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

Long-Term Mortality in Very Old Survivors of COVID-19

OBJECTIVES

This report aimed to describe mortality at 18 months in older survivors of the first wave of COVID-19.

DESIGN

Observational cohort study.

SETTING AND PARTICIPANTS

Patients aged ≥65 years hospitalized for COVID-19 in the acute geriatric wards of 2 centers.

METHODS

Characteristics of deceased and survivors were compared by Fisher exact, Mann-Whitney U, or 2-tailed t tests. Survival rates were analysed by Cox proportional hazards regression models.

RESULTS

Of a total of 323 patients admitted during the first wave, 196 survived the acute phase, with 34 patients who died in the 18 months after hospital discharge (17.3%). Higher mortality was observed in patients living in nursing homes (P = .033) and in those who were hospitalized after discharge during the follow-up period (97.1% vs 72.8%, P = .001). There was no difference in survival curves according to age, sex, presence of dyspnea, and dementia. Living in a nursing home significantly increased the mortality rates in the multivariate model adjusted for age and sex (hazard ratio 3.07, 95% CI 1.47-6.40; P = .007).

CONCLUSIONS AND IMPLICATIONS

No excess mortality was observed during 18 months in older survivors of COVID-19. Living in a nursing home was associated with decreased survival rates.

Diabetes Mellitus and Related Admission Factors Among Hospitalized Patients in King Abdul-Aziz University Hospital in Jeddah, Saudi Arabia

Background

Diabetes mellitus (DM) is a rapidly increasing serious health problem that affects the population all over the world. The increasing prevalence of DM in Saudi Arabia is reflected in our hospital admissions as well. This study aimed to assess the proportion of DM (including type 1 and type 2 diabetes) among hospitalized patients and the reasons for admissions to the medical unit at King Abdul-Aziz University Hospital (KAUH) in Jeddah, Saudi Arabia.

Methods

We conducted a hospital record-based cross-sectional study at KAUH from January to April 2021. The study included all adult patients admitted to the internal medicine wards and isolation unit but excluded patients in the coronary care unit and those with gestational diabetes. We reviewed the medical records to collect demographic data, causes of admission, laboratory results, and outcomes.

Results

Among the hospitalized patients, 49.9% had DM. The most common associated risk factors and causes of admission among patients with DM were hypertension (HTN; 73.2%) and dyslipidemia (43.1%). Other less common reasons for admission were heart failure (20.6%), coronavirus disease-2019 (COVID-19; 17.8%), chronic kidney disease (CKD; 14.5%), pneumonia (12.3%), and stroke (10%). Dyslipidemia, HTN, CKD, diabetic ketoacidosis, heart failure, and need for intensive care unit (ICU) admission were significantly higher in diabetic patients as compared to patients without diabetes. HTN, dyslipidemia, CKD, heart failure, stroke, acute abdomen, and malignancy were significantly higher in patients with type 2 diabetes. Among diabetic patients, those with non-Saudi nationality, low hemoglobin level, dyslipidemia, pneumonia, sepsis, and requiring ICU admission had a greater risk of death.

Conclusions

The high burden of DM on the secondary healthcare level in Saudi Arabia highlights the need for effective diabetes prevention and treatment strategies in primary care and hospital outpatient settings. Such measures would help reduce the hospitalization rate and ease the healthcare system’s burden.

Do morbidity measures predict the decline of activities of daily living and instrumental activities of daily living amongst older inpatients? A systematic review

OBJECTIVES

Older adults often suffer from multimorbidity, which results in hospitalisations. These are often associated with poor health outcomes such as functional dependence and mortality. The aim of this review was to summarise the current literature on the capacities of morbidity measures in predicting activities of daily living (ADL) and instrumental activities of daily living (IADL) amongst inpatients.

METHODS

A systematic literature search was performed using four databases: Medline, Cochrane, Embase, and Cinahl Central from inception to 6th March 2019. Keywords included comorbidity, multimorbidity, ADL, and iADL, along with specific morbidity measures. Articles reporting on morbidity measures predicting ADL and IADL decline amongst inpatients aged 65 years or above were included.

RESULTS

Out of 7334 unique articles, 12 articles were included reporting on 7826 inpatients (mean age 77.6 years, 52.7% females). Out of five morbidity measures, the Charlson Comorbidity Index was most often reported. Overall, morbidity measures were poorly associated with ADL and IADL decline amongst older inpatients.

