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Background Calcium has been shown to play a vital role in the pathophysiology of severe acute respiratory syndrome-coronavirus-2 and middle east respiratory syndrome coronavirus diseases, but less is known about hypocalcemia in coronavirus disease 2019 (COVID-19) patients and its association with the disease severity and the final outcome. Therefore, this study was conducted with an aim to assess clinical features in COVID-19 patients having hypocalcemia and to observe its impact on COVID-19 disease severity and the final outcome. Methods In this retrospective study, consecutive COVID-19 patients of all age groups were enrolled. Demographical, clinical, and laboratory details were collected and analyzed. On the basis of albumin-corrected calcium levels, patients were classified into normocalcemic (n = 51) and hypocalcemic (n = 110) groups. Death was the primary outcome. Results The mean age of patients in the hypocalcemic group was significantly lower (p < 0.05). A significantly higher number of hypocalcemic patients had severe COVID-19 infection (92.73%; p < 0.01), had comorbidities (82.73%, p < 0.05), and required ventilator support (39.09%; p < 0.01) compared with normocalcemic patients. The mortality rate was significantly higher in the hypocalcemic patients (33.63%; p < 0.05). Hemoglobin (p < 0.01), hematocrit (p < 0.01), and red cell count (p < 0.01) were significantly lower with higher levels of absolute neutrophil count (ANC; p < 0.05) and neutrophil-to-lymphocyte ratio (NLR; p < 0.01) in the hypocalcemic patients. Albumin-corrected calcium levels had a significant positive correlation with hemoglobin levels, hematocrit, red cell count, total protein, albumin, and albumin-to-globulin ratio and a significant negative correlation with ANC and NLR. Conclusion The disease severity, ventilator requirement, and mortality were considerably higher in hypocalcemic COVID-19 patients. [ABSTRACT FROM AUTHOR]

Introduction: Traumatic brain injury (TBI) is a leading cause of mortality, morbidity, disability, and socioeconomic losses in the Indian subcontinent. However, for policymaking and research, there is a lack of reliable and larger data in our settings. Aims and Objectives: To evaluate and describe the epidemiological, clinical characteristics, and outcomes of patients with TBI in a Level 1 Trauma Center in India. Materials and Methods: In this retrospective study, all patients with moderate or severe TBI, based on emergency department Glasgow Coma Scale, admitted to neurosurgery Intensive Care Unit (ICU) during May 2010-July 2012 were evaluated to provide detailed information on TBI-related variables and outcomes using descriptive statistics. Results: Among the 1527 patients with moderate or severe TBI patients with mean age 32.15 ± 16.76 years (range: 1-90) and male:female ratio 6.5:1, 1281 (83.89%) had severe TBI. The majority of cases took place in the age group of 21-40 years (50.24%) with the most common mode of injury as road traffic accidents (RTAs) (64.96%). Surgical intervention (craniotomy) was done in 49.12% of patients. About 34.58% (n = 528) patients died in hospital, and 67.21% (n = 701) had unfavorable outcome at 6 months. Conclusions: This is the first study of its kind from the Indian subcontinent that gives data on the admission characteristics, mortality, and 6 months outcome of such patients. Most of the injuries occurred due to RTAs, more common among the economic productive age groups and mostly in males with a high rate of mortality and unfavorable outcome. [ABSTRACT FROM AUTHOR]

