Death With Tuberculosis in California, 1994–2008

Abstract Background. Identifying factors associated with tuberculosis (TB) deaths will inform efforts to prevent deaths. Methods. We examined deaths among patients with culture-confirmed TB reported to the California TB Registry during 1994–2008. We calculated the age-adjusted percentage of deaths before and during TB treatment and estimated trends. We constructed multivariable logistic regression models to identify factors associated with death during treatment. Results. Of 40 125 patients with culture-confirmed TB, 4565 (11%) died: 1146 (25%) died before treatment started, and 3419 (75%) died during treatment. The age-adjusted percentage of patients who died before and during treatment declined from 1994 to 2008 (3.5% to 2%, and 10.4% to 7.2%, respectively, both P < .0001). We identified several risk factors for death that may be addressed with public health efforts: acquired multidrug resistance (adjusted odds ratio [aOR] = 4.67; 95% confidence interval [CI], 2.09–10.45); care in the private sector (aOR = 3.08; 95% CI, 2.75–3.44); and an initial treatment regimen of <3 drugs (aOR = 2.07; 95% CI, 1.63–2.64). We identified other risk factors for death that could be used as markers for intensified diagnostic and treatment processes in hospital: human immunodeficiency virus coinfection; meningeal, peritoneal, and disseminated TB; substance use; and abnormal chest radiograph without cavities. Conclusions. In California, 1 in 9 TB patients died with a potentially curable disease. Public health departments might prevent deaths in patients with TB by strengthening partnerships with private providers, intensifying diagnostic and treatment processes for patients at risk of death in hospital, optimizing treatment regimens for patients with comorbidities, and preventing the acquisition of drug resistance.

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Risk factors associated with adverse reactions to antituberculosis drugs

Jornal Brasileiro de Pneumologia ◽

10.1590/s1806-37132015000100010 ◽

2015 ◽

Vol 41 (1) ◽

pp. 77-89 ◽

Cited By ~ 7

Author(s):

Laíse Soares Oliveira Resende ◽

Edson Theodoro dos Santos-Neto

Keyword(s):

Risk Factors ◽

Adverse Reactions ◽

Scientific Evidence ◽

Acetylator Phenotype ◽

Health Care Facilities ◽

Public Health Care ◽

Antituberculosis Drugs ◽

Factors Associated ◽

Treatment Regimens ◽

Care Facilities

This review sought to identify the available scientific evidence on risk factors associated with adverse reactions to antituberculosis drugs. We performed a systematic review of studies published in the 1965-2012 period and indexed in the MEDLINE and LILACS databases. A total of 1,389 articles were initially selected. After reading their abstracts, we selected 85 studies. Of those 85 studies, 16 were included in the review. Risk factors for adverse reactions to antituberculosis drugs included age > 60 years, treatment regimens, alcoholism, anemia, and HIV co-infection, as well as sodium, iron, and albumin deficiency. Protective factors against hepatic adverse effects of antituberculosis drugs included being male (combined OR = 0.38; 95% CI: 0.20-0.72) and showing a rapid/intermediate N-acetyltransferase 2 acetylator phenotype (combined OR = 0.41; 95% CI: 0.18-0.90). There is evidence to support the need for management of adverse reactions to antituberculosis drugs at public health care facilities.

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Factors associated with COVID-19 related hospitalisation, critical care admission and mortality using linked primary and secondary care data

10.1101/2021.01.19.20241844 ◽

2021 ◽

Author(s):

Lisa Cummins ◽

Irene Ebyarimpa ◽

Nathan Cheetham ◽

Victoria Tzortziou Brown ◽

Katie Brennan ◽

...

