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 İstanbul University-Cerrahpaşa, Cerrahpaşa 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) = 1.107–20.958, P: 0.036]; dyspnea (OR = 4.652, 95% CI = 1.473–14.688, P: 0.009); neutrophil/lymphocyte ratio (NLR; OR = 1.097, 95% CI = 1.012–1.188, P: 0.025); the highest values of C-reactive protein (CRP; OR = 1.006, 95% CI = 1.000–1.012, P: 0.049), lactate dehydrogenase (LDH; OR = 1.002, 95% CI = 1.001–1.004, P: 0.003), and creatinine levels (OR = 1.497, 95% CI = 1.126–1.990, P: 0.006); oxygen saturation (SpO2) values on admission (OR = 0.897, 95% CI = 0.811–0.993, P: 0.036); and azithromycin use (OR = 0.239, 95% CI = 0.065–0.874, 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.

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A bibliometric analysis of publications on COVID-19 and older adults ABSTRACT Background: Bibliometric analysis is important to guide future research priorities. We aimed to evaluate the most relevant scientific research on COVID-19 and older adults, analyze the current hot topics and identify the 50 most cited publications.Methods: Articles published between December 2019-March 17, 2021 were analyzed. A list was obtained that contained the terms "COVID-19" or "Novel Coronavirus" or "SARS-CoV-2" or "2019-nCoV" and "geriatrics" or "older adults" or "elderly" in the title, abstract, keywords, or keywords plus. Original research articles, reviews, editorial materials, letters were included.The information for the articles contained the year, journal, title, author, country, affiliation, keywords, document type, and counts of citation. VOSviewer was used to analyze the keywords.The most cited 50 articles were identified.Results: Totally 784 publications were included. The keywords that appeared most were "COVID-19" and "older adults," which had a strong link to "social isolation," "dementia," "mortality," and "loneliness." The most active (40.8%) and most cited (1,578) country was the United States. The journal with the largest number of publications (22.7%) and citations (947) was the Journal of the American Geriatric Society. The most researched (84.0%) and most cited area was geriatrics-gerontology (2,882). The median number of citations for the most cited 50 articles was 46.8. Conclusion:The current bibliometric analysis provides information about the quality and research areas of the studies concerning COVID-19 and older adults that have been published so far. Social and psychological support, nutrition, vaccines, and telemedicine may be hot research topics for the future.

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.

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 quantita-tive 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.