MicroRNA 146a is associated with diabetic complications in type 1 diabetic patients from the EURODIAB PCS

Abstract Background MicroRNA-146a-5p (miR-146a-5p) is a key regulator of inflammatory processes. Expression of miR-146a-5p is altered in target organs of diabetic complications and deficiency of miR-146a-5p has been implicated in their pathogenesis. We investigated if serum miR-146a-5p levels were independently associated with micro/macrovascular complications of type 1 diabetes (DM1). Methods A nested case–control study from the EURODIAB PCS of 447 DM1 patients was performed. Cases (n = 294) had one or more complications of diabetes, whereas controls (n = 153) did not have any complication. Total RNA was isolated from all subjects and miR-146a-5p levels measured by qPCR. Both the endogenous controls U6 snRNA and the spike (Cel-miR-39) were used to normalize the results. Logistic regression analysis was carried out to investigate the association of miR-146a-5p with diabetes complications. Results MiR-146a-5p levels were significantly lower in cases [1.15 (0.32–3.34)] compared to controls [1.74 (0.44–6.74) P = 0.039]. Logistic regression analysis showed that levels of miR-146a-5p in the upper quartile were inversely associated with reduced odds ratio (OR) of all complications (OR 0.34 [95% CI 0.14–0.76]) and particularly with cardiovascular diseases (CVD) (OR 0.31 [95% CI 0.11–0.84]) and diabetic retinopathy (OR 0.40 [95% CI 0.16–0.99]), independently of age, sex, diabetes duration, A1c, hypertension, AER, eGFR, NT-proBNP, and TNF-α. Conclusions In this large cohort of DM1 patients, we reported an inverse and independent association of miR-146a-5p with diabetes chronic complications and in particular with CVD and retinopathy, suggesting that miR-146a-5p may be a novel candidate biomarker of DM1 complications.

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Expression and clinical significance of the receptors of the EGF family in oral squamous cell carcinomas

Translational Research in Oral Oncology ◽

10.1177/2057178x19836532 ◽

2019 ◽

Vol 4 ◽

pp. 2057178X1983653

Author(s):

Upul Dissanayake

Keyword(s):

Overall Survival ◽

Logistic Regression ◽

Regression Analysis ◽

Growth Factor ◽

Squamous Cell ◽

Logistic Regression Analysis ◽

Growth Factor Receptor ◽

Squamous Cell Carcinomas ◽

Her 2

Objective: To examine the immunohistochemical expression of four members of the type 1 growth factor receptor family in oral squamous cell carcinomas (OSCCs) and to correlate with clinical outcomes. Materials and methods: Sixty OSCCs from a patient cohort in Sri Lanka were included in the study. Five sections from each carcinoma were immunostained with antibodies to epidermal growth factor receptor (EGFR)/c-erbB-1, c-erbB-2/HER-2/neu, c-erbB-3/HER-3 and c-erbB-4/HER-4. Two clones were used to stain for c-erbB-2/HER-2/neu. Semiquantitative analysis of immunoreactivity was carried out by scoring the intensity of expression and proportions of positively stained cells. A logistic regression analysis was performed to examine positive expression against overall survival. Results: There was heterogenous expression of the four receptors, positivity ranging from 26% to 60%. Co-expression of all four markers was observed only in 1–3% of the tumours. Both membranous and cytoplasmic expressions were observed, EGFR showing predominantly membranous expression and c-erbB-2 showing only cytoplasmic staining. In logistic regression analysis, none of the growth factor receptors were significantly predictive of overall survival. Conclusion: Type 1 growth factor receptors are highly expressed in oral carcinomas, EGFR being the predominant marker.

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Clinical Characteristics, Serum Uric Acid and Bullosis Diabeticorum Outcomes in Patients With Diabetes Mellitus

10.21203/rs.3.rs-702864/v1 ◽

2021 ◽

Author(s):

Yulan Cai ◽

Shili Zhang ◽

Ying Cao ◽

Fang Gao ◽

Mengchen Zou

Keyword(s):

