Dataset Information

Prevalence and Risk Factors of Chronic Kidney Disease among Type 2 Diabetes Patients: A Cross-Sectional Study in Primary Care Practice.

ABSTRACT: This cross-sectional study aimed to investigate the prevalence and risk factors of chronic kidney disease (CKD) among 1,096 primary care type 2 diabetes (T2DM) patients in northern Thailand between October 2016 and September 2017. CKD was defined as estimated glomerular rate filtration values of <60?mL/min/1.73 m². Prevalence with confidence intervals across CKD advanced stages 3-5 were estimated. Factors associated with CKD were evaluated by multivariate logistic regression. The overall prevalence of CKD was 24.4% (21.9-27.0), with severities of 11.4% (9.7-13.4), 6.8% (5.5-8.5), 4.6% (3.5-6.0), and 1.6% (1.0-2.5) for stages 3?A, 3B, 4, and 5, respectively. Regarding age and glycaemic control, individuals older than 75 years and those with a haemoglobin A1c???8% had the highest prevalence of 61.3% (51.7-70.1) and 38.6% (34.3-43.2), respectively. The multivariable logistic regression model explained 87.3% of the probability of CKD. The six independent significant risk factors of CKD were older age, retinopathy, albuminuria, haemoglobin A1c???7%, anaemia, and uric acid>7.5?mg/dL. A relatively high prevalence of CKD, especially in older patients and those with diabetic complications-related to poor glycaemic control, was encountered in this primary care practice. Early identification may help to target optimise care and prevention programs for CKD among T2DM patients.

SUBMITTER: Jitraknatee J

PROVIDER: S-EPMC7148316 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Prevalence and Risk Factors of Chronic Kidney Disease among Type 2 Diabetes Patients: A Cross-Sectional Study in Primary Care Practice.

Jitraknatee Janjira J Ruengorn Chidchanok C Nochaiwong Surapon S

Scientific reports 20200410 1

This cross-sectional study aimed to investigate the prevalence and risk factors of chronic kidney disease (CKD) among 1,096 primary care type 2 diabetes (T2DM) patients in northern Thailand between October 2016 and September 2017. CKD was defined as estimated glomerular rate filtration values of <60 mL/min/1.73 m<sup>2</sup>. Prevalence with confidence intervals across CKD advanced stages 3-5 were estimated. Factors associated with CKD were evaluated by multivariate logistic regression. The over ...[more]

PMID: 32277150

Similar Datasets

Project description:BACKGROUND:Due to the perennial shortage of diabetes specialists, primary care physicians (PCPs) constitute the largest diabetes care manpower in Nigeria. However, the competence of the PCPs to undertake this task is not known. This study was aimed at evaluating diabetes care knowledge and practice among PCPs in Southeastern part of Nigeria. METHODS:This was a cross-sectional study among PCPs in Southeastern Nigeria. Diabetes care knowledge and practices were evaluated using a structured self administered questionnaire. RESULTS:A total of 64 PCPs with mean duration of practice of 17.3 ± 11.6 years completed the study. 65.6% were in private practice and 50% attended to between 11 and 20 persons living with diabetes (PLWD) weekly. Majority (78.1%) had not participated in any diabetes training since graduation from medical school and 79.9% were not aware of any diabetes clinical practice guideline. The PCPs had adequate knowledge of classical symptoms of diabetes. However, they had very poor knowledge of glycemic thresholds for diagnosis of diabetes which was 26.6, 45.3 and 10.9% for fasting blood glucose (FBG), random blood glucose (RBG) and glycated hemoglobin (A1c) respectively. We observed serious gaps in diabetes care practice such that only 18.8% of the respondents performed foot examination on newly diagnosed PLWD while 28.1 and 39.1% provided counseling on foot care and hypoglycemia respectively. Annual comprehensive foot examination was conducted by only 12.5%, none of the physicians ever screened for microalbuminuria and only 21.9% conducted annual dilated eye examination. Majority (57.8%) rated their confidence in prescribing insulin as "low" and only 23.4% had ever prescribed outpatient insulin for type 2 diabetes in their practice. Glycemic monitoring was largely limited to FBG and only 17.2% monitored A1c. Duration of practice more than 10 years (OR 10.1; P 0.034) and non participation in diabetes training (OR 6.5; P 0.027) were significant predictors of poor diabetes care knowledge. CONCLUSION:Diabetes care knowledge and practice were poor among PCPs in Southeast Nigeria. There is an urgent need to improve their capacity to provide diabetes care through periodic training.

