Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 3 de 3
Filtrar
Mais filtros

Base de dados
Tipo de documento
País de afiliação
Intervalo de ano de publicação
1.
Turk J Med Sci ; 51(5): 2285-2295, 2021 10 21.
Artigo em Inglês | MEDLINE | ID: mdl-34461684

RESUMO

Background: To date, the coronavirus disease 2019 (COVID-19) caused more than 2.6 million deaths all around the world. Risk factors for mortality remain unclear. The primary aim was to determine the independent risk factors for 28-day mortality. Materials and methods: In this retrospective cohort study, critically ill patients (≥ 18 years) who were admitted to the intensive care unit due to COVID-19 were included. Patient characteristics, laboratory data, radiologic findings, treatments, and complications were analyzed in the study. Results: A total of 249 patients (median age 71, 69.1% male) were included in the study. 28-day mortality was 67.9% (n = 169). The median age of deceased patients was 75 (66­81). Of them, 68.6% were male. Cerebrovascular disease, dementia, chronic kidney disease, and malignancy were significantly higher in the deceased group. In the multivariate analysis, sepsis/septic shock (OR, 15.16, 95% CI, 3.96­58.11, p < 0.001), acute kidney injury (OR, 4.73, 95% CI, 1.55­14.46, p = 0.006), acute cardiac injury (OR, 9.76, 95% CI, 1.84­51.83, p = 0.007), and chest CT score higher than 15 (OR, 4.49, 95% CI, 1.51-13.38, p = 0.007) were independent risk factors for 28-day mortality. Conclusion: Early detection of the risk factors and the use of chest CT score might improve the outcomes in patients with COVID-19.


Assuntos
COVID-19/diagnóstico , COVID-19/mortalidade , Idoso , Idoso de 80 Anos ou mais , Estudos de Coortes , Estado Terminal , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Estudos Retrospectivos , Fatores de Risco
2.
Medicine (Baltimore) ; 103(20): e38211, 2024 May 17.
Artigo em Inglês | MEDLINE | ID: mdl-38758912

RESUMO

This study aimed to assess the effect of the status of the tendon and patient factors on patient satisfaction after rotator cuff repair. Forty-six patients treated for tears with a minimum of 5-year follow-up were included. Gender, age, and active smoking status were recorded. Pain visual analogue scale, American Shoulder and Elbow Surgeons Standardized Shoulder Assessment Form, Simple Shoulder Test, and Single Assessment Numeric Evaluation were recorded preoperatively and at the last follow-up. Patients were divided into groups of highly satisfied (HS) and vaguely satisfied (VS) patients. Patients were evaluated with MRI both preoperatively and at their last follow-up. Of the 46 patients, 17 were HS and 29 were VS. The HS group had 7 re-ruptures, 4 of which were progressed tears, whereas the VS group had 15 re-ruptures, 4 of which were progressed tears. There was no difference in the rate of re-ruptures or progressed tears between groups. The HS group had a higher frequency of males. However, frequencies of active smoking or osteoarthritis of grade 2 or higher were lower in the HS group. It was shown that patient satisfaction after repair depends on patient-related factors like gender and smoking rather than tendon healing or degeneration.


Assuntos
Artroscopia , Satisfação do Paciente , Lesões do Manguito Rotador , Humanos , Masculino , Feminino , Lesões do Manguito Rotador/cirurgia , Artroscopia/métodos , Pessoa de Meia-Idade , Idoso , Fatores Sexuais , Imageamento por Ressonância Magnética , Fumar/efeitos adversos , Medição da Dor , Resultado do Tratamento , Seguimentos , Manguito Rotador/cirurgia , Adulto
3.
Balkan Med J ; 39(2): 140-147, 2022 03 14.
Artigo em Inglês | MEDLINE | ID: mdl-35330565

RESUMO

Background: The prediction of high-flow nasal oxygen (HFNO) failure in patients with coronavirus disease-2019 (COVID-19) having acute respiratory failure (ARF) may prevent delayed intubation and decrease mortality. Aims: To define the related risk factors to HFNO failure and hospital mortality. Study Design: Retrospective cohort study. Methods: To this study, 85 critically ill patients (≥18 years) with COVID-19 related acute kidney injury who were treated with HFNO were enrolled. Treatment success was defined as the de-escalation of the oxygenation support to the conventional oxygen therapies. HFNO therapy failure was determined as the need for invasive mechanical ventilation or death. The patients were divided into HFNO-failure (HFNO-F) and HFNO-success (HFNO-S) groups. Electronic medical records and laboratory data were screened for all patients. Respiratory rate oxygenation (ROX) index on the first hour and chest computed tomography (CT) severity score were calculated. Factors related to HFNO therapy failure and mortality were defined. Results: This study assessed 85 patients (median age 67 years, 69.4% male) who were divided into two groups as HFNO success (n = 33) and HFNO failure (n = 52). The respiratory rate oxygenation (ROX) was measured at 1 hour and the computed tomography (CT) score indicated HFNO failure and intubation, with an area under the receiver operating characteristic of 0.695 for the ROX index and 0.628 for the CT score. A ROX index of <3.81 and a CT score of >15 in the first hour of therapy were the predictors of HFNO failure and intubation. Age, Acute Physiology and Chronic Health Evaluation II score, arterial blood gas findings "(i.e., partial pressure of oxygen [PaO2], PaO2 [fraction of inspired oxygen]/SO2 [oxygen saturation] ratio)", and D-dimer levels were also associated with HFNO failure; however, based on logistic regression analysis, a calculated ROX on the first hour of therapy of <3.81 (odds ratio [OR] = 4.78, 95% confidence interval [CI] = 1.75-13.02, P = 0.001) and a chest CT score of >15 (OR = 2.83, 95% CI = 1.01-7.88, P = <0.001) were the only independent risk factors. In logistic regression analysis, a ROX calculated on the first hour of therapy of <3.81 (OR = 4.78, [95% CI = 1.75-13.02], P = 0.001) and a chest CT score of >15 (OR 2.83, 95% CI = 1.01-7.88, P = <0.001) were the independent risk factors for the HFNO failure. The intensive care unit and hospital mortality rates were 80.2% and 82.7%, respectively, in the HFNO failure group. Conclusion: The early prediction of HFNO therapy failure is essential considering the high mortality rate in patients with HFNO therapy failure. Using the ROX index and the chest CT severity score combined with the other clinical parameters may reduce mortality. Additionally, multi-centre observational studies are needed to define the predictive value of ROX and chest CT score not only for COVID-19 but also other causes of ARF.


Assuntos
COVID-19 , Coronavirus , Idoso , Estado Terminal/terapia , Feminino , Humanos , Masculino , Oxigênio/uso terapêutico , Taxa Respiratória , Estudos Retrospectivos , Tomografia Computadorizada por Raios X
SELEÇÃO DE REFERÊNCIAS
DETALHE DA PESQUISA