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Pharmacological nephrotoxicity profile in a comprehensive cancer center: What changed in two decades and predictors for the need for haemodialysis and mortality
Perfil de nefrotoxicidad farmacológica en un comprehensive cancer center: Qué ha cambiado en dos décadas y predictores de la necesidad de hemodiálisis y mortalidad
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André Ferreira
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ferreiraandre_5@hotmail.com

Corresponding author.
, Marina Reis1, Teresa Chuva2, Hugo Ferreira, Inês Coelho, Ana Paiva3, José Maximino Costa
Division of Nephrology, Department of Medicine, Instituto Português de Oncologia do Porto, FG, E.P.E., Porto, Portugal
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Table 1. Demographics, clinical data, and outcomes in the first and second decades.
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Table 2. Nephrotoxic drug group implicated in acute kidney injury per case (n=410).
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Table 3. Bivariate analysis assessing risk factors for the need for RRT.
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Table 4. Multivariate analysis assessing risk for the need for renal replacement therapy within the drug groups implicated.
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Table 5. Multivariate analysis assessing risk for the need for renal replacement therapy within all the variables in the study.
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Table 6. Bivariate analysis assessing risk factors for mortality.
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Table 7. Multivariate analysis assessing risk for mortality within the drug groups implicated. CI, confidence interval.
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Table 8. Multivariate analysis assessing risk for mortality within all the variables in the study.
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Abstract
Introduction and objectives

Acute kidney injury (AKI) is a frequent and severe complication in hospitalised cancer patients. However, overall data from in-hospital drug-related AKI in cancer patients is scarce. We aim to review the profile of moderate to severe drug-induced AKI in patients admitted to an oncology hospital over the last two decades and to assess renal and overall outcomes.

Material and methods

410 cases of drug-induced AKI KDIGO2 were analyzed, comparing between two decades from 2002 to 2021 in a comprehensive cancer center.

Results

The main differences were the introduction of new classes of cancer therapy (e.g., immune checkpoint inhibitors [ICPI] and tyrosine kinase inhibitors [TKI]), a decrease in nephrotoxicity due to platinum-based drugs, and an increase in nephrotoxicity caused by multiple drugs without cancer-directed therapy. Mortality was similar, but the need for haemodialysis (HD) was higher in the second decade (25.5% vs 36.6%, p=0.02). Multivariate analysis presented invasive mechanical ventilation and sepsis as risk factors for both HD and mortality, haematologic cancer as risk factors for HD, and the need for HD and multiple drugs without cancer-directed therapy as risk factors for mortality.

Conclusion

Adequate drug surveillance and prophylaxis render cancer therapy as a relatively small contributor to drug-induced AKI in a comprehensive cancer center. Critically ill patients have a higher need for HD and mortality regardless of the nephrotoxic agent implied.

Keywords:
Acute kidney injury
Drug nephrotoxicity
Onco-nephrology
Cancer patients
Haemodialysis
Mortality
Resumen
Antecedentes y objetivos

La lesión renal aguda (LRA) es una complicación frecuente y grave en pacientes con cáncer hospitalizados. Sin embargo, los datos generales sobre la LRA relacionada con fármacos en pacientes con cáncer durante la hospitalización son escasos. Nuestro objetivo es revisar el perfil de la LRA moderada a grave inducida por fármacos en pacientes ingresados en un hospital oncológico durante las últimas dos décadas y evaluar los resultados renales y generales.

Materiales y métodos

Se analizaron 410 casos de LRA KDIGO≥ 2 inducida por fármacos, comparando entre dos décadas de 2002 a 2021 en un comprehensive cancer center.

Resultados

Las principales diferencias fueron la introducción de nuevas clases de terapia contra el cáncer (p. ej., inhibidores de puntos de control inmunitarios [ICPI] e inhibidores de la tirosina quinasa [TKI]), una disminución de la nefrotoxicidad debido a fármacos basados en platino y un aumento de la nefrotoxicidad causada por múltiples fármacos sin terapia dirigida al cáncer. La mortalidad fue similar, pero la necesidad de hemodiálisis (HD) fue mayor en la segunda década (25,5% vs 36,6%, p= 0,02). El análisis multivariante presentó la ventilación mecánica invasiva y la sepsis como factores de riesgo tanto para HD como para mortalidad, el cáncer hematológico como factores de riesgo para HD y la necesidad de HD y múltiples fármacos sin terapia dirigida al cáncer como factores de riesgo para mortalidad.

Conclusiones

La adecuada vigilancia farmacológica y la profilaxis hacen que el tratamiento del cáncer sea un contribuyente relativamente pequeño a la LRA inducida por fármacos en un comprehensive cancer center. Los pacientes críticamente enfermos tienen una mayor necesidad de HD y mortalidad independientemente del agente nefrotóxico implicado.

Palabras clave:
Lesión renal aguda
Nefrotoxicidad inducida por fármacos
Onconefrología
Cáncer
Hemodiálisis
Mortalidad
Texto completo
Introduction

Acute kidney injury (AKI) is a frequent and severe complication in hospitalised cancer patients, leading to increased morbidity, mortality, and healthcare costs.1 In a Danish population observational study including 1.2 million people followed from 1999 to 2006, the 1- and 5-year risks of AKI and acute kidney failure (defined by the RIFLE criteria) were 17.5% and 27%, and 4.5% and 7.6%, respectively; the risk varied depending on the type of cancer and respective treatments employed.2 AKI in these patients is particularly concerning because it alters both the pharmacokinetics and pharmacodynamics of anti-cancer drugs, resulting in increased risk for drug-associated toxicities, sometimes contraindicating them, and compromises both the efficacy of oncologic therapies and the patient's overall prognosis.3 One of the most expected contributors to AKI in cancer patients is nephrotoxicity induced by antineoplastic agents. While these drugs are effective in targeting malignancies, many are known to exert toxic effects on renal structures, exacerbating the risk of AKI and often necessitating the use of renal replacement therapies (RRT) such as haemodialysis (HD).4 However, apart from one paper from this group,5 no other studies have directly shown the relative impact of antineoplastic drugs related toxicity on the overall burden of nephrotoxicity in a comprehensive cancer center (i.e. an accredited cancer center with expertise in cancer research and in providing services directly to cancer patients).

