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Background and Aim: By this time, the world has already witnessed catastrophic effects of the pandemic on economic and healthcare services infrastructure, from India the scientific publications documenting this effect are quite sparse. The current report aims to compile the socio-economic, demographic and healthcare services transactions among the population in the non-governmental organization (NGO) supported areas of Gujarat state. Methods: The data were collected by human research of the NGO from Sanand, Mundra and Ahmedabad sites at three different time intervals - pre-lockdown, during lockdown and post-lockdown. Results: The findings of the study reported a clear increase in availing of healthcare services in all three study sites covered under the programmes of the NGO. It was clearly evident that the impact of lockdown on the livelihood of the population in all three sites was devastating with a significant proportion of individuals losing their jobs. However, the majority of the people were able to rejoin the jobs (though with lower average income) in all three sites. During the lockdown, people heavily relied on stored food sources such as grains and pulses and consumption of fresh vegetables and fruits reduced significantly. Lockdown has severely hampered essential maternal and child care services which were remarkably improved in the months of post-lockdown. A considerable number of the family had to mortgage their assets during the lockdown. The mortgage proportion varied widely (3-58%) among all the study sites. Conclusion: It was observed that in the unprecedented time, the national lockdown was a challenging time, where there was a drastic shift in the livelihood profile of the population due to significant loss of jobs. Lockdown has also severely affected the essential healthcare services coverage; however, with efforts from the government and the NGO, it was restored to a near pre-lockdown situation in all three sites.
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Introduction: COVID-19, a multisystem disease, has implications for various immunity and infection biomarkers. Yoga (Y), meditation (M), and pranayama (P), and their combinations have shown positive changes on those biomarkers among other than COVID-19 patients and healthy people. So, we aimed to document the evidence of possible implication in a systematic way. Materials and Methods: We screened 84 full texts, published in the last ten years, from three databases, from which only 44 met the eligibility criteria, and then extracted the data related to demographic characteristics, intervention, results, and strengths and limitations in two MS-Excel grids, and then presented them in tables and figures. Furthermore, we carried out meta-analysis including subgroup and sensitivity analysis using a random effects model of 11 RCTs and reported the mean difference, heterogeneity, and p value with 95% CI and presented them with forest and funnel plots and the tables. Results: Twenty-five biomarkers of 4023 participants (range, 15-413) from 13 countries, healthy and clinical, from both sexes above 18 years, and from mainly clinical settings, were reported. YMP intervention, in solitary or in different possible combinations with varied durations among clinical and pregnant (range, 960-4800 minutes) and healthy (960-8400 minutes, excluding two studies of 20 minutes only) participants, was reported. It was revealed that 25 biomarkers, nine among the apparently healthy, 14 among the patients, and two among the pregnant, changed favourably (p < 0.05). Furthermore, either in meta- or subgroup-analysis, mean differences of IL-6 (-1.44 pg/ml) (95% CI) (-2.33, -0.55), (p = 0.002, I 2 = 82%), Cortisol (-40.75 pg/ml) (95% CI) (-64.13, -17.38), (p = 0.0006, I 2 = 87%), and TNF-α (-3.40 pg/ml) (95% CI) (-4.83, -1.98), (p < 0.0001, I 2 = 79%) showed statistically significant changes. Nonetheless, considerable heterogeneity and publication bias were observed among the studies. Conclusion: Although more than two dozens of biomarkers in individual studies showed favourable changes, only IL-6, Cortisol, and TNF-α produced significant combined results, even then with much less certainty. Further meta-analysis of biomarkers of COVID-19 patients is highly recommended. Registration: CRD42021283894.
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Context: Mucormycosis has been increasingly described in the coronavirus disease (COVID-19) era, however, there is a lack of robust epidemiological studies to understand the predictors for the development of mucormycosis from India. Aims: To document the risk factors of mucormycosis with or without COVID-19 and estimate the strength of association of various risk factors. Settings and Design: A case-control study was conducted in the Ahmedabad districts of Gujarat from June to August 2021. Methods and Material: One hundred participants (25 cases with mucor, 75 without mucor) were enrolled in the study. The cases and controls were then matched based on age and gender. Ethical approval was sought from the Institutional Ethics Committee of the Indian Institute of Public Health Gandhinagar, Gujrat, India. Statistical Analysis Used: Data were collected using the Epi Collect 5 application, and the descriptive, inferential analysis was done using the SPSS version 21 statistical software. Results: About 68% of the cases were from a rural area and had past comorbidity conditions. About 80% of the cases reported a previous history of COVID-19, whereas 67% of the controls reported the same. The factors which remained significant after applying the hierarchical model were rural residents (OR = 3.2 [95% CI: 1.05-10.3]) and history of oxygen therapy (OR = 5.42 [95% CI: 1.24-23.8]). Conclusions: This study concludes that mucormycosis is independent of the COVID-19 status. Rural residents and oxygen therapy were found to be the most significant risk factors for mucormycosis. The findings of this study are also not conclusive to establish an association; thus, further exploration and in-depth research with larger samples are recommended.
