Bibliometric overview of Ramadan fasting studies during 2010–2021

Background and aimsTo quantify the bibliometric parameters of Ramadan fasting literature from 2010 to 2021.Materials and methodsScopus was searched for all articles related to Ramadan fasting or Islamic fasting from the beginning of 2010 to the end of 2021. Only original articles and reviews were included and their bibliometric and scientometric parameters were determined using Excel, Graph Pad Prism, VOSviewer, and Sci2 tool software.ResultsFinally 1276 articles, including 1109 original articles and 167 reviews, were included. These articles had 14263 citations and an H-index of 48. Based on the number of publications, top institute, top journal, top country, and top authors were University of Sfax (n = 48 articles), Diabetes Research and Clinical Practice (n = 69), the United States (n = 144), and Chtourou H & Hassanein M (n = 38), respectively. Also, Diabetes Research and Clinical Practice had a strong bibliographic coupling with other journals. The recent bursting words were adrenal insufficiency and COVID-19. The most co-occurred topics were the effect of Ramadan fasting on diabetic patients, pregnant women, and glycemic state and body composition of diabetic patients.ConclusionThis study provided a comprehensive bibliometric overview of Ramadan fasting literature from 2010 to 2021. The temporal change in the number of publications and other analyses on the literature of 2019, 2020 and 2021 showed that substantial increasing publications with new emerging subjects had become of interest to many researchers during the last three years.     

Impact of diabetes on the severity of COVID-19 infection in pregnant women - A single-center descriptive study

Background and aimsPregnant women have significant morbidity and mortality due to COVID-19 infection. Pregnancy and diabetes are known risk factors for severe COVID 19 infection. Understanding the interactions between COVID-19 and diabetes in pregnancy is crucial in developing appropriate therapeutic approaches. India, like many other countries, has a very high prevalence of diabetes and COVID-19 infected cases. Such studies are minimal worldwide and none from India to the best of our knowledge.Materials and methodsWe did a retrospective cross-sectional study. 856 COVID-19 infected pregnant women were included in the study. We estimated the impact of diabetes on the severity of COVID-19 infected pregnant women and compared the outcomes with the non-diabetic group.ResultsPrevalence of diabetes in pregnancy in the present study was 15.43%(n = 132/856). Prevalence of diabetes in non-severe infection was 14%(n = 115/818), severe infection was 44.73%(n = 17/38), and in maternal deaths was 75% (n = 6/8). The age-adjusted odds ratio for diabetes for severe infection was 4.492 (95% CI = 2.277–8.865, p < 0.001). COVID-19 infected pregnant women with diabetes were at higher risk for Cesarean section (78.3%) and ICU admission for newborns (14.81%)ConclusionDiabetes in pregnant women is strongly associated with the severity of COVID-19 infection. The prevalence of diabetes in pregnancy increases as the severity of COVID-19 infection increases. Diabetes is associated with more adverse outcomes in mothers and newborns. It is necessary to identify pregnant women with diabetes and prioritize them in public health interventions like vaccination.     

Diabetes as a risk factor for greater COVID-19 severity and in-hospital death: A meta-analysis of observational studies

AimsTo estimate the prevalence of established diabetes and its association with the clinical severity and in-hospital mortality associated with COVID-19.Data synthesisWe systematically searched PubMed, Scopus and Web of Science, from 1st January 2020 to 15th May 2020, for observational studies of patients admitted to hospital with COVID-19. Meta-analysis was performed using random-effects modeling. A total of 83 eligible studies with 78,874 hospitalized patients with laboratory-confirmed COVID-19 were included. The pooled prevalence of established diabetes was 14.34% (95% CI 12.62–16.06%). However, the prevalence of diabetes was higher in non-Asian vs. Asian countries (23.34% [95% CI 16.40–30.28] vs. 11.06% [95% CI 9.73–12.39]), and in patients aged ≥60 years vs. those aged <60 years (23.30% [95% CI 19.65–26.94] vs. 8.79% [95% CI 7.56–10.02]). Pre-existing diabetes was associated with an approximate twofold higher risk of having severe/critical COVID-19 illness (n = 22 studies; random-effects odds ratio 2.10, 95% CI 1.71–2.57; I² = 41.5%) and ~threefold increased risk of in-hospital mortality (n = 15 studies; random-effects odds ratio 2.68, 95% CI 2.09–3.44; I² = 46.7%). Funnel plots and Egger's tests did not reveal any significant publication bias.ConclusionsPre-existing diabetes is significantly associated with greater risk of severe/critical illness and in-hospital mortality in patients admitted to hospital with COVID-19.     

