scholarly journals Association of Postbreakfast Triglyceride and Visit-to-Visit Annual Variation of Fasting Plasma Glucose with Progression of Diabetic Nephropathy in Patients with Type 2 Diabetes

2016 ◽  
Vol 2016 ◽  
pp. 1-5 ◽  
Author(s):  
Kaori Kitaoka ◽  
Akiko Takenouchi ◽  
Ayaka Tsuboi ◽  
Keisuke Fukuo ◽  
Tsutomu Kazumi
Keyword(s):  
Type 2 Diabetes ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Plasma Glucose ◽  
Multivariate Logistic Regression Analysis ◽  
Lipid Lowering ◽  
Diabetic Patients ◽  
Multivariate Logistic Regression

Urinary albumin/creatinine ratio (ACR) was measured at baseline and after a median follow-up of 6.0 years in 161 patients with type 2 diabetes. Intrapersonal means and SD of HbA1c, systolic BP, fasting, and postmeal plasma glucose (FPG and PMPG, resp.) and serum triglycerides (FTG and PMTG, resp.) were calculated in each patient during the first 12 months after enrollment. Associations of these variables with nephropathy progression (15 patients with progression of albuminuric stages and 5 with ACR doubling within the microalbuminuric range) were determined by multivariate logistic regression analysis providing odds ratio with 95% confidential interval. Patients with nephropathy progression, compared with those without nephropathy progression, had higher HbA1c (p<0.01). They also had higher means and SD of FPG (bothp<0.05), FTG (bothp<0.05), and PMTG (p=0.001). Multivariate logistic regression analysis demonstrated that SD-FPG (1.036, 1.001–1.073,p=0.04) and PMTG (1.013, 1.008–1.040,p=0.001) were significant predictors of progression of nephropathy even after adjustment for mean FPG and SD-FTG, age, sex, BMI, waist circumference, diabetes duration and therapy, means and SDs of HbA1c, PPG, FTG and systolic BP, baseline ACR, smoking status, and uses of antihypertensive and lipid-lowering medications. Consistency of glycemic control and management of postmeal TG may be important to prevent nephropathy progression in type 2 diabetic patients.

The association between hypoglycemia and glycemic variability in elderly patients with type 2 diabetes: cross-sectional study

2020 ◽  
Author(s):  
Takahisa Handa ◽  
Akinobu Nakamura ◽  
Aika Miya ◽  
Hiroshi Nomoto ◽  
Hiraku Kameda ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Elderly Patients ◽  
Logistic Regression Analysis ◽  
Roc Curve ◽  
Multivariate Logistic Regression Analysis ◽  
Glycemic Variability ◽  
Multivariate Logistic Regression

Abstract BackgroundThis study aimed to explore predictive factors of time below target glucose range (TBR) ≥ 1% among patients’ characteristics and glycemic variability (GV) indices using continuous glucose monitoring data in elderly patients with type 2 diabetes.MethodsWe conducted a prospective observational study on 179 (71 female) Japanese outpatients with type 2 diabetes aged ≥ 65 years. The characteristics of the participants with TBR ≥ 1% were evaluated by multivariate logistic regression analysis. Receiver-operating characteristic (ROC) curve analyses of GV indices, comprising coefficient of variation (CV), standard deviation, and mean amplitude of glycemic excursions, were performed to identify the optimal index for the identification of patients with TBR ≥ 1%.ResultsIn the multivariate logistic regression analysis, none of the clinical characteristics, including HbA1c and C-peptide index, were independent markers for TBR ≥ 1%, while all three GV indices showed significant associations with TBR ≥ 1%. Among the three GV indices, CV showed the best performance based on the area under the curve in the ROC curve analyses.ConclusionsAmong elderly patients with type 2 diabetes, CV reflected TBR ≥ 1% most appropriately among the GV indices examined.Trial registration: UMIN-CTR: UMIN000029993. Registered 16 November 2017

scholarly journals The association between hypoglycemia and glycemic variability in elderly patients with type 2 diabetes: a prospective observational study

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Takahisa Handa ◽  
Akinobu Nakamura ◽  
Aika Miya ◽  
Hiroshi Nomoto ◽  
Hiraku Kameda ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Observational Study ◽  
Elderly Patients ◽  
Prospective Observational Study ◽  
Multivariate Logistic Regression Analysis ◽  
Glycemic Variability ◽  
Multivariate Logistic Regression

Abstract Background This study aimed to explore predictive factors of time below target glucose range (TBR) ≥ 1% among patients’ characteristics and glycemic variability (GV) indices using continuous glucose monitoring data in elderly patients with type 2 diabetes. Methods We conducted a prospective observational study on 179 (71 female) Japanese outpatients with type 2 diabetes aged ≥ 65 years. The characteristics of the participants with TBR ≥ 1% were evaluated by multivariate logistic regression analysis. Receiver-operating characteristic (ROC) curve analyses of GV indices, comprising coefficient of variation (CV), standard deviation, and mean amplitude of glycemic excursions, were performed to identify the optimal index for the identification of patients with TBR ≥ 1%. Results In the multivariate logistic regression analysis, none of the clinical characteristics, including HbA1c and C-peptide index, were independent markers for TBR ≥ 1%, while all three GV indices showed significant associations with TBR ≥ 1%. Among the three GV indices, CV showed the best performance based on the area under the curve in the ROC curve analyses. Conclusions Among elderly patients with type 2 diabetes, CV reflected TBR ≥ 1% most appropriately among the GV indices examined. Trial registration UMIN-CTR: UMIN000029993. Registered 16 November 2017

scholarly journals Factors associated with depression in the patients with diabetes mellitus type 2

2019 ◽  
Vol 76 (11) ◽  
pp. 1178-1183 ◽  
Author(s):  
Admir Sabanovic ◽  
Natasa Maksimovic ◽  
Mirjana Stojanovic-Tasic ◽  
Marijan Bakic ◽  
Anita Grgurevic
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Diabetes Mellitus Type 2 ◽  
Multivariate Logistic Regression Analysis ◽  
Multivariate Logistic Regression ◽  
Factors Associated

Background/Aim. The assessment of association of depression and diabetes mellitus type 2 using the Patient Health Questionaire (PHQ-9) has not been done in Montenegro. The aim of this study was to assess the prevalence of depression in the patients with type 2 diabetes mellitus, and to identify the risk factors associated with the presence of depression. Methods. A cross-sectional study was conducted at the General Hospital in Bijelo Polje, from July to September, 2015. It included 70 patients over 35 years of age with the diagnosis of diabetes for at least six months. For the assessment of depression presence and intensity PHQ?9 was used. All variables associated with the presence of depression at a significance level of p < 0.05 were included into the final method of the multivariate logistic regression analysis. Results. Comorbidities were statistically significant more frequent among patients with depression (?2 = 5.40; p = 0.020). Duration of diabetes over five years was significantly associated with depression (?2 = 12.48; p < 0.001). Depression occurred more frequently among physically inactive subjects (?2 = 10.74; p = 0.005). The presence of diabetic polyneuropathy (?2 = 6.04; p = 0.014) and cataract (?2 = 5.351; p = 0.021) were also significantly associated with depression. A multivariate logistic regression analysis showed that the duration of diabetes over five years and presence of cataract were independently associated with depression. Conclusion. The risk factors for depression among the subjects with diabetes were disease duration more than five years and the presence of cataract. Since depression is a serious disease and can be a risk factor for many chronic diseases, the best way of prevention is its early detection and treatment.

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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