Keyword(s):

Risk Factors ◽

Learning Disabilities ◽

Secondary Care ◽

Multivariate Logistic Regression Analysis ◽

Additional Patient ◽

Factors Associated ◽

Icu Admission ◽

Risk Of Death ◽

North East ◽

Increased Risk

AbstractBackgroundTo identify risk factors associated with increased risk of hospitalisation, intensive care unit (ICU) admission and mortality in inner North East London (NEL) during the first UK COVID-19 wave.MethodsMultivariate logistic regression analysis on linked primary and secondary care data from people aged 16 or older with confirmed COVID-19 infection between 01/02/2020-30/06/2020 determined odds ratios (OR), 95% confidence intervals (CI) and p-values for the association between demographic, deprivation and clinical factors with COVID-19 hospitalisation, ICU admission and mortality.ResultsOver the study period 1,781 people were diagnosed with COVID-19, of whom 1,195 (67%) were hospitalised, 152 (9%) admitted to ICU and 400 (23%) died. Results confirm previously identified risk factors: being male, or of Black or Asian ethnicity, or aged over 50. Obesity, type 2 diabetes and chronic kidney disease (CKD) increased the risk of hospitalisation. Obesity increased the risk of being admitted to ICU. Underlying CKD, stroke and dementia in-creased the risk of death. Having learning disabilities was strongly associated with increased risk of death (OR=4.75, 95%CI=(1.91,11.84), p=0.001). Having three or four co-morbidities increased the risk of hospitalisation (OR=2.34,95%CI=(1.55,3.54),p<0.001;OR=2.40, 95%CI=(1.55,3.73), p<0.001 respectively) and death (OR=2.61, 95%CI=(1.59,4.28), p<0.001;OR=4.07, 95% CI= (2.48,6.69), p<0.001 respectively).ConclusionsWe confirm that age, sex, ethnicity, obesity, CKD and diabetes are important determinants of risk of COVID-19 hospitalisation or death. For the first time, we also identify people with learning disabilities and multi-morbidity as additional patient cohorts that need to be actively protected during COVID-19 waves.

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Risk factors associated with the severity of COVID-19 in a region of the Brazilian Amazon

Scientific Reports ◽

10.1038/s41598-021-00009-y ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Daniele Melo Sardinha ◽

Rosane do Socorro Pompeu de Loiola ◽

Ana Lúcia da Silva Ferreira ◽

Carmem Aliandra Freire de Sá ◽

Yan Corrêa Rodrigues ◽

...

Keyword(s):

Risk Factors ◽

Brazilian Amazon ◽

The State ◽

Metropolitan Region ◽

Epidemiological Surveillance ◽

Cross Sectional ◽

Factors Associated ◽

Risk Of Death ◽

Increased Risk ◽

Brazilian Amazon Region

AbstractThe Brazilian Northern region registered a high incidence of COVID-19 cases, particularly in the state of Pará. The present study investigated the risk factors associated with the severity of COVID-19 in a Brazilian Amazon region of 100,819 cases. An epidemiological, cross-sectional, analytical and demographic study, analyzing data on confirmed cases for COVID-19 available at the Brazilian Ministry of Health's surveillance platform, was conducted. Variables such as, municipalities of residence, age, gender, signs and symptoms, comorbidities were included and associated with COVID-19 cases and outcomes. The spatial distribution was performed using the ArcGIS program. A total of 100,819 cases were evaluated. Overall, patients had the mean age of 42.3 years, were female (51.2%) and with lethality reaching 4.79% of cases. Main symptoms included fever (66.5%), cough (61.9%) and sore throat (39.8%). Regarding comorbidities, most of the patients presented cardiovascular disease (5.1%) and diabetes (4.2%). Neurological disease increased risk of death by nearly 15 times, followed by obesity (5.16 times) and immunodeficiency (5.09 time). The municipalities with the highest incidence rate were Parauapebas, Canaã dos Carajás and Jacareacanga. Similarity between the Lower Amazon, Marajó and Southwest mesoregions of Pará state were observed concerning the highest morbidity rates. The obtained data demonstrated that the majority of cases occurred among young adults, females, with the classic influenza symptoms and chronic diseases. Finally, data suggest that the highest incidences were no longer in the metropolitan region of the state. The higher lethality rate than in Brazil may be associated with the greater impacts of the disease in this Amazonian population, or factors associated with fragile epidemiological surveillance in the notification of cases of cure.

