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Objective: To determine the comparison between haematological parameters and clinical disease severity in patients with COVID-19 infection at a Tertiary Care Hospital in Pakistan. Study Design: Cross-sectional study. Place and Duration of Study: Pathology Department of the Armed Forces Institute of Pathology, Rawalpindi Pakistan, from Mar to Aug 2021. Methodology: A total of 183 patients fulfilling the selection criteria were enrolled after taking written informed consent, and investigations to assess haematological parameters were carried out, such as the complete blood count, PT, APTT, and D-Dimers. The severity of the illness was determined according to the criteria set, and findings were recorded and subjected to statistical analysis. Results: The mean age of the patients was 34.5410.12 years. Using blood tests, there was a strong link between the severity of the COVID-19 infection and the total WBC count (p=0.041), PCV (p=0.05), neutrophil count (p=0.02), lymphocyte count (p=0.001), eosinophil count (p=0.001), and D-Dimers (p=0.001). Conclusion: Total WBC count, neutrophil, lymphocyte, eosinophil, and eosinophil count, as well as D-Dimers, were all strongly linked to how bad the condition was and can be used to predict how bad a COVID-19 infection will be early on.

Objective: To compare NEDOCS with ICMED in predicting clinicians' concerns regarding crowding in the Emergency Department of a tertiary care hospital in Pakistan. Study Design: Prospective comparative study. Place and Duration of Study: Accident & Emergency Department, Pak Emirates Military Hospital, Rawalpindi Pakistan, from Dec 2021 to Jan 2022. Methodology: This study was conducted at the Accident and Emergency Department over 14 different days, 30 data sets of 3-hour intervals each were collected using the NEDOCS and ICMED proforma. NEDOCS Scores and ICMED scores were calculated. In addition, perceptions of the staff regarding crowding and danger to the patient's status were recorded on Visual Analogue scales. Results: The mean recorded NEDOCS score was 577.94±251.57, with 29 'extremely overcrowded' and 1 'overcrowded' data set.The mean ICMED score was 2.86±0.83. Twenty-four (80%) sets did not have crowding, with only six (20%) sets being categorized as 'crowded'. The NEDOCS score had a moderately positive correlation with the crowding perception of the staff (Correlation coefficient (r)=0.593). Conclusion: NEDOCS was a more suitable measure for recording ED crowding in Pakistan, as it recorded the quantitative component of waiting time. ICMED, on the other hand, only recorded waiting time on a binary scale, with the waiting time impact not translated fully on the total score.

Objective: To determine the association of body mass index with the severity of COVID-19 pneumonia in hospitalized patients. Study Design: Cross-sectional study. Place and Duration of Study: Pak Emirates Military Hospital, Rawalpindi Pakistan, form May to Jun 2021. Methodology: Patients diagnosed with COVID-19 pneumonia on PCR and chest imaging and admitted to our hospital were included in the study. Body mass index was calculated on the first day of hospital admission, and they were followed up for two weeks during the disease. Increased oxygen demand, duration of admission, CT severity score and use of non-invasive ventilation were compared in patients with normal and increased body mass index. Results: A total of 800 COVID-19 patients admitted to the hospital were included in the final analysis. The mean age of the study participants was 41.36±4.55 years. Out of 800 patients, 337(42.1%) had normal BMI, 420(52.5%) were classed in the category of overweight and 43(5.4%) were obese. Furthermore, it was seen that increased demand for oxygen, high CT severity score and longer duration of hospital admission had a statistically significant relationship (p-value