Project description:BACKGROUND:Little is known as to whether primary care teams' perceptions of how well they have implemented the Chronic Care Model (CCM) corresponds with their patients' own experience of chronic illness care. We examined the extent to which practice members' perceptions of how well they organized to deliver care consistent with the CCM were associated with their patients' perceptions of the chronic illness care they have received. METHODS:Analysis of baseline measures from a cluster randomized controlled trial testing a practice facilitation intervention to implement the CCM in small, community-based primary care practices. All practice "members" (i.e., physician providers, non-physician providers, and staff) completed the Assessment of Chronic Illness Care (ACIC) survey and adult patients with 1 or more chronic illnesses completed the Patient Assessment of Chronic Illness Care (PACIC) questionnaire. RESULTS:Two sets of hierarchical linear regression models accounting for nesting of practice members (N = 283) and patients (N = 1,769) within 39 practices assessed the association between practice member perspectives of CCM implementation (ACIC scores) and patients' perspectives of CCM (PACIC). ACIC summary score was not significantly associated with PACIC summary score or most of PACIC subscale scores, but four of the ACIC subscales [Self-management Support (p < 0.05); Community Linkages (p < 0.02), Delivery System Design (p < 0.02), and Organizational Support (p < 0.02)] were consistently associated with PACIC summary score and the majority of PACIC subscale scores after controlling for patient characteristics. The magnitude of the coefficients, however, indicates that the level of association is weak. CONCLUSIONS:The ACIC and PACIC scales appear to provide complementary and relatively unique assessments of how well clinical services are aligned with the CCM. Our findings underscore the importance of assessing both patient and practice member perspectives when evaluating quality of chronic illness care. TRIAL REGISTRATION:NCT00482768.

Project description:ObjectivesThis study aimed to determine the prevalence of anaemia among patients with type 2 diabetes mellitus (T2DM) and chronic kidney disease (CKD) at primary care settings and its associated factors.Design, setting and participantsThis cross-sectional study involved 808 adult patients with T2DM and CKD who were recruited via systematic sampling from 20 public primary care clinics in Peninsular Malaysia. Their sociodemographic, clinical and biomedical profiles were collected through interviews, examination of medical records and blood testing.ResultsThe prevalence of anaemia was 31.7% (256/808). The anaemia was mainly mild (61.5%) and normocytic normochromic (58.7%). About 88.7% of the patients with anaemia were not known to have anaemia prior to the study. Among 36 patients with documented history of anaemia, 80.6% were still anaemic, and only a half received iron therapy. Multivariate regression analysis showed that women (adjusted odd ratio (AOR): 1.57, 95% CI: 1.12 to 2.21, p=0.009) and those with older age (AOR: 1.04, 95% CI: 1.01 to 1.06, p<0.001), CKD stage 3a (AOR: 2.47; 95% CI: 1.25 to 4.87, p=0.009), CKD stage 3b (AOR: 4.36; 95% CI: 2.14 to 8.85, p<0.001), CKD stage 4 (AOR: 10.12; 95% CI: 4.36 to 23.47, p<0.001), CKD stage 5 (AOR: 10.80; 95% CI: 3.32 to 35.11, p<0.001) and foot complication (AOR 3.12, 95% CI: 1.51 to 6.46, p=0.002) were more likely to have anaemia. Having higher body mass index (AOR 0.95, 95% CI: 0.92 to 0.99, p=0.012) and higher diastolic blood pressure (AOR 0.97, 95% CI: 0.95 to 0.99, p<0.001) were associated with lower odds to have anaemia.ConclusionAnaemia among patients with T2DM and CKD in primary care was common, and the majority was unrecognised. Inadequate treatment of anaemia was also prevalent. Therefore, screening of anaemia should be incorporated into the routine assessment of diabetic complications particularly for those with significant associated factors. It is hoped that such strategy could lead to early treatment and hence improve their overall care.Trial registration numberNMRR-15-660-24324.

