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Query: UMLS:C0011849 (diabetes)
 277,896 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

The projected numbers of patients with diabetes mellitus (ICD 9th; 250) 15 years from now were estimated. First, the numbers of patients with the disease in 1984, 1987, 1990, and 1993 were calculated by age and sex using data from the National Patient Surveys conducted by the Ministry of Health and Welfare. Then, population prevalence for calendar years 1996, 1999, 2002, 2005, and 2008 were estimated based on the past data using linear regression models. Finally, the total numbers of patients were calculated from the estimated prevalence multiplied by the estimated population figure of the national government. The prevalence and the numbers of patients are estimated to increase, and the numbers will be 1.7 million among males and 1.5 million among females in 2008. Besides, because of the increases of both the aged population and the disease prevalence, the proportion of patients aged 65 years or over will become as large as 40% of total male patients and 60% of females.
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PMID:[Estimation of the future numbers of patients with diabetes mellitus in Japan based on the results of national patient surveys]. 952 64

The objective of this study was to identify the direct cost and length of hospitalization of diabetes-related lower extremity amputations among Hispanics, African Americans, non-Hispanic whites, and Asians. The authors used a database from the office of Statewide Planning and Development in California that identified all hospitalizations for lower extremity amputations in the state in 1991. Amputation level was defined by the ICD-9-CM codes 84.11-84.18. The total hospital charges for diabetes-related lower extremity amputations for the state of California in 1991 was $141 million. The mean hospital charge (HC) per patient with all ethnic groups combined was $27,930; and the mean length of stay (LOS) was 15.9 days. African Americans had significantly higher mean charges ($32,383) and longer stays (17.3 days) compared to all other ethnic groups (p < .05). Toe-level amputations had lower HC (p < .05) and LOS (p < .01) than other amputation levels for all race groups. One-quarter of the population received multiple amputations during their hospital stay. These patients incurred significantly higher hospital charges ($44,731) and stayed in the hospital longer (23.4 days) than those receiving only a single amputation. There was a considerable variation in the HC and LOS among ethnic groups by level of amputation. The direct charges reported in this study suggest considerably higher overall direct costs than have been previously reported in the medical literature. The greater burden of disease experienced by African Americans is probably related to their higher amputation cost and longer hospitalization.
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PMID:Cost of diabetes-related amputations in minorities. 963 41

A newly appointed diabetes clinical nurse specialist/nurse practitioner at Yale-New Haven Hospital was charged with redesigning the diabetes nursing role. For help, she turned to a special information management service within the Nursing and Operational Finance departments. This article describes the project that used an integrated financial and clinical information system to locate and characterize adult patients with diabetes mellitus. Patients with principal and secondary diagnoses of diabetes were identified by ICD-9-CM codes and tracked across inpatient and outpatient services. These data were used to identify opportunities for case management and for managing the costs related to diabetes care. The data also supported proposals made by the clinical nurse specialist/nurse practitioner to management to allocate clinical resources for the care of patients with diabetes. When the clinical wisdom of advanced practice nurses is joined with nursing information management expertise and technology, opportunities for understanding and advancing nursing's work are revealed.
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PMID:Using hospital data systems to find target populations: new tools for clinical nurse specialists. 970 15

Dysthymia and cyclothymia are chronic affective disorders with a minimum duration of 2 years. Both ICD-10 and DSM-IV define cyclothymia as a bipolar disorder with low intensity. This disorder is rare and little research has been done on it. Its economic and social consequences vary from case to case. In contrast dysthymias, chronic depressive disorders, are frequent (prevalence 3-6%) and cause considerable distress. They have serious economic and social consequences, which are comparable to those caused by other chronic conditions such as arthritis or diabetes mellitus. Despite widely held conviction a majority of dysthymias improves under consequent pharmaco- and psychotherapy.
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PMID:[Dysthymia and cyclothymia--serious consequences of rarely diagnosed disorders]. 988 92

