Prevalence of a Hemoglobin A1c Less Than 7.0%, of a Blood Pressure Less Than 130/80 mm Hg, and of a Serum Low-Density Lipoprotein Cholesterol Less Than 100 mg/dL in Older Patients With Diabetes Mellitus in an Academic Nursing Home

Assessment of Glycemic Control in Nursing Home Residents with Diabetes

OBJECTIVE

To describe glycemic control in nursing home residents with diabetes and to evaluate the relevance of HbA1c in the detection of hypoglycemia risk.

DESIGN AND METHODS

Diabetes treatment, geriatric assessment, blood capillary glucose (n= 24,682), and HbA1c were collected from medical charts of 236 southern France nursing home residents during a 4-month period. Glycemic control was divided into four categories: tight, fair, and moderate or severe chronic hyperglycemia using the High Blood Glucose Index or the analysis of blood glucose frequency distribution. Hypoglycemia episodes were identified by medical or biological records.

RESULTS

Glucose control was tight in 59.3 % and fair in 19.1 % of the residents. Chronic exposure to hyperglycemia was observed in 21.6 % of the residents (severe in 9.7 % and moderate in 11.9 %). Hypoglycemia was noticed in 42/236 (17.8%), in all categories of glycemic control. Relative hypoglycemia risk was significantly (P = 0.0095) higher in residents with moderate chronic hyperglycemia compared with those with tight control. The majority of residents with hypoglycemia (39/42) or chronic hyperglycemia (45/51) were insulin-treated. The relative risk of hypoglycemia was not significantly associated with HbA1c values.

CONCLUSION

Hypoglycemia risk in nursing home residents is observed in all categories of glycemic control. In tight control, the potency of antidiabetic treatment should be reduced. In chronic hyperglycemia, diet and treatment should be reevaluated in order to reduce glucose variability. HbA1c is not sufficient for hypoglycemia risk detection; capillary blood glucose monitoring is warranted for nursing homes residents with diabetes.

Comparison of HbA1c, blood pressure, and cholesterol (ABC) control in type 2 diabetes attending general medical clinics and specialist diabetes clinics in Thailand

AIMS

The aim of this study was to compare the achievement of clinical targets for patients with type 2 diabetes mellitus (T2DM) in general medical clinics (GMCs) and specialist diabetes clinics (SDCs) for different hospital types (regional, provincial and community) in Thailand.

METHODS

We used the medical records of patients (n=26,860) with T2DM from 595 hospitals (26 regional, 70 provincial and 499 community) across all 77 provinces in Thailand. Generalized linear mixed models were used to conduct multi-level modeling to evaluate the achievement of individual outcomes (A - glycated hemoglobin (HbA1c) <7.0% (53 mmol/mol), B - Blood Pressure (BP) <140/80 mmHg and C - LDL-Cholesterol <100mg/dL) and aggregated outcomes (AllABC - achieved all three of the targets, AnyABC - achieved at least one target, ABCcount - the number of targets achieved: 0, 1, 2 or 3).

RESULTS

Neither clinic types (SDCs or GMCs) were consistency superior across all hospital types. For regional hospitals, SDCs were associated with higher odds of achieving BP, AnyABC, and ABCcount (OR=1.55, 95%CI: 1.25-1.92, p<0.001; OR=1.35, 95%CI: 1.02-1.79; p=0.04; RR=1.10, 95%CI: 1.01-1.20, p=0.03, respectively). For provincial hospitals, SDCs exhibited higher achievement of BP and LDL-C (OR=1.52, 95%CI: 1.23-1.87, p<0.001; OR=1.28, 95%CI: 1.04-1.58, p=0.02, respectively). For community hospitals, however GMCs demonstrated higher achievement of BP and AnyABC (OR=0.81, 95%CI: 0.67-0.98, p=0.03; OR=0.74, 95%CI: 0.56-0.97, p=0.03, respectively).

CONCLUSIONS

In larger (regional and provincial) hospitals, SDCs outperform GMCs in several (but not all) clinical targets. In contrast, in community hospital, where most patients with T2DM are serviced, GMCs were shown to have superior performance.

Implementing diabetes care guidelines in long term care

OBJECTIVE

The objectives of this article are to (1) describe the outcomes of a diabetes care program in a long term care facility dedicated to diabetes excellence and (2) compare the relevant outcome variables of research published between 2007 and 2012 with the results found in the studied facility.

DESIGN

Three-year retrospective chart review of the facility's residents with comparison to extant literature.

PARTICIPANTS

A total of 224 resident charts within the studied facility were reviewed. Residents with a diagnosis of diabetes, or who were on diabetes medications, or whose fasting blood sugars exceeded 126 mg/dL on 2 occasions, and whose length of stay exceeded 6 months, were tracked for adherence to diabetes guidelines (n = 48). Participant outcomes from relevant studies in the literature were compared to these 48 participants' outcomes.

