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1.
PLoS One ; 18(1): e0279654, 2023.
Artículo en Inglés | MEDLINE | ID: covidwho-2268309

RESUMEN

BACKGROUND: To evaluate the effects of post-acute care (PAC) on frail older adults after acute hospitalization in Taiwan. METHODS: This was a multicenter interventional study. Frail patients aged ≥ 75 were recruited and divided into PAC or control group. The PAC group received comprehensive geriatric assessment (CGA) and multifactorial intervention including exercise, nutrition education, and medicinal adjustments for two to four weeks, while the control group received only CGA. Outcome measures included emergency room (ER) visits, readmissions, and mortality within 90 days after PAC. RESULTS: Among 254 participants, 205 (87.6±6.0 years) were in the PAC and 49 (85.2±6.0 years) in the control group. PAC for more than two weeks significantly decreased 90-day ER visits (odds ratio [OR] 0.21, 95% confidence interval [CI] 0.10-0.43; p = 0.024), readmissions (OR 0.30, 95% CI 0.16-0.56; p < 0.001), and mortality (OR 0.20, 95% CI 0.04-0.87; p = 0.032). Having problems in self-care was an independent risk factor for 90-day ER visits (OR 2.11, 95% CI 1.17-3.78; p = 0.012), and having problems in usual activities was an independent risk factor for 90-day readmissions (OR 2.69, 95% CI 1.53-4.72; p = 0.001) and mortality (OR 3.16, 95% CI 1.16-8.63; p = 0.024). CONCLUSION: PAC program for more than two weeks could have beneficial effects on decreasing ER visits, readmissions, and mortality after an acute illness in frail older patients. Those who perceived severe problems in self-care and usual activities had a higher risk of subsequent adverse outcomes. TRIAL REGISTRATION: ClinicalTrials.gov NCT Identifier: NCT05452395.


Asunto(s)
Anciano Frágil , Readmisión del Paciente , Anciano , Humanos , Atención Subaguda , Hospitalización , Servicio de Urgencia en Hospital , Evaluación Geriátrica
2.
Front Public Health ; 10: 994712, 2022.
Artículo en Inglés | MEDLINE | ID: covidwho-2099270

RESUMEN

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic can be effectively controlled by rapid and accurate identification of SARS-CoV-2-infected cases through large-scale screening. Hypercube pooling polymerase chain reaction (PCR) is frequently used as a pooling technique because of its high speed and efficiency. We attempted to implement the hypercube pooling strategy and found it had a large quantization effect. This raised two questions: is hypercube pooling with edge = 3 actually the optimal strategy? If not, what is the best edge and dimension? We used a C++ program to calculate the expected number of PCR tests per patient for different values of prevalence, edge, and dimension. The results showed that every edge had a best performance range. Then, using C++ again, we created a program to calculate the optimal edge and dimension required for pooling samples when entering prevalence into our program. Our program will be provided as freeware in the hope that it can help governments fight the SARS-CoV-2 pandemic.


Asunto(s)
COVID-19 , SARS-CoV-2 , Humanos , SARS-CoV-2/genética , Prueba de COVID-19 , COVID-19/diagnóstico , Pandemias , Reacción en Cadena de la Polimerasa
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