scholarly journals Risk factors for hospitalization among persons with COVID-19—Colorado

PLoS ONE ◽  
2021 ◽  
Vol 16 (9) ◽  
pp. e0256917
Author(s):  
Grace M. Vahey ◽  
Emily McDonald ◽  
Kristen Marshall ◽  
Stacey W. Martin ◽  
Helen Chun ◽  
...  
Keyword(s):  
Public Health ◽  
Risk Factors ◽  
Multivariable Analysis ◽  
Current Evidence ◽  
Targeted Prevention ◽  
Health Resource ◽  
Medical Conditions ◽  
Illness Onset ◽  
Resource Needs ◽  
Patient Questionnaires

Background Most current evidence on risk factors for hospitalization because of coronavirus disease 2019 (COVID-19) comes from studies using data abstracted primarily from electronic health records, limited to specific populations, or that fail to capture over-the-counter medications and adjust for potential confounding factors. Properly understanding risk factors for hospitalization will help improve clinical management and facilitate targeted prevention messaging and forecasting and prioritization of clinical and public health resource needs. Objectives To identify risk factors for hospitalization using patient questionnaires and chart abstraction. Methods We randomly selected 600 of 1,738 laboratory-confirmed Colorado COVID-19 cases with known hospitalization status and illness onset during March 9–31, 2020. In April 2020, we collected demographics, social history, and medications taken in the 30 days before illness onset via telephone questionnaire and collected underlying medical conditions in patient questionnaires and medical record abstraction. Results Overall, 364 patients participated; 128 were hospitalized and 236 were non-hospitalized. In multivariable analysis, chronic hypoxemic respiratory failure with oxygen requirement (adjusted odds ratio [aOR] 14.64; 95% confidence interval [CI] 1.45–147.93), taking opioids (aOR 8.05; CI 1.16–55.77), metabolic syndrome (aOR 5.71; CI 1.18–27.54), obesity (aOR 3.35; CI 1.58–7.09), age ≥65 years (aOR 3.22; CI 1.20–7.97), hypertension (aOR 3.14; CI 1.47–6.71), arrhythmia (aOR 2.95; CI 1.00–8.68), and male sex (aOR 2.65; CI 1.44–4.88), were significantly associated with hospitalization. Conclusion We identified patient characteristics, medications, and medical conditions, including some novel ones, associated with hospitalization. These data can be used to inform clinical and public health resource needs.

ALZHEIMER’S ASSOCIATION: INITIATIVES & PUBLIC HEALTH PERSPECTIVE

2016 ◽  
pp. 1-3
Author(s):  
H.M. Snyder ◽  
M.C. Carrillo
Keyword(s):  
Public Health ◽  
Physical Activity ◽  
Risk Factors ◽  
Cognitive Decline ◽  
Population Based ◽  
Current Evidence ◽  
Public Health Perspective ◽  
Reduce Risk ◽  
Number Of Individuals ◽  
Do So

An estimated 47 million people worldwide are living with dementia in 2015 and this number is expected to triple by 2050. There is a clear urgency for therapies and / or interventions to slow, stop or prevent dementia. Amounting evidence suggests strategies to reduce risk of development dementia may be of growing import for reducing the number of individuals affected. The Alzheimer’s Association believes, from a population based perspective that: (1) Regular physical activity and management of cardiovascular risk factors (e.g. diabetes, obesity, smoking and hypertension) have been shown to reduce the risk of cognitive decline and may reduce the risk of dementia; (2) A healthy diet and lifelong learning/cognitive training may also reduce the risk of cognitive decline. The current evidence underscores the need to communicate to the broader population what the science indicates and to do so with diverse stakeholders and consistent messaging. There has never been a better time to define and distribute global messaging on public health for dementia.

scholarly journals Risk Factors for Influenza-Associated Severe Acute Respiratory Illness Hospitalization in South Africa, 2012–2015

