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Predictors of COVID-19 Mortality in Hemodialysis Patients, Hamadan Province, Iran
Ebrahim Jalili1, Salman Khazaei2,3, Ali Reza Soltanian4,5
1Department of Emergency Medicine, School of Medicine Besat Hospital, Hamadan University of medical sciences, Hamadan, Iran.. jalili.dr@gmail.com.
Insights
Predictors of death in hemodialysis patients with COVID-19 include age, gender, ARDS, and BMI. Higher serum albumin and lower lactate dehydrogenase levels were associated with survival in these high-risk patients.
Area of Science:
- Nephrology
- Infectious Diseases
- Critical Care Medicine
Background:
- Hemodialysis patients are at increased risk for severe outcomes from COVID-19.
- Identifying predictors of mortality is crucial for managing this vulnerable population.
Purpose of the Study:
- To evaluate demographic and clinical predictors of death in hemodialysis patients with COVID-19 in Hamadan, Iran.
Main Methods:
- A cross-sectional study of 50 COVID-19 positive hemodialysis patients.
- Data collected from March 2019 to January 2020.
- Statistical analysis included independent t-tests and chi-square tests to compare survivors and non-survivors.
Main Results:
- Significant predictors of outcome included gender, age, acute respiratory distress syndrome (ARDS) status, and body mass index (BMI).
- Survived patients had higher serum albumin levels (3.49 ± 0.37) compared to non-survivors (3.17 ± 0.42).
- Deceased patients exhibited significantly higher lactate dehydrogenase (LDH) levels (1471.1 ± 1484.89) than survivors (670.86 ± 268.85).
Conclusions:
- Demographic factors (age, gender), ARDS status, BMI, comorbidities, and laboratory markers predict COVID-19 outcomes in hemodialysis patients.
- Awareness of these predictors aids clinical decision-making and risk assessment for COVID-19 mortality in this group.
Background:
Identification of the predictors of coronavirus disease 2019 (COVID-19)-related death in hemodialysis patients plays a key role in the management of these patients. In this regard, the present study aimed to evaluate the predictors of death among COVID-19 infected hemodialysis patients in Hamadan province, Iran.
Study Design:
A cross-sectional study.
Methods:
This cross-sectional study investigated 50 COVID-19 infected hemodialysis patients who were confirmed by polymerase chain reaction (PCR) test and referred to hemodialysis wards of hospitals located in Hamadan province, Iran, from March 2019 and January 2020. In order to compare the demographic characteristics and clinical variables between survived and deceased patients, the independent student t test and chi-square test were applied.
Results:
Out of 50 confirmed COVID-19 hemodialysis patients, 27 (54%) cases were male, 38 (76%) subjects were urban residents, and 4 (8%) individuals were smokers. A significant relationship was observed between patients' gender, age, acute respiratory distress syndrome (ARDS) status, and body mass index (BMI) with the treatment outcome (P < 0.05). A significantly higher level of serum albumin was observed in the survived patients (3.49 ± 0.37 vs. 3.17 ± 0.42, P = 0.030). Moreover, in terms of lactate dehydrogenase (LDH) level, a significantly higher level of LDH was observed in the patients who died (1471.1 ± 1484.89 vs. 670.86 ± 268.85, P = 0.005).
Conclusions:
It can be concluded that some demographic characteristics of the patients, including age, gender, ARDS status, BMI, co-morbidities, and laboratory signs and symptoms are associated with disease outcomes in COVID-19 infected hemodialysis patients. Therefore, awareness about the predictors of death in these patients can help make better and direct clinical decisions and inform health officials about the risk of COVID-19 mortality among hemodialysis patients.
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