INTERVENTION

All levels of staff in the studied facility were educated in general diabetes care. A nurse practitioner was contracted to provide medical care for all diabetic residents (with primary care provider approval). A scorecard for adherence to diabetes guidelines was completed by the nurse practitioner. Over a 3-year period following the education program and scorecard implementation, a chart review of all residents was completed by a consulting diabetes educator/nurse practitioner/nurse faculty member and 6 undergraduate nursing students.

RESULTS

In general, the nursing home in the present study compared favorably with other relevant studies, demonstrating lower A1C levels, tracking blood sugars more regularly, monitoring blood pressure and lipids more regularly, having a greater percentage of patients on lipid-lowering medications among those in need, more appropriate use of sliding scale insulin, greater adherence to recommendations regarding diet, and had more patients who fit criteria on preventive anticoagulation.

DISCUSSION

The results for the studied facility were very similar, often better, when compared with the most current nursing home literature. Areas of weakness provided focused strategic planning for the facility. Regrettably, the research is sparse, and evidence supporting guideline adherence data is often missing, making data comparison difficult. This model of care, linking health care agencies with academia, could offer a supportive and affordable method for identifying responses to evidence-based care guidelines.

CONCLUSION

This narrative review points to the need for continued work in the application of evidence-based guidelines in long term care, specifically in the area of interventions that must be adjusted to the needs of the nursing home population, with increased awareness in maintaining or improving quality of life.

Tracking outpatient continuity and chronic disease indicators-a novel use of the new innovations clinic module

The Accreditation Council for Graduate Medical Education common program requirements for Practice-based Learning and Improvement in Internal Medicine specify that trainees must "systematically analyze [his/her] practice using quality improvement methods, and implement changes with the goal of practice improvement" and that the training program "must include use of performance data" in the assessment of the resident's practice. Before implementation of an electronic health record at our academic medical center, we found meeting these requirements to be challenging. This prompted us to set up the New Innovations (New Innovations, Inc, Uniontown, OH) Software Suite's Patient Continuity module to permit analysis and tracking of both quality of care indicators and patient continuity. By using the system, our residents were better able to monitor their patient panel sizes and composition and to correlate their practices with quality of care data. Residency programs, which currently utilize New Innovations software but lack an electronic health record, may find the continuity clinic module useful for engaging their house staff in structured practice improvement initiatives and in satisfying the Accreditation Council for Graduate Medical Education's common program requirements for practice-based learning.

Assessment of glycemic control among diabetic residents in nursing homes

We assessed hemoglobin A1c (HbA1c) among 88 diabetic residents in three Italian nursing homes, and compared figures with current guidelines and reports in the literature. Mean HbA1c was 6.5%; this paper from Southern Europe confirms recent findings in nursing homes on HbA1c values well below recommended targets.

[Prevalence of diabetes mellitus in geriatric patients in nursing homes of Cádiz. Diagerca study]

OBJECTIVE

To determine prevalence and clinical characteristics of elderly diabetic patients in nursing homes.

MATERIAL AND METHOD

Observational and multicentre study in 14 nursing homes in Cádiz (Spain).

STUDY VARIABLES

age, sex, prevalence of diabetes, duration of diabetes, complications, macrovascular complications, retinopathy, nephropathy, and neuropathy. Metabolic control: frequency of baseline blood glucose and HbA1c determinations. Metabolic complications suffered.

TREATMENT

oral and type of antidiabetics, insulinisation. Diabetes education. Functional and mental assessment using Barthel index and MMT. Data was analysed using SPSS v17.0.

RESULTS

A total of 1952 elderly institutionalised patients were studied, with a diabetes prevalence of 26.44%. The study included 312 patients with a mean age of 79.7 years, of whom 57.4% were women, and 66.9% knew of their diagnosis of diabetes for over 10 years. Vascular events were suffered by 55.1%, with the most common being ischaemic stroke (55.2%), followed by myocardial infarction (18%) and 14.5% with peripheral arterial disease. There were 29.6% with retinopathy, 21.3% diabetic nephropathy, and 25.6% suffering from distal symmetric polyneuropathy. HbA1c analysis was performed in 90.1% of patients, with 50% levels between 7 and 9%, with a six-monthly assessment rate of 63.4%. Metabolic complications: diabetic ketoacidosis 7.1%, hyperosmolar syndrome 2.9%, and 15.7% symptomatic hypoglycaemia. Oral hypoglycaemic agents were being taken by 66% of patients, with the most frequently used being metformin (55.3%) followed by gliclazide and repaglinide (10.2%, 3.4%, respectively). 50.2% were insulinised. 45.6% functional dependence. Barthel Index average of 48.4 points, with 46.1% diagnosed with dementia, moderate state, 36.7%.

CONCLUSIONS

Diabetic prevalence in nursing homes is high, and institutionalised patients are elderly, long-standing diabetics, with both macro- and microvascular complications, and have a significant level of mental and functional disabilities.

