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Background: Ventilator‑associated pneumonia (VAP) is the commonest healthcare‑associated infection (HAI) in intensive care units (ICU), especially in trauma patients. VAP imposes a significant cost burden on the healthcare ecosystem. However, there are few data from the developing world. Methodology: We conducted this study in the trauma ICU (TICU) of PGIMER, Chandigarh, from October 2021 to December 2022. The incidence, incidence density, and average length of stay (ALOS) of both VAP and non‑VAP patients were established. The health system cost was assessed using a mixed (top‑down and bottom‑up) micro‑costing approach. We collected data for all the resources (direct and indirect costs) utilized during service delivery and estimated the health system cost per bed per day. Results: In this study, 494 patients were admitted to TICU, of which 484 received Mechanical Ventilation (MV) and 47 developed VAP. We included 41 and 44 patients with and without VAP. The VAP incidence rate was 9.7% and the VAP incidence density was 10.79/1000 MV days. The ALOS for VAP patients was 21 days, and for non‑ VAP patients was 8.2 days. Our study estimated a total health system cost of INR 25,927 per bed per day. The health system cost of treating a VAP patient was INR 544,467 compared to INR 207,416 for a non‑VAP patient. Conclusion: Treatment of VAP poses substantial costs for the health system and patients. There is a need to focus on preventing VAP, which would eventually reduce the length of stay and the resultant financial impact on the health system and the patient. [ABSTRACT FROM AUTHOR]

Context: Data collection and statistical analysis are integral components of research. The beauty of statistics lies in its ability to evaluate evidence in the face of uncertainty. However, lack of dedicated biostatistical consultation units, rote academic teaching and training lead to poor statistical analysis. Thus, we aim to explore and understand the challenges of establishing a Biostatistics Clinic (BC) in a tertiary care research institute. A secondary aim is to identify the stage of research at which participants approach biostatisticians. Material and Methods: The data for the current study came from a consultancy unit named as "Biostatistics Clinic" in the department of biostatistics from Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, India. The residents and students who approached the department of biostatistics for consultancy regarding study design, sample size, statistical analysis and other analytical work were the sampling units. Results: A total of 208 residents and students made 404 visits to biostatistics clinic. The male and female visits were 118 (56.7%) and 90 (43.5%), respectively. Majority of visitors approached for data analysis (171; 75%) followed by study design and sample size calculation for protocol preparation (43; 18.9%). Leading reference to approach the biostatistics clinic was through a faculty (91; 43.8%) followed by self (54; 26%). Conclusion: Despite the thrust and apparent advantages of contacting statistician at the beginning of the study, majority approached only at the data analysis stage. Therefore, repeated and improved efforts are required to spread the message of approaching statistician early. [ABSTRACT FROM AUTHOR]

Background & objectives: The COVID-19 pandemic emerged as a major public health emergency affecting the healthcare services all over the world. It is essential to analyze the epidemiological and clinical characteristics of patients with COVID-19 in different parts of our country. This study highlights clinical experience in managing patients with COVID-19 at a tertiary care centre in northern India. Methods: Clinical characteristics and outcomes of consecutive adults patients admitted to a tertiary care hospital at Chandigarh, India, from April 1 to May 25, 2020 were studied. The diagnosis of SARS-CoV-2 infection was confirmed by real-time reverse transcriptase polymerase chain reaction (RT-PCR) on throat and/or nasopharyngeal swabs. All patients were managed according to the institute's consensus protocol and in accordance with Indian Council of Medical Research guidelines. Results: During the study period, 114 patients with SARS-CoV-2 infection were admitted. The history of contact with COVID-19-affected individuals was available in 75 (65.8%) patients. The median age of the patients was 33.5 yr (13-79 yr), and there were 66 (58%) males. Of the total enrolled patients, 48 (42%) were symptomatic. The common presenting complaints were fever (37, 77%), cough (26, 54%) and shortness of breath (10, 20.8%). Nineteen (17%) patients had hypoxia (SpO2<94%) at presentation and 36 (31%) had tachypnoea (RR >24). Thirty four (29.8%) patients had an accompanying comorbid illness. Age more than 60 yr and presence of diabetes and hypertension were significantly associated with severe COVID-19 disease. Admission to the intensive care unit (ICU) was needed in 18 patients (52%), with three (2.6%) patients requiring assisted ventilation. Mortality of 2.6 per cent (3 patients) was observed. Interpretation & conclusions: Majority of the patients with COVID-19 infection presenting to our hospital were young and asymptomatic. Fever was noted only in three-fourth of the patients and respiratory symptoms in half of them. Patients with comorbidities were more vulnerable to complications. Triaged classification of patients and protocol-based treatment resulted in good outcomes and low case fatality. [ABSTRACT FROM AUTHOR]