Antineoplastic drugs and nephrotoxicity

Antineoplastic agents can exert nephrotoxic effects through diverse mechanisms, including direct tubular damage, glomerular injury, and alterations in renal hemodynamics. Over the years, the spectrum of kidney diseases in cancer patients has changed, mainly as a result of modifications to the cancer treatment regimens.6 Nephrotoxicity can occur with various classes of antineoplastic agents, such as platinum-based compounds (e.g., cisplatin), anthracyclines (e.g., doxorubicin), alkylating agents (e.g., ifosfamide), and targeted therapies such as tyrosine kinase inhibitors (TKIs) and immune checkpoint inhibitors (ICPI).4,7,8 Cisplatin is classically notorious for its nephrotoxic potential, causing dose-dependent renal tubular injury and apoptosis, particularly in the proximal tubules.9 Other agents, such as methotrexate, may lead to nephrotoxicity through crystalluria and obstructive nephropathy,4 whereas drugs like bevacizumab, a vascular endothelial growth factor inhibitor, can induce thrombotic microangiopathy, which results in glomerular injury.7,10 In addition to these, TKI and ICPI are two of the most expanding drug groups in oncology, whose nephrotoxic properties are being thoroughly studied, both causing AKI through several mechanisms. While the most common mechanisms of AKI due to TKI are podocytopathies and thrombotic microangiopathy,11 ICPI causes primarily immune-mediated acute tubulointerstitial nephritis, although other mechanisms may also be implied, whether tubular, vascular, or glomerular in nature.12

The complex interplay between cancer treatment, nephrotoxicity, and AKI underscores the importance of early identification and management of renal complications in oncology patients. Several strategies have been proposed to mitigate the risk of nephrotoxicity, including dose adjustments, hydration protocols, and using nephroprotective agents such as amifostine to prevent cisplatin nephrotoxicity.13 Despite these measures, the prevention of AKI remains challenging and once established, AKI significantly worsens patient outcomes.

Haemodialysis in cancer patients with nephrotoxic AKI

In cancer patients, the decision to initiate dialysis is particularly complex, as it must account not only for the severity of renal dysfunction but also for the patient's overall prognosis and cancer trajectory. Patients with AKI who require HD in oncology settings have significantly higher mortality rates than those who do not.14 The need for RRT is further complicated by the common presence of factors such as infection, tumor lysis syndrome, or concurrent administration of other nephrotoxic agents.3,15 Moreover, oncologic treatments may have to be delayed or adjusted in patients requiring dialysis, potentially affecting cancer outcomes.2

While RRT can be lifesaving by managing the complications of severe AKI, its use in cancer patients is associated with substantial morbidity, prolonged hospital stays, and increased healthcare costs. Additionally, the initiation of dialysis in patients with terminal cancer or poor performance status is a subject of ethical debate, as the burden of dialysis may outweigh the potential benefits in these cases.

Mortality and outcomes in cancer patients with nephrotoxic AKI

A poor prognosis is generally observed in cancer patients who develop nephrotoxic AKI, especially those requiring HD. In critically ill cancer patients, mortality rates associated with AKI are significantly high, with studies indicating in-hospital mortality rates ranging from approximately 50% to as high as 70%, particularly among patients with metastatic disease, sepsis, or multi-organ failure. Haematologic malignancies and high SOFA scores (indicating organ dysfunction severity) are also linked to poorer outcomes. Patients with solid tumors requiring RRT or intensive care unit (ICU) admission experience mortality rates exceeding 70% in some cases, exacerbated by conditions like tumor lysis syndrome and exposure to nephrotoxic treatments.3,16,17

Study aims and rationale

Data from drug-related AKI in cancer patients is scarce. In this setting, we aim to review the profile of moderate to severe nephrotoxic AKI in patients admitted to an oncology hospital over the last two decades, explore the clinical scenarios in which AKI progresses to require RRT, and examine the associated mortality rates in cancer patients. Understanding these dynamics is crucial for clinicians in oncology, as preventing or mitigating nephrotoxicity could enhance patient outcomes, maintain continuity of cancer treatment, and reduce the burden on healthcare systems.

Material and methodsStudy population and design

In this retrospective cohort study, we included all patients hospitalised in a comprehensive cancer center during the period from January 2002 to December 2021 with the diagnosis of AKI KDIGO2 needing evaluation by the Nephrology Department, which primary etiology was drug-induced nephrotoxicity. We excluded all patients for whom complete data could not be collected and patients enrolled in randomized controlled trials. A sub-analysis of the two decades of study time (first decade, 2002–2011 vs second decade, 2012–2021) was carried out (see Supplementary material: Fig. S1).

Statistical analysis

The data was collected from the hospital information system. In descriptive analyses, we analyzed sociodemographic data, oncological data, nephrotoxicity data, clinical factors associated with AKI, and hospitalization outcomes. The normality test Kolmogorov–Smirnov was performed for continuous variables, demonstrating a non-normal distribution. Comparative analysis of all variables was made using non-parametric tests: bivariate inferential analysis was made with Mann–Whitney U test for continuous variables and Pearson's Chi-squared test for categorical variables; multivariate analysis was made with logarithmic regression with stepwise forward method, assessing the models’ goodness of fit with Nagelkerke pseudo-R2. Statistical significance was considered for p-value<0.05. Statistical analysis was conducted using SPSS® version 28.0.

Study oversight

The study was approved by the institution's Medical Ethics Committee (ref. no. 015/024). No data on patients’ personal information was recorded, and their identities were protected.

ResultsStudy population

Fig. S1 (Supplementary material) depicts the flow chart for sample selection. We collected data on 2042 inpatients whose diagnosis of AKI KDIGO2 were made and selected 584 in which the primary etiology for AKI was drug-induced nephrotoxicity. In total, 174 were excluded due to incomplete data. The final study population was 410 patients; the sub-analysis comparing the two decades of the study comprised 137 patients in the first decade and 273 patients in the second decade. There was an asymmetric eligibility between the study's first and second decade, as seen in Fig. S1 (Supplementary material).

Overall characterization

Table 1 summarizes demographic and clinical data.

Table 1.

Demographics, clinical data, and outcomes in the first and second decades.

