Prevalence of Anaemia and its Association with Severity of COVID-19 among Hospitalised Patients: A Cross-sectional Study

Introduction: Coronavirus Disease-2019 (COVID-19) emerged as a global pandemic and was associated with various haematologic abnormalities. There are very few studies from India regarding the association between anaemia and disease severity of COVID-19. Aim: To check the prevalence of anaemia and its association with severity of disease among hospitalised COVID-19 patients. Materials and Methods: This was a cross-sectional study involving 203 patients admitted in general ward and Intensive Care Unit (ICU) of a tertiary care hospital in eastern India. Complete blood count at admission along with other relevant clinical and laboratory parameters was noted. Haematological parameters of the patients were described and then correlated with disease severity and death. Spearman's correlation and Chi-square test were used to determine the associations. Results: Out of 203 patients with COVID-19,145 (71.4%) had anaemia. The study included 107 males (52.7%) and 96 females (47.3%), of which 77 (80%) females had anaemia compared to 68 (63.5%) males. Co-morbidities were present in 73 patients. Haemoglobin levels were significantly negatively correlated with disease severity (p<0.001). This was even true for patients without any other co-morbidities (p<0.05). Haemoglobin was also negatively correlated with deaths in this study (p<0.05). Conclusion: The prevalence of anaemia in admitted patients of COVID-19 was very high and low haemoglobin levels were associated with more severe disease and death. So, low haemoglobin levels in COVID-19 may be considered as a risk factor for more severe disease and death. [ FROM AUTHOR] Copyright of Journal of Clinical & Diagnostic Research is the property of JCDR Research & Publications Private Limited and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

Demographic characteristics, clinical presentation and in-hospital outcome among patients with Covid-19 in a Nigerian tertiary hospital

Background We described the demographic/clinical characteristics and in-hospital outcome of patients with COVID-19 at the University of Nigeria Teaching Hospital (UNTH) during the first wave to inform evidence-based responses during subsequent waves in Africa. Methodology We conducted retrospective cohort analyses of adult patients ≥18 years with PCR or GeneXpert-confirmed SARS-CoV-2 infection. Data was extracted from patients' medical records from 1st May to 30th September 2020. Based on disease severity, patients were either hospitalized (82) or managed at home (90). Logistic regression and cox-proportional hazard models were used to determine predictors of severe COVID-19 disease and in-hospital mortality, respectively. Results Of 172 cases, 113 (65.7%) were males, and the mean age was 45 ± 19 years. The majority were urban dwellers (72.1%), 19.8% had a positive history of contact with a confirmed/suspected case, 15.7% were healthcare workers while 68 (39.5%) had co-morbidities. Symptomatic patients comprised 73.3% of cases. Fever (p=0.02) and breathlessness (p=0.03) were commoner in males while diarrhoea (p<0.01) was predominant in females. On multivariate analysis, severe COVID-19 was predicted by the presence of co-morbidity (AOR= 14.44, 95% C.I= 4.79-43.58, p <0.001)and prior antibiotic/antimalarial use (AOR= 6.35, 95% C.I= 2.24-18.05, p =0.001) while being a non-healthcare worker (AOR= 0.18, 95% C.I= 0.04-0.78, p=0.02) was protective. However, none of the variables assessed predicted in-hospital mortality. Conclusion Our findings underscore the contributions of demographic variables in COVID-19 transmission and gender differences in clinical presentation. Underlying comorbidity likewise prior antimicrobial use increased the likelihood of severe COVID-19. The absence of mortality predictors in our study may be related to the relatively small number of deaths. Further studies are recommended to unravel the predominance of severe disease in healthcare workers. © 2023 Kamuzu University of Health Sciences.

Clinical predictors of Covid-19 mortality in a tertiary hospital in Lagos, Nigeria: A retrospective cohort study.

