scholarly journals COVID-19 associated hospitalization in 571 patients with fibromyalgia—A population-based study

PLoS ONE ◽  
2021 ◽  
Vol 16 (12) ◽  
pp. e0261772
Author(s):  
Mor Amital ◽  
Niv Ben-Shabat ◽  
Howard Amital ◽  
Dan Buskila ◽  
Arnon D. Cohen ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Model ◽  
Logistic Regression Model ◽  
Multivariable Analysis ◽  
Population Based ◽  
Female Dominance ◽  
Categorical Variables ◽  
Continuous Variables ◽  
Multivariable Logistic Regression Model ◽  
Population Based Study

Objective To identify predicators of patients with fibromyalgia (FM) that are associated with a severe COVID-19 disease course. Methods We utilized the data base of the Clalit Health Services (CHS); the largest public organization in Israel, and extracted data concerning patients with FM. We matched two subjects without FM to each subject with FM by sex and age and geographic location. Baseline characteristics were evaluated by t-test for continuous variables and chi-square for categorical variables. Predictors of COVID-19 associated hospitalization were identified using univariable logistic regression model, significant variables were selected and analyzed by a multivariable logistic regression model. Results The initial cohort comprised 18,598 patients with FM and 36,985 matched controls. The mean age was 57.5± 14.5(SD), with a female dominance of 91%. Out of this cohort we extracted the study population, which included all patients contracted with COVID-19, and consisted of 571 patients with FM and 1008 controls. By multivariable analysis, the following variables were found to predict COVID-19 associated hospitalization in patients with FM: older age (OR, 1.25; CI, 1.13–1.39; p<0.001), male sex (OR, 2.63; CI, 1.18–5.88; p<0.05) and hypertension (OR, 1.75; CI, 1.04–2.95; p<0.05). Conclusion The current population-based study revealed that FM per se was not directly associated with COVID-19 hospitalization or related mortality. Yet classical risk factors endangering the general population were also relevant among patients with FM.

Glaucoma may be a non-memory manifestation of Alzheimer's disease in older people

2017 ◽  
Vol 29 (9) ◽  
pp. 1535-1541 ◽  
Author(s):  
Shih-Wei Lai ◽  
Cheng-Li Lin ◽  
Kuan-Fu Liao
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Logistic Regression ◽  
Older People ◽  
Regression Model ◽  
Logistic Regression Model ◽  
Population Based ◽  
Multivariable Logistic Regression Model ◽  
Retrospective Case ◽  
Taiwan National Health Insurance

ABSTRACTBackground:The purpose of this paper was to examine whether glaucoma could be a non-memory manifestation of Alzheimer's disease in older people.Methods:We conducted a population-based, retrospective, case-control study to analyze the database of the Taiwan National Health Insurance Program. There were 1,351 subjects ≥65 years old with newly diagnosed Alzheimer's disease as the cases, and 5,329 subjects without any type of dementias as the controls during 2000–2011. The odds ratio (OR) and 95% confidence interval (CI) for the risk of Alzheimer's disease associated with glaucoma was estimated by the multivariable unconditional logistic regression model.Results:After controlling for confounders, the multivariable logistic regression model demonstrated that the adjusted OR of Alzheimer's disease was 1.50 in subjects with glaucoma (95% CI 1.19, 1.89), compared to subjects without glaucoma.Conclusions:Older people with glaucoma are associated with 1.5-fold increased odds of Alzheimer's disease in Taiwan. Glaucoma may be a non-memory manifestation of Alzheimer's disease in older people. Further research is needed to confirm this issue.

scholarly journals Effect of fluid administration on scene to traffic accident patients by EMS personnel: a propensity score-matched study using population-based ambulance records and nationwide trauma registry in Japan