  First decade  Second decade  Overall  p 
Demographic data
Gender (n, %)        0.536 
Male  82 (59.9)  172 (63.0)  254 (62.0)   
Female  55 (40.1)  101 (37.0)  156 (38.0)   
Age (median, IQR)        0.027* 
  59 [43–69]  62 [51–71]  61 [48–71]   
Age group (n, %)        0.002* 
0–9  8 (5.8)  1 (0.4)  9 (2.2)   
10–19  4 (2.9)  11 (4.0)  15 (3.7)   
20–29  2 (1.5)  12 (4.4)  14 (3.4)   
30–39  12 (8.8)  11 (4.0)  23 (3.6)   
40–49  19 (13.9)  27 (9.9)  46 (11.2)   
50–59  28 (20.4)  54 (19.9)  82 (20.0)   
60–69  35 (25.5)  68 (25.0)  103 (25.2)   
70–79  20 (14.6)  69 (25.4)  89 (21.8)   
80–89  7 (5.1)  18 (6.6)  25 (6.1)   
90–99  2 (1.5)  1 (0.4)  3 (0.7)   
Oncologic data
Cancer group (n, %)        0.906 
Breast  8 (5.8)  9 (3.3)  17 (4.1)   
Gastrointestinal  22 (16.1)  51 (18.7)  73 (17.8)   
Gynecologic  7 (5.1)  12 (4.4)  19 (4.6)   
Head and neck  12 (8.8)  18 (6.6)  30 (7.3)   
Haematologic  60 (43.8)  118 (43.2)  178 (43.4)   
Lung  6 (4.4)  14 (5.1)  20 (4.9)   
Sarcoma  6 (4.4)  9 (3.3)  15 (3.7)   
Skin  2 (1.5)  6 (2.2)  8 (2.0)   
Urologic  12 (8.8)  30 (11.0)  42 (10.2)   
Others  2 (1.5)  6 (2.2)  8 (2.0)   
>1 cancer (n, %)        N/A 
Yes  N/A  12 (0.5)  12 (0.5)   
No  N/A  398 (99.5)  398 (99.5)   
Hematological transplant (n, %)
Bone marrow transplant  33 (24.1)  56 (20.5)  89 (21.7)  0.408 
of which autologous transplant  25 (18.3)  25 (9.2)  50 (12.2)  0.004* 
of which allogeneic transplant  8 (5.8)  31 (11.3)  39 (9.5)  0.004* 
AKI related data
AKI associated conditions (n, %)
Concomitant pre-renal AKI  5 (3.6)  25 (9.2)  39 (9.5)  0.043* 
Concomitant post-renal AKI  14 (10.2)  20 (7.3)  34 (8.3)  0.316 
Glomerulonephritis  0 (0)  1 (0.4%)  1 (0.2)  N/A 
Graft-versus-host disease  11 (8.0)  24 (8.8)  35 (8.5)  0.795 
Hypercalcemia  3 (2.2)  11 (4.0)  14 (3.4)  0.333 
Post-operatory status  8 (5.8)  12 (4.4)  20 (4.9)  0.522 
Sepsis  37 (27.0)  105 (38.5)  142 (34.6)  0.021* 
Thrombotic microangiopathy  4 (2.9)  6 (2.2)  10 (2.4)  0.655 
Tumor lysis syndrome  2 (1.5)  13 (4.8)  15 (3.7)  0.093 
Tumoral infiltration  11 (8.0)  24 (8.8)  7 (1.7)  0.059 
Clinical outcomes
RRT (n, %)         
RRT  35 (25.5)  100 (36.6)  135 (32.9)  0.024* 
of which continuous HD  22 (16.1)  59 (21.6)  81 (19.8)  0.183 
of which intermittent HD  17 (12.4)  54 (19.8)  71 (17.3)  0.052 
ICU and mortality (n, %)
Invasive mechanical ventilation  33 (24.1)  71 (26.0)  104 (25.4)  0.673 
Deaths  34 (24.8)  87 (31.9)  121 (29.5)  0.140 

AKI, acute kidney injury; GVHD, graft-versus-host disease; HD, haemodialysis; ICU, intensive care unit; IQR, interquartile range; N/A, not available; RRT, renal replacement therapy.

Demographic data

Overall, 243 patients (62%) were male, with a median age of 61 years [interquartile range (IQR) 48–71].

Oncologic data

The most prevalent cancers were haematologic (n=178, 43.4%), gastrointestinal (n=73, 17.8%), urologic (n=42, 10.2%), head and neck (n=30, 7.3%), and lung cancer (n=20, 4.9%), as shown in Table 1. Only 12 patients (0.5%) had evidence of more than one cancer. No data on cancer status and line of therapy was adequately available.

Of the 178 haematologic cancer patients, 89 (21.7%) were submitted to bone marrow transplant (BMT), of which 39 (9.5%) were allogeneic BMT and 50 (12.2%) were autologous BMT.

AKI related factors

Several factors were contemplated as contributors to AKI besides the nephrotoxic drugs (regarded as the primary cause of AKI in this study cases). The most prevalent factor by far was sepsis (n=142, 34.6%), followed by pre-renal causes (n=39, 9.5%) and other factors directly related to cancer and its treatments, such as graft-versus-host disease (GVHD; n=35, 8.5%), obstructive causes (n=34, 8.3%), postoperative status (n=20, 4.9%), tumor lysis syndrome (n=15, 3.7%), hypercalcemia (n=14, 3.4%) and tumoral infiltration (n=7, 1.7%).

Nephrotoxic agents

Table 2 shows the frequency of the nephrotoxic drug group implicated in each case per decade (discussed below); Table S1 (Supplementary material) lists the nephrotoxic drugs implicated, alone or in combination. Overall, 147 (35.9%) cases involved multiple drugs (up to 7 potentially nephrotoxic drugs in the same patient) and 263 (64.1%) involved a single nephrotoxic drug. In the multiple drugs group, the most common agents involved were the antimicrobials (in 70 cases, 17.1% [not shown]), whether a combination of antibiotics, antivirals, or antifungals. In the single nephrotoxic group, NSAIDs were the most common cause (n=79, 19.3%).

Table 2.

Nephrotoxic drug group implicated in acute kidney injury per case (n=410).

  First decade  Second decade  Overall  p 
Number of nephrotoxic drugs per patient (distribution; median, IQR)0.061 
  1 [1–2]  1 [1–2]  1 [1–2]   
Number of nephrotoxic drugs per patient (frequencies; n,%)0.295 
97 (70.8)  173 (63.4)  270 (65.9)   
23 (16.8)  39 (14.3)  62 (15.1)   
11 (8.0)  36 (13.2)  47 (11.5)   
3 (2.2)  15 (5.5)  18 (4.4)   
2 (1.5)  7 (2.6)  9 (2.2)   
1 (0.7)  1 (0.4)  2 (0.5)   
0 (0)  2 (0.7)  2 (0.5)   
Nephrotoxic drug group (n, %)
Antibiotic  27 (19.3)  38 (13.9)  65 (15.9)  0.077 
Antifungal  2 (1.5)  2 (0.7)  4 (1.0)  0.480 
Antiviral  7 (5.1)  8 (2.9)  15 (3.7)  0.276 
Bisphosphonate  0 (0)  6 (2.2)  6 (1.5)  N/A 
Calcineurin inhibitor  8 (5.8)  6 (2.2)  14 (3.4)  0.055 
Immune checkpoint inhibitor  0 (0)  13 (4.8)  13 (3.2)  N/A 
Iodinated contrast  13 (9.5)  17 (6.2)  30 (7.3)  0.232 
Non-steroidal anti-inflammatory  26 (19.0)  53 (19.4)  79 (19.3)  0.916 
Other chemotherapies  4 (2.9)  9 (3.3)  13 (3.2)  0.837 
Platinum-based chemotherapy  14 (10.2)  22 (8.1)  36 (8.8)  0.020* 
RAASi  2 (1.5)  0 (0)  2 (0.5)  N/A 
Tyrosine kinase inhibitor  0 (0)  4 (1.5)  4 (1.0)  N/A 
Others  1 (0.7)  3 (1.1)  4 (1.0)  0.720 
Multiple (with anti-cancer therapy)  9 (6.6)  14 (5.1)  23 (5.6)  0.550 
Multiple (without anti-cancer therapy)  24 (17.5)  78 (28.6)  102 (24.9)  0.011* 
Total  137 (100)  273 (100)  410 (100)   

Note: When several drug groups were involved, they are referred to as ‘Multiple’ and subdivided into groups’ with’ or ‘without’ anti-cancer therapy. N/A, not available; RAASi, renin–angiotensin–aldosterone system inhibitor.

