scholarly journals Association of Pre-COVID-19 Lymphocytopenia with Fatality

2020 ◽  
Author(s):  
W.R. Burack ◽  
P. Rock ◽  
D. Burton ◽  
X. Cai
Keyword(s):  
Logistic Regression ◽  
Regression Model ◽  
Lymphocyte Count ◽  
Blood Count ◽  
Logistic Regression Model ◽  
Complete Blood Count ◽  
Absolute Lymphocyte Count ◽  
Bivariate Analysis ◽  
Regional Laboratory ◽  
The Absolute

AbstractLymphocytopenia during the COVID-19 has been associated with fatality. We tested whether pre-existing lymphocytopenia reported prior to any possible exposure to SARS-COV2 (from 2010 to 2019) was associated with fatality. Using all patients diagnosed on testing in a single regional laboratory, we identified 1137 subjects with PCR positive for SARS-COV2 and at least one available complete blood count from the decade prior to any possible exposure to the virus. Bivariate analysis indicated an association between pre-existing lymphocytopenia (defined as absolute lymphocyte count <0.9×109 /L) and fatality (18% versus 4%). Furthermore, a logistic regression model, accounting for both patient age and number of blood counts obtained, indicated the subjects with pre-existing lymphocytopenia were 1.4 times as likely to die. Because the absolute lymphocyte count is almost universally available and easily interpreted, this biomarker of the risk of fatality could be widely useful.

scholarly journals Prediction of Hospital Mortality Rates by Admission Laboratory Tests

2006 ◽  
Vol 52 (2) ◽  
pp. 325-328 ◽  
Author(s):  
Paul Froom ◽  
Zvi Shimoni
Keyword(s):  
Internal Medicine ◽  
Logistic Regression ◽  
Confidence Interval ◽  
Regression Model ◽  
Odds Ratio ◽  
Laboratory Tests ◽  
Logistic Regression Model ◽  
Complete Blood Count ◽  
Laboratory Data ◽  
Regional Hospital

Abstract Background: The aim of this study was to explore whether electronically retrieved laboratory data can predict mortality in internal medicine departments in a regional hospital. Methods: All 10 308 patients hospitalized in internal medicine departments over a 1-year period were included in the cohort. Nearly all patients had a complete blood count and basic clinical chemistries on admission. We used logistic regression analysis to predict the 573 deaths (5.6%), including all variables that added significantly to the model. Results: Eight laboratory variables and age significantly and independently contributed to a logistic regression model (area under the ROC curve, 88.7%). The odds ratio for the final model per quartile of risk was 6.44 (95% confidence interval, 5.42–7.64), whereas for age alone, the odds ratio per quartile was 2.01 (95% confidence interval, 1.84–2.19). Conclusions: A logistic regression model including only age and electronically retrieved laboratory data highly predicted mortality in internal medicine departments in a regional hospital, suggesting that age and routine admission laboratory tests might be used to ensure a fair comparison when using mortality monitoring for hospital quality control.

scholarly journals Drowning of Under 18 Children in Bangladesh: Analysis of Risk Factors Using MICS 2006 Data

2016 ◽  
Vol 64 (1) ◽  
pp. 21-24
Author(s):  
Farzana Chowdhury ◽  
Jahida Gulshan
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Model ◽  
Cause Of Death ◽  
Logistic Regression Model ◽  
Wealth Index ◽  
Bivariate Analysis ◽  
Prone Area ◽  
Flood Prone Area ◽  
Significant Factors

In Bangladesh, drowning is the single leading cause of death among children aged 1 to 17 years. With a view of measuring the drowning of under 18 children in Bangladesh, this paper attempts to analyze different factors responsible for drowning by using the MICS 2006 data. Bivariate analysis is employed to examine the factors related to drowning and logistic regression model is used to determine the contribution of different significant factors to drowning. This study found that divisions, residing in flood prone area or riverbank and wealth index have significant association with drowning. Children residing in flood prone area and riverbank have greater risk of drowning as compared to their counterparts.Dhaka Univ. J. Sci. 64(1): 21-24, 2016 (January)

scholarly journals Socio-Economic Situation and Substance Use Disorder Influences on Safety Practices among Truckers

2020 ◽  
Vol 14 (1) ◽  
pp. 78-85 ◽  
Author(s):  
Adeyinka P. Ajayi ◽  
Sonwabo P. Mazinyo
Keyword(s):  
Substance Use ◽  
Logistic Regression ◽  
Regression Model ◽  
Marital Status ◽  
Substance Use Disorder ◽  
Logistic Regression Model ◽  
Educational Status ◽  
Petroleum Products ◽  
Economic Situation ◽  
Bivariate Analysis

