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Vol. 46. Issue 2. (February 2026)
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Metformin intoxication: clinical characteristics, treatment and prognosis

Intoxicación por metformina: características clínicas, tratamiento y pronóstico
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Isabel Galcerán Herreraa,b,
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igalceran@hmar.cat

Corresponding author.
, Clara Rosales Escorihuelac,1, Silvia Collado Nietoa,b, Mª Jesús López Casanovab,d,e, Oriol Pallas Villarongab,d, Leire García Campoa,b, Marta Crespoa,c, August Supervíab,c,d,e
a Servicio de Nefrología, Hospital del Mar, Grupo de Investigación en Nefropatías, Instituto de Investigación del Hospital del Mar, Red de Investigación renal RICORS 2040, RD24/004/0003, Barcelona, Spain
b Unidad Funcional de Toxicología, Parc de Salut Mar, Barcelona, Spain
c Universidad Pompeu Fabra-Universidad Autónoma de Barcelona, Barcelona, Spain
d Servicio de Urgencias, Hospital del Mar, Barcelona, Spain
e Grup de Treball de Toxicología de la SoCMUE (SoCMUETox), Barcelona, Spain
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Tables (4)
Table 1. Baseline characteristics of the patients according to whether they presented with the main event (Group I) or not (Group II).
Tables
Table 2. Analyte differences upon admission to the emergency room according to whether the patients experienced the main event (Group I) or not (Group II).
Tables
Table 3. Multivariable analysis for identifying independent predictive factors of the main event in patients with metformin intoxication.
Tables
Table 4. Multivariable analysis for identifying independent predictive factors of the need for extrarenal replacement therapy in patients with metformin intoxication.
Tables
Abstract
Objectives

To identify potential severity predictive factors in patients with metformin intoxication (MI), defined as the need for renal replacement therapy (RRT) and/or patient death.

Methods

Retrospective observational study of patients who presented to the Emergency Department of Hospital del Mar in Barcelona and were diagnosed of MI between January 2010 and April 2024. Data were collected through medical record review.

Results

Seventy-two patients were included (43.1% men and 56.9% women), with an average age of 74.8 ± 10.9 years. We defined the primary end point as need for RRT and/or patient death. Fifty patients (69.4%) met the criteria for the primary end point, 39 needed RRT (54.2%) and 21 patients died (28%). Patients who met the primary end point had higher levels of creatinine (7.0 ± 3.2 vs 5.1 ± 3.6 mg/dl, p = 0.03, lactate (14.1 ± 7.3 vs 7.4 ± 4.1 mmol/l, p < 0.001) and gap anion (37.1 ± 11.5 vs 30.4 ± 9.8, p = 0.002), and lower levels of pH (7.02 ± 0.22 vs 7.17 ± 0.15, p = 0.005) and bicarbonate (8.8 ± 5.4 vs 12.7 ± 5.3, p = 0.005) at diagnosis. Metformin levels were determined in 52 patients (72.2%), being higher in patients who met the primary end point (20.1 [12.7−44.3] vs 8.4 [3.8−22.4] µg/mL, p = 0.05). Multivariate analysis identified that lactate levels at admission was the only predictive factor for the primary end point, with an area under the ROC curve of 0.78. The cut-off point for lactate as a predictor for the primary end point was established at ≥9.6 nmol/l, p = 0.01. Also, multivariate analysis identified that metformin levels at admission were a predictive factor for the need for RRT, with an area under the ROC curve of 0.75 and a cut-off point for metformin levels of ≥9.4 µg/mL, p = 0.002.

Conclusions

MI is a severe intoxication, with high mortality and need for RRT. In our study, the only predictive factor for the need of RRT and/or patient death was the level of lactate. Metformin levels at admission were related with the need for RRT.

Keywords:
Intoxication
Metformin
Lactate
Haemodialysis
Resumen
Objetivos

Identificar posibles factores predictivos de gravedad en pacientes intoxicados por metformina (IPM), definidos como necesidad de depuración extrarrenal (DER) y/o fallecimiento del paciente.

Métodos

Estudio observacional retrospectivo de los pacientes que consultaron en Urgencias del Hospital del Mar de Barcelona y fueron diagnosticados de IPM entre enero de 2010 y abril de 2024. Los datos se recogieron mediante la revisión de historias clínicas.