Nephrological and global outcomes

Regarding renal outcomes, 135 (32.9%) patients needed RRT due to drug nephrotoxicity, 81 (19.8%) with continuous HD in ICU.

Regarding global outcomes, 104 (25.4%) patients needed invasive mechanical ventilation (IMV) in ICU. A total of 121 (29.5%) patients died following drug nephrotoxicity.

Evolution through time – first vs second decade comparisonDemographic data

Gender distribution was similar between the two decades (59.9% vs 63.0%, p=0.536), with a higher proportion of men. The patients’ median age was higher in the second decade (59 [IQR 42–69] vs 62 [IQR 51–71] years old, p=0.027).

Oncologic data

The overall distribution of cancer group types in patients with drug nephrotoxicity was similar between the two decades (p=0.906), with haematologic (43.8% vs 43.2%) and gastrointestinal (16.1% vs 18.7%) cancers covering over half the cancers. There was no data on cancer multiplicity per patient in the first decade to allow comparison.

Concerning haematologic patients’ treatment with BMT, there was no statistically significant difference in overall BMT (20.5% vs 24.1%, p=0.408). However, there was a lower proportion of autologous BMT and a higher proportion of allogeneic BMT in the second decade (18.3 vs 9.2% and 5.8% vs 11.3%, respectively, p=0.004).

AKI related factors

There was a statistically significant difference in the two most prevalent AKI-related factors – sepsis and pre-renal causes – both being higher in the second decade (27.0% vs 38.5%, p=0.021, and 3.6% vs 9.2%, p=0.043, respectively). There was no statistically significant difference in the other tested AKI-related factors (Table 1).

Nephrotoxic agents

Analysing Table S1 (Supplementary material), it is evident that several drugs and drug groups were not the cause of AKI in the first decade but were in the second decade, particularly some antibiotics (e.g. colistin), bisphosphonates, and newer groups of anti-cancer therapies, namely ICI, TKI and other targeted therapy drugs like vemurafenib and cetuximab.

Regarding the nephrotoxic agents implicated in each case by drug group (Table 2), there was a lower proportion of platinum-based drugs in the second decade (10.2% vs 8.1%, p=0.020). There was an increase in cases due to multiple drugs not involving cancer-directed therapy (16.8%, vs 28.2%, p=0.011), mainly combinations of antibiotics, antivirals, or antifungals (not shown). There was no difference in the number of drugs implicated in each case (median 1 [IQR 1–2] vs 1 [IQR 1–2], p=0.061).

Nephrological and global outcomes

Regarding nephrological outcomes, the need for RRT increased in the second decade (25.5% vs 36.6%, p=0.024), with no difference in the practice of continuous HD (16.1% vs 21.6%, p=0.183) or intermittent HD (12.4% vs 19.8%, p=0.052).

Regarding global outcomes, there were no statistically significant differences in the need for IMV in ICU setting (24.1% vs 26.0%, p=0.673) or in mortality (24.8% vs 31.9%, p=0.140) between the two decades.

Predictors of the need for haemodialysis in patients hospitalised with drug-induced AKI

Every demographic and clinical variable was evaluated as possible risk factor for the need for RRT.

Bivariate analysis

Demographic status. In the bivariate analysis (Table 3), patients needing RRT were younger (median 53 [IQR 38–64] vs 64 [IQR 54–73] years old, p<0.001 [not shown in Table 3]). We did not find a statistical difference in the need for RRT between genders (p=0.569).

Table 3.

Bivariate analysis assessing risk factors for the need for RRT.

Factors  Need for RRT [n (%)]Odds ratio (CI)  p 
  If factor present  If factor not present     
Demographic data
Gender
Male  81 (31.9)  54 (34.6)  0.88 (0.58–1.35)  0.569 
Oncologic data
Cancer group
Breast  0 (0)  135 (34.4)  N/A  0.003* 
Gastrointestinal  13 (17.8)  122 (36.2)  0.38 (0.20–0.72)  0.002* 
Gynaecologic  1 (5.3)  134 (34.3)  0.11 (0.01–0.91)  0.009* 
Head and neck  2 (6.7)  133 (35.0)  0.13 (0.03–0.57)  0.001* 
Haematologic  105 (59.0)  30 (12.9)  9.69 (5.96–15.75)  <0.001* 
Lung  2 (10.0)  133 (34.1)  0.22 (0.05–0.94)  0.025* 
Sarcoma  3 (20.0)  132 (33.4)  0.50 (0.14–1.77)  0.278 
Skin  1 (12.5)  134 (33.3)  0.29 (0.04–2.35)  0.214 
Urologic  7 (16.7)  128 (34.8)  0.36 (0.16–0.87)  0.018* 
Others  1 (12.5)  134 (33.3)  0.29 (0.04–2.35)  0.214 
Number of cancers
>1 cancer  4 (33.3)  131 (32.9)  1.02 (0.30–3.45)  0.976 
Hematological transplant
Bone marrow transplant  61 (68.5)  74 (23.1)  7.27 (4.34–12.20)  <0.001* 
AKI related data
AKI associated conditions
Concomitant pre-renal AKI  2 (6.7)  133 (35.0)  0.13 (0.03–0.57)  0.001* 
Concomitant post-renal AKI  6 (17.6)  129 (34.3)  0.41 (0.17–1.02)  0.048* 
Glomerulonephritis  0 (0)  135 (33.0)  N/A  0.483 
Graft-versus-host disease  25 (71.4)  110 (29.3)  6.02 (2.80–12.96)  <0.001* 
Hypercalcemia  3 (21.4)  132 (33.3)  0.55 (0.15–1.99)  0.352 
Post-operatory status  2 (10.0)  133 (34.1)  0.22 (0.05–0.94)  0.025* 
Sepsis  94 (66.2)  41 (15.3)  10.84 (6.70–17.54)  <0.001* 
Thrombotic microangiopathy  5 (50.0)  130 (32.5)  2.08 (0.59–7.30)  0.245 
Tumor lysis syndrome  8 (53.3)  127 (32.2)  2.41 (0.86–6.80)  0.087 
Tumoral infiltration  3 (42.9)  132 (32.8)  1.54 (0.34–6.98)  0.573 
Nephrotoxic drug-related data
Nephrotoxic drug group
Antibiotic  21 (32.3)  114 (33.0)  0.97 (0.55–1.70)  0.908 
Antifungal  1 (25.0)  134 (33.0)  0.68 (0.07–6.57)  0.735 
Antiviral  10 (66.7)  125 (31.6)  4.07 (1.45–12.90)  0.005* 
Bisphosphonate  2 (33.3)  133 (32.9)  1.02 (0.18–5.63)  0.983 
Calcineurin inhibitor  9 (64.3)  126 (31.8)  3.86 (1.27–11.75)  0.011* 
Immune checkpoint inhibitor  1 (7.7)  134 (33.8)  0.16 (0.2–1.27)  0.049* 
Iodinated contrast  8 (26.7)  127 (33.4)  0.72 (0.31–1.67)  0.449 
Non-steroidal anti-inflammatory  7 (8.9)  128 (38.7)  0.15 (0.07–0.35)  <0.001* 
Other chemotherapies  2 (15.4)  133 (33.5)  0.36 (0.08–1.65)  0.171 
Platinum-based chemotherapy  5 (13.9)  130 (34.8)  0.30 (0.12–0.80)  0.011* 
RAASi  0 (0)  135 (33.1)  N/A  0.321 
Tyrosine kinase inhibitor  1 (25.0)  134 (33.0)  0.68 (0.07–6.57)  0.735 
Others  1 (25.0)  134 (33.0)  0.68 (0.07–6.57)  0.735 
Multiple (with anti-cancer therapy)  3 (13.0)  132 (34.1)  0.29 (0.09–0.99)  0.037* 
Multiple (without anti-cancer therapy)  61 (62.0)  73 (23.5)  5.30 (3.27–8.57)  <0.001* 
Clinical outcomes
Intensive care unit
Invasive mechanical ventilation  85 (81.7)  50 (16.3)  22.9 (12.8–41.0)  <0.001* 