2021 ◽  
Author(s):  
Yusuke Katayama ◽  
Tetsuhisa Kitamura ◽  
Kosuke Kiyohara ◽  
Kenichiro Ishida ◽  
Tomoya Hirose ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Propensity Score ◽  
Hospital Mortality ◽  
Regression Model ◽  
Traffic Accident ◽  
Logistic Regression Model ◽  
Cardiopulmonary Arrest ◽  
Population Based ◽  
Fluid Administration ◽  
Secondary Outcome

Abstract Purpose The aim of this study was to assess the effect of fluid administration by emergency life-saving technicians (ELST) on the prognosis of traffic accident patients by using a propensity score (PS)-matching method. Methods The study included traffic accident patients registered in the JTDB database from January 2016 to December 2017. The main outcome was hospital mortality, and the secondary outcome was cardiopulmonary arrest on hospital arrival (CPAOA). To reduce potential confounding effects in the comparisons between two groups, we estimated a propensity score (PS) by fitting a logistic regression model that was adjusted for 17 variables before the implementation of fluid administration by ELST at the scene. Results During the study period, 10,908 traffic accident patients were registered in the JTDB database, and we included 3502 patients in this study. Of these patients, 142 were administered fluid by ELST and 3360 were not administered fluid by ELST. After PS matching, 141 patients were selected from each group. In the PS-matched model, fluid administration by ELST at the scene was not associated with discharge to death (crude OR: 0.859 [95% CI, 0.500–1.475]; p = 0.582). However, the fluid group showed statistically better outcome for CPAOA than the no fluid group in the multiple logistic regression model (adjusted OR: 0.231 [95% CI, 0.055–0.967]; p = 0.045). Conclusion In this study, fluid administration to traffic accident patients by ELST was associated not with hospital mortality but with a lower proportion of CPAOA.

scholarly journals Machine-Learning vs. Expert-Opinion Driven Logistic Regression Modelling for Predicting 30-Day Unplanned Rehospitalisation in Preterm Babies: A Prospective, Population-Based Study (EPIPAGE 2)

2021 ◽  
Vol 8 ◽  
Author(s):  
Robert A. Reed ◽  
Andrei S. Morgan ◽  
Jennifer Zeitlin ◽  
Pierre-Henri Jarreau ◽  
Héloïse Torchin ◽  
...  
Keyword(s):  
Machine Learning ◽  
Logistic Regression ◽  
Random Forest ◽  
Regression Model ◽  
Expert Opinion ◽  
Logistic Regression Model ◽  
Population Based ◽  
Regression Modelling ◽  
Preterm Babies ◽  
Logistic Regression Modelling

Introduction: Preterm babies are a vulnerable population that experience significant short and long-term morbidity. Rehospitalisations constitute an important, potentially modifiable adverse event in this population. Improving the ability of clinicians to identify those patients at the greatest risk of rehospitalisation has the potential to improve outcomes and reduce costs. Machine-learning algorithms can provide potentially advantageous methods of prediction compared to conventional approaches like logistic regression.Objective: To compare two machine-learning methods (least absolute shrinkage and selection operator (LASSO) and random forest) to expert-opinion driven logistic regression modelling for predicting unplanned rehospitalisation within 30 days in a large French cohort of preterm babies.Design, Setting and Participants: This study used data derived exclusively from the population-based prospective cohort study of French preterm babies, EPIPAGE 2. Only those babies discharged home alive and whose parents completed the 1-year survey were eligible for inclusion in our study. All predictive models used a binary outcome, denoting a baby's status for an unplanned rehospitalisation within 30 days of discharge. Predictors included those quantifying clinical, treatment, maternal and socio-demographic factors. The predictive abilities of models constructed using LASSO and random forest algorithms were compared with a traditional logistic regression model. The logistic regression model comprised 10 predictors, selected by expert clinicians, while the LASSO and random forest included 75 predictors. Performance measures were derived using 10-fold cross-validation. Performance was quantified using area under the receiver operator characteristic curve, sensitivity, specificity, Tjur's coefficient of determination and calibration measures.Results: The rate of 30-day unplanned rehospitalisation in the eligible population used to construct the models was 9.1% (95% CI 8.2–10.1) (350/3,841). The random forest model demonstrated both an improved AUROC (0.65; 95% CI 0.59–0.7; p = 0.03) and specificity vs. logistic regression (AUROC 0.57; 95% CI 0.51–0.62, p = 0.04). The LASSO performed similarly (AUROC 0.59; 95% CI 0.53–0.65; p = 0.68) to logistic regression.Conclusions: Compared to an expert-specified logistic regression model, random forest offered improved prediction of 30-day unplanned rehospitalisation in preterm babies. However, all models offered relatively low levels of predictive ability, regardless of modelling method.