Background: The predictors of mortality among patients presenting with severe to critical disease in Nigeria are presently unknown. Aim: The aim of this study was to identify the predictors of mortality among patients with COVID-19 presenting for admission in a tertiary referral hospital in Lagos, Nigeria. Patients and Methods: The study was a retrospective study. Patients' sociodemographics, clinical characteristics, comorbidities, complications, treatment outcomes, and hospital duration were documented. Pearson's Chi-square, Fischer's Exact test, or Student's t-test were used to assess the relationship between the variables and mortality. To compare the survival experience across medical comorbidities, Kaplan Meir plots and life tables were used. Univariable and multivariable Cox-proportional hazard analyses were conducted. Results: A total of 734 patients were recruited. Participants' age ranged from five months to 92 years, with a mean ± SD of 47.4 ± 17.2 years, and a male preponderance (58.5% vs. 41.5%). The mortality rate was 9.07 per thousand person-days. About 73.9% (n = 51/69) of the deceased had one or more co-morbidities, compared to 41.6% (252/606) of those discharged. Patients who were older than 50 years, with diabetes mellitus, hypertension, chronic renal illness, and cancer had a statistically significant relationship with mortality. Conclusion: These findings call for a more comprehensive approach to the control of non-communicable diseases, the allocation of sufficient resources for ICU care during outbreaks, an improvement in the quality of health care available to Nigerians, and further research into the relationship between obesity and COVID-19 in Nigerians.

Assessment of Vitamin D Level as a Risk Factor and Illness Severity Indicator in COVID 19 Cases

Background: The severe acute respiratory syndrome coronavirus 2 (SARS-COV2) viruses using angiotensin-converting enzyme 2 (ACE2) receptors, to enter human cells, these receptors are highly expressed in the lung alveolar cells, vascular endothelium, cardiac myocytes, and other cells. Inadequate vitamin D levels in the blood have been linked to a higher risk of COVID-19 severity. Objective: To determine the association between Vitamin D level and severity of COVID-19 infection. Materials and Method: A cross sectional study was conducted at Thumbay Hospital, Ajman, UAE. Enrolled 70 COVID-19 positive hospitalized patients with age group ≥ 18 years old of both genders. Patients taking vitamin D supplements were excluded from the study. The biochemical analysis for the collected blood samples was performed on the automated analyzer and assessed for significance analysis. Result: There is a statistically significant correlation between Vitamin D levels and disease severity (p < 0.05) as determined by Pearson's Chi-square test. Independent t-test shown that there is a statistically significant difference with regards to gender, age groups, and co morbidity (p < 0.05). Pearson's correlation revealed a moderate, positive correlation between Vitamin D levels and the severity of COVID-19 infection, which was statistically significant. Conclusion: Vitamin D levels affect COVID-19 severity, with more severe cases showing vitamin D levels lower than normal when compared to severe cases with sufficient vitamin D levels. Furthermore, blood vitamin D levels are linked to age groups in COVID-19 patients. Vitamin D insufficiency and deficiency, on the other hand, was not linked to a higher risk of death prognosis, and co morbidities. © Sabir SM, Ismail MK, Ibrahim EH, Khan ZA.

Predicting ICU Admissions based on Preconditions and Comorbidity for SARS COV2 Infected Patients

Hospitals across the globe have severe constraints in regard to ICU facilities, beds, and other life support systems. However, in certain situations including natural calamities, epidemics or pandemics, large-scale accidents, and so on, the requirement for ICU beds and resources immediately gets augmented. During such times, there exists an impending need for an optimum apportioning of ICU admissions and resources so that those patients who need critical care are given at the right point of time. The onslaught of COVID-19 pandemic has exuded a high probability of virus transmissions and subsequent complications in patients with co-morbidities and relevant medical issues, resulting in the exploration and investigation of models that could forecast the need for ICU admissions with a higher degree of accuracy. In this research study, a patient's pre-condition dataset will be used that is categorical in nature. Feature selection and extractions are implemented and the modified descriptors are provided as input to the model, for evaluating them based on the metrics namely F1-score, accuracy, specificity, and sensitivity. The prime objective is to build a predictive algorithm that will predict prior to the necessity of ICU admissions based on the patient's comorbidity/ precondition specifically for SARS COV2 infection. © 2022 IEEE.

Comparison of Real-time RT-PCR cycle threshold (Ct) values with clinical features and severity of COVID-19 disease among hospitalized patients in the first and second waves of COVID-19 pandemic in Chennai, India.