Resultados

Se incluyeron 72 pacientes (43.1% hombres y 56.9% mujeres), con edad media de 74.8 ± 10.9 años. Se definió el evento principal como la necesidad de DER y/o fallecimiento del paciente. Durante el seguimiento, 50 pacientes (69.4%) presentaron el evento principal, de los cuales 39 requirieron DER (54.2%) y 21 fallecieron (29.2%). Los pacientes que presentaron el evento principal tenían niveles más elevados de creatinina (7.0 ± 3.2 vs 5.1 ± 3.6 mg/dl, p = 0.03), ácido láctico (14.1 ± 7.3 vs 7.4 ± 4.1 mmol/l, p < 0.001) y anión gap (37.1 ± 11.5 vs 30.4 ± 9.8, p = 0.002), y un menor pH (7.02 ± 0.22 vs 7.17 ± 0.15, p = 0.005) y bicarbonato (8.8 ± 5.4 vs 12.7 ± 5.3, p = 0.005) en el momento del ingreso. Se determinaron los niveles de metformina en 52 pacientes (72.2%), siendo más altos en los pacientes que precisaron DER (20.6 [13.6–46.5] vs 8.5 [4.3–25.6] µg/mL, p = 0.01). El análisis multivariado identificó que los niveles de ácido láctico al ingreso fueron el único factor predictivo del evento principal, con un área bajo la curva ROC de 0.78; el punto de corte para el ácido láctico como predictor del evento principal se estableció en ≥9.6 mmol/l, p = 0.01. En el análisis multivariado centrado en la necesidad de precisar DER, se identificaron los niveles de metformina al ingreso como un factor predictivo con un área bajo la curva ROC de 0.75, y un punto de corte de nivel de metformina ≥9.4 µg/mL, p = 0.002.

Conclusiones

La IPM es una entidad grave, con alta mortalidad y necesidad de DER. En nuestro estudio, el único factor predictivo de necesitar DER o de fallecimiento fueron los niveles de ácido láctico, y los niveles de metformina al ingreso se relacionaron con la necesidad de DER.

Palabras clave:
Intoxicación
Metformina
Lactato
Hemodiálisis
Full Text
Introduction

Metformin is a biguanide that is used as a first-line drug for the treatment of type 2 diabetes mellitus (T2DM). Metformin is a safe and effective antihyperglycemic agent whose main mechanism of action is the reduction of hepatic gluconeogenesis and promotion of anaerobic glycolysis, during which lactate is generated.1–5 This drug also reduces intestinal glucose absorption and fatty acid oxidation and has demonstrated cardiovascular benefits,4 protecting endothelial function and reducing cardiomyocyte apoptosis during periods of ischemia.4,6

Under normal conditions, treatment with metformin only moderately increases lactate levels,7 but this increase can be substantial with high levels of metformin (either by accumulation or by an overdose), leading to potentially lethal lactic acidosis.6,8 Moreover, although it demonstrates a good safety profile, some of the side effects of metformin include gastrointestinal problems, headache or taste disorders. However, its most serious adverse effect, type B lactic acidosis, has been associated with mortality rates ranging from 30 to 50%. Although some studies have reported that elevated levels of lactic acid are associated with mortality, there is still little evidence on whether other factors can also influence the severity of metformin intoxication (MI),4,9 since case series published in the literature are not very extensive.

Traditionally, lactic acidosis in people receiving treatment with metformin can be classified into the following three types10: metformin-unrelated lactic acidosis (MULA), metformin-induced lactic acidosis (MILA), and metformin-associated lactic acidosis (MALA). In the first case, as the name suggests, metformin is not the cause of acidosis; instead, another intercurrent pathology, such as sepsis, is solely responsible for the lactic acidosis in the patient. The second type occurs when metformin is the only cause of the lactic acidosis without apparent associated diseases and is usually related to acute poisoning. Finally, MALA is defined by the presence of other associated factors (acute kidney injury [AKI], sepsis, hypoxemia, liver failure, alcoholism, acute myocardial infarction, iodinated contrast media or shock) in addition to the treatment with metformin itself; in these cases, lactic acidosis is a consequence of both conditions.

The objective of this study was to identify possible predictors of severity in patients diagnosed with MI. The main event was defined as the need for extrarenal purification (ERP) and/or death of the patient. The need for ERP was established according to the criteria of the Extracorporeal Treatments in Poisoning (EXTRIP) Workgroup guidelines.11

MethodsStudy design and case definition

This was a retrospective observational study of all patients older than 18 years who were admitted to the Emergency Department of our center and were diagnosed with MI from January 2010 to April 2024.

