Double burden of malnutrition among women of reproductive age: Trends and determinants over the last 15 years in India.

INTRODUCTION: Double burden of malnutrition (DBM) has been recognized by the World Health Organisation (WHO) as an emerging Global Syndemic characterized by the simultaneous occurrence of both undernutrition and overnutrition. Women of the reproductive age group (15 to 49 years) are disproportionately affected by DBM and are at high risk of continuing the intergenerational cycle of malnutrition. This study aims to assess the changing trends and determinants of DBM among women of the reproductive age group in India. MATERIALS AND METHODS: We used data from three rounds of National Family Health Surveys (NFHS-3,4,5) conducted in years 2005-06, 2015-16, and 2019-2021. Descriptive statistics and Poisson regression analysis were done using weights with log link function. RESULTS: The prevalence of anaemia, underweight and overweight/obesity was 57.2%, 18.6% and 24% respectively. The combined burden of underweight and anaemia has declined by 46% (21.6% to 11.7%), whereas the combined burden of overweight/obesity and anaemia has increased by 130% (5.4% to 12.4%) in the past 15 years. The prevalence of DBM, which includes both underweight and overweight/obesity with anaemia was 24.1% in 2021, a decline of 11% in 15 years. Women who were younger, rural, less educated, poor and middle class, and women living in the eastern, western and southern regions of India had higher risk for being underweight with anaemia and lower risk for developing overweight/obesity with anaemia. CONCLUSION: The significant decrease in underweight yet enormous increase in overweight/obesity over the past 15 years with the persistence of anaemia in both ends of the nutritional spectrum is characteristic of the new nutritional reality emphasizing the need to address malnutrition in all its forms. It is critical to consider geography and a population specific, double-duty targeted intervention to holistically address the risk factors associated with DBM and accomplish India's commitment to the global agenda of Sustainable Development Goals-2030.

Effectiveness of collaborative tele-mental health care for children with attention deficit hyperactivity disorder in United Arab Emirates.

Background: Attention deficit hyperactivity disorder is a common neurodevelopmental disorder. Accessing services for this disorder is a worldwide challenge and requires innovative interventions. Aims: We aimed to investigate the effectiveness of tele-collaborative care for attention deficit hyperactivity disorder in primary health care centres in Dubai. Methods: Six trained physicians started collaborative care clinics across Dubai. Eligible children aged 6-12 years attending primary health care centres with attention deficit hyperactivity disorder were randomly selected to receive telehealth collaborative care, or standard treatment. Baseline assessments were conducted using the Vanderbilt Behavioral Assessment Scale, the Columbia Impairment Scale, the Childhood Behavior Checklist, and the Strength and Difficulties Questionnaire. Waiting times and clinical and functional outcomes were measured in both groups and compared. Continuous variables were presented as means and standard deviations, categorical variables such as sex were presented as numbers and percentages, and continuous outcome variables were compared using the Student t-test. Results: Among the referred children (n = 112), 11 boys and 6 girls met the eligibility criteria (mean age 7.8 years). The dropout rate at 6 months in the control group was 80%, compared with 50% in the intervention group. The mean waiting time was significantly shorter in the intervention group (1.3 weeks) than the control group (7.1 weeks); P = 0.026. The mean difference in the Childhood Behavior Checklist total score over time was significantly higher in the intervention group (P = 0.042), but the mean difference in the Vanderbilt scale was not significant. Conclusion: Tele-collaborative care for children with attention deficit hyperactivity disorder within primary health care is feasible.

Clinical learning environments across two different healthcare settings using the undergraduate clinical education environment measure.