Abstract 211: Association of Patient Characteristics With the Initiation of Dabigatran Versus Warfarin Among Anticoagulant Naive Patients With Non-valvular Atrial Fibrillation

2013 ◽  
Vol 6 (suppl_1) ◽  
Author(s):  
David R Walker ◽  
Jasmina Ivanova ◽  
Keith A Betts ◽  
Sapna Rao ◽  
Eric Q Wu
Keyword(s):  
Atrial Fibrillation ◽  
Logistic Regression ◽  
Regression Model ◽  
Primary Care Physicians ◽  
Online Survey ◽  
Logistic Regression Model ◽  
Stroke Risk ◽  
Dabigatran Etexilate ◽  
Patient Characteristics ◽  
Categorical Variables

Background and Objective: Dabigatran etexilate (DE) and warfarin, both oral anticoagulants used for stroke risk reduction in patients with non-valvular atrial fibrillation (NVAF), have been or are being compared in several comparative effectiveness studies. Understanding patient characteristics of those prescribed DE vs. warfarin are important for interpreting such studies. The objective of this study is to identify the characteristics that differentiate NVAF patients prescribed DE versus warfarin as first-line anticoagulation. Methods: An online survey was administered in October 2012 to an established panel of cardiologists and primary care physicians (PCPs) in the US. Physicians were asked to identify medical charts of their patients diagnosed with NVAF and who had at least one prescription for DE or warfarin between 1/1/2011 and 6/30/2012. Patients were further required to be anticoagulant naïve prior to the first prescription of DE or warfarin. A computer generated random dice was applied to direct the random selection of the patients. Patient characteristics, comorbidities and clinical risk measures were compared between DE and warfarin patients using Chi-square tests for categorical variables and t-tests for continuous variables. A logistic regression model was utilized to evaluate patient characteristics associated with DE vs. warfarin use among anticoagulant naïve NVAF patients. Results: A total of 288 physicians (144 cardiologists and 144 PCPs) completed the survey. 262 medical records for DE patients and 247 for warfarin patients were randomly selected. The mean age of the DE and warfarin patients, respectively were 61.6 and 65.8 years (p < 0.01). The proportion of females was 20.6% and 41.7% in the DE and warfarin patients respectively (p<0.01). 86.3% of DE patients vs. 68.4% of warfarin patients were Caucasian (p<0.01). Other differences between DE and warfarin patients respectively included: previous myocardial infarction (3.8%, 9.3%; p<0.05), previous transient ischemic attack (8.4%, 16.2%; p <0.01), and CHA 2 DS 2 -VASc stroke risk score (2.21, 2.98; p<0.01). The logistic regression model found age (OR = 0.96; p=0.001), female gender (OR=0.46; p = 0.002), Hispanic/Latino (OR = 0.33; p=.007), Black (OR= 0.37; p = 0.006), and > 6 months and < 1 year for time from first NVAF diagnosis to first prescription date (OR = 0.38; p = 0.02) were associated with initiation of DE vs. warfarin. However, CHA 2 DS 2 -VASc was not found to be a significant predictor of anticoagulant prescription. Conclusions: Patients who are younger, male, Caucasian, and recently diagnosed with NVAF were significantly more likely to be initiated by their physician on DE vs. warfarin. These findings should be considered when doing comparative analyses of outcomes between patients on DE vs. warfarin.

