scholarly journals Root Causes of Fungal Coinfections in COVID-19 Infected Patients

2021 ◽  
Vol 13 (4) ◽  
pp. 1018-1035
Author(s):  
Arman Amin ◽  
Artin Vartanian ◽  
Nicole Poladian ◽  
Alexander Voloshko ◽  
Aram Yegiazaryan ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Mechanical Ventilation ◽  
Patient Outcomes ◽  
Fungal Pathogens ◽  
Healthcare Providers ◽  
Clinical Manifestations ◽  
Middle Income ◽  
Middle Income Countries ◽  
Favorable Conditions

COVID-19 is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and has infected over 200 million people, causing over 4 million deaths. COVID-19 infection has been shown to lead to hypoxia, immunosuppression, host iron depletion, hyperglycemia secondary to diabetes mellitus, as well as prolonged hospitalizations. These clinical manifestations provide favorable conditions for opportunistic fungal pathogens to infect hosts with COVID-19. Interventions such as treatment with corticosteroids and mechanical ventilation may further predispose COVID-19 patients to acquiring fungal coinfections. Our literature review found that fungal coinfections in COVID-19 infected patients were most commonly caused by Aspergillus, Candida species, Cryptococcus neoformans, and fungi of the Mucorales order. The distribution of these infections, particularly Mucormycosis, was found to be markedly skewed towards low- and middle-income countries. The purpose of this review is to identify possible explanations for the increase in fungal coinfections seen in COVID-19 infected patients so that physicians and healthcare providers can be conscious of factors that may predispose these patients to fungal coinfections in order to provide more favorable patient outcomes. After identifying risk factors for coinfections, measures should be taken to minimize the dosage and duration of drugs such as corticosteroids, immunosuppressants, and antibiotics.

Abstract 1122‐000011: Risk Factors Associated with Various Subtypes of Ischemic Stroke: A Prospective Study

2021 ◽  
Vol 1 (S1) ◽  
Author(s):  
Mohammad Shahidullah ◽  
Subash K Dey ◽  
Nahid Sultana
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Ischemic Stroke ◽  
Smoking Habit ◽  
Smoking History ◽  
Large Artery ◽  
Middle Income ◽  
Factors Associated ◽  
Middle Income Countries ◽  
Risks Factors

Introduction : Stroke is the main cause of adult disability and the second most leading cause of death worldwide. The number of deaths due to stroke is 5·54 million worldwide. Stroke is also a major cause of long‐term disability. Globally, 70% of strokes and 87% of both stroke‐related deaths and disability‐adjusted life years occur in low and middle‐income countries. The incidence of stroke varies among various countries. Over the last four decades, the stroke incidence in low and middle‐income countries has become more than doubled. . However, there are limited data and very few studies on various subtypes of ischemic stroke and their risks factors in our country. So, we purposively designed this study. The aim of this study was to investigate the risks factors associated with the various subtypes of ischemic stroke according to TOAST criteria. Methods : This was a prospective observational cross sectional study conducted during June‐2019 to May‐2020. A total of 220 ischemic stroke patients aged above 30 years confirmed by CT Scan/MRI of brain were included in this study. A complete history was taken regarding hypertension, diabetes, dyslipidemia, ischemic heart disease, current smoking history of previous stroke, positive familial history, coronary artery diseases, alcohol consumption and demographic characteristics were noted in the questionnaire. Hypertension was defined as systolic blood pressure (SBP) > 140 mmHg, diastolic blood pressure > 90 mmHg or both on two separate occasions, or the use of anti‐hypertensive medication at any time before the onset of stroke. Diabetes was defined if fasting plasma glucose levels are 126 mg/dl or higher after an overnight fast on more than one occasion or as random blood glucose level 200 mg/dl or higher on more than one occasion. Ischemic stroke was classified according to TOAST criteria. Data were collected with a pre structured questionnaire from the patients’ investigations reports and face to face interview with the researcher (an expert neurologist). Results : Among the 220 stroke patients, Large‐artery atherosclerosis (LAA), Cardio‐embolism (CE), Small‐vessel occlusion (SVO, Stroke of other determined etiology (SODE) and Stroke of undetermined etiology (SUDE) were being observed 84(38.18%), 14(6.36%), 63(28.64%), 12(5.45%) and 47(18.18%). The highest prevalence of subtypes 70(31.82%) was found in the age group (51‐60). The prevalence of subtypes was found 150(68.18%) in male and 70(31.82%) in female. 86(39.09%) prevalence of subtypes was found who were from rural areas whereas 134(60.91%) was observed in urban areas. The significant risk factors associated with the prevalence of various subtypes of ischemic stroke were observed Hypertension, Diabetes Mellitus, Smoking history, Dyslipidemia, Heart disease, H/O Previous Stroke, Positive Familial History, Coronary Artery Disease and Alcohol Consumption (p <0.05). Conclusions : The higher prevalence of Large‐artery atherosclerosis (LAA) was found in this study. It suggests the influence of uncontrolled hypertension, diabetes mellitus, smoking habit and dyslipidemia. So, importance should be given on various subtypes of ischemic stroke and collective preventive measures and strategies are to be taken to control the associated risk factors especially hypertension, diabetes mellitus, smoking habit and dyslipidemia to decrease the stroke mortality rate.