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Ethnicity and other COVID-19 death risk factors in Mexico

Archives of Medical Science ◽

10.5114/aoms.2020.101443 ◽

2020 ◽

Author(s):

Erwin Chiquete ◽

Jesus Alegre-Díaz ◽

Ana Ochoa-Guzmán ◽

Liz Nicole Toapanta-Yanchapaxi ◽

Carlos González-Carballo ◽

...

Keyword(s):

Risk Factors ◽

Proportional Hazards Model ◽

Invasive Mechanical Ventilation ◽

Significant Risk ◽

Cox Proportional Hazards ◽

Cox Proportional Hazards Model ◽

Chronic Obstructive ◽

Death Risk ◽

Factors Associated ◽

Risk Of Death

IntroductionPatients with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection may develop coronavirus disease 2019 (COVID-19). Risk factors associated with death vary among countries with different ethnic backgrounds. We aimed to describe the factors associated with death in Mexicans with confirmed COVID-19.Material and methodsWe analysed the Mexican Ministry of Health’s official database on people tested for SARS-CoV-2 infection by real-time reverse transcriptase–polymerase chain reaction (rtRT-PCR) of nasopharyngeal fluids. Bivariate analyses were performed to select characteristics potentially associated with death, to integrate a Cox-proportional hazards model.ResultsAs of May 18, 2020, a total of 177,133 persons (90,586 men and 86,551 women) in Mexico received rtRT-PCR testing for SARS-CoV-2. There were 5332 deaths among the 51,633 rtRT-PCR-confirmed cases (10.33%, 95% CI: 10.07–10.59%). The median time (interquartile range, IQR) from symptoms onset to death was nine days (5–13 days), and from hospital admission to death 4 days (2–8 days). The analysis by age groups revealed that the significant risk of death started gradually at the age of 40 years. Independent death risk factors were obesity, hypertension, male sex, indigenous ethnicity, diabetes, chronic kidney disease, immunosuppression, chronic obstructive pulmonary disease, age > 40 years, and the need for invasive mechanical ventilation (IMV). Only 1959 (3.8%) cases received IVM, of whom 1893 were admitted to the intensive care unit (96.6% of those who received IMV).ConclusionsIn Mexico, highly prevalent chronic diseases are risk factors for death among persons with COVID-19. Indigenous ethnicity is a poorly studied factor that needs more investigation.

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Nutritional Status and its Correlates in Equatorial Guinean Preschool Children: Results from a Nationally Representative Survey

Food and Nutrition Bulletin ◽

10.1177/156482650802900106 ◽

2008 ◽

Vol 29 (1) ◽

pp. 49-58 ◽

Cited By ~ 12

Author(s):

Estefanía Custodio ◽

Miguel Ángel Descalzo ◽

Jesús Roche ◽

Ignacio Sánchez ◽

Laura Molina ◽

...

Keyword(s):

