Tag Archives: APACHE II score

Prediction of acute kidney injury in mechanically ventilated patients with COVID-19-related septic shock: An exploratory analysis of non-renal organ dysfunction markers

Jose J. Zaragoza1, Jonathan S. Chávez-Iñiguez2,3, Armando Vazquez-Rangel4

1 Critical Care Department, Hospital H+ Queretaro, Mexico
2 Nephrology Department, Hospital Civil de Guadalajara Fray Antonio Alcalde, Guadalajara, Mexico
3 Centro Uniersitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara, Mexico
4 Nephrology Department, Instituto Nacional de Cardiologia, Mexico City, Mexico

DOI: 10.2478/jccm-2026-0013

Background: Acute kidney injury (AKI) is a common and serious complication in critically ill patients with non-kidney organ dysfunction. Early prediction of AKI is crucial for timely intervention and improved outcomes. This study aimed to identify readily available non-renal predictors of AKI and to develop an exploratory prediction model in a specific cohort of critically ill patients with COVID-19-related septic shock requiring mechanical ventilation.
Materials and methods: This was a single-center, observational, retrospective cohort study conducted in the respiratory ICU of Hospital H+ Querétaro between April and December 2020. The study included 42 mechanically ventilated patients with septic shock secondary to SARS-CoV-2 infection and non-kidney organ dysfunction. AKI was defined using the KDIGO criteria. Trend analysis, bivariate and multivariate linear regression, were used to identify predictors of AKI and severe AKI.
Results: AKI occurred in 23 (54.8%) patients, with 6 (14.3%) developing severe AKI. Trend analysis revealed differences in norepinephrine dose, hemoglobin, and lactate trends between groups. A simplified logistic regression model, validated internally with bootstrapping to prevent overfitting, identified a protective trend associated with higher hemoglobin levels on admission. Quantitative analysis of a forecasting model for daily renal function showed moderate predictive accuracy.
Conclusions: This study identified several readily available non-kidney organ dysfunction variables that can predict AKI and its severity in critically ill patients with COVID-19-related septic shock. These findings may help in the early identification of at-risk patients and facilitate timely interventions to potentially improve outcomes. Further validation in larger and more diverse populations is warranted.

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The Utility of Serial Lipid Measurements as a Potential Predictor of Sepsis Outcome: A Prospective Observational Study in a Tertiary Care Hospital

Afrah Abdul Malick1, Jeyakumar Manavalan2, Viveka Murugiah1, Manikandan Bose1, Hariharan Alexander1, Suganthy Kanakasekaran1

1 Velammal Medical College Hospitals and Research Institute, Madurai, Tamil Nadu, India
2 Sri Manakula Vinayagar medical college and Hospital, Puducherry, India

DOI: 10.2478/jccm-2024-0015

Background and aim: Sepsis is the major cause of morbidity and mortality for patients admitted to an intensive care unit worldwide. Currently, Procalcitonin (PCT) is a widely used prognostic marker for sepsis. The high cost of estimating Procalcitonin limits its utility in all health facilities. Lipid Profile, being a frequently done routine investigation, is studied in sepsis patients to predict the prognosis of sepsis. This study was aimed to assess the association between lipid profile parameters, procalcitonin and clinical outcomes in patients with sepsis.
Materials and methods: It is a prospective observational study conducted in a tertiary care hospital in the Department of Biochemistry in collaboration with the Intensive Care Unit (ICU). We included 80 sepsis patients from medical and surgical ICUs. Among them, 59 (74%) survived and 21 (26%) expired. Serum lipid profile, procalcitonin and variables required for APACHE II score are measured at two intervals, one during admission and on day 5. All the parameters were compared between the survivors and the non-survivors.
Results: Serum PCT levels were reduced on Day 5 [3.32 (1.27-11.86)] compared to Day 0 [13.42 (5.77-33.18)] in survivors. In survivors, Total Cholesterol, LDL-C and Non-HDL-C were significantly elevated on Day 5 compared to Day 0. In non-survivors, HDL-C significantly decreased on Day 5. Between survivors and non-survivors, HDL-C significantly decreased on Day 5 (23.88 ± 10.19 vs 16.67 ± 8.27 mg/dl). A Negative correlation was observed between HDL-C & PCT.
Conclusion: Serum Lipid profile levels, namely Total cholesterol, HDL-C and LDL-C, have possible associations with the severity of sepsis. HDL-C have a negative association with the clinical scoring system in sepsis patients. Overall, the findings from our study suggest that lipid profile parameters have possible implications in predicting the outcome of patients with sepsis.

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