Predictive Strategies to Reduce the Risk of Rehospitalization with a Focus on Frail Older Adults: A Narrative Review.

Frailty is a geriatric syndrome that has physical, cognitive, psychological, social, and environmental components and is characterized by a decrease in physiological reserves. Frailty is associated with several adverse health outcomes such as an increase in rehospitalization rates, falls, delirium, incontinence, dependency on daily living activities, morbidity, and mortality. Older adults may become frailer with each hospitalization; thus, it is beneficial to develop and implement preventive strategies. The present review aims to highlight the epidemiological importance of frailty in rehospitalization and to compile predictive strategies and related interventions to prevent hospitalizations. Firstly, it is important to identify pre-frail and frail older adults using an instrument with high validity and reliability, which can be a practically applicable screening tool. Comprehensive geriatric assessment-based care is an important strategy known to reduce morbidity, mortality, and rehospitalization in older adults and aims to meet the needs of frail patients with a multidisciplinary approach and intervention that includes physiological, psychological, and social domains. Moreover, effective multimorbidity management, physical activity, nutritional support, preventing cognitive frailty, avoiding polypharmacy and anticholinergic drug burden, immunization, social support, and reducing the caregiver burden are other recommended predictive strategies to prevent post-discharge rehospitalization in frail older adults.

The impact of COVID-19 pandemic on the geriatric inpatient unit.

OBJECTIVE: We aimed to determine the effects of the pandemic on the inpatients in the geriatric unit by comparing the demographic and clinical characteristics, reasons for hospitalization, morbidity, and mortality of the patients before and during the pandemic. METHODS: The population of this retrospective, cross-sectional study consisted of inpatients in the geriatric unit for two years (11 March 2019-10 March 2021). The patients were separated into two groups according to the hospitalization time as pre-COVID-19 and COVID-19 period. Hospitalization types, reasons for hospitalization, length of stay, demographic data, chronic diseases, drugs, developed morbidities, discharge, and 1-year mortality status of the patients were recorded. RESULTS: Three hundred and fifty patients were included in our study. The mean age was 80.4 ± 8.02. It was observed that the number of hospitalized patients decreased by ∼50% in the COVID-19 period. However, there was a significant decrease in hospitalization due to the control of chronic diseases during the COVID-19 period (p = .008). The number of inpatients from the emergency department was found to be higher during the COVID-19 period (p < .001). Regarding the presence of geriatric syndromes, polypharmacy (p = .011) and delirium (p = .035) were found to be significantly less in the pre-COVID-19 period. The percentage of malnutrition was also detected as lower, but it was not statistically significant. In terms of 1-year mortality, although not statistically significant, the all-cause mortality rate was higher during the COVID-19 period (p = .08). CONCLUSIONS: Pandemic has greatly affected the geriatric unit. The prognosis of the patients has worsened and mortality rates have increased. Physiological and psychological deterioration caused by quarantine measures, worsening chronic diseases, and immunosenescence affected the prognosis of geriatric patients. This adds to the previous literature by proving the fact that older individuals are the most vulnerable group in the pandemic.

Association between anticholinergic drug burden with sarcopenia, anthropometric measurements, and comprehensive geriatric assessment parameters in older adults.

BACKGROUND: Older patients use multiple drugs due to their comorbidities and most of these drugs have anticholinergic drug burden (ADB). We aimed to investigate the association between ADB and sarcopenia, anthropometric measurements, and comprehensive geriatric assessment (CGA) parameters in older adults. METHODS: Patients ≥65 years who applied to geriatrics outpatient clinic between January 2019-March 2020 were included. Patients with cognitive dysfunction were excluded. CGA tests were conducted on patients. Handgrip strength (HGS), bioelectrical impedance analysis (BIA), and a 6-meter walking test were used for sarcopenia definition. The Anticholinergic Cognitive Burden (ACB) scale was used to calculate the ADB. RESULTS: Totally 256 patients (women/men:180/76) were included. The mean age was 82±6.8. Two groups were created as without ADB (n=116) and with ADB (n=140). Sarcopenia was higher in the ADB group (p=0.04). In women and men as ADB increased HGS decreased (respectively; p=0.023 r=-0.170, p=0.031 r=-0.248) and Basic Activities of Daily Living (BADL) test score increased (respectively; p= <0.001 r= 0.292, p=0.04 r= 0.244). In the linear regression (LR) analysis age and BADL test score had significant association with ADB in women (respectively; p=0.001, p=0.023). CONCLUSION: The finding that sarcopenia is higher in the patients with ADB and HGS decreases as ADB increases, suggesting that ADB may be a risk factor for sarcopenia by decreasing HGS. Also, it has been determined that, especially in older women, as ADB increases, the dependence on basic daily living activities increases.

Antibody responses to COVID-19 vaccines in older adults.