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Introduction COVID-19, a multisystem disease, has implications for various immunity and infection biomarkers. Yoga (Y), meditation (M), and pranayama (P), and their combinations have shown positive changes on those biomarkers among other than COVID-19 patients and healthy people. So, we aimed to document the evidence of possible implication in a systematic way. Materials and Methods We screened 84 full texts, published in the last ten years, from three databases, from which only 44 met the eligibility criteria, and then extracted the data related to demographic characteristics, intervention, results, and strengths and limitations in two MS-Excel grids, and then presented them in tables and figures. Furthermore, we carried out meta-analysis including subgroup and sensitivity analysis using a random effects model of 11 RCTs and reported the mean difference, heterogeneity, and p value with 95% CI and presented them with forest and funnel plots and the tables. Results Twenty-five biomarkers of 4023 participants (range, 15–413) from 13 countries, healthy and clinical, from both sexes above 18 years, and from mainly clinical settings, were reported. YMP intervention, in solitary or in different possible combinations with varied durations among clinical and pregnant (range, 960–4800 minutes) and healthy (960–8400 minutes, excluding two studies of 20 minutes only) participants, was reported. It was revealed that 25 biomarkers, nine among the apparently healthy, 14 among the patients, and two among the pregnant, changed favourably (p < 0.05). Furthermore, either in meta- or subgroup-analysis, mean differences of IL-6 (−1.44 pg/ml) (95% CI) (−2.33, −0.55), (p = 0.002, I2 = 82%), Cortisol (−40.75 pg/ml) (95% CI) (−64.13, −17.38), (p = 0.0006, I2 = 87%), and TNF-α (−3.40 pg/ml) (95% CI) (−4.83, −1.98), (p < 0.0001, I2 = 79%) showed statistically significant changes. Nonetheless, considerable heterogeneity and publication bias were observed among the studies. Conclusion Although more than two dozens of biomarkers in individual studies showed favourable changes, only IL-6, Cortisol, and TNF-α produced significant combined results, even then with much less certainty. Further meta-analysis of biomarkers of COVID-19 patients is highly recommended. Registration: CRD42021283894.
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Objective The COVID-19 public health emergency (PHE) has important implications for health care service delivery. Little is understood about how the PHE impacted community-based hospice providers and service delivery to hospice-eligible beneficiaries. The aim of this study was to describe hospice response to the PHE and correlated impacts on beneficiary receipt of hospice support services delivered to hospice-eligible beneficiaries participating in the Centers for Medicare & Medicaid Services (CMS) Medicare Care Choices Model (MCCM), a national model testing the provision of certain hospice-like supportive services with concurrent usual care among seriously ill, community-residing Medicare beneficiaries that have not elected to receive hospice care. Methods We employed descriptive analysis using concurrent qualitative and quantitative data sources, consisting of provider surveys, beneficiary-level encounter data submitted by hospices, and Medicare administrative claims describing beneficiary service utilization. The sample included both hospice providers (N = 82) and beneficiaries (N = 2294) voluntarily participating in MCCM. Results Nearly all participating MCCM hospices adopted operational changes to address their staff and beneficiaries’ safety during the COVID-19 PHE. We report changes to service delivery, including declines in total encounters as well as service modality, and the types of services provided. Conclusions While the analyses reported indicate that seriously ill Medicare beneficiaries participating in MCCM were directly impacted by the PHE, we are still unclear whether changes in the service modality and encounters by provider type and the decline in average service counts per beneficiary are driven more by hospices or by beneficiary decisions to minimize exposure. Future research should attempt to disentangle these factors.
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Yoga is recognized and practiced for different levels of prevention since antiquity. The current scoping review aimed to identify and document the evidence reporting the effect of yoga interventions on immunity against COVID-19 infection. Three databases--PubMed, Cochrane, and Google Scholar, were searched to identify eligible studies. Articles published in English after 2010 and assessing the impact of any form of yoga (such as yogasanas, meditations, or pranayamas) on immunological markers were included in the review. The studies without information of the intervention on immunity markers, and experience sharing reviews were excluded. The search yielded 45 eligible articles with majority of the studies being published from the USA and India. Most of the studies were randomized controlled trials, enrolling the adult population with a specific focus on diseases like HIV, cancer, and heart failure. It was observed that a variety of yoga interventions along with meditation and pranayama, in different combinations were used by the authors. However, all these studies unanimously reported improvement in immunological profile (indicated by improved biochemical markers) of an individual (irrespective of disease state and type) with yoga. Moreover, the beneficial effects of these traditional Indian interventions were also found to have a positive impact on overall physical and physiological wellbeing and quality of life. Findings from the existing literature indicate that the practice of yoga has the potential to strengthen cell-mediated immunity and hence could be used as an effective preventive measure against COVID-19 where immunity plays a critical role.