Risk Factors of Mortality Among Patients with Stroke in Low Middle-Income Countries:  A Series of 180 Patients

2020 ◽  
Author(s):  
Larrey Kamabu ◽  
Hervé Monka Lekuya ◽  
Bienvenu Muhindo Kasusula ◽  
Nicole Kavugho Mutimani ◽  
Louange Maha Kathaka ◽  
...  
Keyword(s):  
Risk Factors ◽  
Middle Income ◽  
Middle Income Countries ◽  
Low Middle Income Countries

scholarly journals Maternal mortality in six low and lower-middle income countries from 2010 to 2018: risk factors and trends

2020 ◽  
Vol 17 (S3) ◽  
Author(s):  
Melissa Bauserman ◽  
Vanessa R. Thorsten ◽  
Tracy L. Nolen ◽  
Jackie Patterson ◽  
Adrien Lokangaka ◽  
...  
Keyword(s):  
Risk Factors ◽  
Maternal Mortality ◽  
Maternal Deaths ◽  
Middle Income ◽  
Maternal Risk ◽  
Live Births ◽  
Middle Income Countries ◽  
Risk Of Death ◽  
Increased Risk ◽  
Over Time

Abstract Background Maternal mortality is a public health problem that disproportionately affects low and lower-middle income countries (LMICs). Appropriate data sources are lacking to effectively track maternal mortality and monitor changes in this health indicator over time. Methods We analyzed data from women enrolled in the NICHD Global Network for Women’s and Children’s Health Research Maternal Newborn Health Registry (MNHR) from 2010 through 2018. Women delivering within research sites in the Democratic Republic of Congo, Guatemala, India (Nagpur and Belagavi), Kenya, Pakistan, and Zambia are included. We evaluated maternal and delivery characteristics using log-binomial models and multivariable models to obtain relative risk estimates for mortality. We used running averages to track maternal mortality ratio (MMR, maternal deaths per 100,000 live births) over time. Results We evaluated 571,321 pregnancies and 842 maternal deaths. We observed an MMR of 157 / 100,000 live births (95% CI 147, 167) across all sites, with a range of MMRs from 97 (76, 118) in the Guatemala site to 327 (293, 361) in the Pakistan site. When adjusted for maternal risk factors, risks of maternal mortality were higher with maternal age > 35 (RR 1.43 (1.06, 1.92)), no maternal education (RR 3.40 (2.08, 5.55)), lower education (RR 2.46 (1.54, 3.94)), nulliparity (RR 1.24 (1.01, 1.52)) and parity > 2 (RR 1.48 (1.15, 1.89)). Increased risk of maternal mortality was also associated with occurrence of obstructed labor (RR 1.58 (1.14, 2.19)), severe antepartum hemorrhage (RR 2.59 (1.83, 3.66)) and hypertensive disorders (RR 6.87 (5.05, 9.34)). Before and after adjusting for other characteristics, physician attendance at delivery, delivery in hospital and Caesarean delivery were associated with increased risk. We observed variable changes over time in the MMR within sites. Conclusions The MNHR is a useful tool for tracking MMRs in these LMICs. We identified maternal and delivery characteristics associated with increased risk of death, some might be confounded by indication. Despite declines in MMR in some sites, all sites had an MMR higher than the Sustainable Development Goals target of below 70 per 100,000 live births by 2030. Trial registration The MNHR is registered at NCT01073475.

scholarly journals Hierarchical disentanglement of contextual from compositional risk factors of diarrhoea among under-five children in low- and middle-income countries