Logistic Regression ◽

Regression Analysis ◽

Logistic Regression Analysis ◽

Multiple Logistic Regression Analysis ◽

Laboratory Data ◽

Control Group ◽

Multivariable Logistic Regression Analysis ◽

Diabetic Patients ◽

Patients With Diabetes ◽

Bullosis Diabeticorum

Abstract Background: Bullosis diabeticorum (BD) is a spontaneous, non-inflammatory vesicular disease of diabetes, with the observed risk of infection, including diabetic skin ulcers, osteomyelitis and even leading to amputation. However, the exact cause of BD is not well understood. So the aim of this study is to explore the high-risk factors of BD for preventing its occurrence.Methods: A retrospective study was conducted, including baseline characteristics, laboratory data, and bullosis diabeticorum outcomes of 602 patients with bullosis diabeticorum. Besides, 904 diabetic patients without bullosis diabeticorum in the same period were randomly selected as the control group. The indicators of the two groups were compared. Multivariable logistic regression analysis was performed to investigate which indicator was most associated with bullosis diabeticorum outcomes.Results: SCr[145.00(69.00-195.00) μmol/L, n = 602 vs. 81.00(27.40-35.60) μmol/L, n= 904, p=0.032], BUA [674.00(372.50-758.50) µmol/L, n = 602 vs. 318.50(241.75-415.25) µmol/L, n= 904, p = 0.003] and Cys-C[1.96(1.10-2.95) mg/L, n = 602 vs. 1.49(1.10-1.62) mg/L, n = 904, p=0.004] was significantly higher in BD-positive patients than that in BD-negative patients, whereas eGFR [67.38(45.33-87.53) ml/min, n = 602 vs. 75.86(56.80-95.69) ml/min, n = 904, p=0.038] of patients with BD was significantly lower than that of patients without BD. Multiple logistic regression analysis showed that BUA, but not SCr, Cys-C and eGFR, was independently and significantly associated in a positive manner with BD (odds ratio: 8.569, 95% confidence interval: 1.136-55.250, p=0.004).Conclusion: We found a positive and independent association of BUA with BD, which provides a great clinical predictive factor for BD and helps to prevent the appearance of diabetic foot.

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Risiko Stres terhadap Penyakit Jantung Koroner (Analisis Lanjut Studi Kohort Penyakit Tidak Menular): Nested-case control

Jurnal Ilmiah Kesehatan ◽

10.33221/jikes.v19i03.660 ◽

2020 ◽

Vol 19 (03) ◽

pp. 120-125

Author(s):

Fatikhatul Mabruroh ◽

Syahrizal Syarif

Keyword(s):

Logistic Regression ◽

Regression Analysis ◽

Logistic Regression Analysis ◽

Conditional Logistic Regression ◽

Case Control ◽

Conditional Logistic Regression Analysis ◽

Nested Case Control

Penyakit Jantung koroner menjadi masalah kesehatan global baik pada negara maju ataupunberkembang. Stres sebagai salah satu faktor risiko penyakit jantung koroner masih kurangmendapatkan perhatian. Tujuan penelitian ini untuk mengetahui hubungan stres terhadap penyakit jantungkoroner di Kota Bogor tahun 2015. Disain studi yang digunakan dalam penelitian ini adalah nestesd-case control menggunakan data kohort yang dikumpulkan oleh Badan Penelitian dan Pengembangan Kesehatan. Jumlah sampel yang diambil pada penelitian in adalah 1.078 dengan perbandingan kelompok kasus dan kontrol 1:5. Jenis analisis yang digunakan adalah conditional logistic regression analysis. Hasil analisis menunjukkan risiko stres dan variabel lainnya, stres (OR adjusted 1,07 CI 95% 0,49 – 2,33), HDL (OR adjusted 0,8 CI 95% 0,55 – 1,17) , Usia (OR adjusted 1,77 CI 95% 1,07 – 2, 92), LDL (OR adjusted 2,34 CI 95% 1,38 – 3,95), dan kolesterol total (OR adjusted 0,55 CI 95% 0,32 – 0,94) tidak berhubungan secara signifikan pada terjadinya penyakit jantung koroner. Diharapkan terdapat penelitian lainnya menggunakan alat ukur yang lebih spesifik agar dapat meminimalisir adanya misklarifikasi pada melihat asosiasi stres terhadap penyakit jantung koroner.