Project description:IntroductionThe intricate relationship between obesity and chronic kidney disease (CKD) progression underscores a significant public health challenge. Obesity is strongly linked to the onset of several health conditions, including arterial hypertension (AHTN), metabolic syndrome, diabetes, dyslipidemia, and hyperuricemia. Understanding the connection between CKD and obesity is crucial for addressing their complex interplay in public health strategies.ObjectiveThis research aimed to determine the prevalence of CKD in a population with high obesity rates and evaluate the associated metabolic risk factors.Material and methodsIn this cross-sectional study conducted from January 2017 to December 2019 we included 3,901 participants of both sexes aged ≥20 years who were selected from primary healthcare medical units of the Mexican Social Security Institute (IMSS) in Michoacan, Mexico. We measured the participants' weight, height, systolic and diastolic blood pressure, glucose, creatinine, total cholesterol, triglycerides, HDL-c, LDL-c, and uric acid. We estimated the glomerular filtration rate using the Collaborative Chronic Kidney Disease Epidemiology (CKD-EPI) equation.ResultsAmong the population studied, 50.6% were women and 49.4% were men, with a mean age of 49 years (range: 23-90). The prevalence of CKD was 21.9%. Factors significantly associated with an increased risk of CKD included age ≥60 years (OR = 11.70, 95% CI [9.83-15.93]), overweight (OR = 4.19, 95% CI [2.88-6.11]), obesity (OR = 13.31, 95% CI [11.12-15.93]), abdominal obesity (OR = 9.25, 95% CI [7.13-11.99]), AHTN (OR = 20.63, 95% CI [17.02-25.02]), impaired fasting glucose (IFG) (OR = 2.73, 95% CI [2.31-3.23]), type 2 diabetes (T2D) (OR = 14.30, 95% CI [11.14-18.37]), total cholesterol (TC) ≥200 mg/dL (OR = 6.04, 95% CI [5.11-7.14]), triglycerides (TG) ≥150 mg/dL (OR = 5.63, 95% CI 4.76-6.66), HDL-c <40 mg/dL (OR = 4.458, 95% CI [3.74-5.31]), LDL-c ≥130 mg/dL (OR = 6.06, 95% CI [5.12-7.18]), and serum uric acid levels ≥6 mg/dL in women and ≥7 mg/dL in men (OR = 8.18, 95% CI [6.92-9.68]), (p < 0.0001). These factors independently contribute to the development of CKD.ConclusionsThis study underscores the intricate relationship between obesity and CKD, revealing a high prevalence of CKD. Obesity, including overweight, abdominal obesity, AHTN, IFG, T2D, dyslipidemia, and hyperuricemia emerged as significant metabolic risk factors for CKD. Early identification of these risk factors is crucial for effective intervention strategies. Public health policies should integrate both pharmacological and non-pharmacological approaches to address obesity-related conditions and prevent kidney damage directly.