Public Health ◽

Risk Factors ◽

Nutritional Status ◽

Health Problems ◽

World Health ◽

Equatorial Guinea ◽

Severe Anemia ◽

Factors Associated ◽

Who Standards ◽

Nationally Representative

Background In Equatorial Guinea, as a result of the recent growth of the oil industry, there is an opportunity to address important public health problems through public and private initiatives. To propose effective nutrition and public health strategies, it is important first to have reliable information on the nutritional status of the population and the underlying factors affecting it. Objective To assess the nutritional status and the prevalence of anemia among Equatoguinean children in a nationally representative sample and to identify the risk factors associated with the nutritional problems detected. Methods The study was a cross-sectional survey using a multistaged, stratified, cluster-selected sample. The survey included a sociodemographic, health, and dietary questionnaire and measurement of hematocrit and anthropometric features, from which nutritional indicators based on the National Center for Health Statistics (NCHS) reference and the World Health Organization (WHO) standards were calculated. Logistic regression models were used for the multivariate analysis. A total of 552 children aged 0 to 60 months were surveyed. Results The overall prevalence of stunting (< −2 height-for-age z-scores [HAZ]) was 29.7% based on the NCHS reference and 35.2% based on WHO standards; the risk factors associated with stunting were age ( p < .0001), low socioeconomic status ( p = .01), and fishing by a member of the household ( p = .003) The prevalence of mild anemia (hemoglobin < 110 g/L) was 69.3%, and that of moderate or severe anemia (hemoglobin < 80 g/L) was 8.3%. The only significant risk factor associated with moderate to severe anemia was low household socioeducational level ( p = .01). Conclusions Stunting and anemia are public health problems in Equatorial Guinea. Integrated strategies, including fighting poverty and improving maternal education, should be undertaken.

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Dyslipidemia in northeastern China

Open Medicine ◽

10.2478/s11536-010-0075-9 ◽

2011 ◽

Vol 6 (2) ◽

pp. 220-226 ◽

Cited By ~ 1

Author(s):

Xiao Shi ◽

Qinglong Jin ◽

Yulin Hu ◽

Xiumei Chi ◽

Yanhang Gao ◽

...

Keyword(s):

Public Health ◽

Risk Factors ◽

Logistic Regression ◽

Risk Factor ◽

Coronary Artery ◽

Binary Logistic Regression ◽

Northeastern China ◽

Major Risk Factor ◽

Coronary Artery Diseases ◽

Factors Associated

AbstractDyslipidemia, is a major risk factor for premature coronary artery disease. Our aim was to estimate the prevalence of dyslipidemia (blood lipid abnormalities) and other risk factors associated with coronary artery diseases among an adult population in northeastern China. Throughout the months of September and October of 2007,a population-based cross-sectional study was conducted and a total of 3,815 individuals were included. Total cholesterol (TC), high-density cholesterol (HDL-C), low-density cholesterol (LDL-C), and triglycerides (TG) were measured. A binary logistic regression analysis was conducted to determine risk factors associated with dyslipidemia. The prevalence of hypercholesterolemia, high LDL-C, low HDL-C, and hypertriglyceridemia were 17.3%, 27.8%, 11.66% and 29.85%, respectively. The prevalence of hypertension, central obesity, alcoholic liver disease (ALD), non-ALD, diabetes and metabolic syndrome was higher in serum lipid abnormality groups than in the non-dyslipidemia group (p < 0.001). In a binary logistic regression, hyperlipidemia was positively correlated with age, male, hypertension, high body mass index, etc. There were negative correlations with being female and the level of education a subject had attained. Dyslipidemia is a major risk factor for premature coronary artery diseases and an important public health issue in the northeastern part of China. Dyslipidemia is more frequent than expected based on previous studies. To control dyslipidemia, routine evaluations in clinics and community centers are needed, as well as effective public health education.

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Forced Sexual Victimization Among Youth in Custody: Do Risk Factors Vary by Gender and Perpetrator?

The Prison Journal ◽

10.1177/0032885519894561 ◽

2019 ◽

Vol 100 (2) ◽

pp. 151-172

Author(s):

Eileen M. Ahlin

Keyword(s):

Risk Factors ◽

Gender Differences ◽

Logistic Regression ◽

National Survey ◽

Regression Models ◽

Sexual Victimization ◽

Multivariate Logistic Regression ◽

Logistic Regression Models ◽

Factors Associated ◽

Using Data

There is relatively little literature examining risk factors associated with sexual victimization among youth in custody. The current study explored whether risk of forced sexual victimization among youth in custody differs by gender or perpetrator. Using data from a sample of 8,659 youth who participated in the National Survey of Youth in Custody, multivariate logistic regression models were employed to investigate gender differences in risk factors associated with overall forced sexual victimization and staff-on-inmate and inmate-on-inmate forced sexual victimization. Findings suggest that gender differences are more pronounced when perpetrator type is considered.