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Adeniyi Francis Fagbamigbe ◽  
A. Olalekan Uthman ◽  
Latifat Ibisomi
Keyword(s):  
Risk Factors ◽  
National Level ◽  
Cross Sectional ◽  
Middle Income ◽  
Contextual Risk ◽  
Under Five ◽  
Factors Associated ◽  
Under Five Children ◽  
Middle Income Countries ◽  
Low And Middle Income

AbstractSeveral studies have documented the burden and risk factors associated with diarrhoea in low and middle-income countries (LMIC). To the best of our knowledge, the contextual and compositional factors associated with diarrhoea across LMIC were poorly operationalized, explored and understood in these studies. We investigated multilevel risk factors associated with diarrhoea among under-five children in LMIC. We analysed diarrhoea-related information of 796,150 under-five children (Level 1) nested within 63,378 neighbourhoods (Level 2) from 57 LMIC (Level 3) using the latest data from cross-sectional and nationally representative Demographic Health Survey conducted between 2010 and 2018. We used multivariable hierarchical Bayesian logistic regression models for data analysis. The overall prevalence of diarrhoea was 14.4% (95% confidence interval 14.2–14.7) ranging from 3.8% in Armenia to 31.4% in Yemen. The odds of diarrhoea was highest among male children, infants, having small birth weights, households in poorer wealth quintiles, children whose mothers had only primary education, and children who had no access to media. Children from neighbourhoods with high illiteracy [adjusted odds ratio (aOR) = 1.07, 95% credible interval (CrI) 1.04–1.10] rates were more likely to have diarrhoea. At the country-level, the odds of diarrhoea nearly doubled (aOR = 1.88, 95% CrI 1.23–2.83) and tripled (aOR = 2.66, 95% CrI 1.65–3.89) among children from countries with middle and lowest human development index respectively. Diarrhoea remains a major health challenge among under-five children in most LMIC. We identified diverse individual-level, community-level and national-level factors associated with the development of diarrhoea among under-five children in these countries and disentangled the associated contextual risk factors from the compositional risk factors. Our findings underscore the need to revitalize existing policies on child and maternal health and implement interventions to prevent diarrhoea at the individual-, community- and societal-levels. The current study showed how the drive to the attainment of SDGs 1, 2, 4, 6 and 10 will enhance the attainment of SDG 3.

scholarly journals Characteristics and circumstances of falls leading to severe fractures in elderly people in Rio de Janeiro, Brazil

2009 ◽  
Vol 25 (2) ◽  
pp. 455-459 ◽  
Author(s):  
Evandro Silva Freire Coutinho ◽  
Kátia Vergetti Bloch ◽  
Laura C. Rodrigues
Keyword(s):  
Risk Factors ◽  
Elderly People ◽  
Rio De Janeiro ◽  
Developed Countries ◽  
Case Control ◽  
Demographic Variables ◽  
Case Control Studies ◽  
Middle Income ◽  
Middle Income Countries ◽  
Gender And Age

The circumstances associated with falls among elderly people have been well described in some developed countries, but little is known about such accidents in middle-income countries. The aim of this paper is to report the circumstances and characteristics associated with falls leading to severe fractures among elderly people living in Rio de Janeiro, Brazil. Cases were obtained from two case-control studies on risk factors for severe fractures due to falls among individuals 60 years or older. Fallers were stratified according to clinical and socio-demographic variables and circumstances of the accident. Women comprised three-fourths of the sample. The femur was the most frequently fractured bone, more common among individuals over 70 years of age. Most falls occurred at home, between 6:00 AM and 6:00 PM, but the rooms where they occurred differed according to gender and age. Most individuals did not attribute their falls to tripping or slipping. This sample's data did not differ substantially from studies in developed countries.

scholarly journals Seroprevalence of SARS CoV-2 infection in Low and Middle-Income Countries and risk classification in the context of rolling out vaccine candidate across these countries : Protocol for a systematic review and meta-analysis

2021 ◽  
Author(s):  
Martin Ackah ◽  
Louise Ameyaw ◽  
Kwadwo Owusu Akuffo ◽  
Cynthia Osei Yeboah ◽  
Nana Esi Wood ◽  
...  
Keyword(s):  
Risk Factors ◽  
Systematic Review ◽  
Vaccine Candidate ◽  
Meta Analysis ◽  
Cochrane Library ◽  
Research Database ◽  
Middle Income ◽  
Middle Income Countries ◽  
Low Middle Income Countries ◽  
Low And Middle Income