BACKGROUND: The clinical placements of our medical students are almost equally distributed across private and public sectors. This study aims to assess medical students' perceptions of their Clinical learning Environment (CLE) across these two different healthcare settings, using the Undergraduate Clinical Education Environment Measure (UCEEM). METHODS: 76 undergraduate medical students (Year 5 and 6), were invited to participate. Data were collected using an online UCEEM with additional questions related to demographics and case load exposure. The UCEEM consists of two overarching domains of experiential learning and social participation, with four subdomains of learning opportunities, preparedness, workplace interaction, and inclusion. RESULTS: 38 questionnaires were received. Of 225 responses to the individual UCEEM items, 51 (22.6%) scored a mean of ≥ 4 (range 4-4.5, representing strong areas), 31 (13.7%) scored a mean of ≤ 3 (range 2.1-3, needing attention) and 143 (63.6%) scored a mean of 3.1-3.9 (areas that could be improved). The majority (63%) of the case load exposure responses scored a mean of ≥ 4 (range 4-4.5). Compared to the private sittings, there is a significant reduction in total UCEEM (p = 0.008), preparedness for student entry (p = 0.003), and overarching dimension of social participation (p = 0.000) scores for the public sector. Similarly, both workplace interaction patterns and student inclusion and equal treatment scored significantly lower for the public sector (p = 0.000 and p = 0.011 respectively). Two out of three case load exposure items scored significantly higher for the public sector (p = 0.000). DISCUSSION: The students' CLE perceptions were generally positive. The lower UCEEM ratings in the public sector items were related to student entry preparedness, workplace interactions, student inclusiveness and workforce equity of treatment. In contrast the students were exposed to more variety and larger number of patients in the public sector. These differences indicated some significantly different learning environments between the two sectors.

COVID-19 Case Management Outcomes Amongst Diabetes and Hypertensive Patients in the United Arab Emirates: A Prospective Study.

The global pandemic of the novel Coronavirus infection 2019 (COVID-19) challenged the care of comorbid patients. The risk imposed by COVID-19 on diabetes patients is multisystemic, exponential, and involves glucose dysregulation. The increased burden for diabetes patients infected with COVID-19 is substantial in countries with a high prevalence of diabetics, such as the United Arab Emirates (UAE). This study aims to explore the prevalence of diabetes, clinical characteristic, and outcomes of patients admitted for COVID-19 treatment with or without a concurrent preadmission diagnosis of diabetes. A prospective study was performed on 1199 adults admitted with confirmed COVID-19 from December 2020 to April 2021 to a single hospital in the UAE. The study compared the demographics, clinical characteristics, and outcomes in COVID-19-infected patients with diabetes to patients without diabetes. The study endpoints include the development of new-onset diabetes, admission to ICU, trends in the blood glucose levels, and death. A total of 1199 patients (390 with diabetes) were included in the study. A diabetes prevalence was detected among 9.8% of the study population. Among the diabetes group, 10.8% were morbidly obese, 65.4% had associated hypertension, and 18.9% had coronary artery disease. Diabetes patients showed higher rates of ICU admission (11.1% vs. 7.1%), NIV requirement (9.6% vs. 6.4%), and intubation (5.45% vs. 2%) compared to the non-diabetes group. Advanced age was a predictor of a worsening COVID-19 course, while diabetes (p < 0.050) and hypertension (p < 0.025) were significant predictors of death from COVID-19. Nearly three-fourths (284 (73.4%)) of the diabetic patients developed worsened hyperglycemia as compared to one-fifth (171 (20.9%)) of the nondiabetic patients. New-onset diabetes was detected in 9.8% of COVID-19 patients. COVID-19 severity is higher in the presence of diabetes and is associated with worsening hyperglycemia and poor clinical outcomes. Preexisting hypertension is a predictor of COVID-19 severity and death.

The clinical demand and supply of blood in India: A National level estimation study.

BACKGROUND: Estimating the clinical demand for blood and components arising in a health facility is crucial to ensure timely availability of blood. This study aims to estimate disease-specific clinical demand, supply and utilization of whole blood and components in India. METHODS: We conducted a national level cross-sectional study in five randomly selected states from five regions of the country. We included 251 public and private facilities representing primary, secondary and tertiary care facilities. We collected annual disease-specific demand, supply and utilization of blood and components using a structured tool. We estimated the national demand by extrapolating the study data (demand and beds) to the total number of estimated beds in the country. FINDINGS: According to the study, the total clinical demand of 251 health facilities with 51,562 beds was 474,627 whole blood units. Based on this, the clinical demand for India was estimated at 14·6 million whole blood units (95 CI: 14·59-14·62), an equivalent of 36·3 donations per 1,000 eligible populations, which will address whole blood and component requirement. The medicine specialty accounted for 6·0 million units (41·2%), followed by surgery 4·1 million (27·9%), obstetrics and gynecology 3·3 million (22·4%) and pediatrics 1·2 million (8·5%) units. The supply was 93% which is equivalent to 33·8 donations against the demand. CONCLUSION: The study indicated a demand and supply gap of 2.5 donations per 1,000 eligible persons which is around one million units. The gap emphasises the need for sustained and concerted efforts from all stakeholders and for increasing the awareness about repeat voluntary non-remunerated blood donation (VNRBD); optimizing the availability of blood components through efficient blood component separation units; promoting modern principles of patient blood management and strengthening capacities of human resources in the blood transfusion system in India.

