Improvement of scoring system used before discharge to predict 30-day all-cause unplanned readmission in geriatric population: a prospective cohort study.

BACKGROUND: Data taken from tertiary referral hospitals in Indonesia suggested readmission rate in older population ranging between 18.1 and 36.3%. Thus, it is crucial to identify high risk patients who were readmitted. Our previous study found several important predictors, despite unsatisfactory discrimination value. METHODS: We aimed to investigate whether comprehensive geriatric assessment (CGA) -based modification to the published seven-point scoring system may increase the discrimination value. We conducted a prospective cohort study in July-September 2022 and recruited patients aged 60 years and older admitted to the non-surgical ward and intensive coronary care unit. The ROC curve was made based on the four variables included in the prior study. We conducted bivariate and multivariate analyses, and derived a new scoring system with its discrimination value. RESULTS: Of 235 subjects, the incidence of readmission was 32.3% (95% CI 26-38%). We established a new scoring system consisting of 4 components. The scoring system had maximum score of 21 and incorporated malignancy (6 points), delirium (4 points), length of stay ≥ 10 days (4 points), and being at risk of malnutrition or malnourished (7 points), with a good calibration test. The C-statistic value was 0.835 (95% CI 0.781-0.880). The optimal cut-off point was ≥ 8 with a sensitivity of 90.8% and a specificity of 54.7%. CONCLUSIONS: Malignancy, delirium, length of stay ≥ 10 days, and being at risk of malnutrition or malnourished are predictors for 30-day all-cause unplanned readmission. The sensitive scoring system is a strong model to identify whether an individual is at higher risk for readmission. The new CGA-based scoring system had higher discrimination value than that of the previous seven-point scoring system.

Sarcopenia in a Multiethnic State: A Cross-Sectional Data Analysis of Multicentre Indonesia Longitudinal Aging Study.

BACKGROUND: Previous regional studies related to sarcopenia in multiethnic Indonesia suggested inconsistent findings. We aimed to find the prevalence of sarcopenia and its associated factors among Indonesian older adults. METHODS: In this cross-sectional analysis, we utilised the data of Indonesia Longitudinal Aging Study (INALAS) from community-dwelling outpatients in eight centres. Statistical analyses included descriptive, bivariate, and multivariate analyses. We categorised older adults into sarcopenia group based on the criteria of the SARC-F questionnaire, namely strength, assistance with walking, rising from a chair, climbing stairs, and falls questionnaire. RESULTS: Among 386 older adults, 17.6% were in sarcopenia group. The prevalence of sarcopenia was found to be the lowest in Sundanese group (8.2%). Following appropriate statistical adjustment, sarcopenia was associated with female sex (OR 3.01, 95% CI 1.34-6.73), dependent functional capacity (OR 7.38, 95% CI 3.26-16.70), frailty (OR 11.82, 95% CI 5.41-25.80), and history of fall (OR 5.17 (95% CI 2.36-11.32). Sarcopenia was not significantly associated with age 70 years and older (OR 1.67, 95% CI 0.81-3.45), Sundanese group (OR 0.44, 95% CI 0.15-1.29), and being at high risk for malnutrition or malnourished (OR 2.98, 95% CI 0.68-13.15). All centenarians had no sarcopenia nor frailty, and 80% of them were Sundanese older adults. CONCLUSION: One in five Indonesian community-dwelling older adults had sarcopenia, associated with female sex, dependent functional capacity, frailty, and history of fall. Albeit statistically nonsignificant, there may still be link between Sundanese, age 70 years and older, as well as being at high risk for malnutrition, and sarcopenia.

Sedentary Lifestyle of Older Adults and Its Associated Factors: A Multicentre Cross-Sectional Study During COVID-19 Pandemic in Indonesia.

BACKGROUND: COVID-19 is here to stay, and humans ought to decide how to adapt. We aimed to describe lifestyle changes during COVID-19 pandemic, and to determine the prevalence and factors associated with sedentary lifestyle among older adults. METHODS: We obtained data from community-dwelling older adults aged ≥60 years. We presented the data descriptively and used multivariate analysis to assess the association between Physical Activity Scale for the Elderly (PASE) -based sedentary lifestyle and other variables in several tertiary geriatric centres. RESULTS: Among 601 participants, 21.1% had sedentary lifestyle. Ethnic groups with the highest prevalence of sedentary lifestyle were Minang, Balinese, and Sundanese. Changes related to food intake, body weight, and physical activity were seen in a small proportion of older adults. Sun exposure habit was described. Sedentary lifestyle was associated with less consumption of food (OR 2.59, 95% CI 1.07-6.30), weight loss (OR 3.00, 95% CI 1.64-5.48), and higher intensity of snacking (OR 0.45, 95% CI 0.20-0.99). CONCLUSION: During COVID-19 pandemic, one out of five older adults had sedentary lifestyle, which was positively associated with less consumption of food and weight loss, and negatively associated with higher intensity of snacking. The prevalence of sedentary lifestyle varied across ethnic groups. Adequate and appropriate food intake may be crucial to keep older adults active, preventing them from entering vicious cycle of malnutrition, sarcopenia, and frailty.

