scholarly journals Controlling energetic intake based on a novel logistic regression model for the metabolic syndrome in a Chinese population

2010 ◽  
Vol 105 (2) ◽  
pp. 256-262
Author(s):  
Lv Yangmei ◽  
Miao Yanxia ◽  
Qiao Liangmei ◽  
Zhang Jinhui ◽  
Hua Yu ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Energy Requirement ◽  
Multivariate Logistic Regression Analysis ◽  
Control Group ◽  
Multivariate Logistic Regression ◽  
The Metabolic Syndrome ◽  
Requirement Model

The present study was designed to develop a novel method of energy calculation for controlling energetic intake in patients with the metabolic syndrome. Demographics and dietary data were recorded for 2582 obese subjects. Nutritional education was applied to all the patients. One year later, the data on age, sex, activity intensity coefficient, waistline, environmental temperature and BMI in subjects who lost ≥ 5 % body weight were entered into a multivariate logistic regression analysis model. Energy requirement was calculated from the results of multivariate logistic regression. Four hundred and thirty-four metabolic syndrome patients were then randomly divided into the treated group (216) and the control group (218). The energetic intake in the experimental group was controlled based on the new energy requirement model. The traditional energy exchange method was used in the control group. The independent factors predicting metabolic syndrome prognosis, such as age, sex, activity intensity coefficient, waistline, environmental temperature and BMI, were identified by multivariate logistic regression analysis. The energy requirement model was then constructed by logistic regression analysis. After 6 months of energetic intake control based on the new model, the parameters of the experimental group were significantly different from those of the controls (all P < 0·05): waistline, 89·65 (sd 5·54) v. 91·97 (sd 4·78) cm; BMI, 24·67 (sd 3·54) v. 25·87 (sd 2·65) kg/m2; fasting blood glucose, 6·9 (sd 3·6) v. 8·7 (sd 4·6) mmol/l; 2 h PG, 8·7 (sd 5·7) v. 10·7 (sd 4·5) mmol/l; HbA1c, 7·7 (sd 1·6) v. 8·9 (sd 2·6) %; homoeostasis model insulin resistance index, 3·14 (sd 1·62) v. 4·32 (sd 2·25). The new energy requirement model can effectively improve the clinical outcomes of controlling energetic intake in metabolic syndrome patients.

Abstract 3553: Effect of Resolution of Metabolic Syndrome on Endothelial Function and Cardiovascular Events after Acute Coronary Syndromes

Circulation ◽  
2007 ◽  
Vol 116 (suppl_16) ◽  
Author(s):  
Shin-ichiro Miyazaki ◽  
Yoshikazu Hiasa ◽  
Takefumi Takahashi ◽  
Riyo Ogura ◽  
Naoki Suzuki ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Endothelial Function ◽  
Logistic Regression Analysis ◽  
Acute Coronary Syndromes ◽  
Cardiovascular Events ◽  
Multivariate Logistic Regression Analysis ◽  
Multivariate Logistic Regression ◽  
Coronary Syndromes

Background: Metabolic syndrome (MetS) is associated with endothelial dysfunction, and recognized as a risk factor of cardiovascular events after acute coronary syndromes (ACS). We examined whether the resolution of MetS would improve endothelial function and provide a beneficial effect on clinical outcome after ACS. Methods: We studied 60 patients with MetS who underwent a percutaneous revascularization procedure for ACS. MetS was defined using modified International Diabetes Federation criteria. Brachial artery flow-mediated dilation (FMD) and several risk parameters related to metabolic disorders were assessed at baseline and at 6 months. Each patient was given basic spoken advice on lifestyle modification and optimal medications before discharge. Patients were divided into 2 groups according to whether the criteria for MetS were fulfilled at 6 months: resolved MetS (R-MetS, n=35) and persistent MetS (P-MetS, n=25). Cardiovascular events were defined as cardiac death, stroke, myocardial infarction, unstable angina, and target vessel revascularization. Results: During the 1-year follow-up, 3 patients with R-MetS (8.6%) and 14 patients with P-MetS (56%) had cardiovascular events (p=0.0002). The extent of improvement in FMD was significantly greater in patients with R-MetS than those with P-MetS (change in FMD: 1.5 vs −1.2: p=0.007; respectively). In a multivariate logistic regression analysis, P-MetS was an independent predictor of cardiovascular events (odds ratio 18.4, 95%CI 1.67–28.5, p=0.025). Conclusion: The resolution of MetS is associated with the recovery of endothelial function and prevents cardiovascular events after ACS. Multivariate logistic regression analysis

scholarly journals Factors associated with medial meniscal subluxation in knees with medial meniscus tears: a cross-sectional study