2017 ◽  
Vol 4 (1) ◽  
Author(s):  
Stefano Tempia ◽  
Sibongile Walaza ◽  
Jocelyn Moyes ◽  
Adam L. Cohen ◽  
Claire von Mollendorf ◽  
...  
Keyword(s):  
Risk Factors ◽  
South Africa ◽  
Heart Diseases ◽  
Multivariable Analysis ◽  
Respiratory Illness ◽  
Acute Respiratory Illness ◽  
Medical Conditions ◽  
Chronic Lung Diseases ◽  
Increased Risk ◽  
Severe Acute Respiratory Illness

Abstract Background Data on risk factors for influenza-associated hospitalizations in low- and middle-income countries are limited. Methods We conducted active syndromic surveillance for hospitalized severe acute respiratory illness (SARI) and outpatient influenza-like illness (ILI) in 2 provinces of South Africa during 2012–2015. We compared the characteristics of influenza-positive patients with SARI to those with ILI to identify factors associated with severe disease requiring hospitalization, using unconditional logistic regression. Results During the study period, influenza virus was detected in 5.9% (110 of 1861) and 15.8% (577 of 3652) of SARI and ILI cases, respectively. On multivariable analysis factors significantly associated with increased risk of influenza-associated SARI hospitalization were as follows: younger and older age (<6 months [adjusted odds ratio {aOR}, 37.6], 6–11 months [aOR, 31.9], 12–23 months [aOR, 22.1], 24–59 months [aOR, 7.1], and ≥65 years [aOR, 40.7] compared with 5–24 years of age), underlying medical conditions (aOR, 4.5), human immunodeficiency virus infection (aOR, 4.3), and Streptococcus pneumoniae colonization density ≥1000 deoxyribonucleic acid copies/mL (aOR, 4.8). Underlying medical conditions in children aged <5 years included asthma (aOR, 22.7), malnutrition (aOR, 2.4), and prematurity (aOR, 4.8); in persons aged ≥5 years, conditions included asthma (aOR, 3.6), diabetes (aOR, 7.1), chronic lung diseases (aOR, 10.7), chronic heart diseases (aOR, 9.6), and obesity (aOR, 21.3). Mine workers (aOR, 13.8) and pregnant women (aOR, 12.5) were also at increased risk for influenza-associated hospitalization. Conclusions The risk groups identified in this study may benefit most from annual influenza immunization, and children <6 months of age may be protected through vaccination of their mothers during pregnancy.

scholarly journals Risk factors of anemia among Women of Reproductive Age in Rwanda: implications for designing better interventions

2019 ◽  
Author(s):  
Dieudonne Hakizimana ◽  
Marie Paul Nisingizwe ◽  
Jenae Logan ◽  
Rex Wong
Keyword(s):  
Public Health ◽  
Risk Factors ◽  
Pregnant Woman ◽  
Health Survey ◽  
Multivariable Analysis ◽  
Demographic And Health Survey ◽  
Reproductive Age ◽  
Hormonal Contraceptives ◽  
Women Of Reproductive Age ◽  
Factors Associated

