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1.
Sci Rep ; 14(1): 2893, 2024 02 05.
Artigo em Inglês | MEDLINE | ID: mdl-38316978

RESUMO

Stevens-Johnson syndrome and toxic epidermal necrolysis (SJS/TEN) are potentially fatal medical conditions that lack established treatment. Therapeutic plasma exchange (PE) is a potential treatment option; however, its effectiveness is unclear. We aimed to evaluate the effectiveness of PE in patients with SJS/TEN. A retrospective cohort study was conducted using data from the Japanese National Administrative Claims database from 2016 to 2021. The analysis included 256 patients diagnosed with SJS/TEN who were admitted to the intensive care unit, of whom 38 received PE and 218 did not. The outcomes of patients who did and did not receive PE within the first 24 h of admission were compared. The risk ratios and 95% confidence intervals of the PE group compared with those of the no-PE group were as follows: in-hospital mortality, 0.983 (0.870-1.155); 30-day mortality rate, 1.057 (0.954-1.217); 50-day mortality rate, 1.023 (0.916-1.186); and length of hospital stay, 1.163 (0.762-1.365). This study does not provide evidence of a benefit of PE in reducing mortality or length of hospital stay in patients with severe SJS/TEN.


Assuntos
Síndrome de Stevens-Johnson , Humanos , Síndrome de Stevens-Johnson/terapia , Síndrome de Stevens-Johnson/diagnóstico , Estudos Retrospectivos , Troca Plasmática , Unidades de Terapia Intensiva , Mortalidade Hospitalar
2.
Ital J Pediatr ; 50(1): 23, 2024 Feb 05.
Artigo em Inglês | MEDLINE | ID: mdl-38317228

RESUMO

BACKGROUND: Acute kidney injury (AKI) in patients with multisystem inflammatory syndrome (MIS), COVID-19 related infection has been increasingly recognized with a paucity of data on AKI incidence, related mortality, and the requirement of renal replacement therapy in children with MIS (MIS-C). METHODS: This is a retrospective study evaluating the prevalence, severity, management and outcomes of AKI in a cohort of Egyptian children with MIS-children (MIS-C) post-COVID infection. Patients were included if they met the criteria for MIS-C based on CDC guidelines. All patients were evaluated for AKI diagnosis and staging according to the Kidney Disease Improving Global Outcomes (KDIGO) criteria. RESULTS: Between March 2021 and June 2023, a total of 655 confirmed COVID-19 cases were admitted and then followed up in our hospital, of whom 138 (21%) were diagnosed with MIS-C. Fifty-one patients developed AKI associated with MIS-C post-COVID infection, 42 of whom were included in the analysis. Thirty-one patients had AKI in a formerly healthy kidney, of whom 51% (16 patients) were classified as KDIGO stage 3, 5 patients needed hemodialysis and 13 needed mechanical ventilation. Higher WBCs count, and serum ferritin on admission were associated with more severe AKI (KDIGO stage 3) (p = 0.04), while multivariate analysis showed high serum ferritin to be independent predictor of more severe AKI (p = 0.02). Two patients (2/31) died during hospital admission, while no residual renal impairment was reported at the time of discharge of patients with previously normal kidney functions. CONCLUSION: More than one-third of patients with MIS-C develop AKI. Avoidance of nephrotoxic drugs, early recognition, and prompt management of AKI, including well-timed commencement of dialysis in MIS-C cases, is associated with favorable outcomes.


