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Objective: To analyze and compare the effects of different clinical characteristics on the negative conversion time of nucleic acid detection after severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Omicron variant infection, and to provide a scientific basis for the isolation and treatment of coronavirus disease 2019 (COVID-19). Methods: The epidemiological and clinical data of 228 mild SARS-CoV-2 Omicron variant infected patients diagnosed in Shanghai were retrospectively collected from April 27, 2022 to June 8, 2022 in Wujiaochang designated Hospital, Yangpu District, Shanghai. The negative conversion time of nucleic acid detection was used as the outcome variable, and the patients were divided into A (18 days) and B (>18 days). Univariate and multivariate logistic regression analysis were used to analyze the influencing factors of the negative conversion time of nucleic acid detection. Results: The mean nucleic acid conversion time of 228 patients was (18.7+or-12.1) d, with the median time of 18 (2-46) d. Among them, 120 patients in group A had an average nucleic acid conversion time of (13.2+or-2.0) d, and 108 cases in group B had an average nucleic acid conversion time of (20.8+or-1.3) d. Univariate analysis showed that there were no statistically significant differences in the effects of hypertension, coronary heart disease, diabetes, hypokalemia, malignant tumors, neuropsychiatric diseases, chronic digestive diseases on the negative nucleic acid conversion time (P > 0.05);however, there were significant differences in the effects of combined cerebrovascular disease, leukopenia, chronic respiratory system diseases and vaccination on the negative nucleic acid conversion time (P < 0.05). Further multivariate logistic regression analysis revealed that the combination of chronic respiratory diseases and non-vaccination were significant risk factors for prolongation of negative nucleic acid conversion time (P < 0.05). Conclusions: The results of this study show that gender, age and whether hypertension, coronary heart disease, diabetes mellitus, hypokalemia, malignant tumor, neuropsychiatric disease and chronic digestive disease have no significant effect on the nucleic acid conversion time, whereas chronic respiratory disease and no vaccination are significantly correlated with the prolongation of nucleic acid conversion time in SARS-CoV-2 Omicron-infected patients.
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Introduction : Understanding the epidemiological and clinical profile of COVID-19 cases and pattern of disease is very much required for future preparedness. Objective : To assess the epidemiological and clinical profile of cases of COVID 19 Method : Cross sectional descriptive study was carried out at a Rural Health Training Centre (RHTC). All cases reported in the month of January 2022were included in the study. The information about the epidemiological and clinical profile was collected from RHTC records by conducting telephonic interview. Results : Total 83 cases were reported. Among them, 43 (54.4%) cases were in age group 20-39 years. Male: Female ratiowas 1.37:1. Therewas one death and patient had ovarian cancer as co-morbidity. Total 71 patients could be contacted for telephonic interview. Fever was most common symptom andwas presenting symptom on first day followed by cough/cold and sore throat. None had shortness of breath or chest pain. Hospitalization rate was 5.63% and none required oxygen supplementation or intensive care. Recovery period was 3-5 days. Out of total, 90% cases were fully vaccinated and 95.8% had knowledge of CAB. Diabetes and hypertension were most common comorbidities andwere statistically significantlymore in age > 40 years. Conclusions : The COVID-19 cases in the beginning of year 2022 had clinical presentation different than the earlier waves. Periodic situational analysis can guide in policymaking for handling this pandemic in future.
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Objective: Covid-19 is a highly infectious viral disease, and our understanding of the impact of this virus on the nervous system is limited. Therefore, we aimed to do a systematic analysis of the neurological manifestations. Methods: We retrospectively studied the clinical, laboratory, and radiological findings of patients with major neurological syndromes (MNS) in Covid-19 over 6 months. Results: We had 39 patients with major neurological syndromes (MNS). The most common MNS was cerebrovascular disease (CVD) (61.53%), in which ischemic stroke (83.33%), cortical sinus thrombosis (12.50%), and haemorrhagic stroke (4.16%) were seen. Among ischemic stroke patients, 50% had a large vessel occlusion, and 66.66% of patients with CVD had a significant residual disability. Cranial neuropathy (15.38%), GBS (10.26%), encephalitis (7.26%), and myelitis (5.12%) were the other MNS. Among the three encephalitis cases, two had CSF-Covid-19 PCR positivity and had severe manifestations and a poor outcome. Associated comorbidities included hypertension (30.76%), diabetes mellitus (12.82%), chronic kidney diseases (7.69%), and polycythaemia vera (2.56%). Lung involvement was seen in 64.1% of patients. Mortality was 17.94% in MNS with Covid-19. Conclusions: The most common major neurological syndrome associated with Covid-19 is CVD with increased frequency of large vessel occlusion causing significant morbidity and mortality. Simultaneous lung and other systemic involvement in MNS results in a deleterious outcome.
