scholarly journals A new severity classification of lower limb secondary lymphedema based on lymphatic pathway defects in an indocyanine green fluorescent lymphography study

2022 ◽  
Vol 12 (1) ◽  
Author(s):  
Akira Shinaoka ◽  
Kazuyo Kamiyama ◽  
Kiyoshi Yamada ◽  
Yoshihiro Kimata
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Indocyanine Green ◽  
Lower Limb ◽  
Regression Models ◽  
Modified Model ◽  
Clinical Model ◽  
Logistic Regression Models ◽  
Green Fluorescent ◽  
Lymphatic Imaging

AbstractMost protocols for lymphatic imaging of the lower limb conventionally inject tracer materials only into the interdigital space; however, recent studies indicate that there are four independent lymphatic vessel groups (anteromedial, anterolateral, posteromedial, and posterolateral) in the lower limb. Thus, three additional injection sites are needed for lymphatic imaging of the entire lower limb. We aimed to validate a multiple injection designed protocol and demonstrate its clinical benefits. Overall, 206 lower limbs undergoing indocyanine green fluorescent lymphography with the new injection protocol were registered retrospectively. To assess the influence of predictor variables on the degree of severity, multivariable logistic regression models were used with individual known risk factors. Using a generalized linear model, the area under the curve (AUC) of the conventional clinical model, comprising known severity risk factors, was compared with that of the modified model that included defects in the posterolateral and posteromedial groups. Multivariable logistic regression models showed a significant difference for the posteromedial and posterolateral groups. The AUC of the modified model was significantly improved compared to that of the conventional clinical model. Finding defects in the posteromedial and posterolateral groups is a significant criterion for judging lymphedema severity and introducing a new lymphedema severity classification.

Abstract 17220: Risk Factors for Recurrent Peripartum Cardiomyopathy in 783 Women in California

Circulation ◽  
2018 ◽  
Vol 138 (Suppl_1) ◽  
Author(s):  
Punag Divanji ◽  
Gregory Nah ◽  
Ian Harris ◽  
Anu Agarwal ◽  
Nisha I Parikh
Keyword(s):  
Risk Factors ◽  
Cardiovascular Disease ◽  
Logistic Regression ◽  
Regression Models ◽  
Subsequent Pregnancy ◽  
Peripartum Cardiomyopathy ◽  
Lv Function ◽  
Logistic Regression Models ◽  
Grand Multiparity ◽  
Adjusted Logistic Regression

Introduction: Characterized by significant left ventricular (LV) dysfunction and clinical heart failure (HF), peripartum cardiomyopathy (PPCM) has an incidence of approximately 1/2200 live births (0.04%). Prior studies estimate that approximately 25% of those with recovered LV function will have recurrent clinical PPCM during subsequent pregnancies, compared to 50% of those without recovered LV function. Specific predictors of recurrent PPCM have not been studied in cohorts with large numbers. Methods: From 2005-2011, we identified 1,872,227 pregnancies by International Classification of Diseases, 9th Revision (ICD-9) codes in the California Healthcare Cost and Utilization Project (HCUP) database, which captures over 95% of the California hospitalized population. Excluding 15,765 women with prior cardiovascular disease (myocardial infarction, coronary artery disease, stroke, HF, valve disease, or congenital heart disease), yielded n=1,856,462 women. Among women without prior cardiovascular disease, we identified index and subsequent pregnancies with PPCM to determine episodes of recurrent PPCM. We considered the following potential predictors of PPCM recurrence in both univariate and age-adjusted logistic regression models: age, race, hypertension, diabetes, smoking, obesity, chronic kidney disease, family history, pre-eclampsia, ectopic pregnancy, income, and insurance status. Results: In HCUP, n=783 women had pregnancies complicated by PPCM (mean age=30.8 years). Among these women, n=133 had a subsequent pregnancy (17%; mean age=28.1 years), with a mean follow-up of 4.34 years (±1.71 years). In this group of 133 subsequent pregnancies, n=14 (10.5%) were complicated by recurrent PPCM, with a mean time-to-event of 2.2 years (±1.89 years). Among the risk factors studied, the only univariate predictor of recurrent PPCM was grand multiparity, defined as ≥ 5 previous deliveries (odds ratio: 22; 95% confidence interval 4.43-118.22). The other predictors we studied were not significantly associated with recurrent PPCM in either univariate or multivariable models. Conclusion: In a large population database in California with 783 cases of PPCM over a 6-year period, 17% of women had a subsequent pregnancy, of which 10.5% had recurrent PPCM. In age-adjusted logistic regression models, grand multiparity was the only statistically significant predictor of recurrent PPCM.