scholarly journals 1244. Evaluation of Intraoperative Topical Vancomycin and the Incidence of Acute Kidney Injury

2019 ◽  
Vol 6 (Supplement_2) ◽  
pp. S448-S448
Author(s):  
Alison L Blackman ◽  
Sabeen Ali ◽  
Xin Gao ◽  
Rosina Mesumbe ◽  
Carly Cheng ◽  
...  
Keyword(s):  
Risk Factors ◽  
Acute Kidney Injury ◽  
Logistic Regression ◽  
Serum Creatinine ◽  
Regression Model ◽  
Logistic Regression Model ◽  
Kidney Injury ◽  
Topical Formulation ◽  
Multivariable Logistic Regression Model ◽  
Multivariable Logistic Regression

Abstract Background The use of intraoperative topical vancomycin (VAN) is a strategy aimed to prevent surgical site infections (SSI). Although there is evidence to support its efficacy in SSI prevention following orthopedic spine surgeries, data describing its safety, specifically acute kidney injury (AKI) risk, is limited. The purpose of this study was to determine the AKI incidence associated with intraoperative topical VAN. Methods This is a retrospective cohort study reviewing patient encounters where intraoperative topical VAN was administered from February 2018 to July 2018. All adult patients ( ≥18 years) that received topical VAN in the form of powder, beads, rods, paste, cement spacers, or unspecified topical routes were included. Patient encounters were excluded for AKI or renal replacement therapy (RRT) at baseline, ≤ 2 serum creatinine values drawn after surgery, and/or if irrigation was the only topical formulation given. The primary outcome was the percentage of patients who developed AKI after intraoperative topical VAN administration. AKI was defined as an increase in serum creatinine (SCr) ≥50% from baseline, an increase in SCr >0.5 from baseline, or0 if RRT was initiated after topical VAN was given. Secondary outcomes included analysis of AKI risk factors and SSI incidence. AKI risk factors were analyzed using a multivariable logistic regression model. Results A total of 589 patient encounters met study criteria. VAN powder was the most common formulation (40.9%), followed by unspecified topical routes (30.7%) and beads (9.9%%). Nonspinal orthopedic surgeries were the most common procedure performed 46.7%. The incidence of AKI was 8.7%. In a multivariable logistic regression model, AKI was associated with concomitant systemic VAN (OR 3.39, [3.39–6.22]) and total topical VAN dose. Each doubling of the topical dose was associated with increased odds of developing AKI (OR = 1.42, [1.08–1.86]). The incidence of SSI was 5.3%. Conclusion AKI rates associated with intraoperative topical VAN are comparable to that of systemic VAN. Total topical vancomycin dose and concomitant systemic VAN was associated with an increased AKI risk. Additional analysis is warranted to compare these patients to a similar population that did not receive topical VAN. Disclosures All authors: No reported disclosures.

scholarly journals Association between Maternal Pre-pregnancy Body Mass Index and Breastfeeding Duration in Taiwan: A Population-Based Cohort Study

Nutrients ◽  
2020 ◽  
Vol 12 (8) ◽  
pp. 2361
Author(s):  
Chi-Nien Chen ◽  
Hung-Chen Yu ◽  
An-Kuo Chou
Keyword(s):  
Body Mass Index ◽  
Logistic Regression ◽  
Regression Model ◽  
Body Mass ◽  
Logistic Regression Model ◽  
Maternal Obesity ◽  
Population Based ◽  
Normal Weight ◽  
Breastfeeding Duration ◽  
Breastfeeding Cessation