AKI, acute kidney injury; CI, confidence interval; N/A, not available; RAASi, renin–angiotensin–aldosterone system inhibitor; RRT, renal replacement therapy.

Cancer status. The need for RRT was higher in haematologic cancer (59.0% vs 12.9%, odds ratio [OR] 9.69 [95% confidence interval (CI) 5.96–15.75], p<0.001) or when patients got BMT (68.5% vs 23.1%, OR 7.27 [95% CI 4.24–12.20], p<0.001), while it was lower in several solid tumors, namely breast (0% vs 34.4%, p=0.003), gastrointestinal (17.8% vs 36.2%, OR 0.38 [95% CI 0.20–0.72], p=0.002), gynaecologic (5.3% vs 34.3%, OR 0.11 [95% CI 0.01–0.91], p=0.009), head and neck (6.7% vs 35.0%, OR 0.13 [95% CI 0.03–0.57], p=0.001), lung (10.0% vs 34.1%, OR 0.22 [95% CI 0.05–0.94], p=0.025) and urologic cancer (16.7% vs 34.8%, OR 0.36 [95% CI 0.16–0.87], p=0.002). Patients with more than one cancer did not show a statistical difference in the need for RRT (p=0.976).

Other clinical factors related to AKI. There was a higher need for RRT in patients with GVHD (71.4% vs 29.3%, OR 6.02 [95% CI 2.80–12.96], p<0.001) and sepsis (66.2% vs 15.3%, OR 10.84 [95% CI 6.70–17.54], p<0.001), while other factors had no difference or had a lower need for RRT, such as patients with concomitant pre-renal AKI (6.7% vs 35.0%, OR 0.13 [95% CI 0.03–0.57], p=0.001), concomitant post-renal AKI (17.6% vs 34.3%, OR 0.41 [95% CI 0.17–1.02], p=0.048) and post-operatory status (10.0% vs 34.1%, OR 0.22 [95% CI 0.05–0.94], p=0.025). The need for IMV also had a higher need for RRT (81.7% vs 16.3%, OR 22.90 [95% CI 12.80–41.00], p<0.001).

Nephrotoxic drug groups. The need for HD was higher when antiviral drugs (66.7% vs 31.6%, OR 4.07 [95% CI 1.45–12.90], p=0.005), calcineurin inhibitors (CNI; 64.3% vs 31.8%, OR 3.86 [95% CI 1.27–11.75], p=0.011), and when multiple drugs without cancer-directed therapy (62.0% vs 23.5%, OR 3.32 [95% CI 2.35–4.70], p<0.001) were implicated. On the other hand, ICPI (7.7% vs 33.8%, OR 0.16 [95% CI 0.20–1.27], p=0.049), non-steroidal anti-inflammatory drugs (8.9% vs 38.7%, OR 0.15 [95% CI 0.07–0.35], p<0.001), platinum-based therapy (13.9% vs 34.8%, OR 0.30 [95% CI 0.12–0.80], p=0.011), and multiple drugs with cancer-directed therapy (13.0% vs 34.1%, OR 0.29 [95% CI 0.09–0.99], p=0.037) were less likely to precipitate the need of HD.

Multivariate analysis

Multivariable analysis was performed to generate a predictive model based on risk factors for the need for RRT. Two analyses were conducted: one solely assessing the risk factor within the several drug groups and another one with every assessed factor. The drug group model entered the following predictors: antibiotic drug (OR 2.04 [95% CI 1.04–4.00], p=0.038), antiviral drug (OR 8.54 [95% CI 2.70–27.11], p<0.001), CNI (OR 7.69 [95% CI 2.38–24.85], p<0.001), and multiple drugs without cancer-directed therapy (OR 6.97 [95% CI 3.87–12.54], p<0.001) as risk factors for the need of RRT, and NSAID (OR 0.42 [95% CI 0.17–1.01], p=0.052) as a protective factor for the need of RRT (Table 4). The model's Nagelkerke pseudo-R2 of 0.267 indicates a moderate relationship between the predictors and the need for RRT.

Table 4.

Multivariate analysis assessing risk for the need for renal replacement therapy within the drug groups implicated.

Factors  B coefficient  Standard error  Odds ratio (CI)  p 
Antibiotic  0.712  0.343  2.038 (1.040–3.993)  0.038 
Antiviral  2.145  0.589  8.538 (2.689–27,110)  <0.001 
Calcineurin inhibitor  2.039  0.599  7.685 (2.376–24,851)  <0.001 
NSAID  −0.879  0.452  0.415 (0.171–1.006)  0.052 
Multiple (without anti-cancer therapy)  1.941  0.300  6.966 (3.870–12,537)  <0.001 
Constant  −4.506  1.281  0.011  <0.001 

CI, confidence interval; NSAID, non-steroidal anti-inflammatory drug.

The overall model entered the following predictors: haematologic cancer (OR 3.27 [95% CI 1.82–5.90], p<0.001), sepsis (OR 2.18 [95% CI 1.08–4.41], p=0.030), and IMV (OR 7.46 [95% CI 3.31–16.80], p<0.001) as risk factors for the need of RRT (Table 5). The model's Nagelkerke pseudo-R2 of 0.471 indicates a strong relationship between the predictors and RRT.

Table 5.

Multivariate analysis assessing risk for the need for renal replacement therapy within all the variables in the study.

Factors  B coefficient  Standard error  Odds ratio (CI)  p 
Haematologic cancer  1.159  0.300  3.188 (1.772–5.735)  <0.001 
Sepsis  0.773  0.359  2.166 (1.073–4.376)  0.031 
Invasive mechanical ventilation  1.923  0.408  6.842 (3.076–15,217)  <0.001 
Constant  −2.447  0.466  0.087  <0.001 

CI, confidence interval.