Project description:BACKGROUND: Antidepressant prescribing continues to rise. Increased long-term prescribing and higher doses are contributing to current growth; however, patient factors associated with the use of higher doses remain unknown. This study's aim was to investigate patient factors associated with selective serotonin re-uptake inhibitor (SSRI) prescribed daily dose for depression treatment in general practice. METHODS: A stratified sample of low to high prescribing practices were selected. Routine individual patient-level data were extracted one practice at a time: September 2009 to January 2011. Patients included were ?18 years, and prescribed an SSRI for depression. Logistic regression analysis was undertaken to assess individual predictor variables on SSRI daily dose by standard therapeutic dose versus higher dose, as SSRIs demonstrate flat dose response curves for depression treatment. Predictor variables included: age, gender, deprivation, co-morbidity, smoking status, being prescribed the same SSRI for ?2 years, and patients' general practice. For a subgroup of patients a second sub-group analysis included long-term benzodiazepine and/or z-hypnotic (B&Z) as a predictor variable. RESULTS: Inter-practice SSRI prescribing varied significantly; practice point prevalence ranged from 2.5% (94/3697) to 11.9% (359/3007) of the practice population ?18 years old; median 7.3% (250/3421) (?2 = 2277.2, df = 10, p < 0.001). Overall point prevalence was 6.3% (3518/52575), with 5.8% (3066/52575) prescribed SSRIs for depression of whom 84.7% (2596/3066) had data for regression analysis. Higher SSRI doses were significantly associated with, in descending order of magnitude, individual practice attended, being prescribed the same SSRI for ?2 years (Odds Ratio (OR) 1.80, 95% CI 1.49 to 2.17, p < 0.001) and living in a more deprived area (OR 1.55, 95% CI 1.11 to 2.16, p = 0.009). Higher SSRI doses in the B&Z subgroup were significantly associated with individual practice attended, being prescribed a long-term B&Z (OR 2.05 95% CI 1.47 to 2.86, p < 0.001) and being prescribed the same SSRI for ?2 years (OR 1.94, 95% CI 1.53 to 2.47, p < 0.001). CONCLUSION: Higher SSRI doses for depression were associated with practice attended and being prescribed the same antidepressant for ?2 years. As long-term antidepressant use increases, the use of higher doses may further contribute to prescribing growth.

Project description:BackgroundAnaemia is a known risk factor for cardiovascular disease and treating anaemia in chronic kidney disease (CKD) may improve outcomes. However, little is known about the scope to improve primary care management of anaemia in CKD.MethodsAn observational study (N = 1,099,292) with a nationally representative sample using anonymised routine primary care data from 127 Quality Improvement in CKD trial practices (ISRCTN5631023731). We explored variables associated with anaemia in CKD: eGFR, haemoglobin (Hb), mean corpuscular volume (MCV), iron status, cardiovascular comorbidities, and use of therapy which associated with gastrointestinal bleeding, oral iron and deprivation score. We developed a linear regression model to identify variables amenable to improved primary care management.ResultsThe prevalence of Stage 3-5 CKD was 6.76%. Hb was lower in CKD (13.2 g/dl) than without (13.7 g/dl). 22.2% of people with CKD had World Health Organization defined anaemia; 8.6% had Hb ? 11 g/dl; 3% Hb ? 10 g/dl; and 1% Hb ? 9 g/dl. Normocytic anaemia was present in 80.5% with Hb ? 11; 72.7% with Hb ? 10 g/dl; and 67.6% with Hb ? 9 g/dl; microcytic anaemia in 13.4% with Hb ? 11 g/dl; 20.8% with Hb ? 10 g/dl; and 24.9% where Hb ? 9 g/dl. 82.7% of people with microcytic and 58.8% with normocytic anaemia (Hb ? 11 g/dl) had a low ferritin (<100 ug/mL). Hypertension (67.2% vs. 54%) and diabetes (30.7% vs. 15.4%) were more prevalent in CKD and anaemia; 61% had been prescribed aspirin; 73% non-steroidal anti-inflammatory drugs (NSAIDs); 14.1% warfarin 12.4% clopidogrel; and 53.1% aspirin and NSAID. 56.3% of people with CKD and anaemia had been prescribed oral iron. The main limitations of the study are that routine data are inevitably incomplete and definitions of anaemia have not been standardised.ConclusionsMedication review is needed in people with CKD and anaemia prior to considering erythropoietin or parenteral iron. Iron stores may be depleted in over >60% of people with normocytic anaemia. Prescribing oral iron has not corrected anaemia.

Dataset Information

Prevalence and Risk Factors of Chronic Kidney Disease among Type 2 Diabetes Patients: A Cross-Sectional Study in Primary Care Practice.

Publications

Prevalence and Risk Factors of Chronic Kidney Disease among Type 2 Diabetes Patients: A Cross-Sectional Study in Primary Care Practice.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets