Predictors of Outcome in Acute Respiratory Distress Syndrome in Acute Febrile Illness in Medical Intensive Care Unit

Aims: Acute Respiratory Distress Syndrome (ARDS) is a known complication of acute febrile illness (AFI). The in-hospital mortality rate of ARDS is between 35-44%. Our study aimed to identify the different parameters that could be used to detect patients at higher risk of poor outcome in AFI complicated by ARDS. Methods: 130 patients with AFI complicated by ARDS as per Berlin definition, admitted at the Medical Intensive Care Unit of Seth GS Medical College & KEM Hospital Mumbai, were studied over a period of 18 months. Investigations done during the course of MICU stay were noted. From the reports, SOFA score, delta SOFA score, Lung Injury Score (LIS), Disseminated Intravascular Coagulation (DIC) score (by ISTH scoring system) were also calculated. Main outcome was recorded as transfer out from the MICU or death. Results: Etiology of the 130 patients of AFI with ARDS was as follows-dengue 32 patients (24.6%), H1N1 -31(23.8%), undifferentiated fever -30 (23.1%), leptospirosis-22 (16.9%), malaria-15 (11.5%). Our study had a mortality rate of 25.4 %( n=33). 40.8% of the study population required invasive ventilation at admission. SOFA score at admission and 48 hours, delta SOFA score, PaO2/ FiO2 ratio at admission and 48 hours, Blood Urea Nitrogen (BUN), creatinine, bicarbonate and albumin were the significant predictors of overall outcome. Hemoglobin, platelets and leukocyte counts, pH, pO 2 , pCO 2 at admission and 48 hours, Lung Injury Score (LIS) and DIC score were not significant predictors of outcome. Conclusion: SOFA score at admission and 48 hours, delta SOFA score and PaO 2 / FiO 2 ratio were significant predictors of outcome in patients of acute febrile illness with ARDS. LIS and DIC score were not significant predictors of outcome.

Study of Clinical Spectrum of Severe COVID-19 Infection in Elderly Patients and its Outcome-A Major Mumbai Tertiary Care Hospital Observations

Background: At 140 million, India has the second largest population of old people in the world, as per the 2011 census. 1 The covid 19 pandemic has wreaked havoc in millions of lives. Elderly are especially vulnerable to COVID-19 and experience high morbidity and mortality as a result of immunosenescence. Age is independently linked with mortality, but age alone does not adequately capture the robustness of older adults who are a heterogeneous group. The current research was done in a tertiary healthcare hospital in Maharashtra to understand the clinical profile and factors that affected the outcome of elderly during the second wave of the COVID pandemic. Method: This was a single centre retrospective observational study done in a tertiary hospital which was admitting both covid and non-covid patients during the time of this study. All elderly patients admitted with COVID 19 disease in Covid ward and covid ICU (Intensive care unit) were included in the study. Their Demographic details, duration of illness, vital parameters, oxygen saturation, partial pressure of arterial oxygen compared to fraction of inspired oxygen (PaO2-FiO2 ratio) were recorded and also relevant investigations such as complete blood count, kidney function tests, liver function tests, arterial blood gases, chest X-rayand ECG (Electrocardiogram),CT scan of the brain, CSF(cerebrospinal fluid) studies and other tests where relevant were recorded. Inflammatory markers such as C-Reactive Protein (CRP), Ferritin, D-Dimer and Chest CT scan were noted. Clinical profiles and outcomes were noted till discharge or death. Results: Among 231 patients that were included in this study, 81(35%) were female and 150 (65%) were male. Ninety-two patients died (39.8%) while 139 patients (60.2%) survived in our study. Majority of our patients (211;91.3%) presented in category E(pneumonia with respiratory failure) or category F(pneumonia with respiratory failure and multiorgan dysfunction syndrome). Factors which had a major impact on mortality were- a low PaO2-FiO2 ratio on admission, high C-Reactive Protein (CRP) levels, high d-dimer levels, a finding of bilateral ground glass opacities on x-ray, and need for invasive ventilation on admission. Conclusions: Elderly remain vulnerable to severe consequences of COVID-19 infection owing to the increasing comorbidities and immunosenescence in them. Prolonged oxygen therapy and intensive respiratory rehabilitation are the mainstays of effective management. Given the constant threat of mutating virus, masking, maintaining hand sanitization, vaccination and also caring for our elders while still maintaining social distance are our best bet against a fatal third wave.

Study of resistance pattern of isolated micro-organisms towards commonly used anti-microbial agents in medical intensive care unit of a tertiary care teaching hospital

Background: The objective of the study was to find out different types of biological samples from admitted patients tested for culture and sensitivity (C&S), prevalence of different types of organisms isolated from those samples, and to analyze the resistance pattern of those isolated organisms against commonly used or tested anti-microbial agents (AMAs).Methods: Following institutional ethics committee approval and written informed consent, adult patients of both genders, receiving AMAs were enrolled from June 2014 to July 2015 and followed up daily till they were in medical intensive care unit (MICU). Demographic data, diagnosis, culture-sensitivity (antibiogram) and other investigation reports and treatment details were recorded. Descriptive statistical analysis of collected data was done.Results: Of the 514 samples (from 600 patients enrolled) sent for C&S testing, 143 were reported as sterile while from the rest 371 samples, 504 organisms were isolated; commonly isolated organisms were Pseudomonas aeruginosa (30%), Acinetobacter baumannii (23%), Klebsiella pneumoniae (16%), Providencia sp. (7.1%), Escherichia coli (5.7%), and Enterobacter sp. (4.2%). Samples were sent in 63% of enrolled patients, the commonest being broncho-alveolar lavage (48% of total). Microbial resistance was high for cephalosporins (ceftriaxone, cefepime, ceftazidime), carbapenems (meropenem, imipenem), penicillins (piperacillin), quinolones (ciprofloxacin, levofloxacin), aminoglycosides (gentamicin, netilmicin, amikacin) and cotrimoxazole. Most organisms were sensitive to colistin (100%), polymyxin B (92%) and tigecycline (69%).Conclusions: The information regarding commonly isolated organisms and their resistant pattern would aid in rational selection of AMAs and thus the present study is useful to clinicians managing MICU and the hospital infection committee to plan future policies regarding AMA use in MICU.