Knee meniscal retears after repair: A systematic review comparing diagnostic imaging modalities.

The meniscus is a relatively avascular fibrocartilaginous structure that provides a key role in shock absorption and load transmission. However, accurate diagnosis of meniscal retear can present a clinical challenge. The purpose of this study was to conduct a systematic review on the available literature, which compare the sensitivities, specificities, and accuracies of different diagnostic modalities of diagnosing knee meniscal retears in patients who have undergone surgical meniscal repair, such as Magnetic Resonance Imaging (MRI), Magnetic Resonance Arthrography with intraarticular contrast (direct MRA), and a combination of MRI and direct MRA. Two authors independently searched two databases (PubMed and Scopus) for literature related to knee meniscus retear according to the PRISMA guidelines. Four studies were found, which resulted in 291 patients with 293 menisci. All studies were published in 2008 and 2014. In our analysis, we calculated sensitivity to be 78.79% (95% CI, 64.07-93.51), specificity to be 56.58% (95% CI, 20.21-92.94), and overall accuracy to be 66.25% (95% CI, 54.29-78.22) for MRI and sensitivity to be 87.84% (95% CI, 83.93-91.74), specificity to be 88.68% (95% CI, 81.93-95.43), and overall accuracy to be 87.22% (95% CI, 82.22-91.62) for direct MRA. We recommend the use of direct MRA for the diagnosis of meniscal retears due to its higher sensitivity, specificity, and accuracy as compared to MRI and its reduced cost and invasive nature as compared to second-look arthroscopy. However, our review is limited by the number of studies available on this topic. More studies using study designs such as randomized controlled trials, involving MRI, direct MRA, and combinations of such techniques, should be performed to accurately assess the different techniques and aid in designing guidelines to guide the diagnosis of meniscal retears following meniscal repair.

Prolonged corrected QT interval in hospitalized patients with coronavirus disease 2019 in Dubai, United Arab Emirates: a single-center, retrospective study.

OBJECTIVE: To evaluate the association of a prolonged corrected QT (QTc) interval in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and its association with in-patient mortality. METHODS: A cohort of 745 patients were recruited from a single center between 1 March 2020 and 31 May 2020. We analyzed the factors associated with a prolonged QTc and mortality. RESULTS: A prolonged QTc interval >450 ms was found in 27% of patients admitted with SARS-CoV-2 infection. These patients were predominantly older, on a ventilator, and had hypertension, diabetes mellitus, or ischemic heart disease. They also had high troponin and D-dimer concentrations. A prolonged QTc interval had a significant association with the requirement of ventilator support and was associated with an increased odds of mortality. Patients who died were older than 55 years, and had high troponin, D-dimer, creatinine, procalcitonin, and ferritin concentrations, a high white blood cell count, and abnormal potassium concentrations (hypo- or hyperkalemia). CONCLUSIONS: A prolonged QTc interval is common in patients with SARS-CoV-2 infection and it is associated with worse outcomes. Older individuals and those with comorbidities should have an electrocardiogram performed, which is noninvasive and easily available, on admission to hospital to identify high-risk patients.

Utility of oral glucose tolerance test in predicting type 2 diabetes following gestational diabetes: Towards personalized care.

