Your browser doesn't support javascript.
Show: 20 | 50 | 100
Results 1 - 2 de 2
Add filters

Document Type
Year range
Indian J Crit Care Med ; 25(12): 1395-1401, 2021 Dec.
Article in English | MEDLINE | ID: covidwho-1559934


OBJECTIVES OF THE STUDY: The objectives of the study were to assess the mortality among critically ill coronavirus disease (COVID) patients and to look at the factors which could have a bearing on mortality of these patients presenting to our designated tertiary COVID care institute. METHOD: This was a retrospective observational study involving all adult patients admitted to our intensive care unit (ICU) with coronavirus disease-2019 (COVID-19) infection between June 30, 2020, and August 31, 2020. We compared patient-related factors and laboratory test results among all survivors vs nonsurvivors in our ICU with an aim to predict the factors which could predict increased risks of mortality among sick patients admitted to our ICU. RESULTS AND CONCLUSION: The overall ICU mortality in our ICU during the study period was 76.69% and less than 5% of the patients requiring mechanical ventilation within 1 day of admission, survived. More than half of the deaths (54.66%) occurred within 5 days of ICU admission. The best predictors for mortality based upon the Cox proportional hazard ratio are increasing age, neutrophilia, increased D-dimer, prolonged stay in ICU for 1-2 weeks, and those requiring mechanical ventilation. Patients with one or more comorbidities were noted to have 16% of higher risk of death than those without any comorbidity. HOW TO CITE THIS ARTICLE: Rai DK, Sahay N, Lohani P. Clinical Characteristics and Treatment Outcomes of 293 COVID-19 Patients Admitted to the Intensive Care Unit of a Tertiary Care Hospital of Eastern India. Indian J Crit Care Med 2021;25(12):1395-1401.

Niger Postgrad Med J ; 27(4): 293-301, 2020.
Article in English | MEDLINE | ID: covidwho-914657


OBJECTIVES: The study was designed to explore epidemiological characteristics, determinants of COVID-19 infection development and mortality of patients presenting with severe acute respiratory illness (SARI) to a tertiary care health facility of Bihar. METHODS: This was an observational record-based study, longitudinal in design. Data of 281 SARI patients who have attended All India Institute of Medical Sciences, Patna, Bihar, India during 25th April 2020, till 12th July 2020 (16 weeks) were used for the study. RESULTS: Out of 281 study participants, 95 (33.8%) were detected to have COVID-19 and 42 (14.9%) died. Among COVID-positive study subject's death rate was 28.4%. In the multivariable logistic regression analysis; increasing age (adjusted odds ratio [AOR] = 1.02 [1.00-1.03]), gender (males) (AOR = 2.51 [1.27-4.96]), presenting symptom (cough) (AOR = 2.88 [1.46-5.70]), co-morbidity (hypothyroidism) (AOR = 4.59 [1.45-14.56]) and delay between symptom onset and admission (>2 days) (AOR = 2.46 [1.19-5.07]) were significant predictors of COVID-19 infection among study participants adjusted with other co-morbidities (diabetes and hypertension). Similarly, place of residence (outside Patna district) (AOR = 2.38 [1.03-5.50]), co-morbidity (diabetes) (AOR = 3.08 [1.12-8.50]), intensive care unit (ICU) requirement at admission (yes) (AOR = 9.47 [3.98-22.52]) and COVID status (positive) (AOR = 6.33 [2.68-14.96]) were significant predictors of death among the study participants whereas place of residence (outside Patna district) (AOR = 4.04 [1.33-12.28]) and ICU requirement at admission (yes) (AOR = 7.22 [2.54-20.52]) were attributes affecting death of COVID-positive study participants. CONCLUSION: Risk of COVID-19 infection among the study participants was high. Age, gender and co-morbidities increased the risk of infection. COVID-19 infection negatively impacted the treatment outcome of the study participants. Age, co-morbidity and ICU requirement were the other attributes affecting mortality.

Coronavirus Infections/mortality , Pneumonia, Viral/mortality , Age Factors , Betacoronavirus , COVID-19 , Comorbidity , Critical Care , Female , Hospitalization , Humans , India/epidemiology , Male , Pandemics , Residence Characteristics , SARS-CoV-2 , Sex Factors