Abstract Background Anemia among Women of Reproductive Age (WRA) continues to be among the major public health problems in many developing Rwanda where It was increased comparing 2015 to 2010 Demographic and Health Survey (DHS) reports. A thorough understanding of the its risk factors is necessary to design new better approaches. However, to the best of our knowledge, no study assessing factors associated with anemia among WRA has been conducted. Therefore, this study aims to identify anemia risk factors among WRA in Rwanda. Methods This was a quantitative, cross-sectional study using secondary data from the Rwanda Demographic and Health Survey (RDHS) 2014-2015. The study population consisted of 6680 WRA who were tested for anemia during the survey. Anemia was defined as having equal or below to 10.9 g/dl for a pregnant woman, and hemoglobin level equal or below to 11.9 g/ for a non-pregnant woman. Pearson’s chi-squared test and multiple logistic regression were conducted for bivariate and multivariable analysis respectively. We reported Odds Ratio (OR), 95% Confidence Intervals (CI) and p-values. We used Stata version 14.2 for all analyses. Results The prevalence of anemia among WRA was 19.2% (95% CI: 18.0 - 20.5). After controlling for other variables, the factors associated with were being obese (OR: 0.61, 95% CI: 0.40 - 0.91), being in rich category (OR: 0.74, 95% CI: 0.63 - 0.87), sleeping under a mosquito net (OR: 0.85, 95% CI: 0.74 - 0.98), and using hormonal contraceptives (OR: 0.61, 95% CI: 0.50 - 0.73). The factors associated with higher odds of anemia were being underweight (OR: 1.39, 95% CI: 1.09 - 1.78), using an Intra Uterus Device (OR: 1.98, 95% CI: 1.05 - 3.75), and living in the Southern province (OR: 1.45, 95% CI: 1.11 - 1.89) or in the Eastern province (OR: 1.41, 95% CI: 1.06 - 1.88). Conclusion Anemia continues to pose public health challenges; novel public health interventions should consider geographic variations, improve women economic status, and strengthen iron supplementation especially for IUD users. Additionally, given the association between anemia and malaria, interventions to prevent malaria should be enhanced.

Substance Abuse and Drug-Related Death, Suicidal Ideation, and Suicide: A Review

Crisis ◽  
1999 ◽  
Vol 20 (1) ◽  
pp. 28-35 ◽  
Author(s):  
Annie Mino ◽  
Arnaud Bousquet ◽  
Barbara Broers
Keyword(s):  
Public Health ◽  
Risk Factors ◽  
Substance Abuse ◽  
Suicidal Ideation ◽  
Family Support ◽  
Drug Users ◽  
Suicide Attempts ◽  
Public Health Problem ◽  
Major Public Health Problem ◽  
Hiv Epidemic

The high mortality rate among drug users, which is partly due to the HIV epidemic and partly due to drug-related accidental deaths and suicides, presents a major public health problem. Knowing more about prevalence, incidence, and risk factors is important for the development of rational preventive and therapeutic programs. This article attempts to give an overview of studies of the relations between substance abuse, suicidal ideation, suicide, and drug-related death. Research in this field is hampered by the absence of clear definitions, and results of studies are rarely comparable. There is, however, consensus about suicidal ideation being a risk factor for suicide attempts and suicide. Suicidal ideation is also a predictor of suicide, especially among drug users. It is correlated with an absence of family support, with the severity of the psychosocial dysfunctioning, and with multi-drug abuse, but also with requests for treatment. Every clinical examination of a drug user, not only of those who are depressed, should address the possible presence of suicidal ideation, as well as its intensity and duration.

Cardiovascular Risk in Rheumatoid Arthritis and Mechanistic Links: From Pathophysiology to Treatment

2020 ◽  
Vol 18 (5) ◽  
pp. 431-446 ◽  
Author(s):  
George E. Fragoulis ◽  
Ismini Panayotidis ◽  
Elena Nikiphorou
Keyword(s):  
Rheumatoid Arthritis ◽  
Risk Factors ◽  
Current Evidence ◽  
Pharmacological Intervention ◽  
Cvd Risk ◽  
The Past ◽  
Increased Risk ◽  
Cv Disease ◽  
Obesity Hypertension ◽  
Inflammatory Burden

Rheumatoid arthritis (RA) is an autoimmune inflammatory arthritis. Inflammation, however, can spread beyond the joints to involve other organs. During the past few years, it has been well recognized that RA associates with increased risk for cardiovascular (CV) disease (CVD) compared with the general population. This seems to be due not only to the increased occurrence in RA of classical CVD risk factors and comorbidities like smoking, obesity, hypertension, diabetes, metabolic syndrome, and others but also to the inflammatory burden that RA itself carries. This is not unexpected given the strong links between inflammation and atherosclerosis and CVD. It has been shown that inflammatory cytokines which are present in abundance in RA play a significant role in every step of plaque formation and rupture. Most of the therapeutic regimes used in RA treatment seem to offer significant benefits to that end. However, more studies are needed to clarify the effect of these drugs on various parameters, including the lipid profile. Of note, although pharmacological intervention significantly helps reduce the inflammatory burden and therefore the CVD risk, control of the so-called classical risk factors is equally important. Herein, we review the current evidence for the underlying pathogenic mechanisms linking inflammation with CVD in the context of RA and reflect on the possible impact of treatments used in RA.