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

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.

scholarly journals Study of risk factors affecting both hypertension and obesity outcome by using multivariate multilevel logistic regression models

2016 ◽  
Vol 19 (3) ◽  
pp. 385-397 ◽  
Author(s):  
Sepedeh Gholizadeh ◽  
Abbas Moghimbeigi ◽  
Jalal Poorolajal ◽  
Mohammadali Khjeian ◽  
Fatemeh Bahramian ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Models ◽  
Multilevel Logistic Regression ◽  
Factors Affecting ◽  
Logistic Regression Models

scholarly journals Risk factors associated with stillbirth of piglets born from oxytocin-assisted parturitions

2020 ◽  
Vol 13 (10) ◽  
pp. 2172-2177
Author(s):  
Nguyen Hoai Nam ◽  
Peerapol Sukon
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Models ◽  
Significant Risk ◽  
Gestation Length ◽  
Stillbirth Rate ◽  
Multivariate Logistic Regression ◽  
Crown Rump Length ◽  
Logistic Regression Models ◽  
Factors Associated

Aim: The present study aimed to investigate the effects of different risk factors on stillbirth of piglets born from oxytocin-assisted parturitions. Materials and Methods: Data were collected from a total of 1121 piglets born from 74 Landrace x Yorkshire crossbred sows from a herd. Logistic regression models were used to determine the associations between stillbirth and different risk factors including parity (1, 2, 3-5, and 6-10), gestation length (GL) (112-113, 114-116, and 117-119 days), litter size, birth order (BO), sex, birth interval (BI), cumulative farrowing duration, birth weight (BW), crown rump length, BW deviation, body mass index, ponderal index (PI), and the use of oxytocin during expulsive stage of farrowing. Results: The incidence of stillbirth at litter level and stillbirth rate was 59.5% (44/74) and 8.1% (89/1094), respectively. The final multivariate logistic regression selected BO, BI, PI, GL, and parity as the five most significant risk factors for stillbirth. Increased BO and BI, GL <114 and >116 days, parity 6-10, and low PI increased the stillbirth rate in piglets. Conclusion: Several factors previously determined as risks for stillbirth in exogenous oxytocin-free parturitions also existed in exogenous oxytocin-assisted parturitions. One dose of oxytocin at fairly high BO did not increase stillbirth, whereas two doses of oxytocin were potentially associated with increased values.

Use of Logistic Regression for Developing Risk-adjusted Quality Indicators in Nursing

2010 ◽  
Vol 49 (06) ◽  
pp. 608-612 ◽  
Author(s):  
D. Renner ◽  
B. Fischer ◽  
M. Kutschmann
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Quality Indicators ◽  
Regression Models ◽  
Pressure Ulcers ◽  
Logistic Function ◽  
Multiple Logistic Regression ◽  
Logistic Regression Models ◽  
Joint Influence ◽  
Developed Pressure

Summary Objectives: A low rate of newly developed pressure ulcers is considered as an important quality indicator in nursing. However, the result of a hospital depends not only on the quality of care but on the risk profile of its patients as well. Therefore, based on multiple logistic regression models we describe a method for calculating risk-adjusted quality indicators in nursing. Method: Based on data of 1,009,989 patients from 1747 hospitals in 2009, we developed two multiple logistic regression models to identify and to weigh a possible joint influence of several risk factors on newly developed pressure ulcers. In a further step, we calculated risk-adjusted rates. Results: Factors remaining in the regression models were “micro-movements on admission”, “diabetes mellitus”, “age” and “days on intensive care unit”. Based on the corresponding regression coefficients and the logistic function, the expected rate of newly developed pressure ulcers was calculated for every hospital. Fi nally, expected rates and observed rates both were used to calculate risk-adjusted rates. Conclusion: The simultaneous consideration of relevant risk factors by means of risk- adjusted quality indicators ensures a fair comparison of hospitals.

scholarly journals Factors associated with the serological prevalence of Salmonella enterica in Greek finishing swineherds

2003 ◽  
Vol 131 (1) ◽  
pp. 599-606 ◽  
Author(s):  
L. S. LEONTIDES ◽  
E. GRAFANAKIS ◽  
C. GENIGEORGIS
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Salmonella Enterica ◽  
Regression Models ◽  
Finishing Pigs ◽  
Blood Samples ◽  
Lower Odds ◽  
Logistic Regression Models ◽  
Factors Associated ◽  
Procaine Penicillin

Blood samples were taken from 50 finishing pigs at 90–105 kg in each of 59 randomly selected farrow-to-finish herds. The sera were tested for antibodies to Salmonella enterica by the Danish mix-ELISA. Samples with an optical density of >10% were considered to be positive. Associations between the odds of seropositivity of pigs and possible risk factors were evaluated in multivariable logistic regression models. The results of the analysis indicated that pigs fed non-pelleted dry or wet ration had 11 (P=0·0004) or 9 (P=0·02) times, respectively, lower odds of seropositivity than those fed pelleted ration. The risk of seropositivity was 4 (P=0·0006) times higher in pigs fed a combination of chlortetracycline, procaine penicillin and sulphamethazine during fattening than in those fed an approved growth promotor or a probiotic.