To investigate the relation between diabetes mellitus and the risk of renal cell cancer we carried out a population-based retrospective cohort study. Patients identified in the Swedish Inpatient Register who were discharged from hospitals with a diagnosis of diabetes mellitus between 1965 and 1983 formed a cohort of 153852 patients (80005 women and 73847 men). The cohort members were followed up to 1989 by record linkage to three nation-wide registries. Standardized incidence ratios (SIRs) and standardized mortality ratios (SMRs) were computed using age-specific sex-specific and period-specific incidence and mortality rates derived from the entire Swedish population. After exclusion of the first year of observation, a total of 267 incidences of renal cell cancer (ICD-7:180.0) occurred in diabetic patients compared with the 182.4 that had been expected. Increased risks were observed in both women (SIR = 1.7, 95% confidence interval, CI = 1.4-2.0) and men (SIR = 1.3; 95 % CI = 1.1-1.6) throughout the duration of follow-up (1-25 years). A higher risk was seen for kidney cancer (ICD-7:180) mortality (SMR = 1.9; 95% CI = 1.7-2.2, women; SMR 1.7, 95% CI = 1.4-1.9, men). In comparison with the general population, patients with diabetes mellitus have an increased risk of renal cell cancer.
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PMID:The role of diabetes mellitus in the aetiology of renal cell cancer. 1002 88

The aims of this study were to assess the impact of diabetes and associated variables (fasting plasma glucose, blood pressure, antidiabetic treatment, body mass index) on general and cause-specific mortality in an Italian population-based cohort with Type II (non-insulin-dependent) diabetes mellitus, comprising mainly elderly patients. The patients (n = 1967) who had Type II diabetes were identified in 1988 with an 80% estimated completeness of ascertainment. In 1995, a mortality follow-up (98% completeness) of the cohort was done amounting to a total of 11153 person-years. Observed and expected number of deaths were 577 and 428.7, respectively, giving a standardized mortality ratio (SMR) of 1.35 (95% CI 1.24-1.46). The most common underlying causes of death were malignant neoplasm, ischaemic heart disease and cerebrovascular diseases, which accounted for 18%, 17.8% and 17.5% of deaths, respectively. Cardiovascular disease as a whole (international classification of disease ICD-9 390-459) accounted for 260 of 577 deaths (SMR 1.21, 95% CI 1.07-1.36). In internal analysis, the most important predictors of general mortality were insulin-treatment (relative risk [RR] 1.72, 95% CI 1.19-2.49) and a fasting plasma glucose greater than 8.89 mmol/l ([RR] 1.29, 95 % CI 1.04-1.60), whereas the most important predictors of cardiovascular diseases were insulin-treatment and hypertension. In conclusion, this population-based study showed: 1) slight mortality excess of 35% in Type II diabetes being associated with 2) a 30% increased mortality in subjects with baseline fasting glucose greater than 8.89 mmol/l and 3) a 40% increased risk of death from cardiovascular diseases in hypertensive patients.
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PMID:Impact of glycaemic control, hypertension and insulin treatment on general and cause-specific mortality: an Italian population-based cohort of type II (non-insulin-dependent) diabetes mellitus. 1009 81

The objective of this study was to develop, and subsequently test, a Bayesian discrimination model for the purpose of identifying both the personal and the healthcare system characteristics predictive of hospitalisation for the treatment of patients with diabetes mellitus or commonly observed cormorbidities associated with the disease. First, a Bayesian classification framework was proposed. The model was then tested by using a logit regression technique in order to estimate the probability of one or more hospitalisation events among patients with diabetes. The study used claims data extracted from the Hawaii Medical Service Association (HMSA) Private Business Claims (PBS) files for the 1995 calendar year. Patients under 65 years were identified by paid claims with ICD-9-CM diagnosis codes of 250.xx which gave a sample size of 6841 patients. Age, gender, various pharmacotherapy variables, presence of hypertension, hyperlipidaemia, congestive heart failure, multiple cardiovascular diseases, any combination of commonly observed comorbidities, dialysis services and annual eye examination are highly predictive of 1 or more hospitalisation events. The model shows a predictive power of almost 90%. This study found that multivariate discriminant analysis using a logit regression model successfully identifies: (i) important explanatory variables predictive of hospitalisation; (ii) assigns patients into 1 of 2 mutually exclusive classes; and (iii) offers a benchmark for a comprehensive disease management strategy for patients with more complicated diabetes.
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PMID:Predicting hospitalisation of patients with diabetes mellitus. An application of the Bayesian discriminant analysis. 1018 Jul 51

