scholarly journals Association between multimorbidity and mortality in a cohort of patients admitted to hospital with COVID-19 in Scotland

2021 ◽  
pp. 014107682110517
Author(s):  
Utkarsh Agrawal ◽  
Amaya Azcoaga-Lorenzo ◽  
Adeniyi Francis Fagbamigbe ◽  
Eleftheria Vasileiou ◽  
Paul Henery ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Risk Factor ◽  
Odds Ratio ◽  
Independent Risk Factor ◽  
Adjusted Odds Ratio ◽  
Death Certificate ◽  
Confounding Factors ◽  
Risk Of Mortality ◽  
Multiplicative Effect ◽  
Subsequent Risk

Objectives We investigated the association between multimorbidity among patients hospitalised with COVID-19 and their subsequent risk of mortality. We also explored the interaction between the presence of multimorbidity and the requirement for an individual to shield due to the presence of specific conditions and its association with mortality. Design We created a cohort of patients hospitalised in Scotland due to COVID-19 during the first wave (between 28 February 2020 and 22 September 2020) of the pandemic. We identified the level of multimorbidity for the patient on admission and used logistic regression to analyse the association between multimorbidity and risk of mortality among patients hospitalised with COVID-19. Setting Scotland, UK. Participants Patients hospitalised due to COVID-19. Main outcome measures Mortality as recorded on National Records of Scotland death certificate and being coded for COVID-19 on the death certificate or death within 28 days of a positive COVID-19 test. Results Almost 58% of patients admitted to the hospital due to COVID-19 had multimorbidity. Adjusting for confounding factors of age, sex, social class and presence in the shielding group, multimorbidity was significantly associated with mortality (adjusted odds ratio 1.48, 95%CI 1.26–1.75). The presence of multimorbidity and presence in the shielding patients list were independently associated with mortality but there was no multiplicative effect of having both (adjusted odds ratio 0.91, 95%CI 0.64–1.29). Conclusions Multimorbidity is an independent risk factor of mortality among individuals who were hospitalised due to COVID-19. Individuals with multimorbidity could be prioritised when making preventive policies, for example, by expanding shielding advice to this group and prioritising them for vaccination.

scholarly journals Interdelivery Interval and Diabetes Mellitus in a Subsequent Pregnancy

2018 ◽  
Vol 36 (10) ◽  
pp. 1039-1044 ◽  
Author(s):  
Annie M. Dude ◽  
Ashley Battarbee ◽  
Lynn M. Yee
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factor ◽  
Odds Ratio ◽  
Independent Risk Factor ◽  
Adjusted Odds Ratio ◽  
Case Control Study ◽  
Case Control ◽  
Subsequent Pregnancy ◽  
Confounding Factors ◽  
Control Study

Objective We determined whether time between deliveries is associated with developing diabetes at the time of a subsequent delivery. Study Design This is a case–control study of women who had two consecutive singleton births at the same institution with no pregestational diabetes in the baseline pregnancy. Cases were defined as women who were diagnosed with any type of diabetes at the time of the subsequent delivery. Controls were defined as women who had no diagnosis of diabetes at the time of the subsequent delivery. Interdelivery interval (IDI) was categorized as < 18, 18 to 60, or > 60 months. Results Of 12,263 women, 4.1% (N = 501) were diagnosed with diabetes at the subsequent delivery. Women with diabetes were more likely to have an IDI of >60 months than women without diabetes (9.0 vs. 4.2%, p < 0.001). After controlling for confounding factors, an IDI > 60 months remained associated with development of pregestational or gestational diabetes by the conclusion of the subsequent pregnancy (adjusted odds ratio = 2.13 compared with an IDI of 18–60 months, 95% confidence interval 1.44–3.15). Conclusion A longer IDI is an independent risk factor for the development of diabetes at the time of a subsequent delivery.

scholarly journals Effect of metabolic syndrome components on the risk of malignancy in patients with gallbladder lesions