Malnutrition and depression as predictors for 30-day unplanned readmission in older patient: a prospective cohort study to develop 7-point scoring system.

BACKGROUND: Readmission is related to high cost, high burden, and high risk for mortality in geriatric patients. A scoring system can be developed to predict the readmission of older inpatients to perform earlier interventions and prevent readmission. METHODS: We followed prospectively inpatients aged 60 years and older for 30 days, with initial comprehensive geriatric assessment (CGA) on admission in a tertiary referral centre. Patients were assessed with CGA tools consisting of FRAIL scale (fatigue, resistance, ambulation, illness, loss of weight), the 15-item Geriatric Depression Scale, Mini Nutritional Assessment short-form (MNA-SF), the Barthel index for activities of daily living (ADL), Charlson Comorbidity Index (CCI), caregiver burden based on 4-item Zarit Burden Index (ZBI), and cognitive problem with Abbreviated Mental Test (AMT). Demographic data, malignancy diagnosis, and number of drugs were also recorded. We excluded data of deceased patients and patients transferred to other hospitals. We conducted stepwise multivariate regression analysis to develop the scoring system. RESULTS: Thirty-day unplanned readmission rate was 37.6 %. Among 266 patients, 64.7 % of them were malnourished, and 46.5 % of them were readmitted. About 24 % were at risk for depression or having depressed mood, and 53.1 % of them were readmitted. In multivariate analysis, nutritional status (OR 2.152, 95 %CI 1.151-4.024), depression status (OR 1.884, 95 %CI 1.071-3.314), malignancy (OR 1.863 95 %CI 1.005-3.451), and functional status (OR 1.584, 95 %CI 0.885-2.835) were included in derivation of 7 score system. The scoring system had maximum score of 7 and incorporated malnutrition (2 points), depression (2 points), malignancy (2 points), and dependent functional status (1 point). A score of 3 or higher suggested 82 % probability of readmission within 30 days following discharge. Area under the curve (AUC) was 0.694 (p = 0.001). CONCLUSIONS: Malnutrition, depression, malignancy and functional problem are predictors for 30-day readmission. A practical CGA-based 7 scoring system had moderate accuracy and strong calibration in predicting 30-day unplanned readmission for older patients.

Prevalence of prehypertension and its risk factors in midlife and late life: Indonesian family life survey 2014-2015.

BACKGROUND: Early detection of prehypertension is important to prevent hypertension-related complications, such as cardiovascular disease, cerebrovascular disease and all-cause mortality. Data regarding the prevalence of prehypertension among mid- and late-life population in Indonesia were lacking. It is crucial to obtain the prevalence data and identify the risk factors for prehypertension in Indonesia, which may differ from that of other countries. METHODS: The cross-sectional analysis utilized multicenter data from Indonesian Family Life Survey-5 (IFLS-5) from 13 provinces in 2014-2015. We included all subjects at mid-and late-life (aged ≥40 years old) from IFLS-5 with complete blood pressure data and excluded those with prior diagnosis of hypertension. Prehypertension was defined as high-normal blood pressure according to International Society of Hypertension (ISH) 2020 guideline (systolic 130-139 mmHg and/or diastolic 85-89 mmHg). Sociodemographic factors, chronic medical conditions, physical activity, waist circumference and nutritional status were taken into account. Statistical analyses included bivariate and multivariate analyses. RESULTS: There were 5874 subjects included. The prevalence of prehypertension among Indonesian adults aged > 40 years old was 32.5%. Age ≥ 60 years (adjusted OR 1.68, 95% CI 1.41-2.01, p <  0.001), male sex (adjusted OR 1.65, 95% CI 1.45-1.88, p <  0.001), overweight (adjusted OR 1.44, 95% CI 1.22-1.70, p <  0.001), obesity (adjusted OR 1.77, 95% CI 1.48-2.12, p <  0.001), and raised waist circumference (adjusted OR 1.32, 95% CI 1.11-1.56, p = 0.002) were the significant risk factors associated with prehypertension. Prehypertension was inversely associated with being underweight (adjusted OR 0.74, 95% CI 0.59-0.93, p = 0.009). CONCLUSIONS: The prevalence of prehypertension in Indonesian mid- and late-life populations is 32.5%. Age ≥ 60 years, male sex, overweight, obesity, and raised waist circumference are risk factors for prehypertension.