CONCLUSION

Morbidity measures are poor predictors for ADL or IADL decline amongst older inpatients and follow-up duration does not alter the performance of morbidity measures.

Predictors of In-Hospital Mortality in Older Patients With COVID-19: The COVIDAge Study

OBJECTIVE

To determine predictors of in-hospital mortality related to COVID-19 in older patients.

DESIGN

Retrospective cohort study.

SETTING AND PARTICIPANTS

Patients aged 65 years and older hospitalized for a diagnosis of COVID-19.

METHODS

Data from hospital admission were collected from the electronic medical records. Logistic regression and Cox proportional hazard models were used to predict mortality, our primary outcome. Variables at hospital admission were categorized according to the following domains: demographics, clinical history, comorbidities, previous treatment, clinical status, vital signs, clinical scales and scores, routine laboratory analysis, and imaging results.

RESULTS

Of a total of 235 Caucasian patients, 43% were male, with a mean age of 86 ± 6.5 years. Seventy-six patients (32%) died. Nonsurvivors had a shorter number of days from initial symptoms to hospitalization (P = .007) and the length of stay in acute wards than survivors (P < .001). Similarly, they had a higher prevalence of heart failure (P = .044), peripheral artery disease (P = .009), crackles at clinical status (P < .001), respiratory rate (P = .005), oxygen support needs (P < .001), C-reactive protein (P < .001), bilateral and peripheral infiltrates on chest radiographs (P = .001), and a lower prevalence of headache (P = .009). Furthermore, nonsurvivors were more often frail (P < .001), with worse functional status (P < .001), higher comorbidity burden (P < .001), and delirium at admission (P = .007). A multivariable Cox model showed that male sex (HR 4.00, 95% CI 2.08-7.71, P < .001), increased fraction of inspired oxygen (HR 1.06, 95% CI 1.03-1.09, P < .001), and crackles (HR 2.42, 95% CI 1.15-6.06, P = .019) were the best predictors of mortality, while better functional status was protective (HR 0.98, 95% CI 0.97-0.99, P = .001).

CONCLUSIONS AND IMPLICATIONS

In older patients hospitalized for COVID-19, male sex, crackles, a higher fraction of inspired oxygen, and functionality were independent risk factors of mortality. These routine parameters, and not differences in age, should be used to evaluate prognosis in older patients.

Why primary obesity is a disease?

Obesity must be considered a real pathology. In the world wide, obesity represent one of the major public health issue associated with increased morbidity and mortality. Overweight or obesity, in fact, significantly increases the risk of contracting diseases, such as: arterial hypertension, dyslipidemia, type 2 diabetes mellitus, coronary heart disease, cerebral vasculopathy, gallbladder lithiasis, arthropathy, ovarian polycytosis, sleep apnea syndrome, and some neoplasms. Despite numerous informative campaigns, unfortunately, the fight against obesity does not seem to work: in the last years, the prevalence continued to increase. The progressive and rapid increase in the incidence of obesity, which has characterized most of the economically advanced countries in the last decade, has been the main stimulus for the research of the mechanisms underlying this pathology and the related disorders. The aims of this review is to provide a revision of the literature in order to define obesity as diseases, secondly to highlight the limits and the inaccuracy of common tools used for the diagnosis of obesity, and as a third thing to strengthen the concept of the complexity of obesity as a disease among political health care providers. Obesity may be viewed as a multifactorial pathology and chronic low-grade inflammatory disease. In fact, people affected by obesity have greater risk of developing comorbility and morbility, respect to healthy. Hence, the absolute therapeutic benefit is directly proportional to the basic risk. So, internationally interest on early diagnosis of obesity is growing to avoid under- and overdiagnosis consequences. Therefore, the consequences are an aggravation of the disease and an increase in obesity related pathology like diabetes, cardiovascular disease, and cancer. The most widely used parameter for diagnosis, body mass index (BMI) is not suitable for assessing the body fat. In fact, several studies demonstrate that BMI alone cannot define obesity, which consists not so much in weight gain as in excess fat mass. The use of suitable tools for the assessment of fat mass percentage combined with clinical and genetic analysis allowed to identify different phenotypes of obesity, which explain the various paradoxes of obesity. It is essential to adopt all possible strategies to be able to combat obesity, ameliorate the suffering of patients, and reduce the social and treatment costs of obesity.