Introduction: Real-time reverse transcriptase-polymerase chain reaction (rRT-PCR) of nasopharyngeal/ oropharyngeal swab has been the gold standard test for detection of SARS-CoV-2 infection The relationship between cycle threshold (Ct) values of rRT-PCR and severity of disease remain disputable and not clearly defined in COVID-19. Methodology: This is a single-centered retrospective observational study conducted at Government Corona Hospital (GCH), Guindy, Chennai. In the present study, we compared the Ct value of rRT-PCR from nasopharyngeal swab specimens with a diverse range of symptoms and disease severity among 240 individuals who were hospitalized with COVID-19, viz., mild cases (MC; n = 160), moderately severe cases (MSC; n = 46) and severe cases (SC; n = 34) in the first and second waves of COVID-19 pandemic. Results: The study included 240 hospitalized COVID-19 patients with a median age of 52 years (range 21 to 90 years). MC, MSC, and SC all had median Ct values of 25.0 (interquartile range - IQR 20.0 to 30.5), 29.5 (IQR 23.0 to 34.0), and 29.0 (IQR 24 to 37.5) for the ORF1ab gene. The Ct value differed significantly between mild vs moderate, and mild vs severe cases. The Ct value of SC group with co-morbidity of type 2 diabetes have a significant difference compared to non-diabetes group (p value <0.05). There was a significant difference in the median Ct value of ORF1ab gene among the MSC group and MC but not in the SC group in the first and second waves of the pandemic (p<0.05). Conclusion: We conclude that SARS-CoV-2 Ct values of rRT-PCR alone does not have a role in aiding severity stratification among patients with COVID-19 since the viral dynamics and Ct value may vary due to the emerging variants that occur in different waves of the pandemic.

COVID 19 fatalities burden in Asian countries: An analysis of pattern and determinants.

Covid 19 pandemic has severe implications on health and life of people. Asia being the most populous region has higher fatalities burden. Health infrastructure, stringent preventive measures by the government and public participation through adhering to social distancing have influence to check on fatalities' burden. The level of Social capital as well as voters' participation in a particular country can have influence on containment of COVID cases and fatalities. In this context, the main objectives of this study are to analyse pattern and trend of death burden for 45 Asian countries and impact of stringency measures by government, and voters' turnout ratio on death burden. However, for regression analysis only 32 countries are taken into account considering the availability of data for all variables. Multiple linear regression analysis is employed in a cross-sectional framework and Ordinary least square estimation technique with heteroscedastic adjusted standard errors have been used for estimation of coefficients. The results show that southern Asia contributes the highest share of fatality cases in total fatality cases of Asia with 71.43% share. It also has the highest share of confirmed cases in total confirmed cases of Asia with 71.72%. However, when we take the population into account, Western Asia leads in the share of confirmed COVID-19 cases and its associated fatality cases per million populations in Asia as compared to other Asian regions. The factors like health infrastructure and voters' turnover ratio are found to be significant and potential in reducing the new deaths per million populations. Though the coefficient of Stringency index has been negative and it did not emerge to be significant in Asian countries. The COVID related fatalities in Asian region are urban centric and urbanization proxy is found to be positive and significant. Diabetes prevalence rate has some heterogeneous result and in the present study its coefficient is not in the hypothesized direction. . The Countries should ramp up health infrastructure and necessary preparedness to deal with the subsequent waves and COVID related fatalities. Importance need to be given people's participation and their shared responsibilities in dealing with COVID cases and checking on fatalities. The realisation of social responsibility among the masses can lead to community participation and adhering to the protocols imposed by the government and helps in checking on spread of virus and associated death.

How to increase COVID-19 vaccine uptake among children? determinants associated with vaccine compliance.