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Hospitals were overburdened during peak periods of Coronavirus disease 2019 (COVID-19) pandemic, and bed occupancy was full. The ability to predict and plan patients' hospital length of stay allows predictability in terms of the free capacity of hospital facilities. The purpose of this article is to evaluate the factors that influence the hospital length of stay among discharged (recovered) from COVID-19 patients. This will allow the prediction of the likely number of bed days in the conditions of intensive workload of medical facilities for hospital care. A total of 441 discharged after hospital treatment for COVID-19 patients are followed up. Factors for prolonged hospital length of stay are searched among the indicators recorded at admission. Median hospital length of stay of the patients discharged from COVID-19 ward is 9 days (IQR 6-12) and in the COVID-19 intensive care unit 12 days (IQR 9.75-18.75). The median length of stay assessed by a survival analysis is 35 days in the COVID-19 unit and only 8 days in intensive care, due to the high mortality in the intensive care unit. The longer hospital length of stay of patients discharged from the COVID-19 wards is associated with the presence of hypertension (median 10 vs. 8 days for patients without the disease, p=0.006), ischemic heart disease (10 vs. 8 days, p<0.001), cerebrovascular disease (10 vs. 8 days, p=0.061 - did not reach significance), peripheral arterial disease (12 vs. 8 days, p=0.024), chronic renal failure or chroniodialysis (14 vs. 8 days, p<0.001), oncological illness (11 vs. 8 days, p=0.024), presence of at least one comorbidity (9 vs. 8 days, p=0.006), arrival at the hospital by ambulance vs. the patient's own transport (11 vs. 8 days, p=0.003), severe lung involvement shown on X-ray (10 vs. 8 days, p=0.030) or CT (18 vs. 10 days, p=0.045). Prolonged hospital length of stay is associated with older age (Spearman's rho=0.185, p<0.001), greater number of comorbidities (Spearman's rho=0.200, p<0.001), lower oxygen saturation on admission (Spearman's rho=- 0.294, p<0.001) and lower lymphocytes count (Spearman's rho=-0.209, p<0.001), as well as higher CRP (Spearman's rho=0.168, p<0.001), LDH (Spearman's rho=0.140, p=0.004), ferritin (Spearman's rho=0.143, p=0.004) and d-dimer (Spearman's rho=0.207, p<0.001). The multiple linear regression model found that the increase in the number of bed days of discharged from COVID-19 unit patients depends on the way the patient arrived at the Emergency Department (by ambulance instead of on their own transportation) and the presence of an accompanying oncological disease (R2=0.628, p<0.001). The hospital length of stay of patients discharged from COVID-19 intensive care unit is associated with the presence of hypertension (median 14 vs. 9 days for patients without the disease, p=0.067 - significance not reached) and at least one comorbidity (14 vs. 9 days, p=0.067 - significance not reached). The number of bed days is higher when recorded more comorbidities (Spearman's rho=0.818, p=0.004), lower oxygen saturation (Spearman's rho=-0.605, p=0.067 - significance not reached) and higher leukocytes count (Spearman's rho=0.546, p=0.102 - significance not reached). A multiple linear regression model demonstrated the hospital length of stay of patients in the COVID-19 intensive care unit as an outcome of the number of comorbidities only (R2=0.826, p=0.003). The ability to estimate and forecast quickly the number of bed-days based on a small number of variables would help reduce the burden on the healthcare system during a pandemic.