Aim: This study was designed to find out the factors influencing mortality in trauma patients receiving massive blood transfusion (MBT). Materials and Methods: Records of all patients admitted during December 2007 to November 2008 at a Level I Trauma Center emergency and who underwent massive transfusion (=10 units of packed red cells in 24 h) were retrospectively analyzed. Death during the hospital stay was considered as the study outcome and various demographic, laboratory, and clinical parameters were included as its potential determinants. Statistical Analysis: Bivariate and multivariate logistic regression analyses were done to identify the risk factors associated with mortality. Results: Of the 4054 transfused patients who were admitted to the trauma center during the study period, 71 (1.8%) patients underwent massive transfusion. Of this, there were 37 survivors and 34 nonsurvivors (48%). The median overall ISS was 27 (22-34). The patients who died had shorter mean length of hospital stay, shorter mean duration of intensive care unit (ICU) stay, and low admission Glasgow Coma Scale (GCS) compared to the survivors (P < 0.01). The mean prothrombin time (PT) and the mean activated partial thromboplastin time was significantly high (P < 0.01) among nonsurvivors. Total leukocyte count (TLC ⩾ 10,000 cells/ cubic mm), GCS ⩽ 8, the presence of coagulopathy and major vascular surgery were the four independent determinants of mortality in multivariate logistic regression analysis. The FFP:PRBC (fresh frozen plasma:packed red cells) ratio and PC:PRBC (platelet concentrate:packed red cells) ratio calculated in our study was not statistically significant in correlation to the in hospital mortality. Conclusions: Overall mortality among the MBT patients was comparable with the studies in the literature. Mortality is not affected by the amount of packed red cells given in the first 12 h and the total number of packed red cells transfused. Prospective studies are required to further validate the determinants of mortality and establish guidelines for MBT. [ABSTRACT FROM AUTHOR]

Background. There is lack of reliable predictors of disease severity and mortality in dengue. The present study was carried out to identify these predictors during the 2015 outbreak in India. Methods. This prospective observational study included confirmed adult dengue patients hospitalized between August and November 2015 in a tertiary care centre in New Delhi, India. Appropriate statistical tests were used to compare clinicolaboratory characteristics, derive predictors of severe disease and mortality, and compute a predictive score for mortality. Serotyping was done. Results. Data of 369 patients were analyzed (mean age, 30.9 years; 67% males). Of these, 198 (54%) patients had dengue fever, 125 (34%) had dengue hemorrhagic fever (grade 1 or 2), and 46 (12%) developed dengue shock syndrome (DSS). Twenty-two (6%) patients died. Late presentation to the hospital (≥5 days after onset) and dyspnea at rest were identified as independent predictors of severe disease. Age ≥24 years, dyspnea at rest and altered sensorium were identified as independent predictors of mortality. A clinical risk score was developed (12*age + 14*sensorium + 10*dyspnea), which, if ≥22, predicted mortality with a high sensitivity (81.8%) and specificity (79.2%). The predominant serotypes in Delhi (2015) were dengue virus DENV2 and DENV4. Conclusion. Age ≥24 years, dyspnea at rest, and altered sensorium were identified as independent predictors of mortality. Platelet counts did not determine outcome in dengue patients. Timely referral/access to healthcare is important. The clinical risk score for mortality prediction that was developed in this study can be used in all healthcare settings, after validation in larger cohorts. [ABSTRACT FROM AUTHOR]

Background. There is lack of reliable predictors of disease severity and mortality in dengue. The present study was carried out to identify these predictors during the 2015 outbreak in India. Methods. This prospective observational study included confirmed adult dengue patients hospitalized between August and November 2015 in a tertiary care centre in New Delhi, India. Appropriate statistical tests were used to compare clinicolaboratory characteristics, derive predictors of severe disease and mortality, and compute a predictive score for mortality. Serotyping was done. Results. Data of 369 patients were analyzed (mean age, 30.9 years; 67% males). Of these, 198 (54%) patients had dengue fever, 125 (34%) had dengue hemorrhagic fever (grade 1 or 2), and 46 (12%) developed dengue shock syndrome (DSS). Twenty-two (6%) patients died. Late presentation to the hospital (≥5 days after onset) and dyspnea at rest were identified as independent predictors of severe disease. Age ≥24 years, dyspnea at rest and altered sensorium were identified as independent predictors of mortality. A clinical risk score was developed (12*age + 14*sensorium + 10*dyspnea), which, if ≥22, predicted mortality with a high sensitivity (81.8%) and specificity (79.2%). The predominant serotypes in Delhi (2015) were dengue virus DENV2 and DENV4. Conclusion. Age ≥24 years, dyspnea at rest, and altered sensorium were identified as independent predictors of mortality. Platelet counts did not determine outcome in dengue patients. Timely referral/access to healthcare is important. The clinical risk score for mortality prediction that was developed in this study can be used in all healthcare settings, after validation in larger cohorts. [ABSTRACT FROM AUTHOR]