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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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Association between sRAGE and arterial stiffness in women with systemic lupus erythematosus

Endocrine Metabolic & Immune Disorders - Drug Targets ◽

10.2174/1871530320666200506082848 ◽

2020 ◽

Vol 20 ◽

Author(s):

Hongru Wang ◽

Yibin Zeng ◽

Huan Zheng ◽

Bin Liu

Keyword(s):

Systemic Lupus Erythematosus ◽

Logistic Regression ◽

Regression Analysis ◽

Arterial Stiffness ◽

Logistic Regression Analysis ◽

Lupus Erythematosus ◽

Pulse Wave ◽

Linear Regression Analysis ◽

Diabetic Patients ◽

Systemic Lupus

Background: sRAGE (soluble receptor for advanced glycation end products) is identified as playing a protective role in chronic inflammatory diseases, and it has been found to be related to arterial stiffness in hypertensive or diabetic patients. This cross-sectional study was designed to study the potential association of sRAGE with arterial stiffness in systemic lupus erythematosus(SLE) patients. Methods: Ninety-four female SLE patients were enrolled. Brachial-ankle pulse wave velocity (baPWV) was measured by an automatic pulse wave analyzer. Those patients were divided into two groups according to baPWV values, those with values greater than 1400cm/s being defined as the high arterial stiffness group. Biochemical parameters were compared between the two groups. Linear and logistic regression analysis was used to observe the association between sRAGE and arterial stiffness in those patients. Results: Thirty-five patients were defined as being in the high arterial stiffness group in which sRAGE levels were lower (P<0.05). sRAGE levels were significantly related to baPWV(standardized β=1.18, P<0.01) by linear regression analysis. Multivariate logistic regression analysis showed that sRAGE, SLE duration, systolic blood pressure and low-density lipoprotein cholesterol were independent predictors of arterial stiffness in those patients. Conclusion: Our results revealed that sRAGE was negatively associated with arterial stiffness in Chinese female SLE patients.

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Negative Association between Erythrocyte Reduced Glutathione Concentration and Diabetic Complications

Clinical Science ◽

10.1042/cs0910575 ◽

1996 ◽

Vol 91 (5) ◽

pp. 575-582 ◽

Cited By ~ 86

Author(s):

P. J. Thornalley ◽

A. C. McLellan ◽

T. W. C. Lo ◽

J. Benn ◽

P. H. Sönksen

Keyword(s):

Logistic Regression ◽

Regression Analysis ◽

Diabetic Complications ◽

Reduced Glutathione ◽

Diabetic Patients ◽

Glyoxalase I ◽

Duration Of Diabetes ◽

Glutathione Concentration ◽

Insulin Dependent

1. Multiple logistic regression analysis of biochemical and clinical variables in diabetic patients was performed to identify those associated with the presence of diabetic complications (retinopathy, neuropathy and nephropathy). 2. The presence of diabetic complications correlated positively with duration of diabetes and patient age and negatively with the concentration of reduced glutathione in erythrocytes. Individually, retinopathy, neuropathy and nephropathy correlated with duration of diabetes, but retinopathy also correlated positively with haemoglobin A1c in diabetic patients. In insulin-dependent patients, the concentration of methylglyoxal was also in the logistic model for retinopathy and diabetic complications, but the logistic regression coefficient was not significant. 3. Multiple linear regression analysis indicated that erythrocyte reduced glutathione concentration correlated negatively with d-lactate concentration and positively with duration of diabetes in insulin-dependent patients and correlated negatively with glucose concentration in non-insulin-dependent diabetic patients. 4. In non-diabetic subjects, erythrocyte glyoxalase I activity correlated positively with methylglyoxal concentration. There was no similar correlation in diabetic patients. In insulin-dependent patients, methylglyoxal concentration correlated positively with duration of diabetes. 5. Glyoxal and methylglyoxal are detoxified by the glyoxalase system with reduced glutathione as co-factor. The concentration of reduced glutathione may be decreased by oxidative stress and by decreased in situ glutathione reductase activity in diabetes mellitus. A reduced concentration of reduced glutathione may predispose diabetic patients to oxidative damage and to α-oxoaldehyde-mediated glycation by decreasing the in situ glyoxalase I activity. Recent studies of vascular endothelial cells in vitro have suggested that α-oxoaldehydes detoxified by glyoxalase I are the major precursors of advanced glycation end products implicated in the development of diabetic complications. The role of these factors in the development of diabetic complications and the prospective prevention of diabetic complications by supplementation of reduced glutathione and/or α-oxoaldehyde-scavenging agents now deserve investigation.