Because of the senescence of the immune system, antibody response to the COVID-19 vaccines may differ from older to younger adults. The study aim compares the titers of SARS-CoV-2 IgG antibody of patients ≥60 years who received three doses of CoronaVac vaccine and those who received two doses of CoronaVac+1 dose of Pfizer-BioNTech after 1 month of the last vaccination. Patients ≥60 years who received the CoronaVac vaccine between March 1, 2021, and April 30, 2021, who did not have COVID-19 disease before the first dose of vaccination and were negative for COVID-19 antibodies, whose antibodies were tested before the third dose of vaccination, and who did not have any COVID-19 disease during the follow-up were included. The demographic characteristics and comorbidities of patients were recorded. An immunofluorescence assay (IFA) fast test and a chemiluminescent microparticle immunoassay (Abbott) were used to measure SARS-CoV-2 quantitative antibody levels at the first month after the third-dose vaccine. Totally 81 patients, 41 patients in third dose of the CoronaVac group (female:male 18:23, mean age 69.4 ± 8.5), and 40 patients in third dose of the Pfizer-BioNTech group (female:male 15:25, mean age 69.9 ± 9.1) were included. The patients' comorbidities in the groups were similar. The titers of IgG antibodies to SARS-CoV-2 measured according to both IFA and Abbott Kit at first month the third dose vaccination was significantly higher in the Pfizer-BioNTech group (p ≥ 0.001, p = 0.012, respectively). The results report that the formed immunity in the first month after the two doses of CoronaVac+1 dose Pfizer-BioNTech vaccine was higher than three doses of CoronaVac vaccine in older adults.

Association of FGF-19 and FGF-21 levels with primary sarcopenia.

AIM: Serum fibroblast growth factor (FGF)-19 and FGF-21 levels have been reported to be associated with muscle hemostasis. This study aims to explore the relationship between the levels of these markers and sarcopenia. METHODS: In our single-center, cross-sectional study, patients over 65 years old presenting to the geriatric outpatient clinic were included. Patients with secondary sarcopenia were excluded. The Strength-Assistance with walking-Rising from a chair-Climbing stairs and Falls (SARC-F) questionnaire was applied to all patients. Sarcopenia was determined by handgrip strength (HGS), bioelectrical impedance analysis and 6-m walk test. Serum samples were stored at -80°C until measurement. The ELISA method was used to assess FGF-19 and FGF-21 levels. RESULTS: In total, 88 patients (54 women) were included. There were 43 patients in the sarcopenia group and 45 patients without sarcopenia in the control group. In those with sarcopenia, FGF-19 was lower (P = 0.04) and FGF-21 was higher (P = 0.021). There was a direct correlation between FGF-19 with SARC-F and HGS (P = 0.04, B = 0.178, P = 0.006, B = 0.447) while FGF-21 was inversely correlated with HGS and positively correlated with 6-m walking time (P = 0.016, B = -0.428, P = 0.004, B = 0.506). CONCLUSIONS: Our results reveal that low FGF-19 and high FGF-21 may be associated with sarcopenia and this finding could be explained by the impacted muscle strength. Geriatr Gerontol Int 2021; 21: 959-962.

The relationship between primary sarcopenia and SARC-F, serum MMP9, TIMP1 levels, and MMP9/TIMP1 ratio in the geriatric patients.

PURPOSE: The purpose of this study is to evaluate the relationship between serum MMP9 (Matrix metalloproteinase), TIMP1 (Tissue inhibitor of metalloproteinase) levels and MMP9/TIMP1 ratio and primary sarcopenia in geriatric patients, and compare the diagnostic accuracy of such biomarkers with that of the SARC-F score. METHODS: A total of 88 patients aged 65 years and older were assessed in the study. Comorbidities and geriatric syndromes were determined and patients with secondary sarcopenia were excluded. EWGSOP2 criteria were used as diagnostic criteria for sarcopenia and SARC-F questionnaire was used to find individuals at risk for sarcopenia. Serum MMP9 and TIMP1 levels were analyzed by ELISA method. RESULTS: SARC-F, serum MMP9 and MMP9/TIMP1 ratio were significantly higher in the group with sarcopenia compared to the group without sarcopenia (p = 0.001, p = 0.026 and p = 0.006, respectively). In univariate logistic regression analysis, while SARC-F score and MMP9/TIMP1 ratio were significant, MMP9, TIMP1, age and gender were not. In the multivariate logistic regression analysis of the SARC-F score and the MMP9/TIMP1 ratio, it was determined that both of them were associated with sarcopenia [Odds ratio (OR) 1.447 (95%) confidence interval (CI) 1.170-1.791, p = 0.001; OR 1.127, (95%) CI 1.016-1.249, p = 0.023, respectively]. ROC curve analysis showed that the area under ROC curve (AUC) of SARC-F and MMP9/TIMP1 was 0.703 (p = 0.001, %95 CI 0.594-0.812) and 0.670 (p = 0.006, %95 CI 0.557-0.783), respectively. CONCLUSION: Although this study supports the use of SARC-F questionnaire in daily practice; if SARC-F can't be applicable, the MMP9/TIMP1 ratio could be an alternative choice to the SARC-F.