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Background: District Health Authority in Ahmedabad, Gujarat has introduced Project Lifeline, 12-lead portable ECG devices across all primary health centers (PHC) in the district to screen cardiac abnormalities among high-risk and symptomatic adults for providing primary management and proper timely referral. The prime purpose of the study was to assess the cost-effectiveness of portable ECG for the screening of cardiovascular diseases (CVD) among high-risk and symptomatic adults at the PHC in Ahmedabad, Gujarat. Methods: Cost-effective analysis was conducted using a societal perspective. An incremental costing approach was adapted, and cost-effectiveness analysis was done using a decision-analytic model. We surveyed 73 patients who screened positive for cardiac abnormality, documented the type of ECG abnormalities, and diagnosed CVD. The program cost was obtained from the implementers. Transition probabilities were derived from primary data supported by expert opinion for the intervention arm, while a systematic search of the literature was undertaken to derive transition probabilities for the control arm. Results: The ECG screening at PHC saves 2.90 life years at an incremental cost of 89.97 USD (6657.47 INR), yielding a cost-effectiveness ratio of 31.07 USD (2,299.06 INR) per life-year saved, which is below the willingness to pay threshold. The budget impact analysis was also performed. Results are sensitive to the relative risk reduction associated with the non-participation and the cost of initial screening. Conclusion: Cost-effectiveness analysis clearly shows that the facility to screen cardiac abnormality at the PHC level is highly recommended for high-risk adults and symptomatic cases.
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Cardiovascular Diseases , Adult , Cardiovascular Diseases/diagnosis , Cost-Benefit Analysis , Electrocardiography , Humans , IndiaABSTRACT
BACKGROUND: With COVID-19 cases rising, despite CT chest being of value in diagnosis and prognostication in COVID-19, its role in mild or asymptomatic suspected COVID-19, before RT-PCR test is lacking. METHOD: This is a retrospective observational study involving asymptomatic or mildly symptomatic clinically suspected COVID-19 infection in a high endemicity area. Of 2532 HRCT chest database, 376 eligible cases were analyzed for clinico-radiological correlation for CT findings based CORADS and CT severity score between positive vs negative group. RESULTS: Of 376, 186 (48.46%) had COVID-19 features on HRCT in mild and asymptomatic suspected patients. 98 (26.06%) had CO-RARDS - 5, 88 (23.40%) had CO-RADS - 4. 48 (12.76%), 128 (34.04%), 14 (3.72%) had CO-RADS score of 3,2,1, respectively. Positive CT findings were more likely beyond 3 days of symptoms compared to those presenting earlier {days: (Mean) 4.2 vs 2.76} Positive CT was significantly associated with patients with anosmia and dyspnea. The common presenting symptoms were Fever 196 (52.12%) and followed by sore throat in 173 (46.01%). The common HRCT findings were Ground glass opacity (GGO) (74.60%), followed by Lymphadenopathy (LN) (27.92%). LN which was more prevalent in symptomatic patients {99/343 (28.86%) vs {6/33 (18.18%)} asymptomatics (P: 0.04)}. Consolidation was significantly more in asymptomatics with COPD (P: 0.004). 6 (3.22%) patients had CT score >17/25. CONCLUSION: Chest HRCT picked 48.46% positive cases in mildly symptomatic and asymptomatic patients of which 3.22% had severe involvement (>17). Being a noninvasive, rapid, sensitive, low risk of cross infection with high reproducibility, chest CT is worth evaluating as screening modality even in asymptomatic and mildly symptomatic clinically suspected COVID-19.
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BACKGROUND: Role of pediatric cases in secondary transmission of COVID-19 is not well understood. We aim to study secondary attack rate (SAR) of COVID-19 in household contacts of pediatric index cases from Gujarat, Western Indian state. METHODS: For this cross-sectional study, details of 2412 paediatric patients were collected from Government records. Through stratified random sampling 10% (n = 242) of the patients were selected for the study and were telephonically contacted for obtaining the details of household secondary infection; 72 pediatric index cases having 287 household contacts were included in the study. RESULTS: The SAR in household contacts of pediatric index cases was 1.7% (95% CI: 0.74-4%). Majority of the index cases were males (94.4%) with 66% of the patients being admitted at various hospitals and isolation facilities (45%); 37% were home quarantine. Of 72, 50 (74%) cases were aged between 12 and 18 years. The family size of the index cases causing secondary infection was comparatively larger than index cases without secondary household infection (6.75 ± 2.3 versus 4.9 ± 1.9; P = 0.034). CONCLUSIONS: The household SAR from pediatric patients is low and is closely associated with the family size of the index cases. Hence, home quarantine should be advocated in smaller families with appropriate isolation facilities.