Frequency of fibromyalgia syndrome and anxiety post-corona virus disease-2019 (COVID-19) in patients attending the rheumatology clinic

Aim of the workTo screen for the new development of fibromyalgia syndrome (FMS) and anxiety in rheumatic diseases (RDs) patients and control who recovered from coronavirus disease 2019 (COVID-19).Patients and methodsThe study included 200 RDs patients and 100 matched controls with no previous history of FMS and who recovered from COVID-19. The patients’ RDs included rheumatoid arthritis (RA) (n = 50), systemic lupus erythematosus (SLE) (n = 50), juvenile idiopathic arthritis (JIA) (n = 40) and spondyloarthritis (SpA) (n = 60). The fibromyalgia symptom scale (FS), fibromyalgia impact questionnaire (FIQ) and Hamilton Anxiety rating scale were assessed.ResultsThe mean age of patients was 35.9 ± 8.5 years with female: male 2.6:1. Fibromyalgia and anxiety were significantly higher in cases than control (22.5 % vs 12 % and 27 % vs16 %, p = 0.002, p = 0.03 respectively). Hypertension, obesity, anxiety, severe COVID-19, frequency of SLE and SpA were significantly higher in patients with FMS compared to those without (31.1 % vs 11.6 %, 68.9 % vs 21.9 %, 84.4 % vs 10.3 %, 48.9 % vs 16.8 %, 31.1 % vs 23.2 % and 40 % vs 27.1; p = 0.002, p < 0.001, p < 0.001, p < 0.001, p = 0.014, p = 0.004 respectively).Severity of COVID-19, diabetes and anxiety were significant predictors of FMS(β = 1.1, p = 0.007; β = 3.03, p = 0.001 and β = 4.44, p < 0.001 respectively). Fibromyalgia increases with increase anxiety grade; the percentage of fibromyalgia was 4.7 %, 50 %, 90 % and 100 % among patients with no anxiety, mild, moderate, and severe anxiety respectively (p < 0.001).ConclusionFibromyalgia is common in RDs patients post-COVID-19. Diabetes, COVID-19 infection severity and anxiety predict the risk of developing post-COVID-19 fibromyalgia. Post-COVID-19 fibromyalgia occurred more in hypertensive, obese, anxious and patients with severe COVID infection.     

Reported exposure trends among healthcare personnel COVID-19 cases,USA, March 2020–March 2021

BackgroundHealth care personnel (HCP) have experienced significant SARS-CoV-2 risk, but exposure settings among HCP COVID-19 cases are poorly characterized.MethodsWe assessed exposure settings among HCP COVID-19 cases in the United States from March 2020 to March 2021 with reported exposures (n = 83,775) using national COVID-19 surveillance data. Exposure setting and reported community incidence temporal trends were described using breakpoint estimation. Among cases identified before initiation of COVID-19 vaccination programs (n = 65,650), we used separate multivariable regression models to estimate adjusted prevalence ratios (aPR) for associations of community incidence with health care and household and/or community exposures.ResultsHealth care exposures were the most reported (52.0%), followed by household (30.8%) and community exposures (25.6%). Health care exposures and community COVID-19 incidence showed similar temporal trends. In adjusted analyses, HCP cases were more likely to report health care exposures (aPR = 1.31; 95% CI:1.26-1.36) and less likely to report household and/or community exposures (aPR = 0.73; 95% CI:0.70-0.76) under the highest vs lowest community incidence levels.DiscussionThese findings highlight HCP exposure setting temporal trends and workplace exposure hazards under high community incidence. Findings also underscore the need for robust collection of work-related data in infectious disease surveillance.ConclusionsMany reported HCP cases experienced occupational COVID-19 exposures, particularly during periods of higher community COVID-19 incidence.     