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Prevalence of Anemia Across Trimesters in Multiethnic Pregnant Women

Current Developments in Nutrition ◽

10.1093/cdn/nzab046_062 ◽

2021 ◽

Vol 5 (Supplement_2) ◽

pp. 765-765

Author(s):

Wanhui Kang ◽

Carrie Irvine ◽

Eva Pressman ◽

Kimberly O'Brien

Keyword(s):

Risk Factors ◽

Black Women ◽

Pregnant Women ◽

White Women ◽

Late Gestation ◽

Racial Groups ◽

Logistic Regression Models ◽

Factors Associated ◽

T1 And T2 ◽

Prevalence Of Anemia

Abstract Objectives This study aimed to characterize prevalence and determinants of anemia in a multiethnic cohort of pregnant women. Methods A retrospective medical chart review was undertaken of all deliveries occurring from 2011 to 2020 at Strong Memorial Hospital and Highland Hospital in Rochester, NY. Among a total of 53,642 deliveries, 42,289 occurred to women with no underlying health complications. Anemia was defined using the CDC criteria as < 11g/dL in the first (T1) and third trimesters (T3) and < 10.5 g/dL in the second trimester (T2). Mean Hb concentration was compared between trimesters and racial groups by ANOVA and post-hoc pairwise comparisons. Relationships between prevalence of anemia by trimesters, racial groups, and BMI were examined by chi-square or t-tests. Logistic regression models were conducted to estimate the risk factors associated with anemia. Results Pregnant women had a mean age of 29.8 ± 5.5 y (range: 13−52 y) at delivery. The majority of women (66.8%) self-identified as white, 20.0% as black, 3.8% as Asian, and 9.4% as Other. Mean Hb concentrations significantly differed by trimester [12.6 ± 1.0, 11.5 ± 1.1, and 11.8 ± 1.3 g/dL in T1, T2 and T3, respectively, p < 0.001]. Mean Hb was significantly lower in black women in each trimester by -0.8 (T1), -0.7 (T2), and -1.0 g/dL (T3) compared to white women. White women had the highest Hb concentrations in T1 and T2 (12.8 ± 0.9, 11.8 ± 1.0 g/dL) while Asian women had the highest Hb concentrations in T3 (12.2 ± 1.2 g/dL, n = 1577, p < 0.001). The overall prevalence of anemia was 17.1%, which significantly increased across pregnancy [4.5% (T1), 16.4% (T2) and 25.2% (T3), p < 0.001]. Observed rates of anemia were higher than the estimated NHANES (1999–2006) prevalence in pregnant women. After stratifying by racial groups, higher BMI was significantly associated with a lower prevalence of anemia in T2 and T3 only in black women and in those whose race was categorized as Other. Conclusions The prevalence of anemia was highest in black pregnant women in all trimesters, while it was lowest in white pregnant women in T1 and T2, and in Asians in T3. Risk factors associated with anemia included late gestation or self-reported race as black or Other. Funding Sources None.

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Risk factors associated with cows' lying time, stall and cows' own cleanliness in smallholder dairy farms in Kenya

Veterinary World ◽

10.14202/vetworld.2019.1085-1092 ◽

2019 ◽

Vol 12 (7) ◽

pp. 1085-1092

Author(s):

E. K. Kathambi ◽

J. A. VanLeeuwen ◽

G. K. Gitau ◽

C. Kamunde

Keyword(s):