BACKGROUND: Women with gestational diabetes mellitus (GDM) are at a seven-fold higher risk of developing type 2 diabetes (T2D) within 7-10 years after childbirth, compared with those with normoglycemic pregnancy. Although raised fasting blood glucose (FBG) levels has been said to be the main significant predictor of postpartum progression to T2D, it is difficult to predict who among the women with GDM would develop T2D. Therefore, we conducted a cross-sectional retrospective study to examine the glycemic indices that can predict postnatal T2D in Emirati Arab women with a history of GDM. AIM: To assess how oral glucose tolerance test (OGTT) can identify the distinct GDM pathophysiology and predict possible distinct postnatal T2D subtypes. METHODS: The glycemic status of a cohort of 4603 pregnant Emirati Arab women, who delivered in 2007 at both Latifa Women and Children Hospital and at Dubai Hospital, United Arab Emirates, was assessed retrospectively, using the International Association of Diabetes and Pregnancy Study Groups (IADPSG) criteria. Of the total, 1231 women were followed up and assessed in 2016. The FBG and/or the 2-h blood glucose (2hrBG) levels after a 75-g glucose load were measured to assess the prevalence of GDM and T2D, according to the IADPSG and American Diabetes Association (ADA) criteria, respectively. The receiver operating characteristic curve for the OGTT was plotted and sensitivity, specificity, and predictive values of FBG and 2hrBG for T2D were determined. RESULTS: Considering both FBG and 2hrBG levels, according to the IADPSG criteria, the prevalence of GDM in pregnant Emirati women in 2007 was 1057/4603 (23%), while the prevalence of pre-pregnancy T2D among them, based on ADA criteria, was 230/4603 (5%). In the subset of women (n = 1231) followed up in 2016, the prevalence of GDM in 2007 was 362/1231 (29.6%), while the prevalence of pre-pregnancy T2D was 36/1231 (2.9%). Of the 362 pregnant women with GDM in 2007, 96/362 (26.5%) developed T2D; 142/362 (39.2%) developed impaired fasting glucose; 29/362 (8.0%) developed impaired glucose tolerance, and the remaining 95/362 (26.2%) had normal glycemia in 2016. The prevalence of T2D, based on ADA criteria, stemmed from the prevalence of 36/1231 (2.9%) in 2007 to 141/1231 (11.5%), in 2016. The positive predictive value (PPV) for FBG suggests that if a woman tested positive for GDM in 2007, the probability of developing T2D in 2016 was approximately 24%. The opposite was observed when 2hrBG was used for diagnosis. The PPV value for 2hrBG suggests that if a woman was positive for GDM in 2007 then the probability of developing T2D in 2016 was only 3%. CONCLUSION: FBG and 2hrBG could predict postpartum T2D, following antenatal GDM. However, each test reflects different pathophysiology and possible T2D subtype and could be matched with a relevant T2D prevention program.

Rezum Therapy for Benign Prostatic Hyperplasia: Dubai's Initial Experience.

Introduction Symptomatic benign prostatic hyperplasia (BPH) is a condition that affects middle-aged men, leading to a decreased quality of life secondary to symptoms of difficult urination, urinary frequency, urgency and nocturia. The treatment modalities of this pathology include pharmacologic and invasive interventions, both of which vary in effectiveness and they come with a myriad of side effects. Recent advancements have allowed for the development of Rezum, a minimally invasive and effective approach to treating BPH while maintaining a good safety profile with comparable outcomes to other treatment modalities. Methods We retrospectively identified 49 patients with symptomatic BPH who underwent Rezum therapy in one center in Dubai, the United Arab Emirates between January and December 2020. We assessed several parameters related to their condition including prostate volume, pre-operative and post-operative post-void residual (PVR) and peak urinary flow (Qmax) number of treatments given, trial without catheter and mean date of follow-up. Safety and side effects were also assessed. Result Our sample included symptomatic men with a mean age of 64 (10) who had a mean follow-up time of three months (IQR 2-5.2), median prostatic volume of 58 cc (IQR 44-82) and a mean of (SD 33.9). The initial Qmax and PVR were 7.3 ml/s (IQR 5.5-10.3) and 80.4 cm3 (IQR 43.4-120.0) respectively, and post-operative Qmax and PVR were 16.3 ml/s (SD 5.7) and 20.7 cm3 (IQR 16.2-28.2). Post-operatively, we observed a significant increase in Qmax of 8.11 ml/s (p=0.001) post-operatively, a mean decrease of 94.32 cm3 (p=0.001) in PVR. The favorable outcome parameters in Qmax and PVR demonstrate the efficacy of this procedure. We have also noted that the change in Qmax and PVR does not vary by initial prostate volume. Conclusion In this report, we aimed to highlight the benefit, efficacy and safety of offering Rezum to patients with symptomatic BPH in a single center in Dubai, reporting on the first United Arab Emirates experience with this novel procedure. This procedure confers the benefit of being minimally invasive, safe and effective, and with lower rates of sexual dysfunction compared to medical therapy or trans-urethral resection of the prostate (TURP). It is associated with similar outcomes to TURP, and an improvement in quality of life, while carrying a low-risk profile. Our experience corresponds with the available literature regarding the efficacy and satisfaction rates of Rezum for BPH patients. We hope that results from this study encourage further investigation into the long-term implications of Rezum, up to five years post-operatively.

