Nonocclusive Ischemic Colitis: Analysis of Risk Factors for Severity

The purpose of this study was to identify risk factors predictive of severe nonocclussive ischemic colitis (IC) requiring operation or resulting in mortality. One hundred seventeen patients with nonocclussive IC were identified and divided into two groups: those with severe disease (n = 24) and those with disease that resolved with supportive care (n = 93). Univariate and multivariate logistic regression models were used. The splenic flexure was the most common involved segment (57.3%), whereas the right colon was involved in 17.9 per cent of patients. Multivariate logistic regression identified three independent risk factors for severe disease: leukocytosis greater than 15 3 109/L (odds ratio [OR], 5.7; confidence interval [CI], 1.5 to 21), hematocrit less than 35 per cent (OR, 4.5; CI, 1.1 to 17), and history of atrial fibrillation (OR, 15; CI, 1.3 to 190). Right-sided IC and chronic renal insufficiency did not affect severity. Special attention should be given to patients with the following risk factors for a severe course: atrial fibrillation, elevated white blood cell count, and anemia. These factors might enable earlier identification of patients who may benefit from early operation. Further prospective studies focusing on subgroups of IC (occlusive and nonocclusive) are required.

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Predictive risk factors for worse outcomes in COVID-19 patients with different clinical features at baseline

Archives of Medical Science ◽

10.5114/aoms/130374 ◽

2021 ◽

Author(s):

Elisabetta Schiaroli ◽

Anna Gidari ◽

Giovanni Brachelente ◽

Sabrina Bastianelli ◽

Alfredo Villa ◽

...

Keyword(s):

Risk Factors ◽

Logistic Regression ◽

Regression Analysis ◽

Critical Illness ◽

Serum Ferritin ◽

Logistic Regression Analysis ◽

Severe Disease ◽

Multivariate Logistic Regression Analysis ◽

Multivariate Logistic Regression ◽

Neutrophil Lymphocyte Ratio

IntroductionCOVID-19 is characterized by a wide range of clinical expression and by possible progression to critical illness and death. Therefore it is essential to identify risk factors predicting progression towards serious and fatal diseases. The aim of our study was to identify laboratory predictive markers of clinical progression in patients with moderate/severe disease and in those with acute respiratory distress syndrome (ARDS).Material and methodsUsing electronic medical records for all demographic, clinical and laboratory data, a retrospective study on all consecutive patients with COVID-19 admitted to the Infectious Disease Clinic of Perugia was performed. The PaO2/FiO2 ratio (P/F) assessment cut‑off of 200 mm Hg was used at baseline to categorize the patients into two clinical groups. The progression towards invasive ventilation and/or death was used to identify critical outcome. Statistical analysis was performed. Multivariate logistic regression analysis was adopted to identify risk factors of critical illness and mortality.ResultsIn multivariate logistic regression analysis neutrophil/lymphocyte ratio (NLR) was the only significant predictive factor of progression to a critical outcome (p = 0.03) and of in-hospital mortality (p = 0.03). In ARDS patients no factors were associated with critical progression. Serum ferritin > 1006 ng/ml was the only predictive value of critical outcome in COVID-19 subjects with moderate/severe disease (p = 0.02).ConclusionsNeutrophil/lymphocyte ratio and serum ferritin are the only biomarkers that can help to stratify the risk of severity and mortality in patients with COVID-19.

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

Veterinary World ◽

10.14202/vetworld.2020.2172-2177 ◽

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.

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An 11-Year Retrospective Research Study of the Predictive Factors of Peri-Implantitis and Implant Failure: Analytic-Multicentric Study of 1279 Implants in Peru

International Journal of Dentistry ◽

10.1155/2019/3527872 ◽

2019 ◽

Vol 2019 ◽

pp. 1-8 ◽

Cited By ~ 1

Author(s):

Frank Mayta-Tovalino ◽

Yens Mendoza-Martiarena ◽

Percy Romero-Tapia ◽

María Álvarez-Paucar ◽

Luis Gálvez-Calla ◽

...