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Introduction:Non-invasive mechanical ventilation is a ventilatory alternative for COVID-19 cases. Background:To describe the characteristics and evolution of non-invasive mechanical ventilation (NIMV) in patients discharged from Provisional Center for moderate COVID-19 patients in Figali, Panama. Methods:A descriptive, retrospective, longitudinal stu was carried out in all adult patients discharged from June to July 2021 and who received non-invasive mechanical ventilation. A questionnaire was used using the digital individual medical record as primary source. Descriptive statistics techniques were used. Results:35.9% of the patients (78/217) who were admitted required non-invasive mechanical ventilation on the ninth day of symptoms and the second day after admission. 62.8% (49/78) were obese and 29.5% (23/78) hypertensive. The respiratory rate 30 and the decrease in the PaO2/FiO2 ratio decided the begining of non-invasive mechanical ventilation in 56.4% (78/217) of those admitted. 62.8% (49/78) had moderate-severe acute respiratory distress syndrome, and the severity was related to ventilation failure out of the total number of ventilated patients. Ventilation was successful in 65.4% (51/78). PaO2/FiO2 <150 (62.9%), respiratory rate 30 (55.6%) and physical exhaustion (51.85%) decided ventilation failure. Conclusions:Non-invasive mechanical ventilation is an effective procedure in COVID-19 patients and moderate or severe respiratory distress;although its success is related to the less severe forms. Low PaO2/FiO2, together with symptoms, were key indicators to assess the begining, success or failure of NIMV;not so the values of PaO2, PaCO2 and SpO2.
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Non-invasive ventilation (NIV) might be successful if carefully selected in adult patients with cardiac dysfunction presenting with community-acquired pneumonia. The main objective of this study was to identify the early predictors of NIV failure. Adult patients with left ventricle ejection fraction (LV EF) <50% admitted to the intensive care unit (ICU) with community-acquired pneumonia and acute respiratory failure were enrolled in this multicenter prospective study after obtaining informed consents (study registrationID: ISRCTN14641518). Non-invasive ventilation failure was defined as the requirement of intubation after initiation of NIV. All patients were assessed using the Acute Physiology and Chronic Health Evaluation II (APACHE II) and sequential organ failure assessment (SOFA) scores at admission, while their Heart rate Acidosis Consciousness Oxygenation and Respiratory rate (HACOR) and lung ultrasound (LUS) scores in addition to blood lactate were assessed at NIV initiation and 12 and 24 hours later. A total of 177 patients were prospectively enrolled from February 2019 to July 2020. Of them, 53 (29.9%) had failed NIV. The mean age of the study cohort was 64.1+or- 12.6 years, with a male predominance (73.4%) and a mean LV EF of 36.4 +or- 7.8%. Almost 55.9% of the studied patients had diabetes mellitus, 45.8% had chronic systemic hypertension, 73.4% had ischemic heart disease, 20.3% had chronic kidney disease, and 9.6% had liver cirrhosis. No significant differences were observed between the NIV success and NIV failure groups regarding underlying morbidities or inflammatory markers. Patients who failed NIV were significantly older and had higher mean SOFA and APACHE II scores than those with successful NIV. We also found that NIV failure was associated with longer ICU stay (p < 0.001), higher SOFA scores at 48 hours (p < 0.001) and higher mortality (p < 0.001) compared with the NIV success group. In addition, SOFA (Odds Ratio (OR): 4.52, 95% Confidence Interval (CI): 2.59-7.88, p < 0.001), HACOR (OR: 2.01, 95% CI: 0.97-4.18, p = 0.036) and LUS (OR: 1.33, 95% CI: 1.014-1.106, p = 0.027) scores and blood lactate levels (OR: 9.35, 95% CI: 5.32-43.26, p < 0.001) were independent factors for NIV failure. High initial HACOR and SOFA scores, persistent hyperlactatemia and non-decrementing LUS score were associated with early NIV failure in patients with cardiac dysfunction presenting with community-acquired pneumonia, and could be used as clinical and paraclinical variables for early decision making regarding invasive ventilation.
