Study of Utility of Basic Arterial Blood Gas Parameters and Lactate as Prognostic Markers in Patients With Severe Dengue

Study of Biochemical Parameters as Predictors for Need of Invasive Ventilation in Severely Ill COVID-19 Patients

Background

Though laboratory tests have been shown to predict mortality in COVID-19, there is still a dearth of information regarding the role of biochemical parameters in predicting the type of ventilatory support that these patients may require.

Methods

The purpose of our retrospective observational study was to investigate the relationship between biochemical parameters and the type of ventilatory support needed for the intensive care of severely ill COVID-19 patients. We comprehensively recorded history, physical examination, vital signs from point-of-care testing (POCT) devices, clinical diagnosis, details of the ventilatory support required in intensive care and the results of the biochemical analysis at the time of admission. Appropriate statistical methods were used and P-values < 0.05 were considered significant. Receiver operating characteristics (ROC) analysis was performed and Area Under the Curve (AUC) of 0.6 to 0.7, 0.7 to 0.8, 0.8 to 0.9, and >0.9, respectively, were regarded as acceptable, fair, good, and exceptional for discrimination.

Results

Statistically significant differences (p<0.05) in Urea (p = 0.0351), Sodium (p = 0.0142), Indirect Bilirubin (p = 0.0251), Albumin (p = 0.0272), Aspartate Transaminase (AST) (p = 0.0060) and Procalcitonin (PCT) (p = 0.0420) were observed between the patients who were maintained on non-invasive ventilations as compared to those who required invasive ventilation. In patients who required invasive ventilation, the levels of Urea, Sodium, Indirect bilirubin, AST and PCT were higher while Albumin was lower. On ROC analysis, higher levels of Albumin was found to be acceptable indicator of maintenance on non-invasive ventilation while higher levels of Sodium and PCT were found to be fair predictor of requirement of invasive ventilation.

Conclusion

Our study emphasizes the role of biochemical parameters in predicting the type of ventilatory support that is needed in order to properly manage severely ill COVID-19 patients.

Predictors of Mortality in Patients With Dengue Fever: Insights From a Comparative Analysis

Objective To determine the clinical and biochemical predictors of mortality in patients with dengue fever. Methods This was an analytical, cross-sectional study conducted at Hayatabad Medical Complex, Peshawar, Pakistan. The study participants were patients admitted to the hospital for the management of dengue fever. Clinical parameters (age, gender, duration of hospital stay, and the presence of complications) and biochemical parameters [white blood cells count (WBC), platelet count, serum c-reactive protein (CRP) level, serum alanine aminotransferase (ALT) level, and serum creatinine] were recorded. These parameters were compared between the survivors and non-survivors of dengue fever. Results Out of 115 patients, the majority (n=82, 71.3%) were up to 45 years and the mean age was 38.40 ± 18.1 years. Most of the patients (n=105, 91.3%) survived. On univariate logistic regression analysis, age more than 45 years [odds ratio (OR) 0.141, 95% confidence interval (CI) 0.034 - 0.585, p = 0.007), leukocytosis (> 11,000/mcL) (OR 0.187, 95% CI 0.049 - 0.719, p = 0.015), and acute kidney injury (creatinine > 1.5 mg/dL) (OR 0.124, 95% CI 0.029 - 0.531, p = 0.005)] at the time of admission reduced the likelihood to survive. Leukocytosis and acute kidney injury remained significant independent predictors of mortality on multivariate logistic regression analysis. [(OR 0.201, 95% CI 0.042 - 0.960, p = 0.044) and (OR 0.148, 95% CI 0.026 - 0.857, p = 0.033) for survival, respectively]. Gender, duration of inpatient stay, thrombocytopenia (platelets < 30,000/mcL), and acute liver injury (ALT > 200 IU/L) were not associated with mortality from dengue fever. Conclusion Age over 45 years, leukocytosis, and acute kidney injury at presentation increased the likelihood of mortality from dengue fever in this study. Gender, duration of hospital stay, thrombocytopenia, and acute liver injury did not affect the odds of mortality.

Biochemical Parameters as Prognostic Markers in Severely Ill COVID-19 Patients

Background

Prognostication plays a pivotal role in critical care medicine. Its importance is indisputable in the management of coronavirus disease 2019 (COVID-19), as the presentation of this disease may vary from docile, self-limiting symptoms to lethal conditions. Amid the COVID-19 pandemic, much emphasis was initially placed on molecular and serological testing. However, it was realized later that routine laboratory tests also provide key information in terms of the severity of the disease and thus could be used to predict the outcome of these patients.

Methodology

The aim of our study was to evaluate the biochemical parameters as prognostic markers in severely ill COVID-19 patients. We carried out a retrospective, case-control study. The study population was comprised of all severely ill COVID-19 patients admitted between October 2020 and January 2021 at our level 3 COVID hospital. Cases were defined as the patients who expired despite treatment and all resuscitative measures as per the standard operating procedures (SOPs) of our COVID intensive care unit (ICU) while controls were defined as the patients that were transferred out of the COVID ICU for further recovery. The detailed history, findings of physical examination, vitals recorded by point of care testing (POCT) devices at our ICU, clinical diagnosis, and the results of the biochemical analysis were recorded in a specially designed pro forma. The biochemical parameters recorded at the time of admission were compared between the groups of controls and cases in order to evaluate their role as predictors of mortality using appropriate statistical methods. P-values less than 0.05 were considered statistically significant. For all the parameters that showed a statistically significant difference, receiver operating characteristics (ROC) analysis was done to assess the utility of biochemical parameters as predictors of mortality or survival. Areas under the curve (AUCs) of 0.6 to 0.7, 0.7 to 0.8, 0.8 to 0.9, and >0.9 were considered acceptable, fair, good, and excellent for discrimination, respectively.

Results

Of the 178 severely ill COVID-19 patients enrolled in the study, 86 were controls and 92 were cases (52% mortality). Serum urea (p<0.0001), creatinine (p=0.0019), aspartate transaminase (AST) (p=0.0104), lactate dehydrogenase (LDH) (p=0.0001), procalcitonin (PCT) (p=0.0344), and interleukin 6 (IL-6) (p=0.0311) levels were significantly higher (p<0.05), while total protein (p=0.0086), albumin (p<0.0001), and indirect bilirubin (p=0.0147) levels were significantly lower (p<0.05) in cases as compared to controls. The difference was statistically insignificant (p>0.05) for serum sodium, potassium, total and direct bilirubin, globulin, alanine transaminase (ALT), alkaline phosphatase (ALP), D-dimer, and ferritin. On ROC analysis, urea was fair (AUC=0.721), creatinine (AUC=0.698) and IL-6 (AUC=0.698) were acceptable predictors of mortality, while albumin (AUC=0.698) was an acceptable predictor of survival in severely ill COVID-19 patients during their intensive care stay.

Conclusion

Understanding the pathophysiological changes associated with the severity of COVID-19 in terms of an alteration of biochemical parameters is a pressing priority. Our study highlights the importance of routine laboratory tests in predicting outcomes in severely ill COVID-19 patients.