Medicine
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Observational Study
Questionnaire and polysomnographic evaluation of obstructive sleep apnea in a cohort of post-COVID-19 patients.
To evaluate the efficiency of 5 screening questionnaires for obstructive sleep apnea (OSA), OSA frequency, and the association between OSA and COVID-19 severity in recent COVID-19 cases, and to compare the use of the oxygen desaturation index (ODI) as an alternative measure for the respiratory disturbance index (RDI). This open cohort study recruited patients with recent COVID-19 (within 30-180 days) diagnosed using reverse transcription polymerase chain reaction. Participants were screened for OSA using the following 5 sleep disorder questionnaires prior to undergoing type I polysomnography: the Sleep Apnea Clinical Score (SACS), Epworth Sleepiness Scale (ESS), STOP-Bang score, No-Apnea score, and Berlin questionnaire. ⋯ The intraclass correlation coefficient showed 95.2% agreement between RDI > 5/h and ODI > 10/h. The sequential application of the No-Apnea score and SACS was the most efficient screening method for OSA, which had a moderately high incidence among the post-COVID-19 group. We demonstrated an association between OSA and COVID-19 related hospitalization and that ODI could be a simple method with good performance for diagnosing OSA in this population.
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Recent findings indicate a growing trend in data analysis within healthcare using statistical process control. However, the diversity of variables involved necessitates the expansion of new process control methodologies. This study examined control chart applications in cardiology by using generalized additive models (GAMs) to construct profiles while involving multiple healthcare variables (08). ⋯ While both statistics contribute to profile monitoring, T2 is more effective at identifying and tracing medium and large shifts. In conclusion, such handy tools may aid healthcare performance monitoring, especially for complicated predictor-response relationships. Monitored profiles demonstrated that GAMs are useful for healthcare analysis and process monitoring.
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Immunity and inflammation in pulmonary arterial hypertension (PAH) has gained more attention. This research aimed to investigate the potential causal connections between 731 immunophenotypes and the likelihood of developing PAH. We obtained immunocyte data and PAH from openly accessible database and used Mendelian randomization (MR) analysis to evaluate the causal association between each immunophenotype and PAH. ⋯ Sensitivity analyses suggested the robustness of all MR findings. This research, for the first time, has revealed indicative evidence of a causal link between circulating immune cell phenotypes and PAH through genetic mechanisms. These results underscore the importance of immune cells in the pathogenesis of PAH.
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Construction of a prognostic model for esophageal cancer (ESCA) based on prognostic RNA-binding proteins (RBPs) and preliminary evaluation of RBP function. ⋯ ARHGEF28, BOLL, CIRBP, DKC1, SNRPB, and TRIT1, as RBPs, are associated with the prognosis of ESCA, which may provide new ideas for targeted therapy of ESCA.
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Exercise interventions for mild cognitive impairment (MCI) have been extensively studied. However, there is no bibliometric study on exercise interventions for MCI. This study aimed to identify the collaborative networks, research hotspots, evolution trends, and future directions. ⋯ This area is in a rapid development phase, whereby research hotpots are focused and the research trend is clear. The highly productive authors and institutions have made outstanding contributions and the subject categories present an interdisciplinary trend. However, there is weak cooperation between countries and institutions, and a substantial research gap exists between developed and developing countries. Future research may highlight the intervention quality, emphasizing the combination with virtual reality technology.