Does the COVID-19 seroconversion in older adults resemble the young?

High antibody titers have been found to correlate with the severity of coronavirus disease 2019 (COVID-19) disease. Therefore, antibody titers may be higher in older adults, whose disease is known to have a more severe course than younger ones. This study aimed to compare the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) immunoglobulin G (IgG) antibody level in the reverse transcription-polymerase chain reaction (RT-PCR) to test positive older adults with young. Patients aged ≥18 with positive RT-PCR and checked serum IgG antibodies between November 1, 2020 and January 13, 2021 were included. The IgG antibody levels and the time between RT-PCR positivity with the antibody levels were recorded. A total of 1071 patients were divided into two groups as Group 1 <60 years old (n = 902) and Group 2 ≥60 years old (n = 169). The SARS-CoV-2 IgG antibody titers were higher in Group 2 (p = 0.001). This height was present in the first 3 months after positive RT-PCR. While the antibody titers were compared by dividing Group 2 into the three groups according to age ranges (60-69, 70-79, and ≥80 years), the antibody titer was higher in ≥80 years patients (p = 0.044). High COVID-19 IgG antibody levels may be associated with the severity of the disease. Also, the humoral immunity advantage was seen in the first 3 months in the older patients, which suggests that older adults with COVID-19 may develop reinfection in the long term.

Relationship between the types of urinary incontinence, handgrip strength, and pelvic floor muscle strength in adult women.

AIM: To investigate the relationship between handgrip strength with types of urinary incontinence (UI) and pelvic floor muscle strength (PFMS) in women. METHODS: Ninety-two women, who presented to the geriatric and urology outpatient clinics complaining of UI between July 2019 and February 2020 and had indicated to undergo urodynamic assessment after basic neurourological evaluation, were included in this cross-sectional study. The presence and types of UI were identified by clinical examination and urodynamic studies. Demographic parameters, anthropometric data, comorbidities and medications were recorded. The International Consultation on Incontinence Questionnaire-Short Form was applied. Handgrip strength (HGS) was measured by a hand dynamometer. The PFMS was subjectively assessed via vaginal digital palpation and measured quantitatively by the vaginal probe of the perineometer. RESULTS: Thirty-eight urodynamic stress, 28 detrusor overactivity, 26 urodynamic mixed UI patients were reported. Perineometer measurements were significantly lower in the urodynamic stress UI group compared to the other two groups (p = 0.020). There was no relationship between the types of urinary incontinence and HGS. However, a positive correlation was found between PFMS and HGS (p = 0.045, r = 0.298). CONCLUSION: The positive correlation between HGS and PFMS indicates that low HGS may be a marker for PFMS weakness. Furthermore, the association between sarcopenia and UI may be explained by this condition.

Factors affecting mortality in geriatric patients hospitalized with COVID-19

Background/aim: We aimed to investigate the factors affecting the mortality of patients aged 65 years or older who were hospitalized with the diagnosis of new coronavirus pneumonia (COVID-19). Materials and methods: This is a retrospective study of patients 65 years old or older with COVID-19 who were hospitalized in Istanbul University-Cerrahpasa, Cerrahpasa Medical Faculty Hospital, between March 11 and May 28, 2020. Demographic, clinical, treatment, and laboratory data were extracted from electronic medical records. We used univariate and multivariate logistic regression methods to explore the risk factors for in-hospital death. Results: A total of 218 patients (112 men, 106 women) were included, of whom 166 were discharged and 52 died in hospital. With univariate analysis, various clinical features and laboratory variables were found to be significantly different (i.e. P < 0.05). In multivariate logistic regression analysis the following were independently associated with mortality: present malignancy [odds ratio (OR) = 4.817, 95% confidence interval (CI) = 1.107­20.958, P: 0.036]; dyspnea (OR = 4.652, 95% CI = 1.473­14.688, P: 0.009); neutrophil/lymphocyte ratio (NLR; OR = 1.097, 95% CI = 1.012­1.188, P: 0.025); the highest values of C-reactive protein (CRP; OR = 1.006, 95% CI = 1.000­1.012, P: 0.049), lactate dehydrogenase (LDH; OR = 1.002, 95% CI = 1.001­1.004, P: 0.003), and creatinine levels (OR = 1.497, 95% CI = 1.126­1.990, P: 0.006); oxygen saturation (SpO2) values on admission (OR = 0.897, 95% CI = 0.811­0.993, P: 0.036); and azithromycin use (OR = 0.239, 95% CI = 0.065­0.874, P: 0.031). Conclusion: The presence of malignancy; symptoms of dyspnea; high NLR; highest CRP, LDH, and creatinine levels; and low SpO2 on admission predicted mortality. On the other hand, azithromycin use was found to be protective against mortality. Knowing the causes predicting mortality will be important to treat future cases more successfully.