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Introduction: Injury is a significant global health burden and can result in mortality if not attended to on time. Trauma system refers to a collection of services provided by various super-specialties. According to the WHO-World Bank Report, RTA will rise from ninth place to the third biggest cause of mortality. Materials and Methods: The study was done at Advanced Trauma Centre (ATC) at PGIMER, a teaching hospital of north India. Study included area from most of the patient come for treatment (rural/urban) and injury patterns seen in these patients, which included mode of injury, type of injury, type of road accidents and location of injury. Results and Observations: In maximum cases, 60.2% (245) of the mode of injury was RTA. It was seen that the maximum number of patients, 44.4%, (115) had motorbike/scooter collisions with vehicles. In most patients, the type of injury seen was 35.9% (147) head, neck and back injuries, and in maximum cases, the location of the accident site was road/street 63.2%. Discussion: In our country, where the trauma delivery system is poorly developed, teaching hospitals have to bear the burden of treating many patients. No concept of emergency medicine or trauma care is in use, even in urban areas. As a result, teaching hospitals’ emergency departments receive many referrals for emergency conditions. [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]