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










Intervalo de ano de publicação
1.
West Afr J Med ; 39(3): 269-274, 2022 Mar 30.
Artigo em Inglês | MEDLINE | ID: mdl-35366672

RESUMO

BACKGROUND: Lagos State has the highest number of COVID-19 cases in Nigeria. We assessed the factors predicting the length of hospital stay of COVID-19 patients admitted in 15 isolation centres across the state. METHODS: We reviewed the electronic medical records of all COVID-19 patients admitted and discharged between February 27, 2020, and September 30, 2020. Logistic and linear regressions were used to assess factors predicting the length of hospital stay. RESULTS: A total of 3153 records were reviewed, of which 2623 (83.2%) met the inclusion criteria. The mean age of patients admitted was 40.5 (Sd 14.8) years. The age range was four days-97 years. A total of 1258 (48.0%) were symptomatic, while 2056 (78.4%) and 567 (21.6%) presented with mild and severe disease, respectively. Cough (22.0%), fever (17.3%) and breathlessness (12.3%) were the most common symptoms at presentation. Generally, the median length of hospital stay was 11 (IQR 9, 14) days. A total of 1609 (61.3%) had a prolonged length of hospital stay. The odds for prolonged hospital stay was higher among elderly patients (AOR 12.1 95%CI 7.6-19.4, p<0.001), male (AOR 1.2 95%CI 1.0-1.4, p=0.031) and patients with severe disease (AOR 1.3 95% CI 1.0-1.7, p=0.042). Age, hypertension and shortness of breath made the most significant contribution to predicting the length of hospital stay (P<0.05). CONCLUSION: Age, gender, hypertension and breathlessness predicted the length of hospital stay. Proactive measures should be instituted in managing COVID-19 patients.


CONTEXTE: L'État de Lagos a le plus grand nombre de cas de COVID-19 au Nigeria. Nous avons évalué les facteurs predisan la durée du séjour à l'hôpital des patients atteints de la COVID-19 admis en 15 centres d'isolement à travers l'État. MÉTHODES: Nous avons examiné les dossiers médicaux électroniques de tous les Patients atteints de la COVID-19 admis et sortis de l'hôpital entre février27, 2020 et 30 septembre 2020. Régressions logistiques et linéaire sont été utilisés pour évaluer les facteurs prédisant la durée de l'hôpital rester. RÉSULTATS: Un total de 3153 dossiers ont été examinés, don't 2623 (83,2 %) répondaient aux critères d'inclusion. L'âge moyen des patients admis était de 40,5 ans (Sd 14,8). La gamme d'âge était de quatre jours­97 ans. Au total, 1258 (48,0 %) étaient symptomatiques, tandis qu'en 2056(78,4 %) et 567 (21,6 %) ont présenté une maladie bénigne et grave,respectivement. Toux (22,0 %), fièvre (17,3 %) et essoufflement(12,3 %) étaient les symptômes les plus courants à la présentation.En général, la durée médiane du séjour à l'hôpital était de 11 (IQR 9, 14)Jours. Au total, 1609 (61,3 %) ont eu une durée prolongée d'hospitalisation rester. Les chances de séjour prolongé à l'hôpital étaient plus élevées chezpatients âgés (AOR 12,1 IC à 95 % 7,6­19,4, p<0,001), hommes (AOR1,2 IC à 95 % 1,0 à 1,4, p = 0,031) et patients atteints d'une maladie grave(AOR 1,3 IC à 95 % 1,0­1,7, p = 0,042). Âge, hypertension et l'essoufflement a apporté la contribution la plus significative à prédire la durée du séjour à l'hôpital (P<0,05). CONCLUSION: Âge, sexe, hypertension et essoufflement prédit la durée du séjour à l'hôpital. Des mesures proactives devraient être institués dans la prise en charge des patients atteints de LA COVID-19. Mots-clés: COVID-19, présentation clinique, durée de l'hôpitalrester, Lagos.


Assuntos
COVID-19 , Pandemias , Adolescente , Adulto , Idoso , Idoso de 80 Anos ou mais , COVID-19/epidemiologia , Criança , Pré-Escolar , Feminino , Hospitalização , Humanos , Lactente , Recém-Nascido , Tempo de Internação , Masculino , Pessoa de Meia-Idade , Nigéria/epidemiologia , Adulto Jovem
2.
Artigo em Chinês | WPRIM (Pacífico Ocidental) | ID: wpr-1004617