2020 ◽  
Author(s):  
Zheng Deng ◽  
Yan Xuan ◽  
Xinxing Li ◽  
William J Crawford ◽  
Zhiqing Yuan ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Risk Factor ◽  
Confidence Interval ◽  
Odds Ratio ◽  
Independent Risk Factor ◽  
Adjusted Odds Ratio ◽  
Fold Increase ◽  
Multivariate Logistic Regression ◽  
Risk Of Malignancy ◽  
Metabolic Syndrome Components

AbstractBackground and AimsThe malignant potential of gallbladder lesions is debated, and there is limited guidance on surveillance. Predicting their risk of malignancy could help clinicians manage and potentially improve prognosis. We evaluated the independent and joint effects of metabolic syndrome components on the risk of malignancy among patients with gallbladder lesions.MethodsUsing a multicenter database, consecutive patients with pathologically confirmed gallbladder lesions between 2012 and 2019 were identified. Univariate and multivariate logistic regression analyses were used to evaluate the effects of metabolic syndrome components (diabetes, hypertension, dyslipidemia, obesity) as additive or combined indicators for the risk of malignancy. Unadjusted and adjusted odds ratios were calculated.ResultsOf the 625 patients, 567 patients were identified with benign gallbladder lesions and 58 patients with gallbladder cancer (GBC). Among all metabolic syndrome components, the proportion of GBC patients with dyslipidemia (63.8%) was significantly greater than benign gallbladder polyps (42.2%, P = 0.002). In multivariate logistic regression analysis, dyslipidemia was associated with a 2.67-fold increase in the risk of GBC (95% confidence interval 1.17-6.09). Dyslipidemia is an independent risk factor for malignancy (adjusted odds ratio 2.164, 95% confidence interval 1.165-4.021), regardless of whether the other risk factors and metabolic syndrome components are combined. Dyslipidemia (adjusted odds ratio 2.164, 95% confidence interval 1.165-4.021) and decreased high-density lipoprotein (HDL, adjusted odds ratio 3.035, 95% confidence interval 1.645-5.600) were closely associated with increased risk of malignancy.ConclusionsDyslipidemia is associated with a 2.67-fold increase in the risk of malignancy, regardless of the presence of other metabolic syndrome components. Dyslipidemia is an independent risk factor for malignancy in patients with gallbladder lesions.

scholarly journals Severe stunting and its associated factors among children aged 6–59 months in Ethiopia; multilevel ordinal logistic regression model

2021 ◽  
Vol 47 (1) ◽  
Author(s):  
Amare Muche ◽  
Reta Dewau
Keyword(s):  
Logistic Regression ◽  
Odds Ratio ◽  
Associated Factors ◽  
Logistic Regression Model ◽  
Adjusted Odds Ratio ◽  
Wealth Index ◽  
Maternal Height ◽  
Severe Stunting ◽  
Mothers And Children ◽  
Ordinal Logistic Regression Model

Abstract Background In Ethiopia, stunting is the most common form of undernutriton. Identifying the determinants of severe stunting among children is crucial for public health interventions to improve child health. Therefore, this study aimed to identify the determinants of severe stunting among under-five children in Ethiopia. Methods A community-based cross-sectional study design was employed. A two stage stratified cluster sampling technique was used. A multilevel ordinal logistic regression model was fitted to identify independent determinants. Adjusted odds ratio (AOR) and median odds ratio (MOR) with its 95% confidence interval at p-value< 0.05 were used to declare statistical significance. Results The result of this study showed that about 18% of the children were severely stunted. Being male increased the severity of stunting in children by 26% adjusted odds ratio (AOR): 1.26 (95% CI: 1.09–1.46), compared to female sex; over-weight mothers increased the severity of stunting in their children AOR: 3.43 (95% CI: 2.21–5.33) compared to normal BMI mothers; and children from middle, poorer, and poorest wealth index households were 1.84 (95% CI:1.27–2.67), 2.13 (95% CI, CI:1.45–3.14) and 2.52 (95% CI,1.72–3.68). In contrast, severe stunting was reduced by 62% (AOR: 0.38, 95% CI: 0.20–0.74) and 48% (AOR = 0.52, 95% CI: 0.37–0.72) in children of educated mothers compared to children of uneducated mothers and children of underweight mothers compared with those children of normal BMI mothers respectively. For each one-unit increase in maternal height, there is a 5% significant reduction in the child’s odds of being severely stunted. After controlling for other factors, the effect of predictors on the likelihood of stunting in high risk clusters increased by a median odds ratio (MOR) of 1.83 (95% CI: 1.69–2.00). Conclusions The magnitude of severe childhood stunting was still high with regional variation in Ethiopia. Child age, sex, maternal height, age, education and household wealth index as well as administrative regions were significantly associated factors with severe stunting. Significant interventions shall be implemented at the individual, household and community levels in order to reduce the problem.

scholarly journals The Association of Familial Hypertension and Risk of Gestational Hypertension and Preeclampsia

2021 ◽  
Vol 18 (13) ◽  
pp. 7045
Author(s):  
Małgorzata Lewandowska
Keyword(s):  
Risk Factor ◽  
Pregnant Women ◽  
Odds Ratio ◽  
Independent Risk Factor ◽  
Gestational Hypertension ◽  
First Trimester ◽  
Chronic Hypertension ◽  
Modifiable Factors ◽  
The Family ◽  
Maternal Hypertension

It has not been established how history of hypertension in the father or mother of pregnant women, combined with obesity or smoking, affects the risk of main forms of pregnancy-induced hypertension. A cohort of 912 pregnant women, recruited in the first trimester, was assessed; 113 (12.4%) women developed gestational hypertension (GH), 24 (2.6%) developed preeclampsia (PE) and 775 women remained normotensive (a control group). Multiple logistic regression was used to calculate adjusted odds ratios (AOR) (and 95% confidence intervals) of GH and PE for chronic hypertension in the father or mother of pregnant women. Some differences were discovered. (1) Paternal hypertension (vs. absence of hypertension in the family) was an independent risk factor for GH (AOR-a = 1.98 (1.2–3.28), p = 0.008). This odds ratio increased in pregnant women who smoked in the first trimester (AOR-a = 4.71 (1.01–21.96); p = 0.048) or smoked before pregnancy (AOR-a = 3.15 (1.16–8.54); p = 0.024), or had pre-pregnancy overweight (AOR-a = 2.67 (1.02–7.02); p = 0.046). (2) Maternal hypertension (vs. absence of hypertension in the family) was an independent risk factor for preeclampsia (PE) (AOR-a = 3.26 (1.3–8.16); p = 0.012). This odds ratio increased in the obese women (AOR-a = 6.51 (1.05–40.25); p = 0.044) and (paradoxically) in women who had never smoked (AOR-a = 5.31 (1.91–14.8); p = 0.001). Conclusions: Chronic hypertension in the father or mother affected the risk of preeclampsia and gestational hypertension in different ways. Modifiable factors (overweight/obesity and smoking) may exacerbate the relationships in question, however, paradoxically, beneficial effects of smoking for preeclampsia risk are also possible. Importantly, paternal and maternal hypertension were not independent risk factors for GH/PE in a subgroup of women with normal body mass index (BMI).

scholarly journals Analysis models for variables associated with breastfeeding duration

2013 ◽  
Vol 31 (3) ◽  
pp. 306-314 ◽  
Author(s):  
Edson Theodoro dos S. Neto ◽  
Eliana Zandonade ◽  
Adauto Oliveira Emmerich
Keyword(s):  
Logistic Regression ◽  
Protective Factors ◽  
Regression Model ◽  
Odds Ratio ◽  
Regression Models ◽  
Adjusted Odds Ratio ◽  
Cox Regression ◽  
Bottle Feeding ◽  
Breastfeeding Duration ◽  
Factors Associated

OBJECTIVE To analyze the factors associated with breastfeeding duration by two statistical models. METHODS A population-based cohort study was conducted with 86 mothers and newborns from two areas primary covered by the National Health System, with high rates of infant mortality in Vitória, Espírito Santo, Brazil. During 30 months, 67 (78%) children and mothers were visited seven times at home by trained interviewers, who filled out survey forms. Data on food and sucking habits, socioeconomic and maternal characteristics were collected. Variables were analyzed by Cox regression models, considering duration of breastfeeding as the dependent variable, and logistic regression (dependent variables, was the presence of a breastfeeding child in different post-natal ages). RESULTS In the logistic regression model, the pacifier sucking (adjusted Odds Ratio: 3.4; 95%CI 1.2-9.55) and bottle feeding (adjusted Odds Ratio: 4.4; 95%CI 1.6-12.1) increased the chance of weaning a child before one year of age. Variables associated to breastfeeding duration in the Cox regression model were: pacifier sucking (adjusted Hazard Ratio 2.0; 95%CI 1.2-3.3) and bottle feeding (adjusted Hazard Ratio 2.0; 95%CI 1.2-3.5). However, protective factors (maternal age and family income) differed between both models. CONCLUSIONS Risk and protective factors associated with cessation of breastfeeding may be analyzed by different models of statistical regression. Cox Regression Models are adequate to analyze such factors in longitudinal studies.

scholarly journals Stunting at birth and associated factors among newborns delivered at the University of Gondar Comprehensive Specialized Referral Hospital

PLoS ONE ◽  
2021 ◽  
Vol 16 (1) ◽  
pp. e0245528
Author(s):  
Almaz Tefera Gonete ◽  
Bogale Kassahun ◽  
Eskedar Getie Mekonnen ◽  
Wubet Worku Takele
Keyword(s):  
Logistic Regression ◽  
Birth Weight ◽  
Low Birth Weight ◽  
Short Stature ◽  
Odds Ratio ◽  
Associated Factors ◽  
Adjusted Odds Ratio ◽  
Referral Hospital ◽  
Factors Associated ◽  
The University

Background Stunting at birth is a chronic form of undernutrition majorly attributable to poor prenatal nutrition, which could persist in children’s later life and impact their physical and cognitive health. Although multiple studies have been conducted in Ethiopia to show the magnitude of stunting and factors, all are concentrated on children aged between 6 to 59 months. Therefore, this study was done to determine the prevalence and associated factors of stunting at birth among newborns delivered at the University of Gondar Comprehensive Specialized Referral Hospital, Northwest, Ethiopia. Methods An institution-based cross-sectional study was conducted from February 26th to April 25th/2020. A systematic random sampling technique was used, to select a total of 422 newborn-mother pairs. The binary logistic regression was employed to identify factors associated with stunting and all independent variables were entered into the multivariable logistic regression model to adjust for confounders. Variables that had significant association were identified based on p-value < 0.05 and the adjusted odds ratio with its respective 95% confidence interval was applied to determine the strength as well as the direction of the association. Results About 30.5% (95% CI: 26.3%, 35.1%) of newborns were stunted at birth. Being male [Adjusted odds ratio (AOR) = 2.9(1.62, 5.21)], newborns conceived in Kiremt(rainy season) [AOR = 2.7(1.49, 4.97)], being low birth weight [AOR = 3.1(1.64, 6.06)] were factors associated with stunting at birth. Likewise, newborns born to short stature mothers [AOR = 2.8(1.21, 6.62)] and chronically malnourished mothers [AOR = 15.3(8.12, 29.1)] were at greater risk of being stunted. Conclusion Just under a third of newborns are stunted at birth, implying a pressing public health problem. Newborns born to chronically malnourished and short stature mothers were more stunted. Besides, stunting was prevalently observed among male neonates, newborns conceived in Kiremet, and being low birth weight. Thus, policymakers and nutrition programmers should work on preventing maternal undernutrition through nutrition education to reduce the burden of low birth weight and stunting. Further, paying due attention to newborns conceived in Kiremet season to improve nutritional status is recommended.

scholarly journals Labor Dystocia and Risk of Histological Chorioamnionitis and Funisitis: A Study from a Single Tertiary Referral Center

2020 ◽  
Author(s):  
Hyo Kyozuka ◽  
Tuyoshi Murata ◽  
Toma Fukuda ◽  
Shun Yasuda ◽  
Aya Kanno ◽  
...  
Keyword(s):  
Risk Factor ◽  
Preterm Birth ◽  
Confidence Interval ◽  
Umbilical Cord ◽  
Odds Ratio ◽  
Adjusted Odds Ratio ◽  
Neonatal Outcomes ◽  
Spontaneous Preterm Birth ◽  
Labor Dystocia

Abstract Background: Intrauterine inflammation affects short- and long-term neonatal outcomes. Histological chorioamnionitis and funisitis are acute inflammatory responses in the fetal membranes and umbilical cord, respectively. Although labor dystocia includes a potential risk of intrauterine inflammation, the risk of labor dystocia in histological chorioamnionitis and funisitis has not been evaluated yet. This study aimed to examine the association between labor dystocia and risk of histological chorioamnionitis and funisitis.Methods: In this retrospective cohort study, the patients who underwent histopathological examinations of the placenta and umbilical cord at Fukushima Medical University Hospital, Japan, between 2015 and 2020, were included. From the dataset, the pathological findings of the patients with labor dystocia and spontaneous preterm birth were reviewed. Based on the location of leukocytes, the inflammation in the placenta (histological chorioamnionitis) and umbilical cord (funisitis) was graded as 0–3. Multiple logistic regression analysis was performed to evaluate the risk of histological chorioamnionitis, histological chorioamnionitis stage ≥2, funisitis, and funisitis stage ≥2.Result: Of 317 women who met the study criteria, 83 and 144 women had labor dystocia and spontaneous preterm birth, respectively, and 90 women were included as controls. Labor dystocia was a risk factor for histological chorioamnionitis (adjusted odds ratio, 6.3; 95% confidential interval, 1.9-20.5), histological chorioamnionitis stage ≥2 (adjusted odds ratio, 6.0; 95% confidence interval, 1.7-21.8), funisitis (adjusted odds ratio, 9.4; 95% confidence interval, 1.8-48.2), and funisitis stage ≥2 (adjusted odds ratio, 23.5; 95% confidence interval, 2.3-23.8). Spontaneous preterm birth was also a risk factor for histological chorioamnionitis (adjusted odds ratio, 3.7; 95% confidence interval, 1.7-7.8), histological chorioamnionitis stage ≥2 (adjusted odds ratio, 3.0; 95% confidence interval, 1.2-7.9), and funisitis (adjusted odds ratio, 4.5; 95% confidence interval, 1.2-16.8). However, the adjusted odds ratio was smaller in spontaneous preterm births than in labor dystocia. Conclusion: Labor dystocia is a risk factor for severe histological chorioamnionitis and funisitis. Further studies are required to evaluate the effects of histological chorioamnionitis and funisitis on long-term neonatal outcomes.

scholarly journals O8C.1 A probabilistic bias-analysis method for evaluating disease misclassification in a historical cohort mortality study of trichlorophenol workers

2019 ◽  
Vol 76 (Suppl 1) ◽  
pp. A74.1-A74
Author(s):  
Laura Scott ◽  
George Maldonado
Keyword(s):  
Odds Ratio ◽  
Adjusted Odds Ratio ◽  
Death Certificate ◽  
Geometric Mean ◽  
Analysis Method ◽  
Bias Analysis ◽  
Historical Cohort ◽  
Cell Counts ◽  
Differential Misclassification ◽  
Parameter Distributions

Occupational epidemiologists have long considered death certificate inaccuracies a critical issue when conducting historical cohort mortality (HCM) studies. However, the vast majority of these types of studies do not include a quantitative assessment of the impact of disease misclassification on study results. We developed a probabilistic bias-analysis method to evaluate the effect of disease misclassification using ischemic heart disease (IHD) mortality data from a cohort study of New Zealand trichlorophenol workers exposed to 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD). The sensitivity and specificity of IHD death certificate diagnoses in high income countries, as described in 14 peer-reviewed validation studies, were used to construct bias parameter distributions for nine simulation scenarios. We defined the parameter distributions for a non-differential disease misclassification scenario first, using a beta distribution for the sensitivity parameters and a maximum extreme distribution for the specificity parameters. To evaluate the potential effects of differential misclassification, we also varied the distribution peaks for the highest and lowest exposure categories. As before, a beta distribution was used for all the sensitivity parameters. However, both maximum and minimum extreme distributions were used for specificity parameters in these scenarios. For each scenario, the specified sensitivity and specificity distributions were sampled using Monte Carlo techniques. The inverse matrix of the sampled classification proportions was then multiplied by the vector of observed cell counts to generate a vector of cell counts adjusted for disease misclassification, which were used to calculate an adjusted odds ratio. When misclassification was differential, the geometric mean adjusted odds ratio ranged from 1.9 to 4.9 with study error resulting in bias both away from and toward the null. Under the assumption of non-differential misclassification, the geometric mean adjusted odds ratio was slightly smaller than the unadjusted estimate. Probabilistic bias analysis can be a useful tool for evaluating study error in historical cohort mortality studies.

scholarly journals Effects of Older Adult Driving Resumption on All-Cause Mortality

2019 ◽  
Vol 75 (10) ◽  
pp. 2263-2267
Author(s):  
Kendra L Ratnapradipa ◽  
Jing Wang ◽  
Marla Berg-Weger ◽  
and Mario Schootman
Keyword(s):  
Logistic Regression ◽  
Older Adult ◽  
Mortality Risk ◽  
Odds Ratio ◽  
Regression Models ◽  
Adjusted Odds Ratio ◽  
Community Dwelling ◽  
Driving Cessation ◽  
Logistic Regression Models ◽  
All Cause Mortality

Abstract Objectives Driving cessation is associated with adverse social and health outcomes including increased mortality risk. Some former drivers resume driving. Do resumed drivers have a different mortality risk compared to former drivers or continued drivers? Method We analyzed National Health and Aging Trends Study (2011–2015) data of community-dwelling self-responding ever drivers (n = 6,189) with weighted stratified life tables and discrete time logistic regression models to characterize mortality risk by driving status (continued, resumed, former), adjusting for relevant sociodemographic and health variables. Results Overall, 14% (n = 844) of participants died and 52% (n = 3,209) completed Round 5. Former drivers had the highest mortality (25%), followed by resumed (9%) and continued (6%) drivers. Former drivers had 2.4 times the adjusted odds of mortality compared with resumed drivers (adjusted odds ratio [aOR] = 2.41; 95% confidence interval [CI] = 1.51, 3.83), with no difference between continued and resumed drivers (aOR = 1.22; 95% CI = 0.74, 1.99). Discussion Those who resumed driving had better survival than those who did not. Practice implications include driver rehabilitation and retraining to safely promote and prolong driving.

14-3-3η Protein in Rheumatoid Arthritis: Promising Diagnostic Marker and Independent Risk Factor for Osteoporosis

2020 ◽  
Vol 51 (5) ◽  
pp. 529-539
Author(s):  
Tingting Zeng ◽  
Liming Tan ◽  
Yang Wu ◽  
Jianlin Yu
Keyword(s):  
Rheumatoid Arthritis ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Risk Factor ◽  
Logistic Regression Analysis ◽  
Independent Risk Factor ◽  
Multiple Logistic Regression Analysis ◽  
Area Under The Curve ◽  
Enzyme Linked Immunosorbent Assay ◽  
Disease Monitoring

Abstract Background Early identification and disease monitoring are challenges facing rheumatologists in the management of rheumatoid arthritis (RA). Methods We utilized enzyme-linked immunosorbent assay (ELISA) to determine 14-3-3η and anticyclic citrullinated peptide antibody (anti-CCP) levels, with rheumatoid factor (RF) level detected by rate nephelometry. The diagnostic value of each index was determined via receiver operating characteristic (ROC) curve, and the association between 14-3-3η and osteoporosis was assessed using multiple logistic regression analysis. Results Serum levels of 14-3-3η were 3.26 ng per mL in patients with RA. These levels were helpful in identifying patients with the disease, with the area under the curve (AUC) being 0.879 and 0.853, respectively, from all healthy control individuals and patients with RA. Combining 14-3-3η with RF or anti-CCP increased the diagnostic rate. Logistic regression analysis identified 14-3-3η as an independent risk factor for RA-related osteoporosis (odds ratio [OR], 1.503; 95% confidence interval [CI], 1.116–2.025; P &lt;.01). Conclusions Serum 14-3-3η detection by itself or combined with other serum indices was helpful in differentiating patients with RA. Also, it was a promising biomarker for disease monitoring in RA.

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