Characterizing progressive beta-cell recovery after new-onset DKA in COVID-19 provoked A-β+ KPD (ketosis-prone diabetes): A prospective study from Eastern India

BackgroundRecent literature suggests a bi-directional relationship between COVID-19 infection and diabetes mellitus, with an increasing number of previously normoglycemic adults with COVID-19 being admitted with new-onset diabetic ketoacidosis (DKA). However, the possibility of COVID-19 being a potential trigger for A-β + ketosis-prone diabetes (KPD) in these patients needs elucidation. Our study aimed at analyzing such a cohort of patients and determining their natural course of β-cell recovery on serial follow-up.MethodsAfter initial screening, n = 42 previously non-diabetic patients with new-onset DKA and RT-PCR positive COVID-19, were included in our ten-month follow-up study. Of these, n = 22 were negative (suspected A-β + KPD) and n = 20 were positive (Type 1A DM) for autoantibodies (GAD/IA-2/ZnT8). Subsequently, n = 19 suspected KPD and n = 18 Type 1A DM patients were followed-up over ten months with serial assessments of clinical, biochemical and β-cell secretion. Amongst the former, n = 15 (79%) patients achieved insulin independence, while n = 4 (21%) continued to require insulin at ten-months follow-up.ResultsOn comparison, the suspected KPD patients showed significantly greater BMI, age, Hba1c, IL-6 and worse DKA parameters at presentation. Serial C-peptide estimations demonstrated significant β-cell recovery in KPD group, with complete recovery seen in the 15 patients who became insulin independent on follow-up. Younger age, lower BMI, initial severity of DKA and inflammation (IL-6 levels), along-with reduced 25-hydroxy-Vitamin-D levels were associated with poorer recovery of β-cell secretion at ten-month follow-up amongst the KPD patients,ConclusionsThis is the first prospective study to demonstrate progressive recovery of β-cell secretion in new-onset A-β + KPD provoked by COVID-19 infection in Indian adults, with a distinctly different profile from Type 1A DM. Given their significant potential for β-cell recovery, meticulous follow-up involving C-peptide estimations can help guide treatment and avoid injudicious use of insulin.     

Dyslipidemia research landscape and socioeconomic facilitators of scientific productivity in Southeast Asia

BackgroundThe growing prevalence of lipid disorder in Southeast Asia (SEA) resulted in an increase in clinical and epidemiological studies on dyslipidemia in the region. Thus, there is a need to summarize the existing evidence from the literature.AimsThis paper determined the research landscape of dyslipidemia in SEA. This study also identified the socioeconomic facilitators of scientific productivity in dyslipidemia research in SEA.MethodsA database search of dyslipidemia literature in SEA countries was performed using the Scopus database. Bibliographic information was obtained, and network visualization of collaboration among countries and keywords was created using VOSviewer software.ResultsThis bibliometric analysis showed a continuous increase in published articles in SEA, most of which were from universities and hospitals in Thailand, Singapore, Malaysia, and Indonesia. The usual topics of dyslipidemia research in SEA include epidemiology, pathophysiology, comorbidities and complications, and treatment options for dyslipidemia. Research & development expenditure (total citations: p = 0.037; h-index: p = 0.031) and researchers in R&D (total citations: p = 0.005; h-index: p = 0.017) were positively correlated with citations and h-index for dyslipidemia publications from SEA countries. Moreover, the number of research collaborations within SEA and worldwide was positively correlated with the total publications, citations, and h-index of SEA countries for their dyslipidemia research outputs.ConclusionIn summary, this bibliometrics study showed an increasing trend of dyslipidemia research in SEA countries. Policymakers and administrators should invest more in dyslipidemia studies to propose better strategies in curbing the prevalence of this condition in SEA.     