2020 ◽  
Author(s):  
Xinguang Liu ◽  
Ran Ding ◽  
Chen Liu ◽  
Bin Yang ◽  
Weiguo Wang
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Medial Meniscus ◽  
Multivariate Logistic Regression Analysis ◽  
Control Group ◽  
Independent Factor ◽  
Multivariate Logistic Regression ◽  
Factors Associated ◽  
Meniscus Tears

Abstract Background Previous studies have indicated that medial meniscal subluxation (MMS) is associated with special types of medial meniscus tears (MMT) and chondral lesions. However, most of these studies lacked arthroscopic findings and did not adjust for possible confounders. The purpose of this study was to explore factors associated with MMS in patients with MMT using multivariate logistic regression analysis. Methods A retrospective analysis of 115 patients who underwent arthroscopic surgery for MMT was conducted. The medial meniscal extrusion (MME) distance was measured on a single mid-coronal magnetic resonance (MR) image, and the MMS group included patients with MME distance ≥3 mm (55 patients with 55 knees). Other patients were included as the control group (60 patients with 60 knees). Demographic and clinical data were collected as variates. A multivariate logistic regression analysis was performed to identify factors associated with MMS. Results In a univariate analysis, the Outerbridge classification (P=0.002) and the type of MMT (P<0.001) were significantly different between the MMS group and the control group. According to unadjusted and age- and body mass index (BMI)-adjusted multivariate logistic regression analysis, the type of MMT was an independent factor associated with MMS. Compared with horizontal tears, radial tears, posterior medial meniscus root tears (PMMRT) and complex tears had approximately 6-fold (adjusted OR 6.468, 95% CI 1.509–27.718, P=0.012), 10-fold (adjusted OR 10.324, 95% CI 1.719–61.989, P=0.011) and 4-fold (adjusted OR 4.458, 95% CI 1.602–12.408, P=0.004) higher associations with MMS, respectively. Conclusion The type of MMT was an independent factor associated with MMS in knees with MMT. Radial tears, PMMRT and complex tears were more likely than horizontal tears to result in MMS. The results suggest that MMT combined with MMS should be noted when managing MMT, especially radial tears, PMMRT and complex tears. Moreover, the results indicate that we must not only preserve the meniscus as much as possible but also restore its position to as close to normal as possible.

scholarly journals Factors associated with medial meniscal subluxation in knees with medial meniscus tears: a cross-sectional study

2020 ◽  
Author(s):  
Xinguang Liu ◽  
Ran Ding ◽  
Chen Liu ◽  
Bin Yang ◽  
Weiguo Wang
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Medial Meniscus ◽  
Multivariate Logistic Regression Analysis ◽  
Control Group ◽  
Multivariate Logistic Regression ◽  
Factors Associated ◽  
Median Distance ◽  
Meniscus Tears

Abstract Background Previous studies have indicated that medial meniscal subluxation (MMS) was associated with special types of medial meniscus tears (MMT) and chondral lesions. However, most of these studies lacked arthroscopic findings and had not adjusted for possible confounders. The purpose of this study was to explore the factors associated with MMS in patients with MMT using multivariate logistic regression analysis. Methods A retrospective analysis of 115 patients who underwent arthroscopic surgery for MMT was conducted. The medial meniscal extrusion (MME) distance was measured on a single mid-coronal MR image, and the MMS group included patients with MME ≥3 mm (55 patients with 55 knees). Other patients were included as the control group (60 patients with 60 knees). Demographic and clinical data were collected as variates. A multivariate logistic regression analysis was performed to identify the factors associated with MMS. Results The MME distance was significantly higher in the MMS group (median distance: 3.5 mm, interquartile range: 3.3–4.1 mm) than in the control group (median distance: 1.8 mm, interquartile range: 1.3–2.3 mm, P<0.001). The Outerbridge classification (P=0.002) and the type of MMT (P=0.001) were significantly different between the MMS group and the control group. According to the multivariate logistic regression analysis, the type of MMT (P=0.015) was the independent factor associated with MMS after adjusting for other variates. Compared with horizontal tears, radial tears, PMMRT and complex tears had an approximately 8-fold (OR 7.592, 95 % CI 1.681–34.295, P=0.008), 11-fold (OR 11.451, 95 % CI 1.763–74.379, P=0.011) and 4-fold (OR 4.387, 95 % CI 1.558–12.355, P=0.005) higher association with MMS, respectively. Conclusion The type of MMT was an independent factor associated with MMS in knees with MMT. Radial tears, PMMRT and complex tears were more likely than horizontal tears to result in MMS. These results suggest that MMT combined with MMS should be noticed when managing MMT, especially radial tears, PMMRT and complex tears. We must not only preserve the meniscus as much as possible but also restore its position to as close to normal as possible.