MI was diagnosed when a patient on metformin treatment or who had intentionally overdosed on metformin had a blood lactic acid concentration above 2.2 mmol/L (the normal limit according to our reference laboratory) and a pH less than 7.35, a bicarbonate concentration lower than 22 mmol/L, an elevated anion gap and the absence of pathological ketonemia. MALA-type MI is defined as a lactate concentration greater than 5 mmol/L and a pH lower than 7.35.11 As specific lactate levels have not been established for MILA or MULA, in our study, we decided to include patients with the aforementioned criteria and pathological lactic acid levels according to our reference laboratory (lactate concentration >2.2 mmol/L). Since December 2018, metformin levels can be requested in our center; thus, in addition to the above criteria, patients had to present plasma concentrations of metformin greater than 2 μg/mL.

Variables of interest

The data were obtained through a review of the medical records. Demographic data collected included age, sex, and the date of MI. The pathological history included hepatic insufficiency, the degree of chronic kidney disease (CKD) (no patient had CKD grade 4 or 5), heart failure, the number and type of previous medications, and the dose of metformin. The analytical data included the estimated glomerular filtration rate (eGFR); the concentrations of creatinine, electrolytes, lactate, and bicarbonate; pH, the anion gap, the creatine kinase concentration, and, for patients admitted after 2018, the plasma metformin levels (measured at 48–72 h after sample extraction). The treatment data included serotherapy, bicarbonate, vasoactive drugs, ERP, the need for admission to the intensive care unit (ICU) and mortality.

Statistical analysis

Statistical analysis was performed by using the IBM SPSS Statistics, Inc., software (version 28.0.1). Continuous variables are expressed as the mean ± standard deviation or median (interquartile range [P25–P75]) according to whether they followed a normal distribution, and categorical variables are expressed as percentages. Comparisons between qualitative variables were performed by using the χ2 test, and comparisons between continuous variables were performed by using Student’s t test or the Mann‒Whitney U test, as appropriate. Finally, a multivariable logistic regression analysis was performed to identify independent predictive factors of severity (including the factors that were significant in the univariable analysis, namely, the presence of CKD grade 3A, the eGFR, and admission plasma values of creatinine, lactate, pH, bicarbonate, the anion gap and metformin), which were subject to ROC curve analysis together with determination of the Youden index. p < 0.05 was considered to indicate statistical significance.

Ethical considerations

The study was approved by the Ethics Committee of the Hospital del Mar in Barcelona and was conducted in accordance with the general and specific recommendations on data confidentiality, as established by the Declaration of Helsinki (World Medical Association: Fortaleza, Brazil, October 2013). Given the nature of this study, a waiver of the need for patient consent was granted. All the authors have reaffirmed their commitment to confidentiality and respect for the rights of the patients in the document of author responsibilities, the publication agreement and the transfer of rights to Nephrology.

Results

During the study period, 72 patients who were diagnosed with MI were identified, 50 of whom (69.4%) presented with the main event, which was defined as the need for ERP and/or death (39 patients required ERP and 21 patients died). The mean age was 74.8 ± 10.9 years, and 56.9% of the participants were women.

The majority of MIs were classified as MALA (67 patients, 93%); 51 patients had AKI (48 of prerenal etiology with a history of emetic syndrome and/or diarrheal syndrome in the days prior to MI, one of an obstructive etiology, 1 due to contrast agent administration in a patient with CKD grade 3B and one due to taking nonsteroidal anti-inflammatory drugs (NSAIDs) in a patient with CKD grade 3A), eight patients had an infectious process without hemodynamic repercussions, four had a septic process, three had decompensation of their cardiac insufficiency and one had upper gastrointestinal bleeding. In addition, five patients were diagnosed with MILA-type MIs that were caused by a voluntary metformin overdose with autolytic ideation.