Predicting antitubercular drug-induced liver injury and its outcome and introducing a novel scoring system.

Background: Tuberculosis (TB) is a major global health problem, mainly in developing countries. Despite the availability of highly effective first-line antitubercular (ATT) drugs, ATT drug-induced liver injury (ATT DILI) leads to treatment interruption and consequently loss of therapeutic efficacy. Methods: In this prospective cohort study from India, all consecutive patients who met inclusion criteria and started on ATT were included. The incidence, risk factors, and outcome of ATT DILI were determined. A clinical prediction score for ATT DILI was derived. Results: A total of 393 patients were included. The incidence of ATT DILI was 9.7% (95% confidence interval 7%-13.2%). HIV infection, daily regimen, disseminated disease, and chronic liver disease were identified as significant risk factors (P < 0.05) for developing DILI. A prediction score derived from the risk factors showed that a score of >5 could predict DILI with a sensitivity of 74% and a specificity of 67%. All-cause mortality in DILI was 4.7%. Conclusion: The incidence of ATT DILI was 9.7% in our cohort with higher incidence among the patients on daily regimen. The study suggests that the combination of risk factors of extensive TB disease, HIV infection, chronic liver disease, and under nutrition increases the vulnerability to DILI, particularly with daily treatment regimen, emphasizing the role of acquired risk factors in the development of DILI.

A national level estimation of population need for blood in India.

BACKGROUND: The population need for blood is the total volume required to transfuse all the individuals who need transfusion in a defined population over a defined period. The clinical demand will arise when people with a disease or condition who require transfusion, access healthcare services, and subsequently the clinicians request blood. Essentially, the conversion of need to demand must be maximum to avoid preventable mortality and morbidity. The study estimated the population need for blood in India. METHODS: The methodology included a comprehensive literature review to determine the diseases and conditions requiring transfusion, the population at risk, and prevalence or incidence; and Delphi method to estimate the percentage of people requiring transfusion, and the quantum. RESULTS: The estimated annual population need was 26.2 million units (95% CI; 17.9-38.0) of whole blood to address the need for red cells and other components after the separation process. The need for medical conditions was 11.0 million units (95% CI:8.7-14.7), followed by surgery 6.6 million (95% CI:3.8-10.0), pediatrics 5.0 million (95% CI:3.5-7.0), and obstetrics and gynecology 3.6 million units (95% CI:1.9-6.2). The gap between need and demand which depends upon the access and efficiency of healthcare service provision was estimated at 13 million units. CONCLUSION: The study brings evidence to highlight the gap between need and demand and the importance of addressing it. It cannot be just the responsibility of blood transfusion or health systems, it requires a multi-sectoral approach to address the barriers affecting the conversion of need to clinical demand for blood.

The Role of Frozen Section in the Rapid Diagnosis of Severe Cutaneous Adverse Drug Reactions.

CONTEXT: Early diagnosis is the mainstay in the management of severe cutaneous adverse reactions (SCARs) to drugs. AIMS: To study the role of frozen section in the rapid diagnosis of SCARs and the impact on outcome of the affected patients. SETTINGS AND DESIGN: A single-blind, hospital-based study was conducted from December 2014-July 2016. METHODS AND MATERIAL: We biopsied 32 adults with SCARs diagnosed by clinical features and standard criteria. The histopathological features seen on frozen sections were compared to that of paraffin blocks. The impact of rapid diagnosis on the clinical outcome was studied in toxic epidermal necrolysis (TEN), Stevens-Johnson syndrome (SJS), drug rash with eosinophilia and systemic symptoms (DRESS) and acute generalized exanthematous pustulosis (AGEP). STATISTICAL ANALYSIS: Z test was used to compare two proportions. Kappa statistic, sensitivity, specificity, positive predictive value, and negative predictive value of the frozen section diagnosis were calculated in TEN/SJS and DRESS using MedCalc software. RESULTS: Frozen and paraffin sections were done in TEN/SJS spectrum (13), DRESS (17), and AGEP (2). The sensitivity, specificity and kappa values for frozen section diagnosis in SJS/TEN and DRESS were 91.7%, 95%, 0.867 and 94.4%, 100%, 0.937 respectively. The concordance between frozen and paraffin section diagnosis was 100% in TEN, SJS, DRESS and AGEP. All the 6 patients with TEN and 2 with AGEP survived. Taking the worst-case scenario, the mortality in SJS was 28.6%. The mortality among patients with DRESS was 11.8%. CONCLUSIONS: Frozen section helps in the rapid diagnosis and early treatment of SCARs and differentiates it from diseases that mimic it.