Predictors for mortality in patients hospitalised with drug-induced AKIBivariate analysis

Demographic status. In the bivariate analysis (Table 6), patients with fatal outcomes were younger (median 54 [IQR 38–65] vs 63 [IQR 53–73] years old, p<0.001 [not shown in Table 6]). We did not find a statistical difference in mortality between genders (p=0.498).

Table 6.

Bivariate analysis assessing risk factors for mortality.

Factors  Mortality [n (%)]Odds ratio (CI)  p 
  If factor present  If factor not present     
Demographic data
Gender
Male  78 (30.7)  43 (27.6)  1.16 (0.88–1.81)  0.498 
Oncologic data
Cancer group
Breast  0 (0)  121 (30.8)  N/A  0.006* 
Gastrointestinal  9 (12.3)  112 (33.2)  0.28 (0.14–0.59)  <0.001* 
Gynaecologic  0 (0)  121 (30.9)  N/A  0.004* 
Head and neck  2 (6.7)  119 (31.3)  0.16 (0.04–0.67)  0.004* 
Haematologic  96 (53.9)  25 (10.8)  9.69 (5.83–16.13)  <0.001* 
Lung  4 (20.0)  117 (30.0)  0.58 (0.19–1.78)  0.339 
Sarcoma  3 (20.0)  118 (29.9)  0.59 (0.16–2.12)  0.411 
Skin  1 (12.5)  120 (29.9)  0.34 (0.04–2.76)  0.287 
Urologic  6 (14.3)  115 (31.3)  0.37 (0.15–0.90)  0.022* 
Others  0 (0)  121 (30.1)  N/A  0.065 
Number of cancers
>1 cancer  5 (41.7)  116 (29.1)  1.74 (0.54–5.59)  0.349 
Hematological transplant
Bone marrow transplant  57 (64.0)  64 (19.9)  7.15 (4.29–11.94)  <0.001* 
AKI related data
AKI associated conditions
Concomitant pre-renal AKI  4 (13.3)  117 (30.8)  0.35 (0.12–1.01)  0.044* 
Concomitant post-renal AKI  6 (17.6)  115 (30.6)  0.49 (0.20–1.21)  0.113 
Glomerulonephritis  0 (0)  121 (29.6)  N/A  0.517 
Graft-versus-host disease  21 (60.0)  100 (26.7)  4.13 (2.02–8.42)  <0.001* 
Hypercalcemia  4 (28.6)  117 (29.5)  0.95 (0.29–3.10)  0.937 
Post-operatory status  3 (15.0)  118 (30.3)  0.41 (0.12–1.41)  0.145 
Sepsis  91 (64.1)  30 (11.2)  14.16 (8.49–23.61)  <0.001* 
Thrombotic microangiopathy  4 (40.0)  117 (29.3)  1.61 (0.45–5.82)  0.462 
Tumor lysis syndrome  8 (53.3)  113 (28.6)  2.85 (1.01–8.05)  0.039* 
Tumoral infiltration  3 (42.9)  118 (29.3)  1.81 (0.39–8.22)  0.435 
Nephrotoxic drug-related data
Nephrotoxic drug group
Antibiotic  11 (16.9)  110 (31.9)  0.44 (0.22–0.87)  0.015* 
Antifungal  1 (25.0)  134 (33.0)  0.68 (0.07–6.57)  0.735 
Antiviral  8 (53.3)  113 (28.6)  2.85 (1.01–8.05)  0.039* 
Bisphosphonate  1 (16.7)  120 (29.7)  0.47 (0.06–4.10)  0.487 
Calcineurin inhibitor  7 (50.0)  114 (28.8)  2.47 (0.85–7.21)  0.087 
Immune checkpoint inhibitor  1 (7.7)  120 (30.2)  0.19 (0.3–1.50)  0.080 
Iodinated contrast  3 (10.0)  118 (31.1)  0.25 (0.07–0.83)  0.015* 
Non-steroidal anti-inflammatory  7 (8.9)  114 (34.4)  0.19 (0.08–0.42)  <0.001* 
Other chemotherapies  3 (23.1)  118 (29.7)  0.71 (0.19–2.62)  0.171 
Platinum-based chemotherapy  4 (11.1)  117 (31.3)  0.28 (0.10–0.79)  0.011* 
RAASi  0 (0)  121 (29.7)  N/A  0.359 
Tyrosine kinase inhibitor  0 (0)  121 (29.8)  N/A  0.193 
Others  2 (50.0)  119 (29.3)  2.41 (0.34–17.32)  0.367 
Multiple (with anti-cancer therapy)  3 (13.0)  118 (30.5)  0.34 (0.10–1.17)  0.075 
Multiple (without anti-cancer therapy)  67 (67.0)  54 (17.4)  9.63 (5.78–16.03)  <0.001* 
Clinical outcomes
Renal replacement therapy
Renal replacement therapy  83 (61.5)  38 (13.8)  9.96 (6.12–16.21)  <0.001* 
of which continuous hemodialysis  54 (66.7)  67 (20.4)  7.82 (4.58–13.34)  <0.001* 
of which intermittent hemodialysis  41 (56.9)  80 (23.7)  4.27 (2.51–7.24)  <0.001* 
Intensive care unit
Invasive mechanical ventilation  83 (79.8)  38 (12.4)  27.9 (15.5–50.1)  <0.001* 

AKI, acute kidney injury; CI, confidence interval; N/A, not available; RAASi, renin–angiotensin–aldosterone system inhibitor.

Cancer status. Mortality was higher in haematologic cancer (53.9% vs 10.8%, OR 9.69 [95% CI 5.83–16.13], p<0.001) or when they got BMT (64.0% vs 19.9%, OR 7.14 [95% CI 4.29–11.94], p<0.001), while it was lower in several solid tumors, namely breast (0% vs 30.8%, p=0.006), gastrointestinal (12.3% vs 33.2%, OR 0.28 [95% CI 0.14–0.59], p<0.001), gynaecologic (0% vs 30.9%, p=0.004), head and neck (6.7% vs 31.3%, OR 0.16 [95% CI 0.04–0.67], p=0.004), and urologic cancer (14.3% vs 31.3%, OR 0.37 [95% CI 0.15–0.90], p=0.022). Patients with more than one cancer did not show a statistical difference in mortality (p=0.349).

Other clinical factors related to AKI. There was higher mortality in patients with GVHD (60.0% vs 26.7%, OR 4.12 [95% CI 2.02–8.42], p<0.001), sepsis (64.1% vs 11.2%, OR 14.16 [95% CI 8.49–23.61], p<0.001), and tumor lysis syndrome (53.3% vs 28.6%, OR 2.85 [95% CI 1.01–8.05], p=0.039), while concomitant pre-renal AKI was associated with lesser mortality (13.3% vs 30.8%, OR 0.35 [95% CI 0.23–1.01], p=0.044) and no other factor had a statistically significant difference in mortality. The need for IMV was also associated with higher mortality (79.8% vs 12.4%, OR 27.90 [95% CI 15.50–50.10], p<0.001), as well as the need for RRT was (61.5% vs 13.8%, OR 9.96 [95% CI 6.12–16.21], p<0.001).