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This special issue contains 13 articles that discuss public health articles such as public perception, knowledge and factors influencing COVID-19 vaccine acceptability, determinants of enrolment in health insurance scheme among HIV patients, hypertension and associated factors among patients attending HIV clinic, determinants of visit-to-visit systolic blood pressure variability among Ghanaians with hypertension and diabetes mellitus, short-term outcomes among patients with subclinical hypothyroidism, association of erectile dysfunction with coronary artery disease, psychological correlates of COVID safety protocol adherence, ophthalmic services utilisation and associated factors, safe duration of silicon catheter replacement in urological patients, and leadership in health and medical education.
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Objective: To analyze the epidemic characteristics of coronavirus disease 2019 (COVID-19) cases aged 60 years or older during the outbreak epidemic of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Omicron variant in Sanya City, Hainan Province, August-September 2022, and to provide scientific and effective basis for formulating strategies for the prevention and treatment of COVID-19 in the elderly in the future. Methods: The data of 1 785 COVID-19 cases aged 60 years reported from August 1 to September 8, 2022 in Sanya City, and 537 local COVID-19 inpatients aged 60 years treated in Sanya Central Hospital were collected and analyzed using WPS Office 2018 software for data cleaning, database assistance, and drawing, and SPSS 22.0 software was used to statistically describe and analyze the counting data. Results: A total of 1 785 local COVID-19 cases aged 60 years were reported in China's Disease Prevention and Control Information System, including 1 509 confirmed cases (84.54%) and 276 asymptomatic cases (15.46%). Of the confirmed cases, 1 448 were mild cases (95.96%), 40 were common cases (2.65%), 10 were severe cases (0.66%), and 11 were critical cases (0.73%), and no deaths were reported. The ratio of male to female was 0.88:1. The youngest was 60 years old, the oldest age was 107 years old, with a median age of 67 years old. Most of them (1 559 cases, 87.34%) were non-social employed personnel. Among them, 952 (53.33%) were from Tianya District and 733 (41.06%) from Jiyang District. Among the 537 COVID-19 elderly infected patients hospitalized in Sanya Central Hospital, infected patients with underlying diseases accounted for 287 (53.45%) cases of hypertension, diabetes and other types of basic diseases (chronic kidney disease, hyperlipidemia, chronic gastritis, gastric ulcer, etc.), and there were serious infections. Conclusions: Most of the elderly infected with Omicron variants were mild cases with few symptoms, but the elderly infected with Omicron variants were difficult to recover or even worsen the condition due to old age and underlying diseases. Therefore, by analyzing the various aspects of elderly infected cases, scientific and effective basis can be provided to prevent and control the epidemic situation in the future, and reduce the occurrence of severe, critical and death cases of COVID-19 in the elderly.
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Background: COVID-19 patients may experience lon-lasting symptoms from weeks to even months. Aim: To evaluate long-term cognitive impairment based on the severity of symptoms of COVID-19 infection in a primary health system setting. Material and methods: From a database of 363 patients, 83 cases aged 47 +or- 15 years, (58% females) were selected from June to August 2020. In patients who survived the virus, 24 infection-related symptoms were collected to create three severity clusters (mild, moderate, and severe). The follow-up time was at least seven months. Comparing the first two clusters with the severe cluster, the existence of brain fog and risk factors (obesity, hypertension, diabetes, chronic lung disease, and hypothyroidism) were analyzed. Results: Thirty-one patients (37%) had persistent symptoms lasting up to 240 days. Fifty-one patients (61%) experienced brain fog. Concentration was affected by symptom severity (odds ratio [OR] 3.63, 95% confidence interval [CI] 1.26-10.46, p = 0.02). Short- or long-term memory loss was not affected. Moreover, symptom severity was related to brain fog (OR 3.16, 95% CI 1.05-9.51, p = 0.04). Patients with persistent symptoms had a concentration impairment associated with severity patterns (OR 24.3, 95% CI 1.73-340.11, p = 0.03). Conclusions: Brain fog is associated with symptom severity in COVID-19 survivors and lasts for more than eight months.