Objective: Three aims: to elucidate determinants associated with COVID-19 vaccine uptake in children and the association with parental vaccination; to compare rates of PCR-positive SARS-CoV-2 results between vaccinated and unvaccinated children; to estimate the rate of parental COVID-19 vaccination and its association with the vaccination rate of their children. Methods: We performed a retrospective chart review of all children aged 5-11 years registered at a central district in Israel from November 21st, 2021 to April 30th, 2022, and characterized COVID-19 vaccinated vs. unvaccinated individuals. Data retrieved from the electronic medical files included: demographics [age, gender, sector, socioeconomic status (SES)]; COVID-19 vaccination (first and second doses) and influenza vaccination status; co-morbidities; and parental vaccinations for COVID-19. We divided the population into three distinct demographic groups: non-ultra-orthodox Jews (43,889 children), ultra-orthodox Jews (13,858 children), and Arabs (4,029 children). Results: Of the 61,776 children included in the study, 20,355 (32.9%) received at least one dose of the COVID-19 vaccine. Vaccination rates were similar amongst males and females and were higher in children aged 9-11 years compared to children aged 5-6 years. Multivariate analysis identified five independent determinants that were significantly (p < 0.001) associated with low vaccination rates: Arab and ultra-orthodox sectors (odds ratios: 0.235 and 0.617, respectively); children aged 5-8 years; children of low SES; and children who had not received previous seasonal influenza vaccination. Relatively high vaccination rates were noted amongst children with the following medical co-morbidities: treatment with biological agents (42.9%); solid tumor transplantation (42.9%); type 1 diabetes mellitus (38.5%), asthma (38.2%), and attention deficit and hyperactivity disorder (ADHD) (37.6%). Regarding the uptake of two vaccine doses among children with co-morbidities, it was highest in those with type 1 diabetes mellitus, heart failure, treatment with biological agents, asthma and obesity. Conclusion: This study highlights several pediatric sub-populations with low and high vaccine uptake. It is essential to focus on determinants associated with low vaccination rates.

Pain in COVID-19: Quis est culpa?

Background: At present, during the coronavirus disease (COVID-19) pandemic, chronic pain is becoming more prominent, and it is also associated with the post-COVID-19 syndrome. Thanks to quick decisions on the therapy and as part of COVID-19 prevention, we have succeeded in stabilising the situation all over the world. On the other hand, 'quick decisions' have contributed to other significant issues which we are beginning to deal with now: in the effort to defeat the virus, many experts regarded the adverse effects of the medications used to be of secondary importance. Purpose: The article aims to demonstrate the side effects of treatment with various drugs (and their combinations) that are used to treat COVID-19 disease. Method: From the beginning of January until mid-May, the COVID-19 department of the 2nd Surgical Clinic of the Faculty of Medicine of the Comenius University in Bratislava (University Hospital Bratislava, Hospital of Saints Cyril and Methodius) treated 221 patients with moderate and severe course of COVID-19 (2nd wave of the pandemic). We saw some adverse effects and lack of effect of certain drugs for COVID-19. Results: The benefits of preventive measures compared to treatment are enormous. For example, corticoids can impair metabolism, cause diabetes, or suppress immunity. Antibiotics may cause colitis and blood pressure medications may negatively impact blood circulation. Conclusion: Preventive measures such as vaccination and activation of intrinsic antiviral immune systems are based on an incomparable benefit. Important in the process of the activation of antiviral immunity (linked to interferon synthesis) in the prevention of COVID-19 is the improvement of vitamin D deficit and the use of other micronutrients. Practical value: The results of the study will be valuable in the field of medicine, for virologists, pharmacologists, pharmacists, and medical professionals.

A systematic review of clinical characteristics, co-morbidities and outcomes of COVID-19 in children and adolescents

Background: COVID-19 is a major global health challenge that has affected all age groups and gender, with over 5 million deaths reported worldwide to date. The objective of this study is to assess available information on COVID-19 in children and adolescents with respect to clinical characteristics, co-morbidities, and outcomes, and identify gaps in the literatures for appropriate actions. Methodology: Electronic databases including Web of Science, PubMed, Scopus, and Google Scholar were searched for observational studies such as case series, cross-sectional and cohort studies published from December 2019 to September 2021, using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guide. Data extracted included (i) patient demography (age and gender), (ii) clinical characteristics including vaccination status and presence of co-morbidities, (iii) clinical management including the use of sequential organ failure assessment (SOFA) scores, oxygen requirement, use of mechanical ventilation, and (iv) disease outcomes including length of hospital and intensive care unit (ICU) admission, recovery, complications with sequelae, or death. Data were analyzed using descriptive statistics. Result(s): A total of 11 eligible studies were included with a total of 266 children and adolescents;137 (51.5%) females and 129 (48.5%) males. The mean age of the children was 9.8 years (range of 0 - 19 years), and children >= 6 years were more affected (40.7%) than age groups 1 - 5 years (31.9%) and < 1 year (27.4%). The major co-morbidities were respiratory diseases including pre-existing asthma (3.4%), neurologic conditions (3.4%) and cardiac pathology (2.3%). Majority (74.8%, 199/266) of the patients were discharged without sequelae, 0.8% (2/266) were discharged with sequalae from one study, and mortality of 1.9% (5/266) was reported, also from one study. SOFA scores of patients at admission were not stated in any of the study, while only one study reported patient vaccination status. Conclusion(s): It is recommended that safe vaccines for children < 1 year of age should be developed in addition to other preventive measures currently in place. SOFA scores should be used to assess risk of COVID-19 severity and monitor prognosis of the disease, and vaccination status of children should be documented as this may impact the management and prognosis of the disease. Copyright AJCEM 2022.

Age, Sex and Previous Comorbidities as Risk Factors Not Associated with SARS-CoV-2 Infection for Long COVID-19: A Systematic Review and Meta-Analysis.

Identification of predictors of long COVID-19 is essential for managing healthcare plans of patients. This systematic literature review and meta-analysis aimed to identify risk factors not associated with Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection, but rather potentially predictive of the development of long COVID-19. MEDLINE, CINAHL, PubMed, EMBASE, and Web of Science databases, as well as medRxiv and bioRxiv preprint servers were screened through 15 September 2022. Peer-reviewed studies or preprints evaluating potential pre-SARS-CoV-2 infection risk factors for the development of long-lasting symptoms were included. The methodological quality was assessed using the Quality in Prognosis Studies (QUIPSs) tool. Random-effects meta-analyses with calculation of odds ratio (OR) were performed in those risk factors where a homogenous long COVID-19 definition was used. From 1978 studies identified, 37 peer-reviewed studies and one preprint were included. Eighteen articles evaluated age, sixteen articles evaluated sex, and twelve evaluated medical comorbidities as risk factors of long COVID-19. Overall, single studies reported that old age seems to be associated with long COVID-19 symptoms (n = 18); however, the meta-analysis did not reveal an association between old age and long COVID-19 (n = 3; OR 0.86, 95% CI 0.73 to 1.03, p = 0.17). Similarly, single studies revealed that female sex was associated with long COVID-19 symptoms (n = 16); which was confirmed in the meta-analysis (n = 7; OR 1.48, 95% CI 1.17 to 1.86, p = 0.01). Finally, medical comorbidities such as pulmonary disease (n = 4), diabetes (n = 1), obesity (n = 6), and organ transplantation (n = 1) were also identified as potential risk factors for long COVID-19. The risk of bias of most studies (71%, n = 27/38) was moderate or high. In conclusion, pooled evidence did not support an association between advancing age and long COVID-19 but supported that female sex is a risk factor for long COVID-19. Long COVID-19 was also associated with some previous medical comorbidities.

Incidence of SARS-CoV-2 infection in hospital workers before and after vaccination programme in East Java, Indonesia-A retrospective cohort study.

Background: The incidence of the Coronavirus Disease 2019 (COVID-19) among healthcare workers (HCWs) is widespread. It is important to understand COVID-19 characteristics among HCWs before and after vaccination. We evaluated the incidence of COVID-19 among HCWs in East Java, Indonesia comparing the characteristics of the disease between the pre- vs post-vaccination periods. Methods: A retrospective observational study was conducted among HCWs in two major hospitals in East Java, Indonesia, between April 01, 2020, and Oct 31, 2021. All HCWs were offered vaccination with inactivated viral vaccine (CoronaVac) from Jan 15, 2021. Therefore, we divided the time of the study into the pre-vaccination period (between April 01, 2020, and Jan 14, 2021) and post-vaccination period (between Jan 15 and Oct 31, 2021). We then compared the pattern of COVID-19 infections, and hospitalisations between these periods. Findings: A total of 434 (15.1%) and 649 (22.6%) SARS-CoV-2 infections were reported among study participants (n = 2878) during the pre-vaccination and post-vaccination periods, respectively. The vaccine effectiveness was 73.3% during the first 3-4 months after vaccination but this decreased to 17.6% at 6-7 months after vaccination, which coincided with the emergence of the delta variant. The overall hospitalisation rate was reduced from 23.5% in the pre-vaccination period to 14.3% in the post-vaccination period. Hypertension appeared to be the strongest risk factor affecting hospitalisation in the pre-vaccination period. However, the risk due to hypertension was reduced in the post-vaccination period. Interpretation: The risk to contract COVID-19 remains high among HCWs in East Java, Indonesia. Vaccination is important to reduce infection and hospitalisation. It is essentially important to evaluate the characteristics of COVID-19 infection, hospitalisation, the impact of co-morbidities and vaccine effectiveness in order to improve the measures applied in protecting HCWs during the pandemic. Funding: Mandate Research Grant No:1043/UN3.15/PT/2021, Universitas Airlangga, Indonesia.