Risk Factors ◽

Management Practices ◽

Production Systems ◽

Cross Sectional Study ◽

Cross Sectional ◽

Farm Level ◽

Logistic Regression Models ◽

Factors Associated ◽

The Mean ◽

Smallholder Dairy

Background and Aim: The welfare of animals kept in livestock production systems has raised concerns around the world. Adult dairy cattle require adequate rest and spend approximately 12 h/day lying down. This cross-sectional study aimed to determine the stall factors and management practices affecting cows' lying time, stall cleanliness, and cows' cleanliness (udder and upper leg), in smallholder dairy cows in Meru County of Kenya. Materials and Methods: A total of 106 milking cows from 73 farms were assessed for daily lying time and cleanliness. Data loggers were used to record the lying time of cows for 3 days. Stall, udder, and upper leg cleanliness were assessed using a 5-score system: 1 (very clean) to 5 (very dirty). Management information was acquired using a questionnaire that was administered face-to-face to the farmers in their native Kimeru language. Univariable and multivariable linear and logistic regression models were fit to determine factors associated with cows' lying time and dichotomized stall and cows' own cleanliness, respectively. Results: The mean daily lying time was 10.9±2.2 h, and the mean stall cleanliness score was 2.4±1.0. The mean average cleanliness scores of the udder and upper legs were 1.9±0.7 and 2.5±1.1, respectively. Overall, 35% of the stalls were categorized as dirty (>2.5), whereas 13% and 47% of the cows had udder and leg cleanliness scores >2.5, respectively. From the final multivariable models (p<0.05), daily lying time increased by 1.0 h for cows older than 5.25 years versus younger cows. Conversely, lying time decreased by 1.0 h with stall cleanliness scores >2.5 and by 1.6 h with poorly positioned neck rails. In an interaction term, addition of new bedding at least once a day without removing stall manure at least once a day decreased the daily lying time of the cows by 1.5 h, whereas failure to add new bedding at least once a day but removing stall manure at least once a day decreased the lying time of the cows by 1.2 h. Farm-level risk factors for stall dirtiness (>2.5) included delayed cleaning of the alley (odds ratio [OR]=6.6, p=0.032), lack of bedding (OR=4.9, p=0.008), and standing idle and/or backward in the stall (OR=10.5, p=0.002). Stalls categorized as dirty (OR=2.9, p=0.041) and lack of bedding (OR=2.7, p=0.065) were cow- and farm-level risk factors for dirtiness of the udder (>2.5), respectively, whereas the stall being dirty (OR=2.3, p=0.043) was the only risk factor (cow level) for dirtiness of the upper legs (>2.5). Conclusion: It was recommended that farmers should pay attention to the specific factors identified regarding the stall design (e.g., neck rail position) and bedding/manure management that impact the cleanliness of cows and their lying time.

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Prevalence and risk factors of Cryptosporidium spp. on dairy farms in Bogor

Jurnal Sain Veteriner ◽

10.22146/jsv.55961 ◽

2021 ◽

Vol 39 (1) ◽

pp. 13

Author(s):

Arifin Budiman Nugraha ◽

Umi Cahyaningsih ◽

Etih Sudarnika

Keyword(s):

Risk Factors ◽

Regression Models ◽

Staining Technique ◽

Logistic Regression Models ◽

Factors Associated ◽

Cryptosporidium Spp ◽

Faecal Samples ◽

Common Causes ◽

Potential Risk Factors ◽

Area Data

Cryptosporidial infection is one of the most common causes of diarrhea in humans and livestock worldwide. This study was conducted to estimate the prevalence of Cryptosporidium infection and to identify potential risk factors associated with shedding of oocysts in Bogor. A total of 308 faecal samples were collected from 136 calves less than 6 months, 44 from those 6-12 months and 128 from those than 12 months. Data of factors potentially associated with the likelihood of Cryptosporidium spp. infection were recorded (i.e., enviromental status, size of herd, and herd management). Cryptosporidium spp. oocyst was identified by using modified acid fast (Ziehl Neelsen) staining technique and microscopically examined under 400x magnifition. Results showed that the prevalence of cryptosporidiosis in Bogor was 21.1% (CI 95%; 16.5%-25.6%). The highest prevalence was 29% (CI 95%; 26.8%-31.7%) in cattle aged less than 6 months. The oocysts abundance were around <5 oocysts per microscopy visual area. Data was analyzed using logistic regression models. Statistical analysis showed that there were association between cryptosporidiosis and calves aged less than 6 months with an odds ratio (OR) of 2.7 (CI 95%; 1.5-5.2) times compared with cattle aged more than 12 months.

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