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

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

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

10.21203/rs.3.rs-128672/v1 ◽

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

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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

Journal of Diabetes Research ◽

10.1155/2016/4351376 ◽

2016 ◽

Vol 2016 ◽

pp. 1-5 ◽

Cited By ~ 4

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.

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

Vojnosanitetski pregled ◽

10.2298/vsp170328029s ◽

2019 ◽

Vol 76 (11) ◽

pp. 1178-1183 ◽

Cited By ~ 1

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.

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Transnasal Endoscopic Evaluation of Swallowing: A Bedside Technique to Evaluate Ability to Swallow Pureed Diets in Elderly Patients with Dysphagia

Canadian Journal of Gastroenterology ◽

10.1155/2013/646373 ◽

2013 ◽

Vol 27 (8) ◽

pp. 459-462 ◽

Cited By ~ 9

Author(s):

Torao Sakamoto ◽

Akira Horiuchi ◽

Yoshiko Nakayama

Keyword(s):

Logistic Regression ◽

Regression Analysis ◽

Elderly Patients ◽

Logistic Regression Analysis ◽

Multivariate Logistic Regression Analysis ◽

Multivariate Logistic Regression ◽

Endoscopic Evaluation ◽

Transnasal Endoscopy ◽

Comorbid Diseases ◽

Bedside Method

BACKGROUND: Endoscopic evaluation of swallowing (EES) is not commonly used by gastroenterologists to evaluate swallowing in patients with dysphagia.OBJECTIVE: To use transnasal endoscopy to identify factors predicting successful or failed swallowing of pureed foods in elderly patients with dysphagia.METHODS: EES of pureed foods was performed by a gastroenterologist using a small-calibre transnasal endoscope. Factors related to successful versus unsuccessful swallowing of pureed foods were analyzed with regard to age, comorbid diseases, swallowing activity, saliva pooling, vallecular residues, pharyngeal residues and airway penetration/aspiration. Unsuccessful swallowing was defined in patients who could not eat pureed foods at bedside during hospitalization. Logistic regression analysis was used to identify independent predictors of swallowing of pureed foods.RESULTS: During a six-year period, 458 consecutive patients (mean age 80 years [range 39 to 97 years]) were considered for the study, including 285 (62%) men. Saliva pooling, vallecular residues, pharyngeal residues and penetration/aspiration were found in 240 (52%), 73 (16%), 226 (49%) and 232 patients (51%), respectively. Overall, 247 patients (54%) failed to swallow pureed foods. Multivariate logistic regression analysis demonstrated that the presence of pharyngeal residues (OR 6.0) and saliva pooling (OR 4.6) occurred significantly more frequently in patients who failed to swallow pureed foods.CONCLUSIONS: Pharyngeal residues and saliva pooling predicted impaired swallowing of pureed foods. Transnasal EES performed by a gastroenterologist provided a unique bedside method of assessing the ability to swallow pureed foods in elderly patients with dysphagia.

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Associations of serum uric acid and urinary albumin with the severity of diabetic retinopathy in individuals with type 2 diabetes

BMC Ophthalmology ◽

10.1186/s12886-020-01713-5 ◽

2020 ◽

Vol 20 (1) ◽

Author(s):

Donghe Chen ◽

Xiufang Sun ◽

Xinxin Zhao ◽

Ying Liu

Keyword(s):

Type 2 Diabetes ◽

Diabetic Retinopathy ◽

Uric Acid ◽

Regression Analysis ◽

Biochemical Parameters ◽

Demographic Data ◽

Multivariate Logistic Regression Analysis ◽

Urinary Albumin ◽

Multivariate Logistic Regression

Abstract Background Diabetic retinopathy (DR) is a serious microvascular complication of type 2 diabetes mellitus (T2DM). The aim of this retrospective study was to reveal the risk factors for the severity of DR in individuals with T2DM. Demographic data and biochemical parameters were collected and analyzed. Methods A total of 518 individuals with type 2 diabetes were included. These individuals were classified into three groups according to the severity of diabetic retinopathy: non-diabetic retinopathy (NDR) group (N = 172), non proliferative diabetic retinopathy (NPDR) group (N = 184), and proliferative diabetic retinopathy (PDR) group (N = 162). Demographic and clinical measurement data of the individuals were collected by reviewing medical records and direct interview. The demographic data and biochemical parameters between groups were compared using Student’s t-test. Moreover, the factors related to severity of diabetic retinopathy were identified by using the multivariate logistic regression analysis. Results No significant difference in age, gender, body mass index (BMI), and diabetes duration was found among these three groups. The serum uric acid (SUA), total cholesterol (TC), low density lipoprotein cholesterol (LDL-c), homocysteine, and urinary albumin levels were significantly higher in the NPDR and PDR group than those in the NDR group (P < 0.05). The individuals in the PDR group had obviously higher levels of SUA, homocysteine, and urinary albumin than individuals in the NPDR group (P < 0.05). The multivariate logistic regression analysis revealed that high SUA, homocysteine, TC, LDL-c, and urinary albumin levels were associated with more serious diabetic retinopathy (OR > 1; P < 0.05). Conclusion The concentrations of SUA and urinary albumin are associated with the severity of DR in individuals with T2DM.