Retrospective time to event analysis of integrated medicine treatment effect on mild symptomatic COVID19 patients in facility quarantine at Kallakurichi, Tamil Nadu

Background: This study has been conducted on confirmed COVID 19 positive patients (n = 55), who had come to Kallakurichi District of Tamilnadu state from one of the containment zones in Indian State of Maharashtra. Out of the 55, 8 (14.55%) patients were symptomatic and remaining 47 (85.45%) were asymptomatic patients. 47 patients who reached in their home land on 24th May and rest on 25th may 2020. All of them have been treated with integrated medicine treatment method. Materials and Methods: Everybody was quarantined from 27th may to 7th June 2020 at Mahabharathi Engineering College, Vasudevanur, Chinna salem Taluk, Kallakurichi District. Integrative Intervention Consisting of Vitamin C Tablet, Zinc tablet for 5 days, and Kabasura Kudineer 60 ml BD Before food for all days was the treatment given for all patients. Result: Among them, three of them had co -morbid conditions like diabetes and hypertension. 27.3% were female and 72.7% are male patients. Average age was 32.33 among the range of 14 to 65years. Conclusion: All patients including who has co-morbidity were completely relieved from the disease on the day of discharge. All symptomatic patients were asymptomatic with median time of 4 days IP admission.

Effect of awareness, quarantine and vaccination as control strategies on COVID-19 with Co-morbidity and Re-infection.

In this paper, a deterministic compartmental model is presented to assess the impact of vaccination and non-pharmaceutical interventions (social distance, awareness, face mask, and quarantine) on the transmission dynamics of COVID-19 with co-morbidity and re-infection. An expression for the basic reproduction number is then derived for this model. Theoretical analysis shows that the model exhibits backward bifurcation phenomenon when the basic reproduction number is less than unity. But for the case of no re-infection, the model has a globally asymptotically stable disease-free equilibrium (DFE) when the basic reproduction number is less than unity. Furthermore, it is shown that in the case of no re-infection, a unique endemic equilibrium point (EEP) of the model exists which is globally asymptotically stable whenever the reproduction number is greater than unity. From the global sensitivity and uncertainty analysis, we have identified mask coverage, mask efficacy, vaccine coverage, vaccine efficacy, and contact rate as the most influential parameters influencing the spread of COVID-19. Numerical simulation results show that the use of effective vaccines with proper implementation of non-pharmaceutical interventions could lead to the elimination of COVID-19 from the community. Numerical simulations also suggest that the control strategy that ensures a continuous and effective mass vaccination program is the most cost-effective control strategy. The study also shows that in the presence of any co-morbidity and with the occurrence of re-infection, the disease burden may increase.

COVID-19 Vaccination Status among Patients with Chronic Respiratory Diseases: A Cross-sectional Study from a Tertiary Care Centre in Southern India