Table 1 shows the baseline characteristics of the patients according to whether they did (Group I) or did not present the main event (Group II). We found that patients in Group II were more likely to have CKD grade 3A and to have overdosed with autolytic intention. At the level of pharmacological treatment, no differences were detected in the numbers of drugs taken by the patients [55 patients (76.4%) took angiotensin-converting enzyme (ACE) inhibitors or angiotensin II receptor antagonists (ARBs), 15 (20.8%) took NSAIDs and five (2.5%) took aldosterone antagonists; the differences for the individual drugs were also not significant]. Fifty patients (69.4%) were taking diuretics, with a higher proportion in Group I. Likewise, 69.4% of the patients received metformin at a dose that was adjusted for their renal function, and 30.6% of the patients received metformin at a higher dose, as recommended on the basis of their baseline eGFR; neither of these proportions differed between the groups.

Table 1.

Baseline characteristics of the patients according to whether they presented with the main event (Group I) or not (Group II).

  Group I (n = 50)  Group II (n = 22) 
Age (years) (mean ± SD)  75.2 ± 11.0  74.0 ± 10.8  0.3 
Sex (female), n (%)  31 (62.0)  10 (45.4)  0.1 
CKD grade 3, n (%)
CKD grade 3A, n (%)  8 (16)  10 (45.4)  0.008 
CKD grade 3B, n (%)  11 (22)  3 (13.6)  0.4 
Heart failure, n (%)  12 (24.0)  8 (36.4)  0.2 
Hepatic insufficiency, n (%)  2 (4.0)  1 (4.5)  0.9 
Drugs, n (%)       
ACEIs/ARBs  37 (74.0)  18 (81.8)  0.4 
Anti-aldosterone agents  3 (6.0)  2 (9.1)  0.6 
Loop or thiazide diuretic  36 (72.0)  14 (63.6)  0.4 
NSAIDs  12 (24.0)  3 (13.6)  0.3 
Autolysis attempt, n (%)  0 (0)  4 (18.2)  0.002 
Number of drugs (median [IQR25–75])  8.5 (6−11.2)  9 (7−12)  0.6 
Baseline creatinine (mg/dL) (mean ± SD)  1.11 ± 0.49  1.09 ± 0.28  0.4 
Baseline glomerular filtration rate (mL/min/1.73 m262.9 ± 21.8  63.3 ± 15.1  0.4 

NSAID: nonsteroidal anti-inflammatory drug; ARBs: angiotensin II receptor blockers; CKD: chronic kidney disease; SD: standard deviation; ACEI: angiotensin-converting enzyme inhibitor; IQR: interquartile range.

The analytical data of the patients with MI are shown in Table 2. The patients in Group I had higher plasma creatinine and lactic acid levels and anion gaps and lower pH and bicarbonate levels at the time of diagnosis. Metformin levels were determined in 52 patients (72.2%) (39 in Group I [78%] and 13 in group II [59.1%]), and generally, the levels were higher in the patients in Group I.

Table 2.

Analyte differences upon admission to the emergency room according to whether the patients experienced the main event (Group I) or not (Group II).

  Group I (n = 50)  Group II (n = 22) 
Creatinine (mg/dL) (mean ± SD)  7.0 ± 3.2  5.1 ± 3.6  0.03 
Glomerular filtration rate (mL/min/1.73 m2) (median [IQR25–75])  6.0 [5.0−9.0]  8.5 [5.0−34.7]  0.05 
Lactic acid (mmol/L)  14.1 ± 7.3  7.4 ± 4.1  <0.001 
pH  7.02 ± 0.22  7.17 ± 0.15  0.005 
HCO3 (mmol/L)  8.8 ± 5.4  12.7 ± 5.3  0.005 
Anion gap (mEq/L)  37.1 ± 11.5  30.4 ± 9.8  0.002 
CK (μmol/L)  170 [76.0−404.0]  117 [59.7−207.2]  0.1 
Metformin concentration (μg/mL)  20.1 [12.7−44.3]  8.4 [3.8−22.4]  0.05 

CK: creatine kinase; SD: standard deviation; HCO3: plasma bicarbonate; IQR: interquartile range.

In terms of therapeutic management, serum therapy and intravenous bicarbonate were administered to both groups at doses determined according to the protocol and usual clinical practice, but the differences in the percentages of patients treated were not statistically significant (Group I vs. Group II: 85.4% vs. 100% and 81.2% vs. 65.0%, respectively; both p > 0.05).