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Background: Coronavirus disease 2019, first reported in December 2019 mainly presented with the symptoms of Cough, Fever, Shortness of breath, Myalgia, Weakness and anosmia. C-reactive Protein (CRP) is an acute-phase reactant protein which is synthesized by the liver in response to raised levels of interleukin-6 (IL-6) which is a biomarker of inflammation. Methods: This was a prospective observational study, done on 110 COVID-19 patients after applying inclusion and exclusion criteria. Detailed history, vaccination status, presence of comorbidities and thorough clinical examination was performed. Serum CRP levels was assessed and Computed Tomographic scan (CT scan) of Thorax was done. CORADS scoring and CT severity grading as per CT scan was done. All the above parameters were recorded in the preformed proforma and data was entered in excel spreadsheet and was analysed using SPSS v26 software. Results: Majority were males (56.3%) and majority were from 61-80 years of age. Majority (57.3%) patients were non-smokers. Hypertension was the most common associated comorbidity (86.4%) (r=0.743, p=0.000). There is a strong positive correlation between CRP levels and CTSS in COVID 19 patients and a strong negative correlation between the CRP levels and outcome of COVID-19 patients (r=-0.449, p=0.000). Conclusion: Elevated serum CRP value is associated with disease progression and poorer outcome.
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BACKGROUND: Pneumomediastinum is defined as open-air in the mediastinum. Spontaneous pneumomediastinum (SPM) occurs when air leaks into the surrounding vascular sheath through small alveolar ruptures. CASE REPORT: We want to introduce 4 different cases with different outcomes. The first case was a 60-year-old man with a history of psychological disorders, the second case was a 41-year-old man with a history of hypertension (HTN) and asthma, the third case was a 50-year-old heavy smoker with no history of an underlying disease, and the fourth case was a 60-year-old man with a history of schizophrenia. They suddenly developed an exacerbation of cough, dyspnea, chest pain, and a severe decrease in oxygen saturation during hospitalization. Antibiotic therapy, corticosteroids, and high-dose oxygen therapy were administered to the patients. One of these patients died. CONCLUSION: All patients can potentially be at risk for this complication and have a good prognosis if diagnosed early and treated properly overall.
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Background: Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV2) is the virus causing Coronavirus Disease 2019 (COVID-19). Apart from respiratory disease, this virus can affect different organs. Objectives: Therefore, multiple mechanisms have been hypothesized for Acute Kidney Injury (AKI) in COVID-19. In this study, we evaluate the incidence and prognosis of AKI in COVID-19 patients. Methods: This retrospective cohort study assessed 397 COVID-19 patients hospitalized between April 1, 2020, and September 30, 2021. Patients with a sudden rise of serum creatinine level, more than 0.3 mg/dl in two days or more than 50% of the initial level in one week, were diagnosed with AKI. Demographic, laboratory, and clinical features were compared in AKI patients with patients without AKI. Results: A total of 397 patients with a mean age +or- standard deviation of 55.42 +or- 15.26 years were included in the study. According to diagnostic criteria, 48 (12.1%) patients developed AKI. Old age, a history of hypertension, and chronic renal failure were suggested as risk factors for AKI. High levels of C-Reactive Protein, Erythrocyte Sedimentation Rate, Lactate Dehydrogenase, D-dimer, and serum phosphorus upon arrival were also associated with an increased risk of AKI. In addition, the incidence of hypernatremia and hyperkalemia increased mortality in patients with AKI. Conclusion: The incidence of AKI in admitted COVID-19 patients affects the duration of hospitalization, the chance of ICU admission, and mortality. It is important to limit the use of nephrotoxic drugs and to maintain water-electrolyte balance to prevent the incidence of AKI and improve the outcome.