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Gender difference in the association between TyG index and subclinical atherosclerosis: results from the I-Lan Longitudinal Aging Study

Cardiovascular Diabetology ◽

10.1186/s12933-021-01391-7 ◽

2021 ◽

Vol 20 (1) ◽

Author(s):

Ya-Wen Lu ◽

Chun-Chin Chang ◽

Ruey-Hsing Chou ◽

Yi-Lin Tsai ◽

Li-Kuo Liu ◽

...

Keyword(s):

Insulin Resistance ◽

Logistic Regression ◽

Regression Analysis ◽

Logistic Regression Analysis ◽

Subclinical Atherosclerosis ◽

Gender Disparity ◽

Diabetic Patients ◽

Tyg Index ◽

Aging Study ◽

Longitudinal Aging Study

Abstract Background Insulin resistance (IR) is a known risk factor for cardiovascular disease (CVD) in non-diabetic patients through the association of hyperglycemia or associated metabolic factors. The triglyceride glucose (TyG) index, which was defined by incorporating serum glucose and insulin concentrations, was developed as a surrogate marker of insulin resistance. We aimed to investigate the association between the TyG index and the early phase of subclinical atherosclerosis (SA) between the sexes. Methods The I-Lan Longitudinal Aging Study (ILAS) enrolled 1457 subjects aged 50–80 years. For each subject, demographic data and the TyG index {ln[fasting triglyceride (mg/dL) × fasting plasma glucose (mg/dL)]/2} were obtained. Patients were further stratified according to sex and the 50th percentile of the TyG index (≥ 8.55 or < 8.55). SA was defined as the mean carotid intima-media thickness (cIMT) at the 75th percentile of the entire cohort. Demographic characteristics and the presence of SA were compared between the groups. Logistic regression analysis was performed to assess the relationship between TyG index and SA. Results Patients with a higher TyG index (≥ 8.55) had a higher body mass index (BMI), hypertension (HTN) and diabetes mellitus (DM). They had higher lipid profiles, including total cholesterol (T-Chol) and low-density lipoprotein (LDL), compared to those with a lower TyG index (< 8.55). Gender disparity was observed in non-diabetic women who had a significantly higher prevalence of SA in the high TyG index group than in the low TyG index group. In multivariate logistic regression analysis, a high TyG index was independently associated with SA in non-diabetic women after adjusting for traditional risk factors [adjusted odds ratio (OR): 1.510, 95% CI 1.010–2.257, p = 0.045] but not in non-diabetic men. The TyG index was not associated with the presence of SA in diabetic patients, irrespective of sex. Conclusion A high TyG index was significantly associated with SA and gender disparity in non-diabetic patients. This result may highlight the need for a sex-specific risk management strategy to prevent atherosclerosis.

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Modelling Modifiable Risk Factors of Stroke in South Africa: Classical and Bayesian Logistic Regression Models

10.21203/rs.3.rs-141783/v1 ◽

2021 ◽

Author(s):

Delson Chikobvu ◽

Lyness Matizirofa

Keyword(s):

Risk Factors ◽

South Africa ◽

Logistic Regression ◽

Regression Analysis ◽

Logistic Regression Analysis ◽

Public Hospitals ◽

Diabetic Patients ◽

Modifiable Risk Factors ◽

Modifiable Factors ◽

Bayesian Logistic Regression

Abstract Background: Stroke is the second leading cause of death and long-term disability in South Africa (SA). Yet little is known in SA about the modelling of modifiable risk factors of stroke. Information on the relative contribution of modifiable risk factors on stroke incidence is needed for early interventions in SA. Identification of risk factors remains the principal aspect of stroke prevention. This study aims to identify and quantify the risk of stroke associated with modifiable stroke predictors in SA. Methods: A cross-sectional hospital-based study was employed to identify and quantify the risk of stroke associated with modifiable stroke predictors using 35730 individual patient data retrieved from selected private and public hospitals between January 2014 and December 2018 in SA. Multivariate logistic regression analysis was employed to assess the effect of modifiable factors on stroke. Bayesian logistic regression analysis was employed to understand the uncertainty in the estimation of model parameters. Results: The dominant modifiable risk factors were: hypertension, cholesterol, heart problems and diabetes and all depend on the age of an individual and the interaction of these factors. The parameters, in the simpler model, of having hypertension, cholesterol, heart problems and diabetes were positive and significant confirming greater impact on the risk of stroke distribution. For instance, the odds ratio(OR) of patients with hypertension developing stroke when compared to those without hypertension is 80% higher. The OR of diabetic patients developing stroke when compared to non-diabetic was 194% higher.Conclusions: Most strokes are attributable to modifiable factors. Study findings will be used to raise awareness of modifiable risk factors to prevent strokes and recommend regular screening and treatment of identified risk factors. This will reduce the burden of stroke in SA.