Clinical characteristics and outcomes of COVID-19 infected diabetic patients admitted in ICUs of the southern region of Bangladesh

Background and aimsDiabetes mellitus is highly prevalent among critical cases of coronavirus disease 2019 (COVID-19) with poor outcomes. This study aimed to describe the clinical characteristics and outcomes of COVID-19 patients with diabetes, admitted in the intensive care unit (ICU) of the southern region of Bangladesh.MethodsEpidemiological, clinical, laboratory, treatments, complications, and clinical outcomes data were extracted from electronic medical records of 168 COVID-19 patients admitted into ICU of two COVID-19 dedicated hospitals of Chattogram, Bangladesh and compared between diabetes (n = 88) and non-diabetes (n = 80) groups.ResultsThe prevalence of diabetes was high among 51–70 years old patients. All the diabetic patients had at least one other comorbidity, with a significantly higher incidence of hypertension (53.4% vs 27.5%, P < 0.05). Prevalence of male patients (74/88; 84.1%) was slightly higher among diabetic patients than the non-diabetic patients (60/80; 75%). Even though not significant, Kaplan-Meier survival curve showed that COVID-19 patients with diabetes had a shorter overall survival time than those without diabetes. In subgroup analysis, diabetic patients were classified into insulin-requiring and non-insulin-requiring groups based on their requirement of insulin during the stay in ICU. COVID-19 infected diabetic patients requiring insulin have high risk of disease progression and shorter survival time than the non-insulin required group.ConclusionsDiabetes is an independent risk factor for the poor prognosis of COVID-19. More attention should be paid to the prevention and prompt treatment of diabetic patients, to maintain good glycaemic control especially those who require insulin therapy.     

Metabolic characteristics in patients with COVID-19 and no-COVID-19 interstitial pneumonia with mild-to-moderate symptoms and similar radiological severity

Background and aimsIt is known that the highest COVID-19 mortality rates are among patients who develop severe COVID-19 pneumonia. However, despite the high sensitivity of chest CT scans for diagnosing COVID-19 in a screening population, the appearance of a chest CT is thought to have low diagnostic specificity. The aim of this retrospective case–control study is based on evaluation of clinical and radiological characteristics in patients with COVID-19 (n = 41) and no-COVID-19 interstitial pneumonia (n = 48) with mild-to-moderate symptoms.Methods and resultsTo this purpose we compared radiological, clinical, biochemical, inflammatory, and metabolic characteristics, as well as clinical outcomes, between the two groups. Notably, we found similar radiological severity of pneumonia, which we quantified using a disease score based on a high-resolution computed tomography scan (COVID-19 = 18.6 ± 14.5 vs n-COVID-19 = 23.2 ± 15.2, p = 0.289), and comparable biochemical and inflammatory characteristics. However, among patients without diabetes, we observed that COVID-19 patients had significantly higher levels of HbA1c than n-COVID-19 patients (COVID-19 = 41.5 ± 2.6 vs n-COVID-19 = 38.4 ± 5.1, p = 0.012). After adjusting for age, sex, and BMI, we found that HbA1c levels were significantly associated with the risk of COVID-19 pneumonia (odds ratio = 1.234 [95%CI = 1.051–1.449], p = 0.010).ConclusionsIn this retrospective case–control study, we found similar radiological and clinical characteristics in patients with COVID-19 and n-COVID-19 pneumonia with mild-to-moderate symptoms. However, among patients without diabetes HbA1c levels were higher in COVID-19 patients than in no-COVID-19 individuals. Future studies should assess whether reducing transient hyperglycemia in individuals without overt diabetes may lower the risk of SARS-CoV-2 infection.     