scholarly journals Thromboembolic Events in Patients with Testicular Germ Cell Tumours Are Predominantly Triggered by Advanced Disease and by Central Venous Access Systems

2020 ◽  
pp. 1-7
Author(s):  
Klaus-Peter Dieckmann ◽  
David Marghawal ◽  
Uwe Pichlmeier ◽  
Christian Wülfing
Keyword(s):  
Risk Factors ◽  
Central Venous Access ◽  
Multivariable Analysis ◽  
Venous Access ◽  
Germ Cell Tumours ◽  
Thromboembolic Events ◽  
Central Venous ◽  
Testicular Germ Cell ◽  
Testicular Germ Cell Tumours ◽  
Independent Risk Factors

<b><i>Background:</i></b> Thromboembolic events (TEEs) may significantly complicate the clinical management of patients with testicular germ cell tumours (GCTs). We analysed a cohort of GCT patients for the occurrence of TEEs and looked to possible pathogenetic factors. <b><i>Patients, Methods:</i></b> TEEs occurring within 6 months after diagnosis were retrospectively analysed in 317 consecutive patients with testicular GCT (median age 37 years, 198 seminoma, 119 nonseminoma). The following factors were analysed for association with TEE: histology, age, clinical stage (CS), chemotherapy, use of a central venous access device (CVA). Data analysis involved descriptive statistical methods with multivariable analysis to identify independent risk factors. <b><i>Results:</i></b> Twenty-three TEEs (7.3%) were observed, 18 deep vein thromboses, 4 pulmonary embolisms, and 1 myocardial infarction. Univariable risk calculation yielded the following odds ratios (ORs) : &#x3e;CS1 OR = 43.7 (95% confidence intervals [CIs] 9.9–191.6); chemotherapy OR = 7.8 (95% CI 2.3–26.6); CVA OR = 30.5 (95% CI 11.0–84.3). Multivariable analysis identified only CS &#x3e; 1 (OR = 16.9; 95% CI 3.5–82.4) and CVA (OR = 9.0; 95% CI 2.9–27.5) as independent risk factors. <b><i>Conclusions:</i></b> Patients with CSs &#x3e;CS1 are at significantly increased risk of TEEs even without chemotherapy. Particular high risk is associated with the use of CVA devices for chemotherapy. Caregivers of GCT patients must be aware of the particular risk of TEEs.

scholarly journals Spatial distribution and determinant factors of anemia among adults aged 15–59 in Ethiopia; using mixed-effects ordinal logistic regression model

BMC Nutrition ◽  
2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Biruk Shalmeno Tusa ◽  
Sewnet Adem Kebede ◽  
Adisu Birhanu Weldesenbet
Keyword(s):  
Public Health ◽  
Spatial Distribution ◽  
Scan Statistics ◽  
Moran’S I ◽  
Demographic And Health Surveys ◽  
Targeted Prevention ◽  
Hotspot Analysis ◽  
Mixed Effect ◽  
Moran's I ◽  
Determinant Factors