Modifiable Risk Factors for Dementia in Indonesia's Urban Population.

BACKGROUND: Indonesia is one of ten countries in the world with estimated number of dementia case exceeding a million. The number of elderly population living in Indonesian cities has exceeded the number in rural areas, but the country lacks data representing the urban population better related to modifiable risk factors for dementia, prevention of which is crucial. We aimed to identify the modifiable risk factors for dementia in Indonesia's urban population. METHODS: this case-control study used five-year data in Indonesia's national general hospital by tracing back medical record books of individuals aged 60 years and above in geriatric medicine outpatient clinic to the first hospital visit. Statistical analyses included bivariate and multivariate analyses to adjust for confounding factors appropriately. RESULTS: data from 345 patients suggested that the significant risk factors for dementia were history of smoking (adjusted OR 2.860, 95% CI 1.559-5.246), history of hearing loss (adjusted OR 7.962, 95% CI 3.534-17.941), history of depression (adjusted OR 12.473, 95% CI 2.533-61.417), hypertension (adjusted OR 1.751, 95% CI 1.006-3.048), and diabetes mellitus (adjusted OR 2.561, 95% CI 1.482-4.425). Dementia patients had longer median duration of diabetes mellitus (12 years) than elderly without dementia (9 years) before the diagnosis of dementia. Single point late-life underweight condition and low educational attainment were not associated with dementia in Indonesia's urban setting. The risk factors for vascular dementia were largely similar to those of dementia. CONCLUSION: in Indonesian urban population, history of smoking, hearing loss, depression, hypertension, and diabetes mellitus are associated with dementia.

COVID-19 and Indonesia.

Coronavirus disease 2019 (COVID-19) pandemic is an ongoing problem in more than 200 countries in the world. Indonesia has been greatly affected by COVID-19 with case fatality rate (CFR) being 8.9% in the end of March 2020. We have some room for improvement related to the unreadingess of healthcare facility and the major steps taken by the government. It is suggested that the country should have stricter Stay-at-Home notice, suppress the spread by imposing lockdown on a large scale, improve healthcare service, and increase the availability of personal protective equipments (PPE). It is important to avoid an epidemic peak that potentially overwhelms healthcare service by quarantining the case contacts. Lockdown may prolong the epidemic doubling time significantly. Demand of health system is likely to grow since the number of COVID-19 case is likely to rise. Effective procedures for protecting medical staff from infection are essential. Scientific research in Indonesia is also crucial to provide suggestion and recommendation pertinent to COVID-19.

Gastrointestinal Presentation in COVID-19 in Indonesia: A Case Report.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is currently causing a widespread infection in the world. During the pandemic, physicians may need to raise the index of suspicion earlier in at-risk patients presenting with gastrointestinal symptoms, which are uncommon findings in coronavirus disease 2019 (COVID-19) patients. We report a patient in Indonesia with chest pain and gastrointestinal symptoms who was later confirmed to have SARS-CoV-2 infection after spending days of hospitalisation in the standard ward.

Clinical Profile of Elderly Patients with COVID-19 hospitalised in Indonesia's National General Hospital.