Metabolic syndrome and the risk of COVID-19 infection: A nationwide population-based case-control study

Background and aimsMetabolic syndrome (MetS) is a chronic, low-grade inflammatory disease. This study aimed to investigate the impact of MetS on the risk and severity of COVID-19.Methods and resultsWe investigated a nationwide cohort with COVID-19 including all patients who underwent the test for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in Korea. The COVID-19 group included 4070 patients with positive SARS-CoV-2 test results, and the age- and sex-matched control group included 27,618 subjects with negative SARS-CoV-2 test results. The endpoints were SARS-CoV-2 positivity and the severity of COVID-19. The prevalence of MetS was 24.7% and 24.5% in the COVID-19 and control groups, respectively. The presence of MetS was not associated with the risk of developing COVID-19. Among the components of MetS, central obesity was associated with a higher risk of COVID-19 infection (adjusted odds ratio [aOR], 1.17; 95% confidence interval [CI], 1.06–1.28, P = 0.001). The presence of MetS was significantly associated with severe COVID-19 (aOR, 1.25; 95% CI, 0.78–2.00, P = 0.352). Among the individual components of MetS, prediabetes/diabetes mellitus was associated with a higher risk of severe COVID-19 (aOR, 1.61; 95% CI, 1.21–2.13, P = 0.001). The risk of severe COVID-19 linearly increased according to the number of metabolic components (P for trend = 0.005).ConclusionIn this nationwide cohort study, the individuals with MetS had a significant increase in the risk of severe COVID-19 infection. These patients, particularly those with central obesity and insulin resistance, deserve special attention amid the COVID-19 pandemic.     

Care and Outcomes of ST-Segment Elevation Myocardial Infarction Across Multiple COVID-19 Waves

BackgroundThere are concerns of delays in ST-segment elevation myocardial infarction (STEMI) care during the COVID-19 pandemic. It is unclear whether the care and outcomes of STEMI patients differ between COVID-19 waves and compared with historical periods.MethodsConsecutive patients in the Vancouver Coastal Health Authority STEMI database were included to compare care during 3 distinct waves of the COVID-19 pandemic (9 months; March 2020 to January 2021) with an historical non–COVID-19 cohort. We compared STEMI incidence, baseline characteristics, and outcomes between groups. We also examined time from first medical contact (FMC) to reperfusion, symptom to FMC, and FMC to STEMI diagnosis, as well as predictors of delays.ResultsThe incidence of STEMI was similar during COVID-19 (n = 305; mean 0.93/day) and before COVID-19 (n = 949; 0.97/day; P = 0.80). The COVID-19 cohort showed significant delay in FMC-to-reperfusion (median 116 min vs 102 min; P < 0.001) and FMC-to-STEMI diagnosis (median 17 mins vs 11 min; P < 0.001). Delays in FMC-to-device times worsened across the 3 COVID-19 waves (FMC-to-device time ≤ 90 min in wave 1: 32.9%; in wave 2: 25.6%; in wave 3: 16.3%; P = 0.045 [47.5% before COVID-19; P < 0.001]). There were no significant predictors of delay were unique to the COVID-19 cohort.ConclusionsThis study demonstrates delays in reperfusion during the COVID-19 pandemic compared with the historical control, with delays increasing during subsequent waves within the pandemic. It is critical to further understand these care gaps to improve STEMI care for future waves of the current and future pandemics.     

