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Objective: Identify the association between stroke severity and the neurological outcome of an acute stroke using the National Institutes of Health stroke scale (NIHSS). Study design: A descriptive cross-sectional study.Place and duration of study: Northwest hospital Hayatabad Peshawar. Methodology: A cross-sectional descriptive study was done in the general plus stroke unit of the northwest hospital in Peshawar, KPK during Jan 2022 to July 2022.400 admitted patients diagnosed with acute stroke in the past three months were included for NIHSS assessment and were classified as mild, moderate, or severe stroke. After entering all of the data from the collection into SPSS version 16, the information was transferred to an Excel spreadsheet. To further assess the results, the researcher and statistician evaluated all of the cases, radiological findings, and laboratory test data. Results: In this cross-sectional descriptive study, 400 individuals ranging from 30 to 90 years of age were divided into two groups: males and females. The survey was conducted by 49% of men and 51% of women. The stroke severity was assessed to be mild in 22% of cases, moderate in 49%, and severe in 29% of patients. As evaluated by the NIHSS, Patients with acute ischemic stroke were divided into four groups depending on their neurological outcomes: those who improved were 160 (40%), those who remained stable were 124 (31%), and those who deteriorated were 52 (13%), and those who died were 64 (16%). Patients with greater triglyceride levels were 88, while those with lower levels were 312. Acute stroke was also detected in 34% of patients with a covid history, 28% of patients who were covid positive, and 38% of patients who were covid free in this investigation. Conclusion: According to our findings, the NIHSS is a reliable scale for evaluating patients' neurological outcomes and determining the association between acute stroke severity and cognitive functioning (NIHSS).
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Introduction: Pregnant females are considered as a high-risk group for the prevention and control of various communicable diseases. Therefore, this research was undertaken to study the clinic-epidemiological profile and biochemical parameters of COVID-19-positive pregnant females in a tertiary care hospital. Methods: This hospital-based retrospective study was done on COVID-19-positive pregnant females admitted during April 2020-March 2021. A total of 139 patients were included in the study. Clinical, epidemiological, hematological, and biochemical profiles were described using frequency, percentages, mean, standard deviation using Microsoft Excel software. Results: The mean age of study participants was 25.36 ± 3.79 years, mean duration of pregnancy was 37.53 ± 3.31 weeks. The majority of the patients were asymptomatic (89.2%). Abdominal pain was the most common symptom (66.7%) among symptomatic. All patients were managed conservatively. Conclusion: The study showed the mild nature of COVID-19 among pregnant females as the majority of them pregnant were asymptomatic and few presented with mild symptoms.
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INTRODUCTION: In the COVID-19 pandemic, physical and psychological health are of immense concern for the governing bodies and health policymakers in the period of lockdown and self-isolation. An in-depth analysis is required to recognize the changes in mental health among the public of different geographical areas. OBJECTIVE: The study aimed to investigate the sleep quality and anxiety among the population in Saudi Arabia during the lockdown period from March to June 2020. MATERIAL AND METHODS: We conducted a cross-sectional study and surveyed the population in Saudi Arabia during the lockdown. We analyzed the anxiety and sleep quality in a population with variable socio-demographic profiles. We assessed anxiety using the self-rating anxiety scale (SAS) questionnaire and tested the sleep quality by using the Pittsburgh sleep quality index (PSQI) questionnaire. We analysed the questionnaire responses to determine the relationships between anxiety, stress, sleep disturbances by using SPSS, and considered the p-value<0.05 statistically significant. RESULTS: We collected 397 questionnaires from the participants. The respondents were mostly of youth age (19-24 years), 66.5% of respondents were male, while there were 33.5% females. Most of the participants did not contact any COVID-19 patients (75.1%, n=298). The finding revealed that most people did not consider associated anxiety as a worrying disorder as the vast majority were normal with only 12.6% had mild-to-moderate anxiety and almost 1% had moderate-to-severe anxiety. While correlating the sleep patterns disturbance in individuals who had contact with COVID-19 patients, there was a significant sleep disturbance. The disturbance of sleep was in having problems falling sleep (p-value=0.024), having bad/horrible dreams (p-value=0.017), feeling cold at sleeping (p-value=0.038), and difficulty staying active during eating or driving (p-value=0.012). There was a significant correlation with anxiety related to the COVID-19 contact and problems affecting the routine work (p-value=0.001). CONCLUSION: There is a significant correlation with anxiety related to the contact with COVID-19 positive patients and problems affecting the routine work among operational professionals. The sleep quality is poor due to the stay-at-home order, having a disorganized working schedule, and deprived lifestyle. The awareness regarding the publics' mental health related to the pandemic needs to be implemented and psychological guidelines ought to be available for the public. Health measures through the promotion of lifestyle modifications, mindful body practices, meditation, and home exercise can reduce stress and improve the quality of sleep.
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Scarce data exist regarding the natural history of lung lesions detected on ultrasound in those who survive severe COVID-19 pneumonia. OBJECTIVE: We performed a prospective analysis of point-of-care ultrasound (POCUS) findings in critically ill COVID-19 patients during and after hospitalization. METHODS: We enrolled 171 COVID-19 intensive care unit patients. POCUS of the lungs was performed with phased array (2-4 MHz), convex (2-6 MHz) and linear (10-15 MHz) transducers, scanning 12 lung areas. Chest computed tomography angiography was performed to exclude suspected pulmonary embolism. Survivors were clinically and sonographically evaluated during a 4 month period for evidence of residual lung injury. Chest computed tomography angiography and echocardiography were used to exclude pulmonary hypertension (PH) and chest high-resolution-computed-tomography to exclude interstitial lung disease (ILD) in symptomatic survivors. RESULTS: Cox regression analysis showed that lymphocytopenia (hazard ratio [HR]: 0.88, 95% confidence intervals [CI]: 0.68-0.96, p = .048), increased lactate (HR: 1.17, 95% CI: 0.94-1.46, p = 0.049), and D-dimers (HR: 1.21, 95% CI: 1.03-1.44, p = .03) were mortality predictors. Non-survivors had increased incidence of pulmonary abnormalities (B-lines, pleural line irregularities, and consolidations) compared to survivors (p < .05). During follow-up, POCUS with clinical and laboratory parameters integrated in the semi-quantitative Riyadh-Residual-Lung-Injury scale had sensitivity of 0.82 (95% CI: 0.76-0.89) and specificity of 0.91 (95% CI: 0.94-0.95) in predicting ILD. The prevalence of PH and ILD (non-specific-interstitial-pneumonia) was 7% and 11.8%, respectively. CONCLUSION: POCUS showed ability to monitor the evolution of severe COVID-19 pneumonia after hospital discharge, supporting its integration in clinical predictive models of residual lung injury.