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Introduction: According to scientific studies, a high incidence of thrombotic events is known in hospitalized patients with COVID-19. Less than 50% of pulmonary embolisms (PE) are associated with signs of deep vein thrombosis (DVT) of the lower extremities. Background: To identify significant risk factors for thrombosis thrombosis (DVT) in intensive care patients with COVID-19. Materials and methods: We conducted a prospective cross-sectional study that included 465 adult patients with laboratory-confirmed COVID-19 admitted to the intensive care unit. All patients underwent computer tomography of the chest organs, ultrasound angioscanning of lower extremities, body mass index was calculated, the presence of comorbotity diseases and indicators of volumetric blood saturation were considered. The level of D-dimer in blood plasma, coagulation parameters (fibrinogen, factor VIII) were taken from laboratory parameters in calculations. For subgroups with 5 or fewer people, the chi-square test and Fisher's exact test were used. For quantitative variables, analysis of variance (ANOVA) and the Pearson and Spearman correlation coefficient were used. For multiple variables, ordered logistic regression models were built, with likelihood ratio tests performed to compare the models. Results: A total of 465 patients were included in the study. Comorbidities were present in 435 of 465 patients (93.55%) had at least one comorbidity. The most common was arterial hypertension - 370 (79.57%), followed by chronic heart failure - 196 (42.15%), obesity - 161 (34.62%), diabetes mellitus - 144 (30.97%), chronic renal failure (CRF) -58 (12.47%) and oncological diseases -25 (5.38%). The average body mass index was 29.7 kg/m2. In patients with DVT and venostasis, the body mass index (BMI) was more than 30 kg/m2 than without DVT (32.57+or-10.92 kg/m2, and 30.24+or-6.85 kg/m2, versus 29.22+or-6.46 kg/m2, respectively). Ultrasound angioscanning (USAS) confirmed deep vein thrombosis in 60 patients (13.8%) and was associated with older age (71.12+or-13.98 versus 67.20+or-11.16, p < 0.006), venous stasis was detected in 56 patients (12%) no DVT was detected in the rest of the studied patients. In the majority of cases, DVT was detected in the tibial segment -26 (43.33%), in 18 (30%) patients it was diagnosed in the popliteal veins and in 14 (23.33%) cases in the femoral segment. Diabetes mellitus (p=0.041), obesity (p=0.01) and CRF (p=0.028) were also significant risk factors for DVT. Conclusions: Significant risk factors for deep vein thrombosis in intensive care patients with COVID-19 are high levels of D-dimer (>=2.33 g/ml) and comorbidities such as obesity, chronic kidney failure, and diabetes mellitus.
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Background: COVID-19 has spread rapidly throughout the world with high morbidity and mortality estimated up to 20%. This number will increase with the presence of comorbidities. Comorbidities were associated with complex clinical management and impacted on COVID-19 disease outcomes. This study aims to determine the association between comorbidities and the outcome of COVID-19 patients at Dr. M. Djamil Hospital. Method: We conducted an observational study with a retrospective cohort design on COVID-19 patients treated at Dr. M. Djamil Hospital. Data were taken from medical records from January to March 2021. Association between comorbidities and the outcome of COVID-19 patients was analyzed by Chi-Square or Fisher Exact Test. Results: The majority patientss were female (56.4%) and ages above 50 years old (64.3%) were the majority of patients. The most common was hypertension (36.56%). The longest length of stay of COVID-19 patients was more than 21 days (52.9%). The outcomes of COVID-19 patients were recovered (59.5%), recovered with sequelae (5.7%), and died (34.8%). Diabetes mellitus affected the end of treatment outcome. There was no relationship of type of comorbidity with length of stay. The more co-morbidities a patient suffers, the condition when infected with COVID-19 will get worse. Conclusion: The number of comorbidities affects the outcome of COVID-19 patients. Diabetes mellitus is most common that affects the end of treatment outcome for COVID-19 patients at Dr. M. Djamil Hospital.