Clinical characteristics and short-term prognosis of in-patients with diabetes and COVID-19: A retrospective study from an academic center in Belgium

Background and aimsWe describe the characteristics and short-term prognosis of in-patients with diabetes and COVID-19 admitted to a Belgian academic care center.MethodsWe retrospectively reviewed the data on admission from patients with known or newly-diagnosed diabetes and confirmed COVID-19. First, survivors were compared to non-survivors to study the predictive factors of in-hospital death in patients with diabetes. Secondly, diabetic patients with SARS-CoV-2 pneumonia were matched for age and sex with non-diabetic patients with SARS-CoV-2 pneumonia, to study the prognosis and predictive factors of in-hospital death related to diabetes.ResultsSeventy-three diabetic patients were included. Mean age was 69 (±14) years. Women accounted for 52%. Most patients had type 2 diabetes (89.0%), long-term complications of hyperglycemia (59.1%), and hypertension (80.8%). The case-fatality rate (CFR) was 15%. Non-survivors had more severe pneumonia based on imaging (p 0.029) and were less often treated with metformin (p 0.036). In patients with SARS-CoV-2 pneumonia, CFR was 15.6% in diabetic (n = 64) and 25.0% in non-diabetic patients (n = 128), the difference being non-significant (p 0.194). Predictive factors of in-hospital death were elevated white blood cells count (HR 9.4, CI 1.50–58.8, p 0.016) and severe pneumonia on imaging (HR 25.0, CI 1.34–466, p 0.031) in diabetic patients, and cognitive impairment (HR 5.80, CI 1.61–20.9, p 0.007) and cardiovascular disease (HR 5.63, CI 1.54–20.6, p 0.009) in non-diabetic patients.ConclusionIn this monocentric cohort from Belgium, diabetic in-patients with COVID-19 had mostly type 2 diabetes, prevalent hyperglycemia-related vascular complications and comorbidities including hypertension. In this cohort, the CFR was not statistically different between patients with and without diabetes.     

Global research on vitamin D and coronavirus disease 2019: A bibliometric and visualized study

Background and aim:Vitamin D play a substantial role in immune function, but little is known about its prevention in coronavirus disease 2019 (COVID-19). A detail bibliometric analysis of the published scientific literature indexed in Web of Science on vitamin D as a therapeutic option for the COVID-19 patients’ treatment is lacking. Thus, the current study was conducted to determine the key bibliometric indices and plot the global research on vitamin D and COVID-19.Methods:The Web of Science Core Collection database was utilized to retrieve publications on vitamin D and COVID-19. A Boolean search strategy was applied and the obtained data were exported to Microsoft Excel to generate relevant graphs. Furthermore, VOSviewer software version 1.6.17 for Windows was used to generate co-authorship countries, bibliographic coupling sources and co-occurrence keyword network visualization mapping. In addition, RStudio and Bibliometric online tool were used to generate WordCloud and thematic map, and intercountries relation map, respectively.Results:A total of 818 publications on vitamin D and COVID-19 were included in the final analysis. These publications were cited 10,713 times, with an H-index of 50. The number of publications and citations score from 2020 to November 2021 increased from 317 (2423 citations) to 501 (8290 citations). Delanghe JR and Speeckaert MM were the most prolific authors with 13 publications each. The most productive journal was Nutrients (n = 63). The most studied research area is nutrition dietetics. The most widely used author keywords were COVID-19 (n = 444), Vitamin D (n = 312), and SARS-CoV-2 (n = 190). The National Institute of Health and US Department of Health and Human Services were the leading funding agencies. Harvard University was the most active institution with 25 publications. The United States of America was the highly contributing and influential country in terms of publications (n = 203) and total link strength (n = 185).Conclusion:It was concluded that an increasing trend in the number of publications on vitamin D and COVID-19 has been observed. Significantly, the majority of the research has been conducted in developed countries. Most importantly, over the time, the direction of research has been changed and the recent trend topics are vitamin D deficiency, risk and infection, and vitamin D supplementation based on KeyWords Plus. The use of vitamin D supplement is one of the promising therapeutic options for COVID-19 treatment. Therefore, the current study not only highlight the global research trends but also provide standard bibliographic information for future studies.     