Introduction: Pre-existing respiratory diseases were recognized as risk factors for COVID-19 associated morbidity and mortality. One year after the launch of vaccines against COVID-19, vaccination status in specific population was not clear. Vaccination of population at risk is crucial for COVID-19 control. Aim: To estimate the COVID-19 vaccination status and to detect the reasons for vaccine hesitancy among people with chronic respiratory diseases. Materials and Methods: This cross-sectional observational study was conducted in Respiratory Medicine Department at Narayana Medical College, Nellore, Andhra Pradesh, India, from January and February 2022. All the patients above 18 years of age, who presented with chronic respiratory diseases, were included in the study. After taking informed consent, their responses were noted using a validated questionnaire containing data like demographic data and details of vaccination against COVID-19 and reasons for refusal/hesitancy. Results: Out of total 755 subjects, 48.47% were of Chronic Obstructive Pulmonary Disease (COPD), 42.38% were of asthma, of bronchiectasis, and 1.72% were of Interstitial Lung Disease (ILD). Mean age of study population was 51.37 +/- 15.30 years, 58% were male and 42% were female. Overall, 75% subjects received at least single dose of COVID-19 vaccine. Higher vaccine acceptance was noted among 31-42 years age group, males, residents of rural area, graduates, subjects with income more than one lac per month and smokers. Vaccine hesitancy was 25%. Intake of a native medicine (72.87%) was the most common cause for vaccine refusal among these subjects. Other reasons for vaccine hesitancy were, worries about side -effects (63.3%), associated multiple co-morbidities (44.15%), lack of confidence in vaccines (15.96%) and fear of injection (14.89%). Conclusion: Vaccine acceptance against COVID-19 is nearly 75% among people with chronic respiratory diseases in India. Nonetheless, some people were still hesitant to receive vaccine. Continuous health education at every level is needed to achieve vaccination targets.

Prevalence of co-morbidities and its association with mortality in Indian patients with COVID-19: A meta-analysis.

Background and Aims: Coronavirus disease 2019 (COVID 19) has spread to every corner of the world and has led to significant health consequences, especially in patients with co morbidities. This study aimed to estimate the prevalence of co morbidities among COVID 19 patients in the Indian population and their association with mortality. Methods: PubMed, Google Scholar, and World Health Organization website were searched for Indian studies on COVID 19 published from February 2020 up to 20 May 2021. English language publications from India, studies reporting epidemiological characteristics, prevalence of co morbidities and in hospital mortality were included in the meta analysis. Results: 34 studies were identified with a total of 23,034 patients. The pooled prevalence for co morbidities in COVID 19 patients was 18.1% [95% confidence interval (CI), 13.3 to 24.3%] for hypertension, 17.7% (95% CI, 12.2 to 25.1%) for diabetes, 7.9% (95% CI, 4.6 to 13.4%) for hypothyroidism and 7.7%(95% CI, 4.8 to 12. 1%) for cardiovascular diseases. For chronic kidney disease (CKD), chronic obstructive pulmonary disease (COPD), cerebrovascular diseases, asthma, chronic liver disease, tuberculosis and cancer, the pooled prevalence was less than 4%. Additionally, the mortality risk was increased significantly in patients with CKD [odds ratio (OR) = 4.1], COPD (OR = 3.9), diabetes (OR = 3.7), cardiovascular diseases (OR = 4.07), tuberculosis (OR = 6.11), chronic liver disease (OR = 8.5), malignancy (OR = 1.89) and hypertension (OR = 2.9). Cerebrovascular diseases, hypothyroidism and asthma were not associated with increased mortality. Conclusion: Co-morbidities are more prevalent in COVID 19 hospitalised patients and the presence of co morbidities is associated with increased risk of mortality in Indian COVID 19 patients.

The effect of prescribing vitamin D analogues and serum vitamin D status on both contracting COVID-19 and clinical outcomes in kidney dialysis patients'.

AIMS: Vitamin D plays a role in innate immune system activation, and deficiency increases susceptibility to respiratory infections and disease severity including COVID-19. We determined whether vitamin D levels and medications were associated with contracting COVID-19, and disease severity defined by hospitalisation and dialysis patient mortality. METHODS: We reviewed serum vitamin D levels, and prescription of cholecalciferol and alfacalcidol along with corresponding medical records of adult dialysis patients from a United Kingdom tertiary centre between March 2020 and May 2021. COVID-19 infection was determined by polymerase chain reaction (PCR) results. RESULTS: 362 (35%) of 1035 dialysis patients tested PCR positive for COVID-19. COVID-19 positive patients had lower native median vitamin D (65 (39-95) versus 74 (40.5-101) nmol/L (p = .009) despite greater prescription of cholecalciferol (median 20 000 (20000-20 000) versus 20 000 (0-20 000) IU/week), p < .001, but lower prescription of alfacalcidol 0 (0-3.0) versus 2.0 (0.-5.0) ug/week, p < .001. On multivariate logistic regression COVID-19 infection was associated with haemodialysis versus peritoneal dialysis (p < .001), cholecalciferol dose (p < .001) and negatively with alfacalcidol (p < .001). However, serum vitamin D levels and alfacalcidol dosages were not significantly different for those requiring hospitalisation compared to those managed at home, although those who died were prescribed lower alfacalcidol dosages. CONCLUSION: Dialysis patients who contracted COVID-19 had lower levels of native vitamin D prior to COVID-19 and were prescribed lower dosages of alfacalcidol. However, there was no association between vitamin D status and disease severity. This retrospective observational analysis supports a potential role for vitamin D and susceptibility to COVID-19 infection in dialysis patients.