scholarly journals Efficacy of flurbiprofen axetil for preventing postanesthetic shivering in patients undergoing gynecologic laparotomy surgeries

2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Atsushi Kotera
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Postoperative Pain ◽  
Logistic Regression Analysis ◽  
Pain Control ◽  
Multivariate Logistic Regression Analysis ◽  
Multivariate Logistic Regression ◽  
Postoperative Pain Control ◽  
Flurbiprofen Axetil ◽  
Postanesthetic Shivering

Abstract Background Postanesthetic shivering is an unpleasant adverse event in surgical patients. A nonsteroidal anti-inflammatory drug has been reported to be useful in preventing postanesthetic shivering in several previous studies. The aim of this study was to evaluate the efficacy of flurbiprofen axetil being a prodrug of a nonsteroidal anti-inflammatory drug for preventing postanesthetic shivering in patients undergoing gynecologic laparotomy surgeries. Method This study is a retrospective observational study. I collected data from patients undergoing gynecologic laparotomy surgeries performed between October 1, 2019, and September 30, 2020, at Kumamoto City Hospital. All the patients were managed with general anesthesia with or without epidural analgesia. The administration of intravenous 50 mg flurbiprofen axetil for postoperative pain control at the end of the surgery was left to the individual anesthesiologist. The patients were divided into two groups: those who had received intravenous flurbiprofen axetil (flurbiprofen group) and those who had not received intravenous flurbiprofen axetil (non-flurbiprofen group), and I compared the frequency of postanesthetic shivering between the two groups. Additionally, the factors presumably associated with postanesthetic shivering were collected from the medical charts. Intergroup differences were assessed with the χ2 test with Yates’ correlation for continuity category variables. The Student’s t test was used to test for differences in continuous variables. Furthermore, a multivariate logistic regression analysis was performed to elucidate the relationship between the administration of flurbiprofen axetil and the incidence of PAS. Results I retrospectively examined the cases of 141 patients aged 49 ± 13 (range 21-84) years old. The overall postanesthetic shivering rate was 21.3% (30 of the 141 patients). The frequency of postanesthetic shivering in the flurbiprofen group (n = 31) was 6.5%, which was significantly lower than that in the non-flurbiprofen group (n = 110), 25.5% (p value = 0.022). A multivariate logistic regression analysis showed that administration of flurbiprofen axetil was independently associated with a reduced incidence of postanesthetic shivering (odds ratio 0.12; 95% confidence interval, 0.02-0.66, p value = 0.015). Conclusions My result suggests that intraoperative 50 mg flurbiprofen axetil administration for postoperative pain control is useful to prevent postanesthetic shivering in patients undergoing gynecologic laparotomy surgeries.

scholarly journals Risk factors for tissue expander infection in scar reconstruction: a retrospective cohort study of 2374 consecutive cases

2020 ◽  
Vol 8 ◽  
Author(s):  
Chen Dong ◽  
Minhui Zhu ◽  
Luguang Huang ◽  
Wei Liu ◽  
Hengxin Liu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Treatment Failure ◽  
Logistic Regression Analysis ◽  
Disease Duration ◽  
Multivariate Logistic Regression Analysis ◽  
Tissue Expansion ◽  
Multivariate Logistic Regression ◽  
Hematoma Evacuation

Abstract Background Tissue expansion is used for scar reconstruction owing to its excellent clinical outcomes; however, the complications that emerge from tissue expansion hinder repair. Infection is considered a major complication of tissue expansion. This study aimed to analyze the perioperative risk factors for expander infection. Methods A large, retrospective, single-institution observational study was carried out over a 10-year period. The study enrolled consecutive patients who had undergone tissue expansion for scar reconstruction. Demographics, etiological data, expander-related characteristics and postoperative infection were assessed. Univariate and multivariate logistic regression analysis were performed to identify risk factors for expander infection. In addition, we conducted a sensitivity analysis for treatment failure caused by infection as an outcome. Results A total of 2374 expanders and 148 cases of expander infection were assessed. Treatment failure caused by infection occurred in 14 expanders. Multivariate logistic regression analysis identified that disease duration of ≤1 year (odds ratio (OR), 2.07; p &lt; 0.001), larger volume of expander (200–400 ml vs &lt;200 ml; OR, 1.74; p = 0.032; &gt;400 ml vs &lt;200 ml; OR, 1.76; p = 0.049), limb location (OR, 2.22; p = 0.023) and hematoma evacuation (OR, 2.17; p = 0.049) were associated with a high likelihood of expander infection. Disease duration of ≤1 year (OR, 3.88; p = 0.015) and hematoma evacuation (OR, 10.35; p = 0.001) were so related to high risk of treatment failure. Conclusions The rate of expander infection in patients undergoing scar reconstruction was 6.2%. Disease duration of &lt;1 year, expander volume of &gt;200 ml, limb location and postoperative hematoma evacuation were independent risk factors for expander infection.

Relationship Between Rotator Cuff Tears and Scapular Morphology

2021 ◽  
Author(s):  
Yoshihiro Nakamura ◽  
Shin Yokoya ◽  
Yuki Matsubara ◽  
Yohei Harada ◽  
Nobuo Adachi
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Rotator Cuff ◽  
Logistic Regression Analysis ◽  
Multivariate Logistic Regression Analysis ◽  
Lateral View ◽  
Multivariate Logistic Regression ◽  
Inferior Angle ◽  
Scapular Spine ◽  
Scapular Body

Abstract Background The purpose of this study was to identify differences in the morphology of the scapula according to the presence or absence of a rotator cuff tear (RCT). Methods One hundred and three shoulders with and 87 shoulders without RCTs were included in this study. The critical shoulder angle (CSA) and lateral acromion angle in the frontal view and the acromial coverage angle (ACA) and coracoid and scapular spine angle (CSSA) in the lateral view were evaluated using three-dimensional computed tomography. The glenoid anterior tilt, anterior acromial projection angle (AAPA), coracoid process angle, scapular spine angle (SSA) and inferior angle angle (IAA) with respect to the scapular plane were measured in the lateral view. The morphological parameters of the scapula associated with RCT were statistically analysed using a multivariate logistic regression analysis. Results In univariate logistic regression analysis, CSA, ACA, CSSA, AAPA, SSA and IAA were significantly different between shoulders with and without RCTs. In multivariate logistic regression analysis, CSA and IAA were greater in shoulders with RCT and were significantly associated with this condition. Conclusion To the best of our knowledge, this is the first study to focus on the relationship between RCT and the scapular body. RCT cases were characterised by a greater curvature of the scapular body in addition to CSA.

Confirmatory germline testing for presumed germline pathogenic variants using tumor-only testing.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e22524-e22524
Author(s):  
Tomohiro Kondo ◽  
Takahiro Yamada ◽  
Masahiro Yoshioka ◽  
Masakazu Nishigaki ◽  
Yoshihiro Yamamoto ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Multivariate Logistic Regression Analysis ◽  
Tumor Board ◽  
Genomic Profiling ◽  
Multivariate Logistic Regression ◽  
Pathogenic Variants ◽  
Comprehensive Genomic Profiling ◽  
Germline Testing

e22524 Background: Presumed germline pathogenic variants (PGPVs) can be detected in tumor tissues using comprehensive genomic profiling. Clinicians and patients can decide whether to conduct confirmatory germline testing or not. However, the promoting and obstructive factors for confirmatory germline testing are unclear. Methods: This single institutional retrospective study aimed to identify factors related to confirmatory germline testing in patients with PGPVs. Between April 2015 and April 2019, 270 consecutive patients with cancers of unknown primary site, rare tumors, or solid tumors refractory to standard chemotherapy, who underwent tumor-only comprehensive genomic profiling were reviewed. PGPVs were proposed to be disclosed as variants to the patients by our institutional molecular tumor board. Univariate logistic regression analysis was conducted to investigate the relationship between each patient’s characteristics and confirmatory germline testing. Factors showing a statistical relationship (p < 0.10 in univariate analyses) were included in multivariate logistic regression analysis with a backward selection of variables. Statistical significance was set at p < 0.05. Results: Of the 270 patients who underwent tumor-only comprehensive genomic profiling, 77 possessed PGPVs. The most common PGPVs were TP53 (n = 56), APC (n = 9), PTEN (n = 7), RB1 (n = 6), and BRCA2 (n = 6). Among the 77 patients, only 11 (14.3%) chose to undergo confirmatory germline testing. Multivariate logistic regression analysis revealed that the person disclosing the results (experienced oncologists with knowledge of cancer genome medicine vs. others, odds ratio [OR]: 27.7, 95% confidence interval [CI]: 4.60–167) and study period (OR: 0.110, 95% CI: 0.015–0.787) were independently and significantly associated with confirmatory germline testing. Conclusions: These findings indicate that fostering genomic competency in oncologists and collaborating with genetic experts would facilitate cancer patients and their families to receive genetic medical services in the process of cancer genomic profiling.

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