Obesity: A potential risk factor for infection and mortality in the current COVID-19 epidemic

Background and aimsCOVID-19 is an ongoing global pandemic, affecting nearly 35 million people from 214 countries as at September 30, 2020 and emerging evidence suggests that obesity is a potential risk factor for communicable diseases, including viral infections. Therefore, we investigated the relationship between obesity prevalence of the total adult population and COVID-19 infection and mortality rates, in different countries.MethodsA total of 54 countries from six continents were selected. Country-specific obesity prevalence data were retrieved from the latest non-communicable diseases profiles released by the Non-communicable Diseases and Mental Health Cluster of World Health Organization, while the real time statistics from the Worldometer website were used to extract data on COVID-19 infections and mortality per million of the total population as of September 30, 2020.ResultsObesity prevalence data ranged from 2.0% (Vietnam) to 35.0% (Saudi Arabia). Among the selected countries, the highest number of COVID-19 cases per million was documented in Qatar (n = 44,789) while the lowest was reported from Vietnam (n = 11). Highest mortality per million population due to COVID-19 infections occurred in Peru (n = 981), in contrast with the smallest number reported in Mongolia (n = 0). A significant positive correlation (r = 0.46; p < 0.001) was observed between the total number of COVID-19 infections and the prevalence of obesity. COVID-19 mortality was also significantly correlated (r = 0.34; p < 0.05) with the prevalence of obesity.ConclusionsObesity prevalence in each country was significantly associated with both infection and mortality rate of COVID-19.     

Safety and reported adverse effects of coronavirus disease-2019 (COVID-19) vaccines in patients with rheumatic diseases

BackgroundCoronavirus disease 2019 (COVID-19) is caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Symptoms and severity of COVID19 are variable.Aim of the workTo evaluate the effectiveness and to identify side effects of the COVID-19 vaccines among Egyptian patients with autoimmune rheumatic diseases (RDs).Patients and methodsThe study included 126 patients with various RDs and 200 control. Detailed medical history was recorded with special concern regarding COVID-19 vaccination, types, doses, side effects, post-vaccination infection and treatment.ResultsIn patients, BBIBP-CorV (Sinopharm) was the most frequent vaccine 42.3 % (n = 52); CoronaVac (Sinovac) 22 % (n = 27); ChAdOx1 (AstraZeneca) 17.9 % (n = 22); BNT162 (Pfizer BioNTech) 14.6 % (n = 18); Sputnik V 1.6 % (n = 2) and Ad26.COV2-S (Johnson & Johnson) 1.6 % (n = 2). Regarding the control, 34.4 % (n = 62) received AstraZeneca; 26.1 % (n = 47) Sinopharm; 16.7 % (n = 30) Pfizer; 11.7 % (n = 21) Sinovac; 6.7 % (n = 12) Sputnik; 3.3 % (n = 6) Johnson & Johnson and 1.2 % (n = 2) mRNA1273 (Moderna). COVID-19 infection decreased after vaccination from 32 (25.4 %) to 7 (5.6 %), and from 162 (81.0 %) to 85 (42.7 %) in RD patients and the control respectively. ICU admission decreased from (6.3 %) among RD patients and from (1.3 %) in control to 0 % after vaccination in both groups. In RD patients, body ache was the commonest reported vaccine adverse effect (44.4 %). Pain at the injection site was the commonest among control (77 %). ChAdOx1 (AstraZeneca) had the highest incidence of side effects, mRNA1273 (Moderna) showed the lowest.ConclusionCOVID-19 vaccine was effective in decreasing infection and disease severity in RDs patients and control, with similar, mild adverse effects.     