Marginal Effects—Quantifying the Effect of Changes in Risk Factors in Logistic Regression Models

JAMA ◽  
2019 ◽  
Vol 321 (13) ◽  
pp. 1304 ◽  
Author(s):  
Edward C. Norton ◽  
Bryan E. Dowd ◽  
Matthew L. Maciejewski
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Models ◽  
Logistic Regression Models ◽  
Marginal Effects ◽  
Changes In Risk

scholarly journals Does Family History of Cancer Influence Undergoing Screening and Gastrointestinal Investigations?

2020 ◽  
Author(s):  
Danute Razuka-Ebela ◽  
Irisa Zile ◽  
Lilian Tzivian ◽  
Inguna Ebela ◽  
Inese Polaka ◽  
...  
Keyword(s):  
Risk Factors ◽  
Helicobacter Pylori ◽  
Logistic Regression ◽  
Regression Models ◽  
Sociodemographic Characteristics ◽  
Helicobacter Pylori Eradication ◽  
Cancer Risk Factors ◽  
Logistic Regression Models ◽  
History Of ◽  
History Of Cancer

Background and Aims: Although a family history of cancer (FHC) can modify the lifestyle and attitudes towards participation in cancer screening programs, studies on this relationship show mixed results and vary across populations. The objectives of the study were to compare sociodemographic characteristics, history of gastrointestinal (GI) investigations and Helicobacter pylori eradication, and modifiable cancer risk factors between those with FHC and those with no FHC (NFHC), and to investigate the association between FHC and a history of GI investigations. Methods: A total of 3,455 questionnaires from the pilot study of the “Helicobacter pylori eradication and pepsinogen testing for prevention of gastric cancer mortality (GISTAR study)” in Latvia were analysed. We compared sociodemographic characteristics and history of GI investigations between participants with self- reported FHC and NFHC. Binary logistic regression models adjusted for socio-demographic characteristics and modifiable cancer risk factors were built for a FHC and each GI investigation. Results: Participants with a FHC were more likely to be women, have a higher education and less likely to have harmful habits (smoking, alcohol consumption) than those with NFHC. Participants with a FHC were approximately twice as likely to report recent colorectal investigations specifically for screening, than those with NFHC. In fully adjusted logistic regression models, FHC was significantly associated with a recent history of faecal occult blood tests (FOBTs), colonoscopies, and colorectal investigations (FOBT or colonoscopy) specifically for screening as part of the national organized screening programme. Conclusion. Our results indicate that those with a FHC have different patterns of health-related behaviour than those with NFHC.

Abstract WP92: Risk Factors for Thrombotic Events in the Endovascular Treatment of Ruptured Cerebral Aneurysms

Stroke ◽  
2017 ◽  
Vol 48 (suppl_1) ◽  
Author(s):  
Ali Sultan-Qurraie ◽  
Adam de Havenon ◽  
John Lynch ◽  
David Tirschwell ◽  
Marc Lazzaro ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Endovascular Treatment ◽  
Endovascular Therapy ◽  
Regression Models ◽  
Platelet Transfusion ◽  
Endovascular Aneurysm Repair ◽  
The United States ◽  
Active Smoking ◽  
Logistic Regression Models

Introduction: Aneurysmal subarachnoid hemorrhage (aSAH) carries a high risk of morbidity and mortality. Endovascular coiling is an effective treatment option for ruptured aneurysms and offers certain advantages over microsurgical clipping. Thromboembolism is a known complication of endovascular therapy, but little has been reported regarding its causes. We hypothesized that platelet transfusion (PT) is a risk factor for thrombotic events (TE) during endovascular therapy. Methods: We retrospectively evaluated 84 patients presenting with aSAH to a Comprehensive Stroke Center in the United States between 2011 and 2015 who underwent endovascular treatment. In addition to TE related to endovascular aneurysm repair, charts were reviewed for variables including length of hospitalization, 3-month modified Rankin Scale (mRS), and smoking. Intergroup differences were evaluated with a Chi-squared and Student’s t-test. Logistic regression models were also fitted to the outcome of TE. Results: Patient demographics and clinical variables are seen in Table 1. 23% of patients incurred TE. Platelet transfusion was more common in patients with TE, but this association was not statistically significant in the logistic regression models (Table 2). In the adjusted model, active smoking and procedure length remained significantly associated with TE. Conclusion: To our knowledge, risk factors for thrombotic events in the setting of endovascular cerebral aneurysm treatment have not been previously reported. Procedure length and active smoking are associated with TE, and PT has a trend towards significance. After adjusting for potential confounders, active smoking remains the best predictor of TE (p=0.004), conferring an 11-fold risk.

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