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Perioperative Factors Affecting Length of Hospital Stay Among Elderly Patients

Medicina ◽

10.3390/medicina49060040 ◽

2013 ◽

Vol 49 (6) ◽

pp. 40 ◽

Cited By ~ 2

Author(s):

Gytė Damulevičienė ◽

Vita Lesauskaitė ◽

Jūratė Macijauskienė ◽

Kastytis Šmigelskas ◽

Donatas Venskutonis

Keyword(s):

Risk Factors ◽

Logistic Regression ◽

Regression Analysis ◽

Cognitive Impairment ◽

Elderly Patients ◽

Hospital Stay ◽

Multivariate Logistic Regression Analysis ◽

Length Of Hospital Stay ◽

Cognitive Disorder ◽

Multivariate Logistic Regression

Background and Objective. Timely assessment and prevention of risk factors for the main perioperative complications in elderly patients provide an opportunity to avoid them, decrease mortality, and diminish costs associated with longer hospital stay. The aim of this study was to estimate perioperative factors that could potentially predict the length of stay and to estimate their predictive value using a comprehensive geriatric assessment among elderly patients. Material and Methods. The study population comprised 99 surgical patients aged 65 and more. The patients were followed up until discharge. Study data analysis included questionnaires, anthropometric measurements before surgery, assessment and interviews after surgery, and case histories. Univariate and multivariate logistic regression analysis was performed. Results. Malnutrition was detected in 53.5% of the patients. Postoperative cognitive disorder was documented in 18.2% of elderly patients. The mean length of hospital stay was 10.1 days (SD, 9.14). Multivariate logistic regression analysis revealed that the best predictors for longer hospital stay in elderly patients were malnutrition (OR, 4.2; 95% CI, 1.5–11.8; P=0.007) together with postoperative cognitive impairment (OR, 9.2; 95% CI, 1.0–83.3; P=0.048). The total predictive value of the model was 70.5%. Conclusions. Malnutrition and a postoperative cognitive disorder were independent risk factors for longer hospital stay, while depression, cognitive impairment, functional dependence, and poor physical status were not independently associated with longer hospital stay. A comprehensive geriatric assessment can help assess the risk factors for longer treatment and predict the length of hospital stay, thus enabling the planning of optimal healthcare management of elderly patients.

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

JA Clinical Reports ◽

10.1186/s40981-020-00403-x ◽

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.

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

Burns & Trauma ◽

10.1093/burnst/tkaa037 ◽

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 < 0.001), larger volume of expander (200–400 ml vs <200 ml; OR, 1.74; p = 0.032; >400 ml vs <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 <1 year, expander volume of >200 ml, limb location and postoperative hematoma evacuation were independent risk factors for expander infection.

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Donepezil Combined with DL-3-n-Butylphthalide Delays Cognitive Decline in Patients with Mild to Moderate Alzheimer’s Disease: A Multicenter, Prospective Cohort Study

Journal of Alzheimer s Disease ◽

10.3233/jad-201381 ◽

2021 ◽

Vol 80 (2) ◽

pp. 673-681

Author(s):

Jin Wang ◽

Xiaojuan Guo ◽

Wenhui Lu ◽

Jie Liu ◽

Hong Zhang ◽

...

Keyword(s):

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Logistic Regression ◽

Regression Analysis ◽

Cohort Study ◽

Prospective Cohort ◽

Daily Living ◽

Multivariate Logistic Regression Analysis ◽

Multivariate Logistic Regression ◽

Significant Difference

Background: Vascular factors and mitochondria dysfunction contribute to the pathogenesis of Alzheimer’s disease (AD). DL-3-n-butylphthalide (NBP) has an effect in protecting mitochondria and improving microcirculation. Objective: The aim was to investigate the effect of donepezil combined NBP therapy in patients with mild-moderate AD. Methods: It was a prospective cohort study. 92 mild-moderate AD patients were classified into the donepezil alone group (n = 43) or the donepezil combined NBP group (n = 49) for 48 weeks. All patients were evaluated with Alzheimer’s Disease Assessment Scale-Cognitive subscale (ADAS-cog), Clinician’s Interview-Based Impression of Change plus caregiver input (CIBIC-plus), Alzheimer’s Disease Cooperative Study-Activities of Daily Living (ADCS-ADL), and Neuropsychiatric Inventory (NPI) every 12 weeks. All patients were monitored for adverse events (AEs). The efficacy was analyzed using multivariate logistic regression analysis. Results: The multivariate logistic regression analysis showed that the changes of ADAS-cog score (OR = 2.778, 95% CI: [1.087, 7. 100], p = 0.033) and ADCS-ADL score (OR = 2.733, 95% CI: [1.002, 7.459], p = 0.049) had significant difference between donepezil alone group and donepezil combined NBP group, while the changes of NPI (OR = 1.145, 95% CI: [0.463, 2.829], p = 0.769), MMSE (OR = 1.563, 95% CI: [0.615, 3.971], p = 0.348) and CIBIC-plus (OR = 2.593, 95% CI: [0.696, 9.685], p = 0.156) had no significant difference. The occurrence of AEs was similar in the two groups. Conclusion: Over the 48-week treatment period, donepezil combined NBP group had slower cognitive decline and better activities of daily living in patients with mild to moderate AD. These indicated that the multi-target therapeutic effect of NBP may be a new choice for AD treatment.

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