Nephrotoxic drug groups. Mortality was higher when antiviral drugs (53.3% vs 28.6%, OR 2.85 [95% CI 1.01–8.05], p=0.039) and multiple drugs without cancer-directed therapy (67.0% vs 17.4%, OR 9.63 [95% CI 5.78–16.03], p<0.001) were implicated. On the other hand, antibiotic drugs (16.9% vs 31.9%, OR 0.44 [95% CI 0.22–0.87], p=0.015), iodinated contrast (10.0% vs 31.1%, OR 0.25 [95% CI 0.07–0.83], p=0.015), non-steroidal anti-inflammatory drugs (8.9% vs 34.4%, OR 0.19 [95% CI 0.08–0.42], p<0.001), and platinum-based therapy (11.1% vs 31.3%, OR 0.28 [95% CI 0.10–0.79], p=0.011) had lower mortality.

Multivariate analysis

Multivariable analysis was performed to generate a predictive model based on risk factors for mortality, as conducted for RRT (see above). The drug group model entered the following predictors: antifungal drug (OR 20.08 [95% CI 2.03–198.34], p=0.010), antiviral drug (OR 7.65 [95% CI 2.62–22.38], p<0.001), CNI (OR 6.69 [95% CI 2.22–20.21], p<0.001), and multiple drugs without cancer-directed therapy (OR 13.59 [95% CI 7.89–23.43], p<0.001) as risk factors for mortality (Table 7). The model's Nagelkerke pseudo-R2 of 0.340 indicates a moderate relationship between the predictors and mortality.

Table 7.

Multivariate analysis assessing risk for mortality within the drug groups implicated. CI, confidence interval.

Factors  B coefficient  Standard error  Odds ratio (CI)  p 
Antifungal  3.000  1.168  20,083 (2.034–198,343)  0.010 
Antiviral  2.035  0.548  7.651 (2.616–22,375)  <0.001 
Calcineurin inhibitor  1.901  0.564  6.694 (2.218–20,205)  <0.001 
Multiple (without anti-cancer therapy)  2.609  0.278  13,592 (7.886–23,427)  <0.001 
Constant  −7.644  1.490  0.000  <0.001 

The overall model entered the following predictors: IMV (OR 3.25 [95% CI 1.69–6.22], p<0.001), multiple drugs without cancer-directed therapy (OR 6.97 [95% CI 3.87–12.54], p<0.001), RRT (OR 2.49 [95% CI 1.30–4.81], p=0.006), and sepsis (OR 2.56 [95% CI 1.21–5.40], p=0.014) as risk factors for mortality (Table 8). The model's Nagelkerke pseudo-R2 of 0.531 indicates a strong relationship between the predictors and mortality.

Table 8.

Multivariate analysis assessing risk for mortality within all the variables in the study.

Factors  B coefficient  Standard error  Odds ratio (CI)  p 
Invasive mechanical ventilation  1.178  0.332  3.247 (1.694–6.222)  <0.001 
Multiple (without anti-cancer therapy)  1.941  0.300  6.966 (3.870–12,537)  <0.001 
Renal replacement therapy  0.914  0.335  2.494 (1.295–4.805)  0.006 
Sepsis  0.938  0.382  2.555 (1.209–5.400)  0.014 
Constant  −3.092  0.521  0.045  <0.001 

CI, confidence interval.

Discussion

This study provides a comprehensive analysis of drug-induced AKI in hospitalised cancer patients over two decades, highlighting evolving patterns in nephrotoxic agents, the growing need for HD, and associated mortality. Our findings align with global trends in oncology care, though they also reveal unique insights into the Portuguese oncological hospital setting.

To better grasp the several findings of this study, each topic will be addressed in the following subsections.

Evolution of drug-induced nephrotoxicity and changing drug profiles

Regarding the sample baseline characteristics, there was no significant difference in gender (p=0.536) or cancer distribution (p=0.906) between the two decades of the study, with only a slightly older sample in the second decade (median 59 [IQR 43–69] vs 62 [IQR 51–71] years old, p=0.002).

There were significant differences, however, in the available/used treatments for these patients, either by the appearance of new drugs or by the change in incidence of AKI with classically known nephrotoxic drugs. There was a decrease in cases involving platinum-based drugs (10.2% vs 8.1%, p=0.020) and an increase in cases involving a combination of multiple drugs without cancer-directed therapy, mainly due to combinations of antibiotics, antivirals, or antifungals (17.5% vs 28.6%, p=0.011). This trend may reflect advancements in cancer treatment protocols (e.g. intravenous hydration protocols), allowing for safer drug administrations with fewer adverse effects, particularly nephrotoxicity, for which clinicians are increasingly aware and able to treat. In fact, in a comprehensive cancer center, most AKI cases do not need a specialized nephrology evaluation and are managed by the oncology assistant team or referred to the nephrology outpatient clinic. Only a small proportion of AKI cases, usually KDIGO 2 or 3, need hospitalization with follow-up by the nephrology team; those are the ones represented in this study (Fig. 1). In addition, novel therapies like ICPI and TKI have become more prevalent, bringing new aspects to drug monitoring and side effects while allowing for less usage of classically known toxic chemotherapies. ICPIs and TKIs accounted for 4.8% and 1.5% of nephrotoxicity cases in the second decade, respectively, aligning with studies that report these agents’ emerging role in inducing renal complications.4,7,8 Kitchlu et al. reported similar findings, demonstrating an increase in AKI cases related to modern cancer therapies, particularly with the introduction of targeted therapies like TKI.15 Our findings also resonate with the work of Perazella et al., which highlights the nephrotoxic potential of these new oncologic agents and underscores the necessity for vigilant renal monitoring in cancer patients receiving these treatments.18

Fig. 1.

Follow-up of AKI cancer patients in a comprehensive cancer center. AKI, acute kidney injury.

(0.08MB).

The nephrological profile identified in our population is similar to the outpatient nephrotoxic profile regarding cancer therapy as described in the study by Alonso et al.19 However, differences in the drug-induced nephrotoxicity profile were also identified since hospitalised patients, particularly those with critical illness or requiring intensive care, are exposed to a broader array of nephrotoxic agents beyond antineoplastic drugs, including antimicrobials and other supportive therapies. In fact, regardless of the decade in analysis, cancer-directed therapy accounted for around one-fifth of the drug-induced AKI cases, with an overall percentage of 16.1% caused by a single nephrotoxic agent and 5.6% in combination with other nephrotoxic drugs. The most common nephrotoxic agents were NSAIDs and antibiotic drugs, with an overall representation of 19.3% and 15.9% as single nephrotoxic agents, respectively, also contributing to a large proportion of cases involving multiple drugs without cancer-directed therapy, making grossly one-quarter of all nephrotoxicity cases. These findings prove interest in showing that most cases of drug-induced AKI in a comprehensive cancer center are not caused by antineoplastic agents, highlighting the complexity of oncologic patients and the awareness for the surveillance of cancer treatments.