Abstract Background Anemia is a global public health problem, particularly in developing countries. Assessing the geographic distributions and determinant factors is a key and crucial step in designing targeted prevention and intervention programmes to address anemia. Thus, the current study is aimed to assess the spatial distribution and determinant factors of anemia in Ethiopia among adults aged 15–59. Methods A secondary data analysis was done based on 2016 Ethiopian Demographic and Health Surveys (EDHS). Total weighted samples of 29,140 adults were included. Data processing and analysis were performed using STATA 14; ArcGIS 10.1 and SaTScan 9.6 software. Spatial autocorrelation was checked using Global Moran’s index (Moran’s I). Hotspot analysis was made using Gettis-OrdGi*statistics. Additionally, spatial scan statistics were applied to identify significant primary and secondary cluster of anemia. Mixed effect ordinal logistics were fitted to determine factors associated with the level of anemia. Result The spatial distribution of anemia in Ethiopia among adults age 15–59 was found to be clustered (Global Moran’s I = 0.81, p value <  0.0001). In the multivariable mixed-effectordinal regression analysis; Females [AOR = 1.53; 95% CI: 1.42, 1.66], Never married [AOR = 0.86; 95% CI: 0.77, 0.96], highly educated [AOR = 0.71; 95% CI: 0.60, 0.84], rural residents [AOR = 1.53; 95% CI: 1.23, 1.81], rich wealth status [AOR = 0.77; 95% CI: 0.69, 0.86] and underweight [AOR = 1.15; 1.06, 1.24] were significant predictors of anemia among adults. Conclusions A significant clustering of anemia among adults aged 15–59 were found in Ethiopia and the significant hotspot areas with high cluster anemia were identified in Somalia, Afar, Gambella, Dire Dewa and Harari regions. Besides, sex, marital status, educational level, place of residence, region, wealth index and BMI were significant predictors of anemia. Therefore, effective public health intervention and nutritional education should be designed for the identified hotspot areas and risk groups in order to decrease the incidence of anemia.

90 Socio-Demographic and Medical Factors in A Multi-Ethnic Cohort of COVID Deaths

2021 ◽  
Vol 50 (Supplement_1) ◽  
pp. i12-i42
Author(s):  
M Patel ◽  
U Umasankar ◽  
B McCall
Keyword(s):  
Risk Factors ◽  
South Asian ◽  
Multivariable Analysis ◽  
Uneventful Recovery ◽  
Asian Ethnicity ◽  
Black African ◽  
Medical Factors ◽  
Multivariable Analyses ◽  
Independent Risk Factors ◽  
Medical Wards

Abstract Introduction Whilst most patients during the COVID pandemic made an uneventful recovery,there was a significant minority in whom the disease was severe and unfortunately fatal. This survey aims to examine and evaluate risk factors for those patients who died of COVID and to identify any markers for improvement in the management of such patients during future COVID surges. Methods Medical records of all patients who died within a multi-ethnic, inner city acute district general hospital over a 6-week period in 2020 were examined. Data collected included demographic details, medical comorbidities, and type of ward where they received care. Multivariable analysis using stepwise backward logistic regression was conducted to examine independent risk factors for these patients. Results Of 275 deaths,204 were related to COVID. Compared to non-COVID deaths(n = 71), there were no age differences. There were significantly more deaths in males (58%vs39%,P &lt; 0.001)) and in Black African and South Asian groups. 18% of COVID deaths were those who were not frail (Frailty Rockwood Scale 1–3) whereas there were no non-COVID deaths in this group(P &lt; 0.001). 69% of COVID deaths occurred in general medical wards whereas 19% in critical care units (90% and 7% for non-COVID deaths,p &lt; 0.001). COVID patients died more quickly compared to non-COVID patients (length of stay mean, 11vs21,p &lt; 0.001). Medical factors prevalent in &gt;20% of COVID deaths included Diabetes, Hypertension, Chronic Heart Disease, Chronic Kidney Disease,and Dementia. Multivariable analyses showed males (OR 1.9), age &gt; 70(OR 2.0), frailty (OR 2.3) were independent risk factors for COVID deaths. Discussion Compared to non-COVID deaths,COVID deaths were more common in previously well individuals,males,Black African and South Asian ethnicity, but multivariable analyses showed males, age &gt; 70 and frailty were independent risk factors for COVID deaths. This survey indicates that greater psychological support may be required for healthcare workers on general medical wards who looked after greater proportion of COVID deaths.

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