Conectar
by Hirokazu Okada, Atsushi Ono, Koji Tomori, Tsutomu Inoue, Norio Hanafusa, Ken Sakai, Ichiei Narita, Toshiki Moriyama, Yoshitaka Isaka, Kei Fukami, Seiji Itano, Eiichiro Kanda, Naoki Kashihara
BackgroundInformation of short-term prognosis after hemodialysis (HD) introduction is important for elderly patients with chronic kidney disease (CKD) and their families choosing a modality of renal replacement therapy. Therefore, we developed a risk score to predict early mortality in incident elderly Japanese hemodialysis patients.
Materials and methodsWe analyzed data of incident elderly HD patients from a nationwide cohort study of the Japanese Society for Dialysis Therapy Renal Data Registry (JRDR) to develop a prognostic risk score. Candidate risk factors for early death within 1 year was evaluated using multivariate logistic regression analysis. The risk score was developed by summing up points derived from parameter estimate values of independent risk factors. The association between risk score and early death was tested using Cox proportional hazards models. This risk score was validated twice by using an internal validation cohort derived from the JRDR and an external validation cohort collected for this study.
ResultsUsing the development cohort (n = 2,000), nine risk factors were retained in the risk score: older age (>85), yes = 2, no = 0; sex, male = 2, female = 0; lower body mass index (2.0 mg/dL), yes = 2, no = 0. In the internal and external validation cohorts (n = 739, 140, respectively), the medium- and high-risk groups (total score, 6 to 10 and 11 or more, respectively) showed significantly higher risk of early death than the low-risk group (total score, 0 to 5) (p Conclusion
We developed a prognostic risk score predicting early death within 1 year in incident elderly Japanese HD patients, which may help detect elderly patients with a high-risk of early death after HD introduction.
Single studies support the presence of several post-COVID-19 symptoms; however, there is no evidence for the synthesis of symptoms.
We attempt to provide an overview of the persistent symptoms that post-COVID-19 patients encounter, as well as the duration of these symptoms to help them plan their rehabilitation.
Systematic review and meta-analysis.
A total of 16 studies involving 8756 patients post-COVID-19 were included.
The CINAHL, PubMed, EMBASE, Scopus, and Web of Science databases were searched from 2019 to August 2021. Observational studies that reported data on post-COVID-19 symptoms were included. The methodological quality of the studies was assessed using the Joanna Briggs Institute Critical Appraisal for Observational Studies. We included medium- to high-quality studies. We used a random-effects model for the meta-analytical pooled prevalence of each post-COVID-19 symptom, and I 2 statistics for heterogeneity.
From the 2481 studies identified, 16 met the inclusion criteria. The sample included 7623 hospitalised and 1133 non-hospitalised patients. We found the most prevalent symptoms were fatigue and dyspnea with a pooled prevalence ranging from 42% (27%–58%). Other post-COVID-19 symptoms included sleep disturbance 28% (14%–45%), cough 25% (10%–44%), anosmia/ageusia 24% (7%–47%), fever 21% (4%–47%), myalgia 17% (2%–41%), chest pain 11% (5%–20%), and headache 9% (2%–20%). In addition to physical symptoms, anxiety/depression was also prevalent 27% (8%–53%).
Fatigue and dyspnea were the most prevalent post-COVID-19 symptoms and experienced up to 12 months.
Multiple persistent symptoms are still experienced until 12 months of post-Covid 19. This meta-analysis should provide some awareness to nurses to highlights the unmet healthcare needs of post-COVID-19 patients. Long-term monitoring for the evaluation and treatment of symptoms and conditions and rehabilitation programs should be conducted.
by Jane Jere, Allison Ruark, Julie T. Bidwell, Rita M. Butterfield, Torsten B. Neilands, Sheri D. Weiser, Nancy Mulauzi, James Mkandawire, Amy A. Conroy
Cardiometabolic disorders (CMD) such as hypertension and diabetes are increasingly prevalent in sub-Saharan Africa, placing people living with HIV at risk for cardiovascular disease and threatening the success of HIV care. Spouses are often the primary caregivers for people living with CMD, and understanding patients’ and partners’ conceptions of CMD could inform care. We conducted semi-structured interviews with 25 couples having a partner living with HIV and either hypertension or diabetes. Couples were recruited from HIV clinics in Malawi and were interviewed on beliefs around symptoms, causation, prevention, and treatment for CMD. Data were analyzed at the individual and dyadic levels using framework analysis and Kleinman’s theory of explanatory models as a lens. On average, participants were 51 years old and married for 21 years. Approximately 57%, 14%, and 80% had hypertension, diabetes, and HIV. Couples endorsed a combination of biomedical explanatory models (beliefs around physical and mental health) and traditional explanatory models (beliefs around religion and natural remedies), although tended to emphasize the biomedical model. Half of couples believed stress was the main cause of hypertension. For diabetes, diet was believed to be a common cause. In terms of prevention, dietary changes and physical activity were most frequently mentioned. For disease management, medication adherence and diet modifications were emphasized, with some couples also supporting herbal remedies, stress reduction, and faith in God as strategies. Participants were generally more concerned about CMD than HIV due to poor access to CMD medications and beliefs that CMD could lead to sudden death. Within couples, partners often held many of the same beliefs but diverged around which etiological or preventive factors were most important (e.g., stress versus diet) and the best diet for CMD. Health education programs should involve primary partners to build knowledge of CMD and address overlap with HIV, and reinforce accurate information on lifestyle factors for the prevention and treatment of CMD.We aimed to investigate the regional variations in the number of interventions and surgeries for peripheral artery disease (PAD) and explore the major determinants of the variations.
Cross-sectional study.
The Japanese Ministry of Health, Labour and Welfare National Database and Diagnostic Procedure Combination database in 2018.
The rates of endovascular treatment (EVT), bypass surgery per 100 000 individuals in the population were calculated for all 47 prefectures in Japan. The total annual changes in the rates of EVT and bypass surgery in Japan from 2012 to 2019 were calculated.
A linear regression model was developed with rates of EVT and bypass surgery as dependent variables and regional medical supply in each prefecture as explanatory variables. These regional factors included the rate of percutaneous coronary intervention (PCI) for angina, the numbers of cardiovascular specialists, specialists in cardiac surgery, interventional radiology (IVR) training facilities and cardiovascular surgery training facilities, per 100 000, respectively.
There was a 5.7-fold difference (143 and 25 per 100 000 individuals aged ≥40 years) in the highest and lowest EVT rates. The highest and lowest rates of bypass surgery were 34 and
Considerable regional variations in the rates of revascularisation for PAD were found. Unbalanced presence of medical resources, preference of suppliers and the training system had larger effects on the regional variation in Japan.
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