Diabetes in the Western Cape, South Africa: A secondary analysis of the diabetes cascade database 2015 - 2020.

AIM: The aim was to describe the demographics, comorbidities and outcomes of care for patients with diabetes at primary care facilities in the Western Cape, South Africa, between 2015 and 2020. METHODS: This was a secondary analysis of the diabetes cascade database. RESULTS: The database included 116726 patients with mean age of 61.4 years and 63.8 % were female. The mean age at death was 66.0 years. Co-morbidities included hypertension (69.5 %), mental health disorders (16.2 %), HIV (6.4 %) and previous TB (8.2 %). Sixty-three percent had at least one previous hospital admission and 20.2 % of all admissions were attributed to cardiovascular diseases. Coronavirus was the third highest reason for admission over a 10-year period. Up to 70% were not receiving an annual HbA1c test. The mean value for the last HBA1c taken was 9.0%. Three-quarters (75.5 %) of patients had poor glycaemic control (HbA1c >7 %) and a third (33.7 %) were very poorly controlled (HbA1c>10 %). Glycaemic control was significantly different between urban sub-districts and rural areas. Renal disease was prevalent in 25.5 %. CONCLUSION: Diabetes was poorly controlled with high morbidity and mortality. There was poor compliance with guidelines for HbA1c and eGFR measurement. At least 7% of diabetic patients were being admitted for complications annually.

Application of a Non-Linear multi-model Ayurveda Intervention in elderly COVID-19 patients- a retrospective case series.

The COVID-19 pandemic is ravaging the world, leaving the mainstream medical system handicapped with no proven treatment at one end and the ambiguities regarding the efficacies of vaccines at the other. The elderly population is at greater risk in terms of complications and death. The use of complementary and alternative medicine (CAM) against COVID-19 has already been documented in countries like China with a national participation rate of 90%. In this regard, the practice of CAM especially Ayurveda is relevant in India. The current report is a case series of 64 elderly COVID-19 patients managed through a Non-Linear multi-modal Ayurveda Intervention (NLMAI) via online consultation. NLMAI is a combination of herbal and herbo-mineral drug interventions, lifestyle modifications, and psychological support done in 2 phases. The post-management analysis revealed a mean duration of 11 symptoms of COVID-19 assessed through survival function as 0.577 days [SE=0.39] with a CI of 95% [0.500-0.653] which was considerably low when compared to global statistics. Moreover, none of the cases advanced to complications or death. Hence, novel approaches like NLMAI can be utilized to counter the gravity of the COVID-19 after scientific validation.

An observational study to determine the clinical course of asymptomatic and mildly symptomatic COVID-19-positive patients admitted to a tertiary care centre in Puducherry

Background: Severe acute respiratory syndrome Coronavirus2 (SARSCoV2) disease (COVID-19) has spread nationwide including union territory of Puducherry. Methods: Consecutive asymptomatic or mildly symptomatic COVID-19 patients admitted to the COVID-19 ward were included in the study. Demographic details, following of social norms, contact-exposure history, presence of co-morbidities, vital parameters, clinical symptoms and signs, development of new symptoms, progression and outcome of study patients are reported. Results: Six hundred and forty two patients were included for final analysis. Most of symptomatic patients did not use face mask (87%) and did not follow social distancing (84.1%) or hand hygiene (91.3%). Out of mildly symptomatic patients, 12 become moderately or severely symptomatic and were shifted to intensive care unit. All these patients were male, aged more than 50 years with co-morbidities. Conclusions: Wearing face mask, social distancing and hand hygiene can decrease disease severity. Male patients with co-morbidities and old age are at higher risk of progression to moderate or severe COVID-19 infection. [ FROM AUTHOR] Copyright of Journal of Clinical & Scientific Research is the property of Sri Venkateswara Institute of Medical Sciences and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)