Combination of obesity and co-morbidities leads to unfavorable outcomes in COVID-19 patients.

OBJECTIVE: Obesity has been described as a significant independent risk factors of COVID-19. We aimed to study the association between obesity, co-morbidities and clinical outcomes of COVID-19. METHODS: Clinical data from 417 patients were collected retrospectively from the Al Kuwait Hospital, Ministry of Health and Prevention (MOHAP), Dubai, United Arab Emirates, who were admitted between March and June 2020. Patients were divided according to their body mass index (BMI). Various clinical outcomes were examined: presenting symptoms, severity, major co-morbidities, ICU admission, death, ventilation, ARDS, septic shock and laboratory parameters. RESULTS: The average BMI was 29 ± 6.2 kg/m2. BMI alone was not associated with the outcomes examined. However, class II obese patients had more co-morbidities compared to other groups. Hypertension was the most significant co-morbidity associated with obesity. Patients with BMI above the average BMI (29 kg/m2) and presence of underlying co-morbidities showed significant increase in admission to ICU compared to patients below 29 kg/m2 and underlying co-morbidities (21.7% Vs. 9.2%), ARDS development (21.7% Vs. 10.53%), need for ventilation (8.3% Vs. 1.3%), and mortality (10% Vs. 1.3%). CONCLUSIONS: Our data suggests that presence of underlying co-morbidities and high BMI work synergistically to affect the clinical outcomes of COVID-19.

Management of relapse in acute promyelocytic leukaemia treated with up-front arsenic trioxide-based regimens.

The standard of care for patients with acute promyelocytic leukaemia (APL) relapsing after front-line treatment with arsenic trioxide (ATO)-based regimens remains to be defined. A total of 67 patients who relapsed after receiving ATO-based up-front therapy and were also salvaged using an ATO-based regimen were evaluated. The median (range) age of patients was 28 (4-54) years. While 63/67 (94%) achieved a second molecular remission (MR) after salvage therapy, three (4·5%) died during salvage therapy. An autologous stem cell transplant (auto-SCT) was offered to all patients who achieved MR, 35/63 (55·6%) opted for auto-SCT the rest were administered an ATO + all-trans retinoic acid maintenance regimen. The mean (SD) 5-year Kaplan-Meier estimate of overall survival and event-free survival of those who received auto-SCT versus those who did not was 90·3 (5·3)% versus 58·6 (10·4)% (P = 0·004), and 87·1 (6·0)% versus 47·7 (10·3)% (P = 0·001) respectively. On multivariate analysis, failure to consolidate MR with an auto-SCT was associated with a significantly increased risk of relapse [hazard ratio (HR) 4·91, 95% confidence interval (CI) 1·56-15·41; P = 0·006]. MR induction with ATO-based regimens followed by an auto-SCT in children and young adults with relapsed APL who were treated with front-line ATO-based regimens was associated with excellent long-term survival.

Who is dying from COVID-19 and when? An Analysis of fatalities in Tamil Nadu, India.