Haemodialysis and its increasing necessity

One of the significant findings of our study is the increase in the need for RRT over the two decades, rising from 25.5% to 36.6% (p=0.024). This could reflect an increase in the complexity and severity of AKI cases, driven in part by the intensified use of nephrotoxic drug combinations and the longer survival of cancer patients. Patients with AKI who require RRT face significantly worse outcomes, including higher mortality rates, which is consistent with our findings, specifically in drug-induced AKI.

To begin, we ran a bivariate analysis, which showed several variables to be associated with a higher need for RRT, such as younger age, haematologic cancer, BMT, severe clinical complications like GVHD, IMV, and sepsis, and some drugs (antiviral, CNI, and the use of multiple drugs without cancer-directed therapy). On the other hand, most of the solid cancers, reversible clinical complications such as pre and post-renal AKI, and some drugs, particularly NSAID, platinum-based drugs, ICPI, and the use of multiple drugs with cancer-directed therapy, were associated with lower need for RRT. Although multivariate analysis cleared some of these predictors as confounding factors, several thoughts can be made regarding this. Firstly, the need for RRT is higher when the measured factor implies greater severity of clinical status, such as haematologic cancers and several drugs. Interestingly, drugs other than antimicrobials and immunosuppressives do not seem to increase the need for RRT, as those are not expected to lead to irreversible AKI or bad prognosis; furthermore, there is tight surveillance over cancer therapy safety. Also noteworthy, younger patients had a higher need for RRT, which may be counterintuitive, although it may be explained by underlying oncologic disease profiles, such as a higher prevalence of haematologic cancer.

Notwithstanding, multivariate analysis summed up the predictors for the need for RRT to only three factors – haematologic cancer, IMV, and sepsis. Some of the predictors for the need for RRT, namely IMV and sepsis, are in line with other studies,5,20–24 which also identified these factors as strong indicators of severe AKI from all causes, requiring dialysis in critically ill general and cancer patients. Furthermore, we also found haematologic cancer as a risk factor for the need for RRT, which is generally associated with a worse prognosis than solid tumors. The practice of BMT, in some cases, leads to associated immunosuppression and risk of infectious diseases, prone to the need for nephrotoxic drugs such as several antimicrobials.

Mortality and AKI: a persistent challenge

The overall mortality rate in our cohort was high (29.5%), a finding that echoes the results of similar studies in cancer patients with AKI.25 The need for RRT was a significant predictor of mortality, reinforcing the link between severe AKI and poor patient outcomes.

As was seen for the need for RRT (see above), grossly the same factors were predictors of higher or lower risk for mortality, also expressing relation to underlying disease severity and treatment complications. Once more, no cancer therapy was associated with higher mortality.

Furthermore, multivariate analysis revealed that IMV, multiple nephrotoxic without cancer-directed therapy, RRT, and sepsis were the strongest predictors of death. Our findings are supported by other reports that found that cancer patients requiring RRT have markedly higher mortality rates than those with milder forms of AKI.2,26 These authors also emphasized the impact of AKI on disrupting cancer treatment, contributing to disease progression and further worsening patient prognosis. This is consistent with the increased mortality observed in our cohort, where AKI likely interrupted cancer-directed therapy, reducing the effectiveness of cancer management. Nevertheless, prospective studies with follow-up after hospital discharge or studies addressing outpatient long-term implications of drug-induced AKI would better ascertain the causality nexus regarding worse clinical outcomes.

Clinical implications, future directions and research, strengths and weaknesses of the study

While the global trend toward more intensive cancer therapies has contributed to improved cancer survival, it has also resulted in increased rates of AKI and the need for interventions such as HD. Our study's findings emphasize the importance of balancing the oncological benefits of newer therapies with their potential for nephrotoxicity. The increase in AKI due to non-antineoplastic drugs, particularly antimicrobials, highlights the need for caution when prescribing these agents in the oncologic setting, especially in patients already at risk of renal impairment. Similar preventive measures like rigorous hydration protocols and dose adjustments for high-risk drugs like cisplatin to mitigate nephrotoxicity are suggested in various studies and recommendations. The use of nephroprotective agents, such as amifostine, has shown some promise in reducing cisplatin-induced renal damage, though their use remains limited due to cost and side effects.9,27,28 Notwithstanding, although this study showed many cases of drug-induced AKI due to cancer-directed therapy, it also showed that its effects seem to be reversible, without a strong association with the need for RRT or mortality and, in some cases, these drugs were associated to lower odds for these adverse events.

Our findings highlight the need for future research. The high mortality rates in patients requiring HD, particularly those with sepsis and IMV, suggest the need for more refined clinical tools to assess when dialysis should be initiated. The role of biomarkers in predicting AKI in cancer patients is also an area of growing interest. Biomarkers such as neutrophil gelatinase-associated lipocalin and kidney injury molecule-1 have shown potential in identifying early kidney damage, allowing for timely interventions.29 Incorporating these biomarkers into clinical practice could help oncologists and nephrologists to personalize treatment plans, balancing cancer efficacy with renal safety.

This is one of the few studies in the literature that gives an insight into drug-induced AKI in cancer patients, comprising a large sample of patients in an extended cohort. However, several limitations should be considered. First, the retrospective study design has inherent limitations, as evidenced by the large number of excluded cases and the lack of information regarding comorbidities and cancer status, particularly in the first decade of the cohort. Second, we did not account for heterogeneity in cancer stage and disease aggressiveness, which are relevant confounders when analysing predictors of RRT and mortality. That is also true for the ECOG scale and baseline chronic kidney disease, a known risk factor for AKI. Third, we did not analyze long-term mortality and chronic kidney disease development due to the lack of follow-up data, which would give greater insight into the implications of AKI in the oncologic therapy and outcome.

Conclusion

The evolution of drug-induced AKI in the oncologic setting over two decades demonstrates both the progress in cancer therapy and the challenges in managing renal complications in cancer care. As cancer treatments continue to evolve, research must focus on minimizing the nephrotoxic effects of these therapies to improve overall patient outcomes and maintain the continuity of oncological care. When used correctly and with the necessary surveillance and prevention (i.e. hydration protocols and dose adjustments for high-risk drugs), the nephrotoxicity of cancer-directed therapy (such as platinum-based drugs, TKIs, or ICPI) is diluted among other nephrotoxic drug groups, common to oncologic and general hospitals. The increased use of HD and persistently high mortality rates underscore the need for better preventive strategies and closer collaboration between oncology and nephrology. Collaborative efforts between these specialities are critical to developing comprehensive care strategies that minimize kidney disease while maximizing cancer treatment outcomes improving overall survival and quality of life.

Printing information

No color is needed for any figures in print.

Conflict of interest

The authors report that there are no competing interests to declare.

Acknowledgments

The authors would like to acknowledge the expertise of the Instituto Português de Oncologia's Medical Oncology and Nephrology Departments on the treatment of the included patients and their dedication and commitment to this paper.

Appendix A
Supplementary data

The followings are the supplementary data to this article:

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