Diabetes, comorbidities and increased long-term mortality in older patients admitted for geriatric inpatient care

AIMS

To study the specific impact of diabetes on long-term mortality in very old subjects with multiple comorbidities and functional disabilities.

METHODS

The prevalence of vascular disorders, global comorbidity load (cumulative illness rating scale [CIRS]) and functional disabilities (activities of daily living [ADL] and Lawton's instrumental ADL [IADL] scores) were determined according to diabetes status in a cohort of 444 patients (mean age 85.3±6.7 years; 74.0% women) admitted to our geriatric service. Also, the specific impact of diabetes on 4-year mortality was analyzed using Cox proportional-hazards models.

RESULTS

Diabetic patients had higher BMI scores (27.1±4.9 vs. 23.4±4.7 kg/m(2) in controls; P<0.001), and higher prevalences of hypertension (81.9% vs. 65.1%, respectively; P=0.003) and ischaemic heart disease (33.7% vs. 22.2%, respectively; P=0.033), but not of stroke and renal insufficiency. They also had more comorbidities (CIRS score excluding diabetes: 15.1±4.5 vs. 13.8±4.8, respectively; P=0.016) and functional disabilities. Diabetes was associated with mortality (HR: 1.42, 95% CI: 1.02-1.99; P=0.041) after adjusting for age, gender and BMI, and this persisted after adjusting for individual vascular comorbidities, but disappeared after adjusting for CIRS, ADL or IADL scores.

CONCLUSION

Diabetes was associated with 4-year mortality after adjusting for the inverse relationship between mortality and BMI. This association was better accounted for by the global comorbidity load and functional disabilities than by the individual vascular comorbidities. These findings suggest that the active management of all--rather than selected--comorbidities is the key to improving the prognosis for older diabetic patients.

Prevalence of diabetes and the burden of comorbid conditions among elderly nursing home residents

BACKGROUND

Although the reported prevalence of diabetes in nursing home residents varies greatly among studies, there remains a common trend: increasing prevalence. Diabetes in the elderly is often associated with the presence of multiple comorbid conditions. However, limited data exist regarding the characteristics, symptom severity, disease management, and outcomes of care for residents of nursing homes with diabetes.

OBJECTIVE

Our aim was to estimate the prevalence of diabetes in a national sample of skilled nursing facility (SNF) residents over a 12-month period and to examine differences in the burden of comorbidities between elderly residents with and without diabetes, including prevalence and severity of comorbidities, pharmacotherapy associated with these conditions, and cost.

METHODS

This was a multicenter, observational, medical utilization evaluation study in 23 geographically representative SNFs in the United States. Comorbidities, cognition, physical activity, utilization of health services, and medications were obtained from medical chart audits, minimum data set records, and prescription claims files. Chart abstraction was performed between June 2006 and March 2007. Residents eligible for inclusion in the prevalence analysis were aged ≥65 years, did not receive hospice care, and were not in a persistent vegetative condition.

RESULTS

A total of 2317 residents met the inclusion criteria and were included in the prevalence analysis; 761 (32.8%) had diabetes. Residents with a full minimum data set assessment within 12 months before chart abstraction (n = 2095) were included in the comorbid burden analysis. Compared with those without diabetes, a greater proportion of residents with diabetes were younger, male, Hispanic or African American, and were overweight or obese. Residents with diabetes had a greater comorbidity burden (Hierarchical Condition Category, 1.90 vs 1.58), including more prescribed medications for certain common comorbid conditions (including angiotensin-converting enzyme inhibitors/angiotensin II receptor blockers [46% vs 24%], diuretics [44% vs 34%], statins [40% vs 18%], or antiplatelets/antithrombotics [43% vs 37%]), and experienced more hospitalizations (37% vs 18% at 6 months) than residents without diabetes.

CONCLUSION

Nearly one third of elderly SNF residents had diabetes. These patients, compared with SNF residents without diabetes, had a greater comorbid burden, were prescribed more medications to treat these conditions, and had more hospitalizations.

Aging male

There are several special issues that confront the physician when dealing with the older male. Physicians need to pay attention to these issues and recognize their importance to their patients. This article briefly reviews these unique challenges.

Hypertension in the elderly

Many elderly patients have hypertension, although it is more likely to go untreated in this population. Treatment goals are the same in elderly patients as in younger patients, but elderly patients are more likely to have multiple comorbidities, which must be factored into treatment plans. This article highlights the unique challenges in treating this population.

Diabetes and aging: epidemiologic overview

Diabetes mellitus has long been recognized as a cause of accelerated aging. As the understanding of the metabolic syndrome has evolved, it has been recognized that the interaction of a panoply of factors in the presence of insulin resistance results in accelerated aging. This article explores the increasing prevalence of diabetes mellitus with aging and how insulin resistance leads to accelerated frailty, disability, hospitalization, institutionalization, and death.