Background: The study examined the nexus between Social Economic Situation (SES) and Substance Use Disorder (SUD) and the influence the two exerted on willingness to comply with Health Safety and Environment (HSE) guiding the conveyance of petroleum products among truckers in Ibadan metropolis, Nigeria. Methods: Multistage and simple random sampling techniques were utilized to obtain the 265 respondents who are professional haulers and necessary information on the study objectives were obtained through self-reporting designed questionnaire. Bivariate statistical analysis and Logistic Regression Model were also used in ascertaining the existence of relationships among the dependent and independent variables. Results: The result from the bivariate analysis showed the existence of an association between two SES variables of age [X2 (9) 17.05, p=0.04] and literacy level[X2 (9) 41.36 p=0.00] and SUD. While the marital status of the respondents did not significantly influence the incidences of SUD [X2 (9) 9.841 p=0.36].Furthermore, a Logistic Regression Model (LRM) examined the relationship between dichotomous dependent variable (compliance or non-compliance to HSE stipulations guiding the conveyance of petroleum products) and the different independent explanatory variables (Age, Marital Status, Educational Status and SUD). The Wald criterion demonstrated that marital status (p=.000), educational status (p=.000) and attitude to SUD (p=.000) all made significant contributions to the prediction (compliance) while age (p=.861) was not a significant predictor. Conclusion: The study recommends the importance of non-economic factors (like literacy and marital status) in the achievement of sustainable HSE stipulations guiding the conveyance of petroleum products.

A Quantitative Ultrastructural Study of Peripheral Blood Lymphocytes Containing Parallel Tubular Arrays in Epstein-Barr Virus and Cytomegalo-Virus Mononucleosis

1981 ◽  
Vol 39 ◽  
pp. 454-455
Author(s):  
C. M. Payne ◽  
P. M. Tennican
Keyword(s):  
Peripheral Blood ◽  
Lymphocyte Count ◽  
Epstein Barr Virus ◽  
Absolute Lymphocyte Count ◽  
Peripheral Blood Lymphocytes ◽  
Clinical State ◽  
Barr Virus ◽  
The Absolute ◽  
Epstein Barr ◽  
Tubular Arrays

In the normal peripheral circulation there exists a sub-population of lymphocytes which is ultrastructurally distinct. This lymphocyte is identified under the electron microscope by the presence of cytoplasmic microtubular-like inclusions called parallel tubular arrays (PTA) (Figure 1), and contains Fc-receptors for cytophilic antibody. In this study, lymphocytes containing PTA (PTA-lymphocytes) were quantitated from serial peripheral blood specimens obtained from two patients with Epstein -Barr Virus mononucleosis and two patients with cytomegalovirus mononucleosis. This data was then correlated with the clinical state of the patient.It was determined that both the percentage and absolute number of PTA- lymphocytes was highest during the acute phase of the illness. In follow-up specimens, three of the four patients' absolute lymphocyte count fell to within normal limits before the absolute PTA-lymphocyte count.In one patient who was followed for almost a year, the absolute PTA- lymphocyte count was consistently elevated (Figure 2). The estimation of absolute PTA-lymphocyte counts was determined to be valid after a morphometric analysis of the cellular areas occupied by PTA during the acute and convalescent phases of the disease revealed no statistical differences.

scholarly journals Work absence and multimorbidity in Portugal: results from the 1st National Health Examination Survey

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
J Matos ◽  
C Matias Dias ◽  
A Félix
Keyword(s):  
Logistic Regression ◽  
Regression Model ◽  
Chronic Diseases ◽  
National Health ◽  
Logistic Regression Model ◽  
Health Examination ◽  
Work Absence ◽  
Health Examination Survey ◽  
Absence From Work ◽  
The Impact

Abstract Background Studies on the impact of patients with multimorbidity in the absence of work indicate that the number and type of chronic diseases may increase absenteeism and that the risk of absence from work is higher in people with two or more chronic diseases. This study analyzed the association between multimorbidity and greater frequency and duration of work absence in the portuguese population between the ages of 25 and 65 during 2015. Methods This is an epidemiological, observational, cross-sectional study with an analytical component that has its source of information from the 1st National Health Examination Survey. The study analyzed univariate, bivariate and multivariate variables under study. A multivariate logistic regression model was constructed. Results The prevalence of absenteeism was 55,1%. Education showed an association with absence of work (p = 0,0157), as well as professional activity (p = 0,0086). It wasn't possible to verify association between the presence of chronic diseases (p = 0,9358) or the presence of multimorbidity (p = 0,4309) with absence of work. The prevalence of multimorbidity was 31,8%. There was association between age (p &lt; 0,0001), education (p &lt; 0,001) and yield (p = 0,0009) and multimorbidity. There is no increase in the number of days of absence from work due to the increase in the number of chronic diseases. In the optimized logistic regression model the only variables that demonstrated association with the variable labor absence were age (p = 0,0391) and education (0,0089). Conclusions The scientific evidence generated will contribute to the current discussion on the need for the health and social security system to develop policies to patients with multimorbidity. Key messages The prevalence of absenteeism and multimorbidity in Portugal was respectively 55,1% and 31,8%. In the optimized model age and education demonstrated association with the variable labor absence.

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