BACKGROUND: As the number of COVID-19 cases continues to rise, public health efforts must focus on preventing avoidable fatalities. Understanding the demographic and clinical characteristics of deceased COVID-19 patients; and estimation of time-interval between symptom onset, hospital admission and death could inform public health interventions focusing on preventing mortality due to COVID-19. METHODS: We obtained COVID-19 death summaries from the official dashboard of the Government of Tamil Nadu, between 10th May and July 10, 2020. Of the 1783 deaths, we included 1761 cases for analysis. RESULTS: The mean age of the deceased was 62.5 years (SD: 13.7). The crude death rate was 2.44 per 100,000 population; the age-specific death rate was 22.72 among above 75 years and 0.02 among less than 14 years, and it was higher among men (3.5 vs 1.4 per 100,000 population). Around 85% reported having any one or more comorbidities; Diabetes (62%), hypertension (49.2%) and CAD (17.5%) were the commonly reported comorbidities. The median time interval between symptom onset and hospital admission was 4 days (IQR: 2, 7); admission and death was 4 days (IQR: 2, 7) with a significant difference between the type of admitting hospital. One-fourth of (24.2%) deaths occurred within a day of hospital admission. CONCLUSION: Elderly, male, people living in densely populated areas and people with underlying comorbidities die disproportionately due to COVID-19. While shorter time-interval between symptom onset and admission is essential, the relatively short time interval between admission and death is a concern and the possible reasons must be evaluated and addressed to reduce avoidable mortality.

Cerebral Venous Thrombosis, Seasonal Trends, and Climatic Influence: A Region-SpecificStudy.

BACKGROUND AND PURPOSE: Studies looking at seasonal variation on cerebral venous thrombosis (CVT) are few with conflicting conclusions. In this region-specific study, we looked for climatic influence and seasonal trends on the incidence of CVT. METHODS: Imaging proven adult CVT cases treated over a period of 18 years from a specific geographical location with similar seasons and climatic conditions were studied. Metrological parameters prepared using 30 years of data was used. Quantum geographical information system (QGIS software) and SPSS v 22 were used for patient plotting and analysis. RESULTS: Total of 970 cases were studied. The incidence was significantly higher in summer 411 (42.3%) compared with autumn 317 (32.7%) and winter 242 (25.05); P = 0.038. This trend was consistent across all the 18 years in time series analysis. Mean age was 33.5 years (range 18-88 years). A significant majority 673 (69.4%) were below 40 years of age; P = 0.012. Females constituted 394 (40.6%) of cases. Postpartum CVT cases constituted 237 (30%). Interaction analysis showed younger age (<40 years) were more vulnerable for CVT in summer; P = 0.009. There was no seasonal influence on postpartum CVT. Apart for a weak positive correlation between rain fall (r = 0.18, P < 0.01); humidity and cloud cover was not influencing the incidence. CONCLUSIONS: Higher ambient temperatures were consistently associated with higher incidence of CVT. This is the largest region-specific study on CVT in the world. These results may be applicable to other regions with similar climatic conditions.

Demystifying the varying case fatality rates (CFR) of COVID-19 in India: Lessons learned and future directions.

INTRODUCTION: At the end of the second week of June 2020, the SARS-CoV-2 responsible for COVID-19 infected above 7.5 million people and killed over 400,000 worldwide. Estimation of case fatality rate (CFR) and determining the associated factors are critical for developing targeted interventions. METHODOLOGY: The state-level adjusted case fatality rate (aCFR) was estimated by dividing the cumulative number of deaths on a given day by the cumulative number confirmed cases 8 days before, which is the average time-lag between diagnosis and death. We conducted fractional regression analysis to determine the predictors of aCFR. RESULTS: As of 13 June 2020, India reported 225 COVID-19 cases per million population (95% CI:224-226); 6.48 deaths per million population (95% CI:6.34-6.61) and an aCFR of 3.88% (95% CI:3.81-3.97) with wide variation between states. High proportion of urban population and population above 60 years were significantly associated with increased aCFR (p=0.08, p=0.05), whereas, high literacy rate and high proportion of women were associated with reduced aCFR (p<0.001, p=0.03). The higher number of cases per million population (p=0.001), prevalence of diabetes and hypertension (p=0.012), cardiovascular diseases (p=0.05), and any cancer (p<0.001) were significantly associated with increased aCFR. The performance of state health systems and proportion of public health expenditure were not associated with aCFR. CONCLUSIONS: Socio-demographic factors and burden of non-communicable diseases (NCDs) were found to be the predictors of aCFR. Focused strategies that would ensure early identification, testing and effective targeting of non-literate, elderly, urban population and people with comorbidities are critical to control the pandemic and fatalities.