RESUMO

【Objective】 To evaluate the effect of multi-disciplinary patient blood management(PBM) on perioperative blood transfusion in patients with cardiothoracic surgery of gradeⅢ~Ⅳ. 【Methods】 The blood transfusion data and relevant clinical information of adult patients underwent grade Ⅲ~Ⅳ cardiothoracic surgeries before and after PBM (from January 2016 to December 2018)in our hospital were collected using Hospital Information System and Management System of Blood Transfusion Department. Patients were grouped according to three separate12-month periods: 933 cases subjected to conventional blood transfusion practice from Jan. to Dec.2016 as the control group, 1 139 cases experienced initial implement PBM(started on Jan.1, 2017)from Jan. to Dec.2017 as the early PBM group, and 1 411 cases received improved PBM from Jan. to Dec.2018 as the improved PBM group. The perioperative autotransfusion rate, allogeneic transfusion rate, length of hospital stay and hospitalization expenses of the three groups were compared by χ2 test and variance analysis. 【Results】 The comparison results among control group, early PBM group and improved PBM group were as following: 1) The proportion of patients using iron and EPO to treat preoperative anemia were 15.12%(44/291)vs 19.73%(72/365)vs 26.65%(125/469)(P<0.01) and 10.31%(30/291)vs 12.33%(40/365)vs 15.57%(73/469)(P<0.05), respectively. 2) The incidence of autotransfusion were 57.98%(541/933)vs 44.76%(544/1 139)vs 37.00%(522/1 411)(P<0.01). The allogeneic transfusion volume per capita(U) were 351.91±35.85 vs 392.76±43.33 vs 421.75±73.84(P<0.05). The incidence of allogeneic blood transfusion were 18.11%(169/933)vs 17.56%(200/1 139)vs 13.32%(188/1 411)(P<0.01). The allogeneic blood transfusion volume per capita (U) were 6.56±8.33 vs 5.52±6.28 vs 5.56±6.17(P<0.01). 3) The per capita hospital stay (d) and ICU stay (d) were19.54±16.56 vs 16.46±12.06 vs 15.11±10.18 and 4.45±9.31 vs 3.56±6.93 vs 3.26±5.29(P<0.05), respectively. The per capita hospitalization expenses (ten thousand yuan/person) were 10.76±8.39 vs 9.58±7.58 vs 9.13±5.9(P<0.05). 【Conclusion】 The application of PBM in perioperative blood transfusionfor adult cardiothoracic surgery Ⅲ ~ Ⅳcan significantly decrease the incidence of autologous and allogeneic blood transfusion, the length of hospitalstay and hospitalization expenses.

3.
Injury ; 51(8): 1846-1850, 2020 Aug.
Artigo em Inglês | MEDLINE | ID: mdl-32482422

RESUMO

BACKGROUND: Hip fracture in the elderly is associated with increased morbidity and mortality. Pneumonia during hospitalization is not uncommon and is associated with poorer outcomes, such as an increased risk of readmission and higher mortality rates. We aim to identify independent predictive factors for developing pneumonia during hospitalization in this group and also assessed the effect pneumonia has on hospital-stay, in-hospital and 30-day mortality. METHODS: Retrospective cohort study with prospectively collected data from hospitalized elderly hip fracture patients between January 2015 and January 2017. Examined predictors were age, gender, pre-fracture living situation, pre-fracture mobility score, pre-fracture ADL-status, history of dementia, diabetes, congestive heart failure, chronic obstructive pulmonary disease and prior stroke, ASA-score, anemia at admission, surgery within 48 hours, surgical procedure and anesthesia used. Multivariable regression analysis including resampling methods (bootstrapping) was used to examine the effects of predictors. RESULTS: Of 407 patients, 62 (15.2%) were treated for pneumonia during hospitalization. Only gender, surgery within 48 hours and history of COPD differed significantly at baseline between the groups with and without pneumonia. Adjusted for age and gender, we observed a 1.6 times longer hospital-stay (95% CI 1.4-1.9, p<0.001), higher in-hospital mortality (OR 8.0, 95% CI 2.97-22.29) and 30-day mortality (OR 3.22, 95% CI 1.44-6.94) in the pneumonia-group. Pneumonia explained 9.1% of the variance in the length of hospital-stay aside from age and gender. Eight candidate predictors from the univariate analyses with a p<0.20 were selected for a multivariable logistic regression in 1000 bootstrap samples. Gender and history of COPD were most often found to have a p<0.10 (61.3% and 58.2%, respectively) in the bootstrap analyses and more than 80% stability in their B-coefficient signs. The discriminative quality of these two variables alone resulted in an AUC of 61.7% (95% CI 54%-69%). CONCLUSION: Pneumonia resulted in longer hospital-stay and higher mortality rates. Of the 15 selected potential risk-factors for developing pneumonia during admission, male gender and history of COPD appeared to have the best potential as predictors. The other risk-factors had poorer performance, probably due to the few events and limited occurrence of some candidate variables in our study population.


Assuntos
Fraturas do Quadril , Pneumonia , Idoso , Fraturas do Quadril/cirurgia , Hospitais , Humanos , Tempo de Internação , Masculino , Readmissão do Paciente , Estudos Retrospectivos , Fatores de Risco
SELEÇÃO DE REFERÊNCIAS
DETALHE DA PESQUISA
...