To determine the mortality of patients with severe COVID-19 in the intensive care unit (ICU) in relation to age, gender, co-morbidities, ventilatory status, and length of stay (LOS). Methods This was a cross-sectional study based on data retrieved for 204 patients admitted to the ICU of Hayatabad Medical Complex, Peshawar, Pakistan, from April to August 2020. Study variables were age, gender, comorbid conditions, ventilatory status, and length of stay (LOS). The data were analyzed using SPSS version 21 (IBM Corp., Armonk, NY). The independent t-test and the chi-square test were used to compare the means and frequencies of variables. Multivariate regression analysis was used to predict the likelihood of mortality. Results The overall mortality was 77%. Non-invasive ventilation (NIV) was administered to 61.8% of patients. Mortality was higher for invasive mechanical ventilation (IMV) (93.6% vs 66.7%, p<0.001) and for over 60 years (87.3% vs 72.3%, p=0.019). Mortality without co-morbidities was 75.2%. Comparative mortality rates for at least one co-morbidity (79.7%), diabetes mellitus (80.0%), hypertension (100%), diabetes mellitus and hypertension both (87.1%), and chronic obstructive pulmonary disease (75%) were insignificant. The LOS for survivors was longer (8.9±8.9 versus 5.4±5.2 days, p=0.017). The LOS < 24h was associated with higher mortality (85.9% vs 72.9%, p=0.040). On multivariable regression, the likelihood of mortality was high for IMV (7.330, 95% CI 2.667-20.143, p<0.001) and elderly (>60 years) patients (2.607, 95%CI 1.063-6.394, p=0.036). Mortality decreased with LOS longer than 24h (0.412, 95%CI 0.173-0.982, p=0.045). Comorbidities did not have any effect on mortality. Conclusions Age more than 60 years and IMV were independent risk factors for higher mortality. Longer ICU stay, specifically more than 24 hours, was associated with lower mortality but LOS less than 24 hours might not have a causal relationship with mortality. The odds of survival were not affected by co-morbidities.

BackgroundAvailable research compared serum biomarkers such as lymphocyte count, C-reactive protein, ferritin, Lactate Dehydrogenase and D-dimers to predict survival in patients with mild, moderate and severe COVID-19. This study aims to compare these biomarkers among survivors and non-survivors of severe COVID-19. MethodsThis was a cross-sectional study based on patient’s data retrieved from Hospital Information System. Sixty-nine patients for whom a record of the biomarkers and survival status was available, were included in the study. For every patient, baseline and peak values were selected for CRP level, serum ferritin level, serum LDH level and serum D-Dimer level. Similarly, baseline and trough levels were selected for lymphocytes. Data were analyzed using SPSS version 21. Mean and standard deviation was used to compare the biomarkers with paired t-test. P value less than 0.05 was taken as significant. ResultsThe mean age of the study population was 55.5±9.1 years and 72.5% were male. Among survivors, the increase in CRP level was not significant (from 15.80±9.8 mg/dl to 17.87 ±8.4 mg/dl, p=0.45) while among the non-survivor, the increase in CRP level was significant (from 16.68± 10.90 mg/dl to 20.77±12.69 mg/dl, p=0.04). There was no significant rise in serum LDH levels in survivors (from 829.59±499 U/L to 1018.6±468 U/L, p=0.20) while there was a statistically significant increase in serum LDH level in non-survivors (from 816.2±443.08 U/L to 1056.61±480.54 U/L, p=0.003). Lymphocyte count decreased significantly in both survivors (p=0.001) and non-survivors (p=0.001). There was no statistically significant elevation in serum ferritin among the survivors and non-survivors (p > 0.05). The D-Dimer level increased significantly in both survivors (p=0.01) and non-survivors (p=0.001).Conclusions In severe COVID-19 patients, serum CRP and LDH can be used for risk stratification and predicting survival. Lymphopenia, increase in serum ferritin and D-dimers may not predict survival.Trial Registration Not applicable

Objective: Diabetic foot ulcers and anemia are two typical complications of diabetes. For this reason, we set out to gather data on the prevalence of anemia in persons with and without diabetic foot ulcers (DFUs) of similar ages and sex. Method: The Department of Medicine HMC hospital Peshawar conducted this multi-center study from October 2020 to October 2021 in their interdisciplinary diabetic foot clinic. Those who took part in the study were split into two groups: those with DFUs (the Case group) and those without (the Control group) (people without DFUs). Biochemical and hematological markers, as well as demographic data, were collected from the outset. DFU in the case group was categorized and staged using the UT system. Anemic subjects with other obvious explanations were not included. Controls were recruited from a diabetes clinic that offered presentations during the same time frame. SPSS version 24 was used for the statistical analysis of the data. Results: A total of  80 people were studied, split evenly between the case and control groups regarding age and gender. Men made up the majority of the 60 participants (74%).

Objective: To investigate the genotypic frequencies of the K and K blood group system antigens in Northern Pakistan's healthy blood donors. Material and Method: this Multi center study conducted in department of medicine Hmc Hospital Peshawar From February 2021 to February 2022, The study comprised 59 blood donors in total. The traditional PCR method was used for genotyping, and the amplified products were then run over polyacrylamide gel electrophoresis. Version 26 of SPSS was utilised for the analysis. Results: In this study, 59 blood donors with a mean age of 31.47.07 years were totaled. Male to female ratio was 29.22 to 1. KEL*2/KEL*2 was the most prevalent genotype, found in 53 (91%) donors, followed by KEL*1/KEL*2 in 3 (06%) and KEL*1/KEL*1 in 03 (03%) donors. Conclusion: Identify the antigens in our nation and contrast the findings with those of other populations. The results of this research may be utilised to create a database of genotypic frequencies. Keywords: genotyping, Kell blood group, polymerase chain reaction, and blood donors (PCR).

Introduction: Persistent hyperglycemia and anomalies in the metabolism of proteins, lipids, and carbohydrates are hallmarks of diabetes mellitus, which is brought on by insufficient insulin synthesis or action. Other associated systemic problems, such dyslipidemia and hypertension, may result from this. Dyslipidemia increases cardiovascular events such persistent high blood pressure by raising serum triglycerides, free fatty acids, and HDL cholesterol and lowering it. This research examined hyperlipidemia. Type 2 diabetics, regardless of hypertension. Objective: to compare T2DM with and without hypertension, the present study evaluated the blood lipid profiles of both groups. Layout of the study An experimental research approach is used, along with a comparative study methodology. Methodology: the multi-center study conducted in department of medicine HMC hospital Peshawar OPDs and Out Door Patients hosted the research. From January 2021 to January 2022, performed lab tests. The Multi center study achieved our aim. The study comprised 100 type 2 diabetics divided into cases and controls. Cases had type 02 diabetes and hypertension, but controls did not. Both groups estimated cholesterol, triglycerides, LDL, and HDL levels. The statistical analysis uses SPSS version 28. Mean values and an independent student T-test were used to compare groups.