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Delay in seeking medical care after the onset of symptoms in patients with sight-threatening diabetic retinopathy

10.21203/rs.2.21451/v1 ◽

2020 ◽

Author(s):

Yan Wei ◽

Fenghua Mi ◽

Yan Cui ◽

Ying Li ◽

Xinyi Wu ◽

...

Keyword(s):

Risk Factors ◽

Logistic Regression ◽

Diabetic Retinopathy ◽

Regression Analysis ◽

Medical Care ◽

Logistic Regression Analysis ◽

Diabetic Complications ◽

Odds Ratio ◽

Routine Examination ◽

Factors Associated

Abstract Background Diabetic retinopathy (DR) is a common diabetes-associated complication and a primary cause of blindness. One of the critical factors affecting timely and effectual therapy for DR is the delay in treatment after the onset of symptoms. The present study aimed to investigate the reasons for the delay in the treatment of the condition and the risk factors associated with the delay. Methods We retrospectively reviewed data from 127 patients with sight-threatening diabetic retinopathy (STDR) treated at Qilu Hospital of Shandong University in China. Various forms of STDR were identified including severe non-proliferative DR, clinically significant macular edema (CSME) and proliferative DR(PDR). Information concerning demography, clinical, and socioeconomic status of the patients was gathered. Risk factors associated with the delay was evaluated using logistic regression analysis. Results Among 127 patients with STDR, 89.2% sought medical care one month after the onset of symptoms. Patients who sought for treatment 6 months post-symptom onset had significantly lower income and less knowledge about diabetic eye complications than those presenting within 6 months. Multivariate logistic regression analysis showed that never or infrequent routine examination for diabetic complications was associated with a long delay in seeking medical care (odds ratio 3.06, 95% CI 1.05-9.19, p <0.05; odds ratio 2.91, 95% CI 1.04-8.40, p <0.05). Conclusions Most STDR patients sought medical care one month after the onset of symptoms. Never or infrequent routine examination for diabetic complications was associated with a long delay. The results of the present study stress the necessity to implement educational programs on diabetic complications to encourage early medical care and prevent disastrous outcomes.

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ANALISIS HUBUNGAN SARANA, PENGETAHUAN, DAN SIKAP BIDAN PRAKTIK MANDIRI DENGAN KEPATUHAN MENJALANKAN STANDAR PELAYANAN ANTENATAL CARE DI KOTA PADANGSIDIMPUAN

Jurnal Penelitian Kebidanan & Kespro ◽

10.36656/jpk2r.v2i1.178 ◽

2019 ◽

Vol 2 (1) ◽

pp. 27-33

Author(s):

Megawati Sinambela ◽

Evi Erianty Hasibuan

Keyword(s):

Logistic Regression ◽

Regression Analysis ◽

Antenatal Care ◽

Pregnant Women ◽

Logistic Regression Analysis ◽

Care Service ◽

Multivariate Logistic Regression Analysis ◽

Bivariate Analysis ◽

Cross Sectional ◽

The North

Antenatal care is a service provided to pregnant women to monitor, support maternal health and detect mothers whether normal or problematic pregnant women. According to the WHO, globally more than 70% of maternal deaths are caused by complications of pregnancy and childbirth such as hemorrhage, hypertension, sepsis, and abortion. Based on data obtained from the profile of the North Sumatra provincial health office in 2017, in the city of Padangsidimpuan in 2017 the coverage of ANC visits reached (76.58%) and had not reached the target in accordance with the 2017 Provincial Health Office strategy plan (95%). This type of research was an observational analytic study with a cross sectional design. The population in this study were independent practice midwives who were in the Padangsidimpuan, the sample in this study amounted to 102 respondents. The technique of collecting data used questionnaires and data analysis used univariate, bivariate and multivariate analysis with logistic regression analysis. Based on bivariate analysis showed that there was a relationship between facilities, knowledge and attitudes of independent midwives with compliance with the standards of antenatal care services with a value of p <0.05. The results of the study with multivariate logistic regression analysis showed that the factors associated with the compliance of independent midwives in carrying out antenatal care service standards were attitudes with values (p = 0.026).

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