An association between high pre-pregnancy body mass index (BMI) and early breastfeeding cessation has been previously observed, but studies examining the effect of underweight are still scant and remain inconclusive. This study analyzed data from a nationally representative cohort of 18,312 women (mean age 28.3 years; underweight 20.1%; overweight 8.2%; obesity 1.9%) who delivered singleton live births in 2005 in Taiwan. Comprehensive face-to-face interviews and surveys were completed at 6 and 18 months postpartum. BMI status and breastfeeding duration were calculated from the self-reported data in the questionnaires. In the adjusted ordinal logistic regression model, maternal obesity and underweight had a higher odds of shorter breastfeeding duration compared with normal-weight women. The risk of breastfeeding cessation was significantly higher in underweight women than in normal-weight women after adjustments in the logistic regression model (2 m: aOR = 1.11, 95% CI = 1.03–1.2; 4 m: aOR = 1.32, 95% CI = 1.21–1.43; 6 m: aOR = 1.3, 95% CI = 1.18–1.42). Our findings indicated that maternal underweight and obesity are associated with earlier breastfeeding cessation in Taiwan. Optimizing maternal BMI during the pre-conception period is essential, and future interventions to promote and support breastfeeding in underweight mothers are necessary to improve maternal and child health.

Surgical Thoracoabdominal Aortic Aneurysm Repair in a Non-High-Volume Institution

2020 ◽  
Author(s):  
Takashi Kunihara ◽  
Claudia Vukic ◽  
Fumihiro Sata ◽  
Hans-Jaochim Schäfers
Keyword(s):  
Spinal Cord ◽  
Logistic Regression ◽  
Aortic Aneurysm ◽  
Regression Model ◽  
Logistic Regression Model ◽  
Thoracoabdominal Aortic Aneurysm ◽  
Left Ventricular ◽  
Multivariable Logistic Regression Model ◽  
Multivariable Logistic Regression ◽  
Cord Injury

Abstract Background Surgical thoracoabdominal aortic aneurysm (TAAA) repair remains challenging. Apart from mortality, spinal cord injury (SCI) is a dreaded complication. We analyzed our experience to identify predictors for SCI in a nonhigh-volume institution. Patients and Methods All patients who underwent TAAA repair between February 1996 and November 2016 (n = 182) were enrolled. Most were male (n = 121; 66.4%), median age was 68 years (range: 21–84). Elective operations were performed in 153 instances (84.1%). Our approach to minimize SCI includes distal aortic perfusion, mild hypothermia, identification of the Adamkiewicz artery, and sequential aortic clamping. Cerebrospinal fluid drainage was introduced in 2001 and liberal use of selective visceral perfusion in 2006. Results Early mortality was 12.1%; it was 8.5% after elective procedures. Reduced left ventricular function, nonelective setting, older age, and longer bypass time were identified as independent predictors for mortality in multivariable logistic regression model. Permanent SCI was observed in nine patients (4.9%), of whom seven (3.8%) developed paraplegia. In a multivariable logistic regression model for paraplegia, peripheral arterial disease (PAD), Crawford type II repair, smaller body surface area, and era before 2001 were identified as independent predictors, whereas only PAD was significant for SCI. The incidence of paraplegia was 13.8% in extensive repair out of the first 91 cases, whereas it was improved up to 2.7% thereafter. Conclusion Using an integrated approach, acceptable outcome of TAAA repair can be achieved, even in a nonhigh-volume center. PAD and extensive involvement of the aorta are strong independent predictors for spinal cord deficit after TAAA repair.

Beyond TILs: Predictors of pathologic complete response (pCR) in triple-negative breast cancer (TNBC) patients with moderate tumor-infiltrating lymphocytes (TIL) receiving neoadjuvant therapy.

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. 572-572
Author(s):  
Nour Abuhadra ◽  
Kenneth R. Hess ◽  
Jennifer Keating Litton ◽  
Gaiane M Rauch ◽  
Alastair Mark Thompson ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Model ◽  
Neoadjuvant Therapy ◽  
Logistic Regression Model ◽  
Stage I ◽  
Multivariable Logistic Regression Model ◽  
Ki 67 ◽  
Early Stage Disease ◽  
Cut Points ◽  
Multivariable Logistic Regression