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OBJECTIVE: To assess and compare the cognitive functioning of post-Covid patient with non-Covid person among the general population of Khyber Pakhtunkhwa province of Pakistan. METHODS: This descriptive cross-sectional study was conducted from January to May 2021. Sample of 500 community members, including both post-Covid and non-Covid, from population of Khyber Pakhtunkhwa, Pakistan. Male and female with age of 18-64 years were included, age less than 18 years, having any nervous system or psychiatric illness or previous known cognitive impairment were excluded from the study. Validated Cognitive Functioning Self Reporting Scale (CFSS) questionnaire was used. Data was analyzed through SPSS V.25. RESULTS: Out of 600 approached, 500 (83.3%) participants responded to online questionnaire. Mean age of participants was 45+or-22 years, Majority (n=174: 34.7%) of participants were from 31- 40 years' age group. Hypertension (n=33;6.6%) and Diabetes Mellitus (n=30;6%) were the most common comorbid conditions;while 378 (75.6%) had no comorbidities. Mean CFSS values was 38.4+or-11.5 and 42.2+or-12.04 for male (n=230) and female (n=270) participants respectively. Based on standard cut off values of CFSS, mild, moderate and severe cognitive impairment was observed in 46 (24.8%), 127 (68.6%) and 12 (6.4%) cases of post-COVID and 19 (20.4%), 73 (78.4%) and 1 (1.0%) cases of non-COVID participants having no comorbidities. CONCLUSION: Cognitive performance was moderately affected among post COVID patients as compared to non-Covid population, compromising daily executive functioning as well as other elements of mental health such as attention, memory, spatial functioning & inhibition.
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The article is devoted to the global problems of modern medicine - HIV infection and the COVID-19 pandemic. The review of the literature highlights current ideas about the pathogenesis and course of COVID-19 in patients with HIV infection, and also touches upon the problems of concomitant pathology and mental health of patients with HIV in the setting of the COVID-19 pandemic. It has been shown that HIV-positive patients are a risk group for the severe course of COVID-19, in particular, individuals with severe immunodeficiency (CD4+ T lymphocytes 200 cells/l) due to the development of synergetic lung damage by SARS-CoV-2 and secondary infectious agents such as cytomegalovirus and Pneumocystis carinii. It has been proven that one of the targets of the SARS-CoV-2 virus is CD4+ T cells, which in COVID-19 leads to a more rapid progression of immunodeficiency in patients with HIV infection and, thus, significantly increases the risk of secondary diseases and death. Particular attention should be paid to middle-aged and elderly people living with HIV, who, compared with HIV-negative patients, are more likely to have concomitant pathology - arterial hypertension, cardiomyopathy and diabetes mellitus, which are the risk factors for severe COVID-19. The results of studies on the effect of antiretroviral drugs on the course of COVID-19 showed that HIV-infected patients receiving tenofovir + emtricitabine have a lower risk of severe COVID-19 and associated hospitalization than patients receiving other HIV treatment regimens. Clinical and preclinical data support the potential use of tenofovir in the treatment of novel coronavirus infection.
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Background: Corona virus disease 2019 (COVID-19) is respiratory disorder, which is major public health concern. The incidence of COVID-19 is increasing day by day with multiple variants. The infection spread in more than 213 countries with more than 219 million cases reported and 4.5 million deaths recorded till date. The fatality rate of COVID is 4.1% in china, 12.8% in Italy, 10.2% in Spain, 3.9% in USA, 2.3% in Germany, 1.09% in India and 2% in Pakistan. Objectives: The purpose of this study to assess the percentage of hypertensive people who got the COVID 19. Methodology: Patients with confirmed COVID positive, admitted in hospital or home quarantined from different areas of Punjab province between November 2020 and April 2021 and willing to fill the questionnaire were included in the study. Hospitalized patients were admitted with specific presentation of acute respiratory distress and SARS COV-2 positive. Qualitative data collection was done through questionnaire. Only 200 true positive of COVID-19 patients agreed to fill the questionnaire. All 200 patients included both hypertensive and non-hypertensive histories. Results: Hypertensive patients have higher chances to get COVID 19 infection. In patients with hypertension and COVID-19 morbidity was 2.1%, in which more than 1.5% patients had underlying diseases. Patients age range from 35.5 years to 70 years. Conclusion: Hypertension increases the risk of COVID 19 and showed high mortality.