The association of diabetes duration and glycemic control with depression in elderly men with type 2 diabetes mellitus

Background:

The prevalence of depression and type 2 diabetes mellitus (T2DM) are increasing in the elderly and are reportedly related to each other. We evaluated the relationship between T2DM-related factors and the degree of depression in elderly patients with T2DM based on gender.

Materials and Methods:

A total of 155 patients with T2DM (56 males and 99 females aged ≥ 65 years) from seven hospitals were included in the study. To assess the status of depressive symptoms, the short form of the Geriatric Depression Scale-Korean version (SGDS-K) was used. We evaluated DM-related factors, such as T2DM duration, hemoglobin A1c (HbA1c) levels, and T2DM complications, as well as other possible factors that could affect depression, such as cognitive function, physical function, education level, and other personal factors.

Results:

Mean age of the participants was 71.3 years with a mean HbA1c level of 7.6%. Males in the good glycemic control group (HbA1c <7%) showed lower SGDS-K scores compared to those in the poor glycemic control group, and the mean SGDS-K score was higher in the group with a longer duration of DM (M10 years); however, no difference was observed in females. Males and females with microvascular and macrovascular complications tended to have higher SGDS-K scores than participants with no microvascular or macrovascular complications. A multiple linear regression analysis revealed that DM duration and HbA1c level were independently associated with SGDS-K scores in males.

Conclusion:

Greater depression was associated with poorer glycemic control and a longer duration of DM in elderly males with T2DM.

Risk factors of long-term mortality in middle-aged women: a 27-year follow-up cohort

OBJECTIVE

This study aimed to evaluate the impact of different risk factors on long-term mortality in middle-aged women.

METHODS

Women who received preventive health care control between 1990 and 1993 were recruited. Anamnesis and physical examination were recorded. Blood samples for the measurement of glycemia and lipids were taken. Data are reported as of December 2017.

RESULTS

We studied 1197 women aged between 40 and 60 years. We observed 183 deaths (survival 84.0%; 95% confidence interval [CI], 81.7-86.1, Kaplan-Meier survival analysis). The main causes of death were cancer (39.9%; 95% CI, 32.7-47.1), cardiovascular disease (22.9%; 95% CI, 16.8-29.1), infectious disease (13.7%; 95% CI, 8.6-18.7), other causes (7.1%, 95% CI, 3.4-10.9), and unspecified cause (6.6%; 95% CI, 2.9-10.2). The final Cox regression model showed the following hazard ratios for mortality: diabetes mellitus 2.51 (95% CI, 1.40-4.51), history of fracture 2.47 (95% CI, 1.15-5.30), history of heart illness 2.06 (95% CI, 1.15-3.72), arterial hypertension 1.51 (95% CI, 1.08-2.11), age 1.07 (95% CI, 1.04-1.10), body mass index 1.06 (95% CI, 1.02-1.09), and sexual intercourse 0.94 (95% CI, 0.89-0.98). Lipid disorders did not reach statistical significance as a risk factor.

CONCLUSION

Diabetes, a history of fractures, and cardiovascular risk factors, except lipids, are markers of long-term mortality in middle-aged women. Physicians should pay special attention to these risk factors.

Prevalence of cardiovascular disease in type 2 diabetes: a systematic literature review of scientific evidence from across the world in 2007-2017

BACKGROUND

Cardiovascular disease (CVD) is a common comorbidity in type 2 diabetes (T2DM). CVD's prevalence has been growing over time.

PURPOSE

To estimate the current prevalence of CVD among adults with T2DM by reviewing literature published within the last 10 years (2007-March 2017).

METHODS

We searched Medline, Embase, and proceedings of major scientific meetings for original research documenting the prevalence of CVD in T2DM. CVD included stroke, myocardial infarction, angina pectoris, heart failure, ischemic heart disease, cardiovascular disease, coronary heart disease, atherosclerosis, and cardiovascular death. No restrictions were placed on country of origin or publication language. Two reviewers independently searched for articles and extracted data, adjudicating results through consensus. Data were summarized descriptively. Risk of bias was examined by applying the STROBE checklist.