Biases can distort, limit or inhibit the value of mortality data as an epidemiological re source. From 9500 deaths occurring in Naples (Italy during 1994, a random sample of 372 death certificates reporting ill-defined causes and multiple causes of death was extracted. The code for the underlying cause on the death certificate (assigned code) was compared with the cause reattributed with the aid of interview of the certifying physician or clinical records (modified code). The aim was to investigate the extent of misclassification of 'underlying cause' in deaths attributed to ill-defined and/or multiple causes and the shortcomings in the ICD-IX. Ill-defined underlying causes of death (7.0% of death certificates) were cardiovascular diseases, tumours with no specified site or nature, symptoms, signs, ill-defined conditions and senility. There was disagreement between the initially assigned code and the modified code in 53.8% of ill-defined underlying causes; discordance was high for the certificates filled in by the family physician. Multiple causes of death were observed in 23.6% of certificates; of these 59.2% concerned subjects aged 75 years and over at death. Diabetes was always listed in association with other pathologies but neoplasms and traumas were generally listed alone. Disagreement between codes occurred in 48 (54.5%) certificates indicating multiple causes. In 10 of them, death was established as due to a concurrence of causes. As regards ill-defined causes of death, the authors concluded that specific training on certifying procedures would be insufficient on their own; the physician should be made aware that certification is a fundamental requirement for building up epidemiological data. Evidence-based educational interventions are needed. As regards multiple causes of death, multicausal analysis may be indicated for deaths due to a concurrence of causes.
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PMID:Ill-defined and multiple causes on death certificates--a study of misclassification in mortality statistics. 1020 43

A cohort of 766 patients with non-insulin-dependent diabetes mellitus (NIDDM) from a general teaching hospital in Taipei, Taiwan were followed prospectively to assess survival experience and associated risk factors. Data were abstracted from the medical records and additional information was obtained from patients or their closest relatives using a structured questionnaire. Date and cause of death were determined from death certificates. Standardized mortality ratios were calculated by the direct method. Chi2-Square test and Cox's proportional hazard analysis were used to control for potential confounders. During a median follow-up of 3.5 years (range 1 month to 4.6 years), 131 deaths occurred. Of these, 29.8% were due to cardiopulmonary disease (ICD 401-429), 13.0% due to cerebrovascular disease (ICD 430-438), 13.0% due to acute diabetes metabolic complications (250.1, 250.2), and 11.4% due to nephropathy (580-589). Adjusted for age, people with NIDDM had 2.2 (95% CI 1.6-2.9) times the risk of death than members of the general population, and cause-specific standardized mortality ratios were: CPD 4.6, nephropathy 8.8, cerebrovascular disease 1.9, and neoplasm 0.7. Age, fasting plasma glucose, hypertension, and proteinuria were positively and independently associated with all-cause mortality (P < 0.05 for each). Thus, NIDDM patients have higher mortality rates than the general population in Taiwan, and age, fasting plasma glucose, hypertension, and proteinuria are associated with this excess risk. Proper application of available interventions may control these factors with a consequent reduction in mortality. Particular attention is needed to prevent deaths from the acute metabolic complications of diabetes.
Diabetes Res Clin Pract 1999 Feb
PMID:Causes of death and associated factors among patients with non-insulin-dependent diabetes mellitus in Taipei, Taiwan. 1022 62

Cross-sectional studies suggest that an increased urinary albumin excretion rate is associated with cardiovascular disease, dyslipidemia, and hypertension. The purpose of this study was to analyze prospectively whether the urinary albumin-to -creatinine (A/C) ratio can independently predict ischemic heart disease (IHD) in a population-based cohort. In 1983, urinary albumin and creatinine levels were measured, along with the conventional atherosclerotic risk factors, in 2085 consecutive participants without IHD, renal disease, urinary tract infection, or diabetes mellitus. The participants were followed up until death, emigration, or December 31, 1993. IHD was defined as a hospital discharge diagnosis or cause of death including the diagnoses ICD-8 and 410 to 414. Seventy-nine individuals developed IHD during the 21 130 person-years of follow-up. They were characterized by a preponderance of males and higher age, body mass index, blood pressure, lipoproteins, and proportion of current smokers. Microalbuminuria was defined as an A/C ratio) >90 percentile (>0.65 mg/mmol). When adjusted for other risk factors, the relative risk of IHD associated with microalbuminuria was 2.3 (95% CI, 1.3 to 3.9, P=0.002), and the 10-year disease-free survival decreased from 97% to 91% (P<0.0001) when microalbuminuria was present. An interaction between microalbuminuria and smoking was observed, and the presence of microalbuminuria more than doubled the predictive effect of the conventional atherosclerotic risk factors for development of IHD. It is concluded that microalbuminuria is not only an independent predictor of IHD but also substantially increases the risk associated with other established risk factors.
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PMID:Urinary albumin excretion. An independent predictor of ischemic heart disease. 1044 83


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