Keyword(s):

Risk Factors ◽

Logistic Regression ◽

Dental Implants ◽

Bone Quality ◽

Private Institutions ◽

Multivariate Logistic Regression ◽

Public And Private ◽

Multicentric Study ◽

Kaplan Meier ◽

History Of

Aim. To analyze the risk factors by logistic regression and perform the analysis of the survival rate of osseointegrated dental implants placed in public and private institutions. Methods. An analytic-multicentric study was carried out, where 1279 dental implants that were placed by specialists from January 2006 to October 2017 in public and private institutions (UPCH-SI, HCFAP, CMNAVAL, UPCH-SM, and UPSJB) were evaluated. The variables sex (X1), location (X2), hypertension (X3), antibiotic prophylaxis (X4), diabetes (X5), osteoporosis (X6), bisphosphonates (X7), history of periodontitis (X8), hypercholesterolemia (X9), bone quality (X10), bone quantity (X11), design (X12), smoker (X13), connection (X14), edentulism type (X15), staging (X16), 3D guided surgery (X17), load (X18), bone graft (X19), peri-implantitis (X20), mucositis (X21), and GBR (X22) were collected and analyzed by the Kaplan–Meier survival analysis. The logit analysis was performed among all the variables to choose the best statistical model that explains the true risk factors. The analysis was performed by multivariate logistic regression and the Kaplan–Meier test, at a level of statistical significance of p<0.05. Results. It was found that the failure rate of the 1279 implants evaluated was 17.98% corresponding to only 23 implants lost as they have good longevity over time. When establishing the best multivariate logistic regression model, it was found that the variables that remained stable in relation to their statistically significant value and more stable confidence intervals were age, osteoporosis, bisphosphonates, history of periodontitis, bone quality, bone graft, connection, number of implants, GBR (guided bone regeneration), and follow-up. Conclusions. Dental implants placed by specialists in public and private institutions had a failure rate similar to that in studies previously published in other countries.

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Risk factors and prediction model construction of post-operative atrial fibrillation after thoracic surgery in Chinese patients

Archives of Medical Science ◽

10.5114/aoms/131087 ◽

2021 ◽

Author(s):

Yunling Lin ◽

Jianmin Sun ◽

Xun Yuan ◽

Hui Liu

Keyword(s):

Risk Factors ◽

Atrial Fibrillation ◽

Logistic Regression ◽

Thoracic Surgery ◽

Prediction Model ◽

Univariate Analysis ◽

Multivariate Logistic Regression Analysis ◽

Chinese Patients ◽

Multivariate Logistic Regression ◽

Post Operative Atrial Fibrillation

IntroductionThe purpose of this study was to analyze the risk factors of post-operative atrial fibrillation (POAF) after thoracic surgery, and to build a predictive model for accurate preoperative identification of high-risk patients.Material and methodsIn this study, data of 2072 patients with pulmonary masses and esophageal cancer who attended our hospital in the period from January 1, 2017 to December 31, 2018 were analyzed retrospectively. According to whether AF occurred after the operation, the patients were divided into atrial fibrillation (AF) and non-AF (NAF) groups. The general information (age, sex, height, etc.), previous medical history (chronic lung disease, hypertension, etc.), medication history, preoperative ultrasound and cardiogram results, and preoperative and postoperative electrocardiogram (ECG) were collected. The operation mode, resection scope, histopathology and hospitalization were recorded. Univariate and multivariate logistic regression were used to screen out the risk factors of AF and establish a prediction model.ResultsThe incidence of POAF was 5.98%. Univariate analysis showed that sex, age, body mass index, left atrial diameter and operation organ were the risk factors of POAF. The above factors were included in the multivariate logistic regression analysis, and the results showed that male sex, age, anteroposterior diameter of left atrium and surgical organs were related to POAF. On this basis, a POAF prediction model was constructed, which had good discrimination and calibration. The area under the curve (AUC) is 0.784 with 95% CI: 0.746–0.822.ConclusionsThe prediction model of POAF based on the risk factors selected in this study can accurately predict the occurrence of AF after thoracic surgery.

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

Journal of Gastrointestinal and Liver Diseases ◽

10.15403/jgld-813 ◽

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.

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LDL-C/HDL-C is associated with ischaemic stroke in patients with non-valvular atrial fibrillation: a case-control study

10.21203/rs.3.rs-60899/v2 ◽

2020 ◽

Author(s):

Xiao-Xue Zhang ◽

Meng Wei ◽

Lu-Xiang Shang ◽

Yan-Mei Lu ◽

Ling Zhang ◽

...