RESULTS

We analyzed data from 57 articles with 4,549,481 persons having T2DM. Europe produced the most articles (46%), followed by the Western Pacific/China (21%), and North America (13%). Overall in 4,549,481 persons with T2DM, 52.0% were male, 47.0% were obese, aged 63.6 ± 6.9 years old, with T2DM duration of 10.4 ± 3.7 years. CVD affected 32.2% overall (53 studies, N = 4,289,140); 29.1% had atherosclerosis (4 studies, N = 1153), 21.2% had coronary heart disease (42 articles, N = 3,833,200), 14.9% heart failure (14 studies, N = 601,154), 14.6% angina (4 studies, N = 354,743), 10.0% myocardial infarction (13 studies, N = 3,518,833) and 7.6% stroke (39 studies, N = 3,901,505). CVD was the cause of death in 9.9% of T2DM patients (representing 50.3% of all deaths). Risk of bias was low; 80 ± 12% of STROBE checklist items were adequately addressed.

CONCLUSIONS

Globally, overall CVD affects approximately 32.2% of all persons with T2DM. CVD is a major cause of mortality among people with T2DM, accounting for approximately half of all deaths over the study period. Coronary artery disease and stroke were the major contributors.

Impact of cardiovascular complications among patients with Type 2 diabetes mellitus: a systematic review

Macrovascular and microvascular complications that accompany Type 2 diabetes mellitus (T2DM) add to the burden among patients. The purpose of this systematic review is to conduct a comprehensive search of the medical literature investigating the prevalence of cardiovascular (CV) complications and assess their impact on healthcare costs, quality of life and mortality among patients with T2DM in the context of microvascular complications. A total of 76 studies and reports were used in this systematic review. Hypertension was the most prevalent complication among patients with T2DM. The additional cost burden due to CV complications was higher than any other complication except end-stage renal disease. Quality of life was much lower among patients with CV complications and T2DM, and mortality was higher than either illness alone.

Prevalence and epidemiology of diabetes in Canadian primary care practices: a report from the Canadian Primary Care Sentinel Surveillance Network

OBJECTIVE

The Canadian Primary Care Sentinel Surveillance Network (CPCSSN) is a large, validated national primary care Electronic Medical Records (EMR)-based database. Our objective was to describe the epidemiology of diabetes in this Canadian sample.

METHODS

We analyzed the records of 272 469 patients10 years of age and older, with at least 1 primary care clinical encounter between January 1, 2011, and December 31, 2012. We calculated the age-gender standardized prevalence of diabetes. We compared health care utilization and comorbidities for 7 selected chronic conditions in patients with and without diabetes. We also examined patterns of medication usage.

RESULTS

The estimated population prevalence of diabetes was 7.6%. Specifically, we studied 25 425 people with diabetes who had at least 1 primary care encounter in 2 years. On average, patients with diabetes had 1.42 times as many practice encounters as patients without diabetes (95% CI 1.42 to 1.43, p<0.0001). Patients with diabetes had 1.29 times as many other comorbid conditions as those without diabetes (95% CI 1.27 to 1.31, p<0.0001). We found that 85.2% of patients taking hypoglycemic medications were taking metformin, and 51.8% were taking 2 or more classes of medications.

CONCLUSIONS

This study is the first national Canadian report describing the epidemiology of diabetes using primary care EMR-based data. We found significantly higher rates of primary care use, and greater numbers of comorbidities in patients with diabetes. Most patients were on first-line hypoglycemic medications. Data routinely recorded in EMRs can be used for surveillance of chronic diseases such as diabetes in Canada. These results can enable comparisons with other national EMR-based datasets.

Looking beyond discharge: clinical variables at trauma admission predict long term survival in the older severely injured patient

Background

Long term follow up is difficult to obtain in most trauma settings, these data are essential for assessing outcomes in the older (≥60) patient. We hypothesized that clinical data obtained during initial hospital stay could accurately predict long term survival.

Study design

Using our trauma registry and hospital database, we reviewed all trauma admissions (age ≥60, ISS > 15) to our Level 1 center over the most recent 7 years. Mechanism of injury, co-morbidities, ICU admission, and ultimate disposition were assessed for 2-7 years post-discharge. Primary outcome was defined as long term survival to the end of the last year of the study.