Background: Although sepsis is one of the leading causes of mortality in hospitalized patients, information regarding early predictive factors for mortality and morbidity is limited. Materials and Methods: Patients fulfilling the Infectious Disease Society of America criteria of sepsis within the medical intensive care unit (ICU) were included over two years. Apart from baseline hematological, biochemical, and metabolic parameters, Acute Physiology and Chronic Health Evaluation II (APACHE II), Simplified Acute Physiology Score II and III (SAPS II and SAPS III), and Sequential Organ Function Assessment (SOFA) scores were calculated on day 1 of admission. Patients were followed till death or discharge from the ICU. Results: One hundred patients were enrolled over two years (54% males). The overall mortality was 53%, (69.5% in females, 38.8% in males (P < 0.01). Mortality was 65.7%, 55.7%, and 33.3% in patients with septic shock, severe sepsis, and sepsis, respectively. Patients who died were significantly older than the survivors (mean age, 57.37 ± 20.42 years and 44.29 ± 15.53 years respectively, P < 0.01). Nonsurvivors were significantly more anemic and had higher APACHE II, SAPS II, SAPS III, and SOFA scores. The presence of acute respiratory distress syndrome and renal dysfunction were associated with higher mortality (75% and 70.2%, respectively). There was no significant difference in the duration of mechanical ventilation or ICU stay between survivors and nonsurvivors. On multivariate analysis, significant predictors of mortality with odds ratio greater than 2 included the presence of anemia, SAPS II score greater than 35, SAPS III score greater than 47, and SOFA score greater than 6 at day 1 of admission. Conclusion: Several demographic and laboratory parameters as well as composite critical illness scoring systems are reliable early predictors of mortality in sepsis. A sepsis mortality prediction formula (AIIMS Sepsis Score) based on SAPS II, SAPS III, and SOFA scores and hemoglobin has greater predictive power than these scoring methods individually. Routine use of critical illness scoring systems and a composite mortality prediction formula may provide useful early prognostic information in sepsis/severe sepsis. [ABSTRACT FROM AUTHOR]

Background: There have been many studies to estimate the incidence of acute kidney injury (AKI) in critically ill patients. However, results were variable due to the non-usage of uniform criteria and retrospective design of most studies. There are no new studies from the developing countries looking at AKI in these patients since adoption of uniform Acute Kidney Injury Network (AKIN) criteria. Methods: In this prospective observational study from a tertiary care hospital in India, we enrolled 100 consecutively admitted critically ill patients and followed them during hospital stay. AKI was defined by AKIN criteria. Both the groups of patients, those who developed AKI and those who did not develop AKI, were then followed during the course of their hospital stay. Results: AKI occurred in 33 patients with an incidence rate of 17.3 per person year. Thirty-one out of 33 (93.9%) patients died in the AKI group, whereas 31 out of 67 (53.7%) patients died in the non-AKI group. Independent risk factors for AKI were older age (adjusted relative risk (RR) = 4.42, 95% CI = 2.57-5.23), septic shock (adjusted RR = 2.82, 95% CI = 1.43-3.80), prolonged duration of mechanical ventilation (adjusted RR = 2.35, 95% CI = 1.09-3.6), higher acute physiology and chronic health evaluation II (APACHE II) score (adjusted RR = 2.74, 95% CI = 1.28-4.13), and higher sequential organ failure assessment (SOFA) score (adjusted RR = 2.53, 95% CI = 1.04-4.08). Development of AKI was an independent risk factor for mortality (adjusted RR = 1.76, 95% CI = 1.25-1.84). Conclusion: Older patients, those with septic shock, and those requiring prolonged mechanical ventilation had increased risk for AKI. AKI was an independent predictor of mortality. [ABSTRACT FROM AUTHOR]