Abstract Background Seroprevalence of SARS Cov-2 provides a good indication of the extent of exposure and spread in the population, as well as those likely to benefit from a vaccine candidate. To date, there is no published or ongoing systematic review on the seroprevalence of COVID-19 in Low- and Middle-Income Countries (LMICs). This systematic review and meta-analysis will estimate SARS Cov-2 seroprevalence and the risk factors for SARS Cov-2 infection in LMICs.Methods We will search PubMed, EMBASE, WHO COVID-19 Global research database, Google Scholar, the African Journals Online, LILAC, HINARI, medRxiv, bioRxiv and Cochrane Library for potentially useful studies on seroprevalence of COVID-19 in LMICs from December 2019 to December 2020 without language restriction. Two authors will independently screen all the articles, select studies based on pre-specified eligibility criteria and extract data using a pre-tested data extraction form. Any disagreements will be resolved through discussion between the authors. The pooled seroprevalence of SARS CoV-2 for people from LMICs will be calculated. Random effects model will be used in case of substantial heterogeneity in the included studies, otherwise fixed-effect model will be used. A planned subgroup, sensitivity and meta-regression analyses will be performed. For comparative studies, the analyses will be performed using Review Manager v 5.4; otherwise, STATA 16 will be used. All effect estimates will be presented with their confidence intervals.Discussion The study will explore and systematically review empirical evidence on SARS Cov-2 seroprevalence in LMICs, and to assess the risk factors for SARS Cov-2 infection in Low Middle Income Countries in the context of rolling out vaccines in these countries. Finally, explore risk classifications to help with the rolling out of vaccines in LMICs.Systematic review registration: The protocol for this review has been registered in PROSPERO (CRD422020221548).

scholarly journals Socioeconomic inequalities in lifestyle risk factors across low- and middle-income countries

2021 ◽  
Author(s):  
Charlotte Dieteren ◽  
Igna Bonfrer
Keyword(s):  
Risk Factors ◽  
Alcohol Use ◽  
Tobacco Use ◽  
Socioeconomic Inequalities ◽  
Middle Income ◽  
Lifestyle Risk Factors ◽  
Middle Income Countries ◽  
The Poor ◽  
Harmful Alcohol ◽  
Lifestyle Risk

Abstract Background The heavy and ever rising burden of non-communicable diseases (NCDs) in low- and middle-income countries (LMICs) warrants interventions to reduce their underlying risk factors, which are often linked to lifestyles. To effectively supplement nationwide policies with targeted interventions, it is important to know how these risk factors are distributed across socioeconomic segments of populations in LMICs. This study quantifies the prevalence and socioeconomic inequalities in lifestyle risk factors in LMICs, to identify policy priorities conducive to the Sustainable Development Goal of a one third reduction in deaths from NCDs by 2030. Methods Data from 1,278,624 adult respondents to Demographic & Health Surveys across 22 LMICs between 2013 and 2018 are used to estimate crude prevalence rates and socioeconomic inequalities in tobacco use, overweight, harmful alcohol use and the clustering of these three in a household. Inequalities are measured by a concentration index and correlated with the percentage of GDP spent on health. We estimate a multilevel model to examine associations of individual characteristics with the different lifestyle risk factors. Results The prevalence of tobacco use among men ranges from 59.6% (Armenia) to 6.6% (Nigeria). The highest level of overweight among women is 83.7% (Egypt) while this is less than 12% in Burundi, Chad and Timor-Leste. 82.5% of women in Burundi report that their partner is “often or sometimes drunk” compared to 1.3% in Gambia. Tobacco use is concentrated among the poor, except for the low share of men smoking in Nigeria. Overweight, however, is concentrated among the better off, especially in Tanzania and Zimbabwe (Erreygers Index (EI) 0.227 and 0.232). Harmful alcohol use is more concentrated among the better off in Nigeria (EI 0.127), while Chad, Rwanda and Togo show an unequal pro-poor distribution (EI respectively − 0.147, -0.210, -0.266). Cambodia exhibits the largest socioeconomic inequality in unhealthy household behaviour (EI -0.253). The multilevel analyses confirm that in LMICs, tobacco and alcohol use are largely concentrated among the poor, while overweight is concentrated among the better-off. The associations between the share of GDP spent on health and the socioeconomical distribution of lifestyle factors are multidirectional. Conclusions This study emphasizes the importance of lifestyle risk factors in LMICs and the socioeconomic variation therein. Given the different socioeconomic patterns in lifestyle risk factors - overweight patters in LMICs differ considerably from those in high income countries- tailored interventions towards specific high-risk populations are warranted to supplement nationwide policies.

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