During follow-up, 39 patients (54.2%) required ERP, of whom 24 (61.5%) received ERP by low-flux hemodialysis and 15 (38.5%) received ERP by continuous veno-venous hemodiafiltration because of hemodynamic instability. The patients who required ERP required greater support with vasoactive drugs (66.7% vs. 12.1%, p < 0.001), were more likely to be admitted to the ICU (71.8% vs. 6.1%, p < 0.001), and had plasma levels of metformin (20.6 [13.6–46.5] vs. 8.5 [4.3–25.6] μg/mL, p = 0.01).

With respect to mortality, 21 patients (29.2%) died after the diagnosis of MI, of whom 10 (25.6%) had undergone ERP and 11 (33.3%) had not; this difference was not significant.

According to the multivariable analysis, the lactic acid concentration at admission was the only predictor of the main event, with an area under the ROC curve of 0.78 and an OR of 10.7 (2.3–50.0) (p = 0.003); the corresponding cutoff point was ≥9.6 mmol/L (Table 3 and Fig. 1).

Table 3.

Multivariable analysis for identifying independent predictive factors of the main event in patients with metformin intoxication.

  ORa  95% CIb  P value   
Lactic acidosis at admission  10.7  2.3  50.0  0.003 
a

OR: odds ratio.

b

95% CI: 95% confidence interval.

Figure 1.

ROC curve of lactic acid levels for the main event (need for extrarenal purification and/or death).

In multivariable analysis solely for the need for ERD, the metformin level at admission was identified as a predictive factor, with an area under the ROC curve of 0.75 and an OR of 33.5 [3.7–302.6] (p = 0.002) and a cutoff point of ≥9.4 μg/mL (Table 4 and Fig. 2).

Table 4.

Multivariable analysis for identifying independent predictive factors of the need for extrarenal replacement therapy in patients with metformin intoxication.

  ORa  95% CIbP value 
Metformin level at admission  33.5  3.7  302.6  0.002 
a

OR: odds ratio.

b

95% CI: 95% confidence interval.

Figure 2.

ROC curve of metformin level for the need for extrarenal purification in patients with metformin intoxication.

Finally, the evolution of renal function was analyzed at 3 months after MI, and no differences were found between the groups. for creatinine concentration, Group I presented an increase of +0.23 ± 0.07 mg/dL with respect to the baseline value, and Group II presented an increase of +0.20 ± 0.08 mg/dL (p = 0.7 between the groups).

Discussion

Metformin remains the most commonly used drug for the treatment of hyperglycemia in patients with T2DM,12 demonstrating clear benefits even in those with CKD.13 Metformin is effective and safe but also has adverse effects, among which type B lactic acidosis is the most important. Metformin-related hyperlactatemia results from the effects of the drug on glucose metabolism. Under normal conditions, the pyruvate generated by glycolysis is incorporated into the Krebs cycle, where it is converted into CO2 and H2O through an energy generation process. In the presence of metformin, pyruvate is converted into lactic acid through the enzyme lactate dehydrogenase, and although at usual metformin doses, this conversion has no clinical consequences, in the case of a metformin overdose, there is a risk of hyperlactatemia and lactic acidosis.14 Lactic acidosis associated with metformin use is a serious condition and, without treatment, is associated with a mortality rate of 30–50%.10 Therefore, identifying lactic acidosis and understanding factors associated with its occurrence are essential.

This study demonstrated that the levels of lactic acid, bicarbonate and pH at admission, as well as the anion gap and metformin levels, were associated with the need for ERP and/or death in diabetic patients with metformin-associated lactic acidosis. However, only lactate level was identified as an independent factor for the main event.

Several studies support our findings,15 while other studies contradict the associations we observed.16,17 Quesada-Redondo et al. identified advanced age, female sex, and the presence of septic shock and comorbidities as predictive factors for MI-associated mortality.16 Peña Porta et al. reported significant differences between deceased patients with MI and survivors in terms of their creatinine levels and lengths of hospital stay.6 However, unlike in our study, none of these variables maintained their statistical significance in the multivariable analysis.

The importance of hyperlactatemia as a prognostic factor was demonstrated in a study by Boucaud Maitre et al.18 In that study, which included 727 patients with MI, the level of lactic acid was independently associated with mortality, which is consistent with the findings of our study.