Keyword(s):

Risk Factors ◽

Atrial Fibrillation ◽

Logistic Regression ◽

Regression Analysis ◽

Roc Curve ◽

Principal Component Regression ◽

Principal Component ◽

Multivariate Logistic Regression ◽

Principal Component Regression Analysis ◽

Independent Risk Factors

Abstract Background: This study explored the relationships between the low-/high-density lipoprotein cholesterol ratio (LDL-C/HDL-C) and other clinical indicators and ischaemic stroke (IS) in patients with non-valvular atrial fibrillation (NVAF) in Xinjiang. The findings could provide a theoretical and therapeutic basis for NVAF patients.Methods: NVAF patients who were admitted to 10 medical centres across Xinjiang were divided into stroke (798 patients) and control (2671 patients) groups according to the occurrence of first acute IS occurred. Univariate and multivariate logistic regression analysis were used to examine the independent risk factors for IS in NVAF patients. Factor analysis and principal component regression analysis were used to analyse the main factors influencing IS. Receiver operating characteristic (ROC) curve analysis was used to evaluate the discriminatory ability of LDL-C/HDL-C for predicting the occurrence of IS.Results: The stroke group had an average age of 71.64 ± 9.96 years and included 305 females (38.22%). The control group had a mean age of 67.30 ± 12.01 years and included 825 females (30.89%). Multivariate logistic regression showed that the risk of IS in the highest LDL-C/HDL-C quartile ( ≥2.73) was 16.23-fold that of the lowest quartile ( < 1.22); IS risk was 2.27-fold higher in obese patients than in normal-weight subjects; IS risk was 3.15-fold higher in smoking patients than in non-smoking patients. The area under the ROC curve of LDL-C/HDL-C was 0.76, the optimal critical value was 2.33, the sensitivity was 63.53%, and the specificity was 76.34%. Principal component regression analysis showed that LDL-C/HDL-C, age, smoking, drinking, LDL-C and hypertension were risk factors for IS in NVAF patients.Conclusions: LDL-C/HDL-C >1.22, smoking, BMI ≥24 kg/m2 and CHA2DS2-VASc score were independent risk factors for IS in NVAF patients; LDL-C/HDL-C was the main risk factor.

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LDL-C/HDL-C is associated with ischaemic stroke in patients with non-valvular atrial fibrillation: a case-control study

10.21203/rs.3.rs-60899/v3 ◽

2020 ◽

Author(s):

Xiao-Xue Zhang ◽

Meng Wei ◽

Lu-Xiang Shang ◽

Yan-Mei Lu ◽

Ling Zhang ◽

...

Keyword(s):

Risk Factors ◽

Atrial Fibrillation ◽

Logistic Regression ◽

Regression Analysis ◽

Roc Curve ◽

Principal Component Regression ◽

Principal Component ◽

Multivariate Logistic Regression ◽

Principal Component Regression Analysis ◽

Independent Risk Factors

Abstract Background: This study explored the relationships between the low-/high-density lipoprotein cholesterol ratio (LDL-C/HDL-C) and other clinical indicators and ischaemic stroke (IS) in patients with non-valvular atrial fibrillation (NVAF) in Xinjiang. The findings could provide a theoretical and therapeutic basis for NVAF patients.Methods: NVAF patients who were admitted to 10 medical centres across Xinjiang were divided into stroke (798 patients) and control (2671 patients) groups according to the occurrence of first acute IS. Univariate and multivariate logistic regression analysis were used to examine the independent risk factors for IS in NVAF patients. Factor analysis and principal component regression analysis were used to analyse the main factors influencing IS. Receiver operating characteristic (ROC) curve analysis was used to evaluate the discriminatory ability of LDL-C/HDL-C for predicting the occurrence of IS.Results: The stroke group had an average age of 71.64 ± 9.96 years and included 305 females (38.22%). The control group had a mean age of 67.30 ± 12.01 years and included 825 females (30.89%). Multivariate logistic regression showed that the risk of IS in the highest LDL-C/HDL-C quartile ( ≥2.73) was 16.23-fold that of the lowest quartile ( < 1.22); IS risk was 2.27-fold higher in obese patients than in normal-weight subjects; IS risk was 3.15-fold higher in smoking patients than in non-smoking patients. The area under the ROC curve of LDL-C/HDL-C was 0.76, the optimal critical value was 2.33, the sensitivity was 63.53%, and the specificity was 76.34%. Principal component regression analysis showed that LDL-C/HDL-C, age, smoking, drinking, LDL-C and hypertension were risk factors for IS in NVAF patients.Conclusions: LDL-C/HDL-C >1.22, smoking, BMI ≥24 kg/m2 and CHA2DS2-VASc score were independent risk factors for IS in NVAF patients; LDL-C/HDL-C was the main risk factor.