Latar BelakangSebanyak 38.6% kasus kematian pasien COVID-19 di Indonesia terjadi di populasi lansia. Data mengenai profil klinis pasien rawat inap lansia dengan COVID-19 masih tidak ada. Padahal kelompok pasien ini adalah pasien risiko tinggi selama pandemi ini yang memerlukan perhatian lebih.MetodeStudi deskriptif ini menggunakan data lengkap pasien lansia dengan COVID-19 yang dirawat inap di Rumah Sakit Umum Pusat Nasional Cipto Mangunkusumo (RSUPN Cipto Mangunkusumo) dari April hingga akhir Agustus 2020. Data termasuk karakteristik klinis, gejala, komorbiditas, multimorbiditas dan luaran mortalitas pasien.HasilDi populasi pasien lansia (n=44), mayoritas berusia di antara 60-69 tahun (68%), berjenis kelamin laki-laki (66%), dan tidak memiliki riwayat kontak erat dengan pasien COVID-19 sebelumnya (86%). Gejala tersering ialah demam, batuk, dan sesak yang merupakan gejala khas COVID-19, sedangkan penyakit kronis tersering adalah diabetes melitus, hipertensi, dan keganasan. Multimorbiditas ditemukan hanya di 14% pasien lansia, dan para pasien tersebut bertahan hidup pasca infeksi virus SARS-CoV-2. Angka kematian pasien lansia rawat inap dengan COVID-19 di studi ini adalah 23%, dan 90% dari kasus kematian berjenis kelamin laki-laki.KesimpulanPasien laki-laki mendominasi kasus terkonfirmasi dan kasus kematian lansia dengan COVID-19. Gejala khas COVID-19 hanya ditemukan di sekitar setengah pasien penelitian. Pasien yang meninggal dunia memiliki persentase gejala khas lebih tinggi. Gejala tidak khas pun mungkin ditemukan di pasien lansia. Immunosenescence dan fungsi imunoregulasi jenis kelamin tertentu dihipotesiskan memiliki peran penting dalam menyebabkan kematian lansia di studi ini.Kata Kunci: Profil Klinis, Lansia, Pasien Geriatri, COVID-19, Indonesia  ABSTRACTBackgroundOlder people contributed to 38.6% of death cases related to COVID-19 in Indonesia. Data regarding clinical profile of hospitalised elderly with COVID-19 in Indonesia were still lacking. Older people are at-risk population in the pandemic, whom we should pay attention to.MethodsThis single centre descriptive study utilised complete data of elderly inpatients with COVID-19 in Indonesia's national general hospital from April to late August 2020. The data consisted of clinical characteristics, symptoms, comorbidities, multimorbidity, and mortality outcome.ResultsAmong elderly patients (n=44), a majority of patients were aged 60-69 years (68%), were male (66%), and had no history of close contact with COVID-19 patient (86%). The most common symptoms were fever, cough and shortness of breath (classic symptoms of COVID-19), whereas the most common chronic diseases were diabetes mellitus, hypertension, and malignancy. Multimorbidity was only found in 14% of patients, all of whom remained alive following SARS-CoV-2 infection. The death rate among elderly inpatients with COVID-19 in this study was 23%, and male older adults contributed to 90% of death cases.ConclusionMale patients dominated both confirmed cases and death cases among elderly with COVID-19. Classic symptoms of COVID-19 were only found in about half of the study patients. Non-survivors had higher percentage of the classic symptoms of COVID-19 than survivors. Atypical COVID-19 presentations are possible in older adults. We postulated that immunosenescence and sex-specific immunoregulatory function play an important role in causing death in this study cohort. Keywords: Clinical Profile, Elderly, Geriatric Patient, COVID-19, Indonesia.

Frailty and Its Associated Risk Factors: First Phase Analysis of Multicentre Indonesia Longitudinal Aging Study.

Background: National long-term care development requires updated epidemiological data related to frailty. We aimed to find the prevalence of frailty and its associated factors among Indonesian elderly. Methods: We conducted first-phase cross-sectional analysis of Indonesia Longitudinal Aging Study (INALAS) data collected from community-dwelling outpatients aged 60 years and older without acute illness in nine geriatric service care centres. Descriptive, bivariate and multivariate analyses were conducted. Results: Among 908 elderly in this study, 15.10% were robust, 66.20% were pre-frail, and 18.70% were frail. Functional dependence was associated with frailty among Indonesian elderly (OR 5.97, 95% CI 4.04-8.80). Being depressed and at risk for malnutrition were also associated with frailty with OR 2.54, 95% CI 1.56-4.12, and OR 2.56, 95% CI 1.68-3.90, respectively. Prior history of fall (OR 1.77, 95% CI 1.16-2.72) and hospitalization (OR 1.46, 95% CI 0.97-2.20) in the previous 12 months were associated with frailty. There is also significant association between poly pharmacy and frailty (OR 2.42, 95% CI 1.50-3.91). Conclusion: Approximately one in five Indonesian community-dwelling elderly was frail. Frailty is associated with functional dependence, being at risk for malnutrition or being malnourished, depression, history of fall, history of hospitalization, and poly pharmacy. There may be bidirectional relationships between the risk factors and frailty. The development of long-term care in Indonesia should be considered, without forcing the elderly who need it.