Finally, regarding lactate levels, it should be noted that in the EXTRIP guidelines,10 ERP is recommended at a lactate concentration of >20 mmol/L (level of evidence 1D) and suggested at a lactate concentration between 15 and 20 mmol/L (level of evidence 2D). Furthermore, if MI coexists with other conditions (AKI, shock, decreased level of consciousness or liver failure), the guidelines suggest ERP at lower levels of lactate, although a specific concentration is not provided. Our study established a much lower cutoff point of the lactic acid concentration, 9.6 mmol/L as a predictor of the main event; thus, most likely, in patients with MI, ERP was performed at lactate levels below those mentioned in the EXTRIP guidelines.

To confirm metformin contribution to acidemia, its plasma levels must be elevated, and factors such as the dose of metformin taken by the patient, the time elapsed since the last administration, the time of determination of the metformin level, the renal function of the patient and the time of progression must be considered, among other data. Therefore, owing to the difficulty of obtaining metformin levels at the time of care for these patients and given that it is often not possible to obtain all the necessary information, Lalau et al.10 suggested that cases of MALA might be less frequent than initially suspected and that, in the absence of plasma levels, it would be more accurate to define the condition as “lactic acidosis in patients treated with metformin (LATM)”.

In our study, metformin levels were obtained for 52 patients; in the univariable analysis, high metformin levels were related to the need for ERP, and in the subsequent multivariable analysis, these findings were confirmed, with a cutoff metformin level of ≥9.4 μg/mL. This is a novel point, given that other authors, such as Boucaud Maitre et al.,18 who included more than 650 patients with MI, could not demonstrate that metformin was associated with mortality. With respect to metformin levels, it should be emphasized that it took 48–72 h to obtain these levels; thus, the decision to perform ERP was based on the criteria of the EXTRIP guidelines.11 Currently, metformin levels are not included as a criterion for performing ERP, and no previous study has determined a specific level of plasma metformin at which ERP should be indicated. In our study, although we defined a metformin level at which ERP needs to be performed, these levels were assessed 48–72 h after the patient was admitted to the emergency room. It is important to obtain additional scientific evidence by performing studies with a larger number of patients and to develop more rapid methods for obtaining metformin levels so that they can play a more relevant role in the indication for ERD.

Notably, CKD plays a key role in the accumulation of metformin and the development of hyperlactatemia. The importance of renal function is highlighted in the study by Connelly et al.,19 which confirmed the relationship between CKD and lactic acidosis in patients treated with metformin. In addition, this relationship is more pronounced as renal function worsens. In our study, 44.4% of patients had grade 3 CKD, and 30.6% of patients received a higher dose of metformin than recommended for their renal function. Therefore, similar to other studies,20 the results of this study highlight the need to closely monitor renal function in patients with CKD who are treated with metformin as well as the emergence of risk factors that can exacerbate CKD and precipitate MI. This also includes concomitant treatments with different drugs, such as NSAIDs, ACEIs or ARBs, that can affect renal function, as well as the importance of polymedication, as has previously been demonstrated by studies such as that of Boada et al.,21 in which patients diagnosed with MALA received an average of 10 drugs daily, or by our own study, in which the median number of drugs per patient was 9.

The limitations of the present study should be noted. First, this was a retrospective study based on the data collected from medical records. Although it was a simple, fast and cost-effective approach, some records may have been incomplete; nevertheless, we do not consider such incompleteness to have substantially affected the final results of the study. In addition, the retrospective and single-center nature of the study make it difficult to extrapolate the results to populations other than those treated at our hospital.

Finally, it is worth mentioning that to establish the main event criterion, we considered the composite of the need for ERP and/or death, which increased the number of cases in Group I compared with what we would have obtained if the two variables had been analyzed independently.

Future research would benefit from prospective, multicenter studies with larger sample sizes and continuous patient follow-up to increase external validity and facilitate the extrapolation of the findings, thus increasing the quality and scientific relevance of the research.

Conclusions

In conclusion, MI is a serious condition with a high mortality rate. In our study, the only predictive factor for the need for ERP and/or death was the lactic acid concentration, while the metformin level at admission was related to the need for ERP.

Financing

This research did not receive specific support from public sector agencies, the commercial sector or nonprofit entities.

Declaration of competing interest

The authors declare that they have no conflicts of interest.

Acknowledgments

The authors would like to thank the collaboration of different people who made the study possible, specifically the emergency and nephrology services, for their involvement in the collection of cases. We also thank Mr. Xavier Durán, a member of the Medical Statistics Unit of the Medical Research Institute of the Hospital del Mar, for his collaboration in our work.

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