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Nomogram-Based Prediction of the Risk of Macrosomia: A Prospective Cohort Study in a Chinese Population

10.21203/rs.3.rs-268792/v1 ◽

2021 ◽

Author(s):

Jing Du ◽

Sanbao Chai ◽

Xin Zhao ◽

Jianbin Sun ◽

Ning Yuan ◽

...

Keyword(s):

Risk Factors ◽

Logistic Regression ◽

Cohort Study ◽

Prospective Cohort Study ◽

Prospective Cohort ◽

Operating Characteristic ◽

Multivariate Logistic Regression Analysis ◽

Maternal Factors ◽

Multivariate Logistic Regression ◽

History Of

Abstract Objective: This study aimed to establish a nomogram for predicting the risk of macrosomia in early pregnancy.Methods: We performed a prospective cohort study involving 1,549 pregnant women. According to the birth weight of newborn, the subjects were divided into two groups: macrosomia group and non-macrosomia group. Multivariate logistic regression was used to analyze the risk factors for macrosomia.Results: The prevalence of macrosomia was 6.13% (95/1549) in our hospital. Multivariate logistic regression analysis showed the risk factors of macrosomia were prepregnancy overweight (OR: 2.126, 95% CI: 1.181-3.826)/obesity (OR: 3.536, 95% CI: 1.555-8.036), multiparity (OR:1.877, 95% CI: 1.160-3.039), the history of macrosomia (OR: 36.971, 95% CI: 19.903-68.674), the history of GDM/DM (OR: 2.285, 95% CI: 1.314-3.976), the higher levels of HbA1c (OR: 1.763, 95% CI: 1.004-3.097) and TC (OR: 1.360, 95% CI: 1.004-1.842). A nomogram was developed for predicting macrosomia based on maternal factors related to the risk of macrosomia in early pregnancy. The area under the receiver operating characteristic (ROC) curve of the nomogram was 0.807 (95% CI: 0.755–0.859), the sensitivity and specificity of the model were 0.716 and 0.777, respectively.Conclusion: The nomogram model provides an accurate mothed for clinicians to early predict macrosomia.

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Risk Factors for Progression to Severe Sepsis or Septic Shock in Patients with Urolith Induced Obstructive Urosepsis

10.21203/rs.3.rs-109284/v1 ◽

2020 ◽

Author(s):

Jiadong Cao ◽

Zhichao Wang ◽

Youlian Wang ◽

Hucai Li ◽

Chiming Gu ◽

...

Keyword(s):

Risk Factors ◽

Septic Shock ◽

Logistic Regression ◽

Severe Sepsis ◽

Sepsis Group ◽

Time Interval ◽

Multivariate Logistic Regression ◽

Hospital Patients ◽

History Of ◽

Independent Risk Factors

Abstract Introduction: To analyze the risk factors for the progression to severe sepsis,or septic shock,in pre-hospital patients with urolith Induced obstructive urosepsis, so as to facilitate the early identification of high-risk patients.Materials and Methods: Datas were retrospectively reviewed from 160 patients of urolith induced obstructive urosepsis between December 2013 and December 2019. There were 49 patients complicated by severe sepsis (severe sepsis group), 12 patients with septic shock (septic shock group), and 99 patients without progression to severe sepsis or septic shock (sepsis group). The data covered age, gender, BMI , time interval from ED to admission, WBC count, NLR, HGB, etc. Datas were analyzed by univariate analyses and multivariate logistic regression analysis.Results: Univariate analysis showed that the differences of age, the time interval from ED to admission, history of diabetes mellitus, history of CKI, NLR, HGB, platelet count, TBil, SCr, ALB, PT, APTT, INR, PCT, and positive rate of pathogens in blood culture were statistically significant (P < 0.05). Multivariate logistic regression analysis showed that age, SCr, and history of CKI were independent risk factors for progression to severe sepsis, or septic shock (P < 0.05).Conclusions: Aged ≥ 65 years, SCr ≥ 248 mol/L, and history of CKI were independent risk factors for progression to severe sepsis, or septic shock, in patients with urolith induced obstructive urosepsis. The key to prevent urosepsis from progression is to improve our understanding of disease dynamics, control the risk factors, and intervene the pre-hospital patients with multidisciplinary modalities as early as possible.

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