572 Background: Increased TIL in TNBC is associated with higher rates of pCR. High TIL is also associated with improved disease free survival and overall survival. The aim of this study is to identify data cut-points of pre-treatment low, moderate and high TIL count based on pCR and to identify clinical and pathological predictors of pCR in patients with moderate TIL. Methods: We evaluated the relationship between pCR and TIL in 180 patients with stage I-III TNBC enrolled in the ARTEMIS trial (NCT02276443). Recursive portioning was used to identify cut-points. Clinical and pathological variables such as age at diagnosis, stage, race, histology as well as Ki-67, vimentin, and androgen receptor (AR) by immunohistochemistry, were evaluated in pts with moderate TIL. A multivariable logistic regression model identified variables independently, significantly associated with pCR. Results: Four TIL groups were identified with pCR rates of 23%, 31%, 48% and 78% respectively (p < 0.0001) (Table A). In the two combined moderate TIL groups, 90 (97%) pts were evaluable for the multivariate model. Stage I-II disease, high Ki-67 and low AR were associated with increased probability of pCR (Table B). The multivariable logistic regression model area under the ROC curve was 0.78 (95% CI=0.68-0.88; p<0.0001). A model of computed risk score [ Stage I-II (score 2)+Ki-67≥ 50% (score 1)+AR<10% (score 1)] predicted a probability of 67% for pCR when all three variables were favorable (Table). Conclusions: Four TIL groups were identified. In pts with moderate TIL levels, early stage disease, high Ki-67 and low AR were associated with increased probability of pCR with neoadjuvant therapy. [Table: see text]

scholarly journals The risk of flax versus straw bedding on ileal impaction in colic horses: Retrospective analysis of 2336 cases (2008-2017)

2018 ◽  
Vol 87 (5) ◽  
pp. 255-262 ◽  
Author(s):  
A. Dufourni ◽  
A. Decloedt ◽  
L. Lefère ◽  
D. De Clercq ◽  
P. Deprez ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Body Weight ◽  
Regression Model ◽  
Logistic Regression Model ◽  
Cox Regression ◽  
Conditional Logistic Regression ◽  
Large Animal ◽  
Multivariable Logistic Regression Model ◽  
Multivariable Logistic Regression ◽  
Flax Shives

While mature coastal bermudagrass hay is strongly associated with ileal impaction in the Southeastern United States, stabling on flax bedding has anecdotally been associated with this condition in Europe. The aim of this retrospective study was to investigate the association between ileal impaction and the use of flax shives compared to straw as bedding in horses with colic. Medical records of 2336 referral cases evaluated for abdominal pain between January 2008 and May 2017 at the Department of Large Animal Internal Medicine, Ghent University were reviewed. Diagnosis, date of admission, age, breed, gender, body weight and stable bedding were recorded. Conditional logistic regression analysis was used to assess the association between ileal impaction and each individual variable. Odds ratios (OR) and 95% confidence intervals (CI) were determined. Predictors with a value of P < 0.2 were included in a multivariable Cox regression model and Wald’s test was used to assess parameter estimate significance. Further, the association between survival to discharge and type of bedding or type of treatment (medical versus surgical) was analyzed for horses with ileal impactions. The proportion of colic cases stabled on flax bedding at home was 11.3%. The overall prevalence of ileal impaction was 4.2%. In the flax group, the prevalence of ileal impaction was 9.4% as opposed to 3.6% within the straw group. The OR of 2.8 (95% CI 1.7-4.7; P < 0.001) in the multivariable logistic regression model indicated that horses stabled on flax shives were approximately three times more likely to have ileal impactions than horses stabled on straw. There was no significant association found between ileal impaction and the period of admission, age, gender or body weight in a multivariable logistic regression model. The odds for having ileal impaction is approximately six times (OR 6.3; 95% CI 2.4-16.4; P < 0.001) higher in draft horses than in warmbloods in the multivariable logistic regression model. No significant association was found between survival to discharge and type of bedding or treatment. These results suggest that horses with colic that were housed on flax bedding are more likely to present ileal impactions than horses housed on straw.

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