Serum gasdermin D levels are associated with the chest computed tomography findings and severity of COVID-19

BackgroundThe role of programmed cell death, especially pyroptosis and apoptosis, in unfavorable immune responses in COVID-19 remains to be elucidated.MethodsWe conducted a cross-sectional analysis to investigate the association between the serum gasdermin D (GSDMD) levels, a pyroptotic marker, and caspase-cleaved cytokeratin 18 fragment (M30), an apoptotic marker, and the clinical status and abnormal chest computed tomography (CT) findings in patients with COVID-19.ResultsIn this study, 46 patients diagnosed with COVID-19 were divided into the following three groups according to the disease severity: mild to moderate group (n = 10), severe group (n = 14), and critical group (n = 22). The serum GSDMD levels were higher in the critical group than in the mild to moderate group (P = 0.016). In contrast, serum M30 levels were lower in the critical group than in the severe group (P = 0.048). Patients who required mechanical ventilation or died had higher serum GSDMD levels than those who did not (P = 0.007). Area of consolidation only and of ground glass opacity plus consolidation positively correlated with serum GSDMD levels (r = 0.56, P < 0.001 and r = 0.53, P < 0.001, respectively).ConclusionHigher serum GSDMD levels are associated with critical respiratory status and the consolidation area on chest CT in patients with COVID-19, suggesting that excessive activation of pyroptosis may affect the clinical manifestations in patients with COVID-19.     

Mapping of global research output in congenital cataracts from 1903 to 2021

Background and aim:Globally, congenital cataract remains one of the main causes of visual loss in children. This study was designed to plot the overall research output and evaluate some key bibliometric indicators in congenital cataracts research.Methods:Publications on congenital cataracts were retrieved from the Web of Science Core Collection database. The published literature was searched using the keywords “congenital cataract” OR “congenital cataracts” in the title filed with document types and language restrictions. The data were exported into HistCite to analyze; publication year, top authors, countries, institutions, journals, keywords, and most cited studies. VOSviewer software was used to construct network visualization mapping.Results:A total of 1427 publications (1903–2021) published in English language were included in this study. Over the past few decades, the total number of publications in congenital cataracts was found to be increased. The most productive year was 2016 (n = 72), while the most cited year was 1941 (1268 citations). The Investigative Ophthalmology & Visual Science (Impact Factor: 4.799) was the most attractive journal with 161 publications, and the Molecular Vision (Impact Factor : 2.367) was the most cited journal with 1915 citations and 161.723 citations per year. The most productive country was the United States of America (USA) (n = 325), while the most active institute was Sun Yat-sen University, China (n = 36). The most prolific author was Yao K (n = 27). The most studied Web of Science category was ophthalmology (n = 852). The most widely used keyword was congenital (n = 1427). The most cited paper in congenital cataracts was “Congenital cataract following German measles in the mother, cited 1268 times. The USA and author keyword congenital cataract had the highest total link strength.Conclusion:These findings provide useful insights, current status, and trends in clinical research in congenital cataracts. This study can be used to identify future research areas and standard bibliography references for better diagnosis and disease control.     

Hand hygiene compliance of healthcare workers before and during the COVID-19 pandemic: A long-term follow-up study

BackgroundInformation about the long-term effects of hand hygiene (HH) interventions is needed. We aimed to investigate the change in HH compliance (HHC) of healthcare workers (HCWs) once a data-driven feedback intervention was stopped, and to assess if the COVID-19 pandemic influenced the HH behavior.MethodsWe conducted an observational, extension trial in a surgical department between January 2019–December 2020. Doctors (n = 19) and nurses (n = 53) were included and their HHC was measured using an electronic HH monitoring system (EHHMS). We compared the changes in HHC during 3 phases: (1) Intervention (data presentation meetings), (2) Prepandemic follow-up and (3) Follow-up during COVID-19.ResultsThe HHC during phase 1 (intervention), phase 2 (prepandemic follow-up) and phase 3 (follow-up during COVID-19) was 58%, 46%, and 34%, respectively. Comparison analyses revealed that the HHC was significantly lower in the prepandemic follow-up period (46% vs 58%, P < .0001) and in the follow-up period during COVID-19 (34% vs 58%, P < .0001) compared with the intervention period (phase 1).ConclusionsDespite the COVID-19 pandemic, the HHC of the HCWs significantly decreased over time once the data presentation meetings from management stopped. This study demonstrates that HCWs fall back into old HH routines once improvement initiatives are stopped.