Results

Of 342 patients discharged following initial admission, mean age was 76.2 ± 9.7, and ISS was 21.5 ± 6.9. 119 patients (34.8%) died (mean follow up 18.8 months; range 1.1-66.2 months). For 233 survivors, mean follow-up was 50.2 months (range 24.8-83.8 months). Univariate analysis disclosed post-discharge mortality was associated with age (80.1 ± 9.64 vs. 74.2 ± 9.07), mean number of co-morbidities (1.6 ± 1.1 vs. 1.0 ± 1.2), fall as a mechanism, lower GCS upon arrival (11.85 ± 4.21 vs. 13.73 ± 2.89), intubation at the scene and discharge to an assisted living facility (p < 0.001 for all). Cox regression analysis hazard ratio showed that independent predictors of mortality on long term follow-up included: older age, fall as mechanism, lower GCS at admission and discharge to assisted living facility (all = p < 0.0001).

Conclusions

Nearly two-thirds of patients ≥60 who were severely injured survived >4 years following discharge; furthermore, admission data, including younger age, injury mechanism other than falls, higher GCS and home discharge predicted a favorable long term outcome. These findings suggest that common clinical data at initial admission can predict long term survival in the older trauma patient.

Retinopathy, nephropathy, peripheral neuropathy and geriatric scale scores in elderly people with Type 2 diabetes

AIMS

To analyse the relationships between retinopathy, nephropathy, peripheral neuropathy and geriatric scale scores in elderly people with Type 2 diabetes.

METHODS

GERODIAB is the first French multi-centre, prospective, observational study designed to assess the influence of glycaemic control on mortality and morbidity through a 5-year follow-up study in people with Type 2 diabetes aged 70 years and older. In this report the relationships at baseline between retinopathy, nephropathy and peripheral neuropathy, and five geriatric scale scores in 987 people, using bivariate and multivariate analyses are analysed.

RESULTS

Retinopathy (26%) was significantly associated with impaired scores on the Mini Geriatric Depression Scale, the Mini Nutritional Assessment and the Instrumental Activities of Daily Living scale. Logistic regression showed that the duration of diabetes, BMI, Mini Geriatric Depression Scale, hypoglycaemia and HbA1c were associated with retinopathy (concordance 69.1%; P < 0.001). Nephropathy (47.4%, including 34.8% with Modification of Diet in Renal Disease < 60 ml/min) was significantly associated with impaired Activities of Daily Living and Instrumental Activities of Daily Living scale scores. Using the logistic model, the most significant factors were age, duration of diabetes, triglycerides, HDL cholesterol, hypoglycaemia, hypertension and BMI (concordance 66.3%; P < 0.001). Peripheral neuropathy (28.2%) was associated with impaired scores on the Mini Mental State Examination, Activities of Daily Living, Instrumental Activities of Daily Living and Mini Geriatric Depression Scales. In the logistic model, diastolic blood pressure, duration of diabetes and the Instrumental Activities of Daily Living, Mini Geriatric Depression Scale and Mini Mental State Examination scales were included (concordance 69.8%; P < 0.001).

CONCLUSION

In this specific sample, classical microvascular complications of diabetes were found to be associated with impaired geriatric scale scores. This highlights the benefits of systematic assessment in elderly people with Type 2 diabetes.

Elderly patients with type 2 diabetes mellitus-the need for high-quality, inpatient diabetes care

Elderly patients (aged > 70 years) with diabetes are at high risk of -hospitalization. We provide a detailed commentary about recent international clinical guidelines and a consensus statement devoted to elderly patients with type 2 diabetes mellitus in the context of hospitalization. In emergency departments, the 4 medication agents associated with the greatest number of patient adverse drug events are warfarin, oral glucose-lowering medications, insulin, and antiplatelet agents, all of which are commonly prescribed in older patients with diabetes. Comprehensive gerontological assessment, including review and, if indicated, discontinuation of all potentially unsafe or inappropriate patient medications should be done upstream to reduce the likelihood of adverse drugs events. Severe infections and ischemic heart disease are also frequent causes of acute admission into hospital in patients aged > 75 years. These patients are also likely to be malnourished and nutritional status should be monitored. Nutritional support, combined with specific products to avoid uncontrolled hyperglycemia must be implemented in patients at risk of malnutrition. Early exercise prescription may help patients maintain physical function and prevent the risk of falling. Clinical guidelines should be applied to achieve safe and effective patient target glucose levels. Insulin should be used earlier for its anabolic properties and patients closely monitored to reduce the risk of hypoglycemia and excessive hyperglycemia. The discharge plan needs to address full medical and social needs along with suitable follow-up to ensure a high level of patient safety.