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Objective: To analyze the viral shedding time and its influencing factors in different site samples of patients infected with severe acute respiratory syndrome coronavirus 2 (SARA-CoV-2) omicron BA.2 variant. Methods: Real-time fluorescence polymerase chain reaction was used to detect SARS-CoV-2 nucleic acid in nasopharyngeal swab, sputum and anal swab from 217 patients with coronavirus disease 2019 (COVID-19) who were infected with severe acute respiratory syndrome coronavirus 2 omicron BA.2 variant confirmed by gene sequencing in The First Affiliated Hospital of Naval Medical University (Second Military Medical University). The differences of viral shedding time of different site samples were compared. Stratified analysis and multiple linear regression analysis were used to explore the influencing factors of viral shedding time in different site samples. Results: The age of the 217 COVID-19 patients was 32.0 (24.0, 50.5) years old, 59.0% of them were males (n=128), and 41.0% were females (n=89). Eight (3.7%) cases were diagnosed with asymptomatic infection, 184 (84.8%) cases were mild type, 21 (9.7%) cases were moderate type, 3 (1.4%) cases were severe type, and 1 (0.5%) case was critical type. A total of 70 (32.3%) patients were treated with molnupiravir. The viral shedding time of SARS-CoV-2 nucleic acid in nasopharyngeal swab, sputum and anal swab was 13.0 (11.0, 17.0) d, 16.5 (13.0, 21.0) d and 10.0 (5.3, 11.0) d, respectively, with the differences being significant between them (all P<0.001). Age 60 years old, underlying diseases (especially hypertension, coronary artery diseases, or neurological diseases), and clinical classification of moderate type were risk factors for prolonged viral shedding time in nasopharyngeal swab;male sex and underlying diseases were risk factors for prolonged viral shedding time in sputum;and male sex was a risk factor for prolonged viral shedding time in anal swab. Multiple linear regression analysis showed that critical type was an independent risk factor for prolonged viral shedding time in nasopharyngeal swab (P<0.05), and male sex and underlying diseases were independent risk factors for prolonged viral shedding time in sputum (both P<0.05). Conclusion: Among patients infected with omicron BA.2 variant, the viral shedding time in sputum is the longest and that in anal swab is the shortest. Male patients and/or patients with underlying diseases have longer viral shedding time in sputum.
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Introduction: the study of the characteristics of patients with COVID-19 makes it possible to determine risk groups in specific populations and to outline strategies by the institutions to improve the quality of care for these patients. Background: to characterize patients with COVID-19 in Pinar del Rio between March 2020 and March 2021. Methods: an observational, descriptive and cross-sectional study was carried out in patients diagnosed with COVID-19 in the province of Pinar del Rio between March 2020 and March 2021. The sample consisted of 450 patients who met the inclusion and exclusion criteria. Descriptive statistics were used for data analysis. Results: female patients predominated (56%), with a history of arterial hypertension (24,6%). A high incidence of COVID was found in individuals with between two and five chronic non-communicable diseases (40,2%). Of all patients diagnosed with COVID-19, 49% were passive smokers. Conclusions: COVID-19 occurred mainly in patients with several chronic diseases, as well as in those exposed.
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Background: SARS-CoV-2 affects all age groups, but higher mortality rates are recorded in older people, men and with comorbidities, mainly hypertension, diabetes and obesity. Aim: To describe the main clinical characteristics, evolution and prognostic factors for death in older patients hospitalized for COVID-19. Materials and methods: Retrospective analysis of 128 Patients aged 73 years, 66% men, hospitalized at a clinical hospital, with a diagnosis of COVID-19, admitted from May 1 to August 1, 2020. Data were collected from the clinical records, a description of the study population was made, and a univariate analysis and logistic regression were performed. Results: Seventy-two percent of patients had two or more comorbidities, mainly arterial hypertension in 66%, diabetes mellitus in 34% and cardiovascular disease in 19%. Forty-one percent were admitted to intensive care and 31% were connected to mechanical ventilation. In-hospital mortality was 26.6%. A multivariate analysis was performed in two blocks, finding in the first that arterial hypertension and older age significantly predict mortality. However, when previous institutionalization and immunosuppression were included as variables in the second block, age ceased to be a significant predictor. Conclusions: Prognostic factors associated with death in this age group are arterial hypertension and previous institutionalization.