Assuntos
Injúria Renal Aguda , COVID-19 , Síndrome de Resposta Inflamatória Sistêmica , Humanos , Estudos Retrospectivos , COVID-19/complicações , COVID-19/epidemiologia , COVID-19/terapia , Injúria Renal Aguda/diagnóstico , Injúria Renal Aguda/epidemiologia , Injúria Renal Aguda/etiologia , Ferritinas , Mortalidade Hospitalar , Fatores de Risco
3.
Crit Care ; 28(1): 42, 2024 Feb 06.
Artigo em Inglês | MEDLINE | ID: mdl-38321472

RESUMO

BACKGROUND: Sepsis guidelines suggest immediate start of resuscitation for patients with quick Sequential Organ Failure Assessment (qSOFA) 2 or 3. However, the interpretation of qSOFA 1 remains controversial. We investigated whether measurements of soluble urokinase plasminogen activator receptor (suPAR) may improve risk detection when qSOFA is 1. METHODS: The study had two parts. At the first part, the combination of suPAR with qSOFA was analyzed in a prospective cohort for early risk detection. At the second part, the double-blind, randomized controlled trial (RCT) SUPERIOR evaluated the efficacy of the suPAR-guided medical intervention. SUPERIOR took place between November 2018 and December 2020. Multivariate stepwise Cox regression was used for the prospective cohort, while univariate and multivariate logistic regression was used for the RCT. Consecutive admissions at the emergency department (ED) with suspected infection, qSOFA 1 and suPAR ≥ 12 ng/mL were allocated to single infusion of placebo or meropenem. The primary endpoint was early deterioration, defined as at least one-point increase of admission Sequential Organ Failure Assessment (SOFA) score the first 24 h. RESULTS: Most of the mortality risk was for patients with qSOFA 2 and 3. Taking the hazard ratio (HR) for death of patients with qSOFA = 1 and suPAR < 12 ng/mL as reference, the HR of qSOFA = 1 and suPAR ≥ 12 ng/mL for 28-day mortality was 2.98 (95% CI 2.11-3.96). The prospective RCT was prematurely ended due to pandemia-related ED re-allocations, with 91 patients enrolled: 47 in the placebo and 44 in the meropenem arm. The primary endpoint was met in 40.4% (n = 19) and 15.9% (n = 7), respectively (difference 24.5% [5.9-40.8]; odds ratio 0.14 [0.04-0.50]). One post hoc analysis showed significant median changes of SOFA score after 72 and 96 h equal to 0 and - 1, respectively. CONCLUSIONS: Combining qSOFA 1 with the biomarker suPAR improves its prognostic performance for unfavorable outcome and can help decision for earlier treatment. Trial registration EU Clinical Trials Register (EudraCT, 2018-001008-13) and Clinical-Trials.gov (NCT03717350). Registered 24 October 2018.


Assuntos
Escores de Disfunção Orgânica , Sepse , Humanos , Receptores de Ativador de Plasminogênio Tipo Uroquinase , Meropeném , Prognóstico , Antibacterianos , Serviço Hospitalar de Emergência , Mortalidade Hospitalar , Curva ROC , Estudos Retrospectivos
4.
Niger J Clin Pract ; 27(1): 62-67, 2024 Jan 01.
Artigo em Inglês | MEDLINE | ID: mdl-38317036

RESUMO

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic has led to a significant increase in global mortality rates. Numerous studies have been conducted to identify the factors associated with mortality in COVID-19 cases. In these studies, overall mortality was evaluated in patients, and no distinction was made as ward or intensive care mortality. AIM: This study aims to determine mortality-related factors in patients who died while in the ward. This could enable us to review the indications for intensive care hospitalization in possible pandemics. MATERIALS AND METHOD: This retrospective study was conducted on a cohort of 237 patients who applied to our institution between January 2020 and December 2021 with the diagnosis of COVID-19. Demographic characteristics, length of stay, type of admission (emergency ward or outpatient clinic), presence of comorbidities, thoracic computerized tomography (CT) findings, and laboratory findings were extracted from the hospital database. The demographic and laboratory results of both deceased and recovered patients were compared. RESULTS: While many demographic and laboratory findings were statistically significant in the initial analysis, multiple logistic regression analysis showed that decreased albumin levels (adjusted OR = 0.23, 95% CI = 0.09 - 0.57), increased troponin (adjusted OR = 1.03, 95% CI = 1.02 - 1.05), and procalcitonin (adjusted OR = 3.46, 95% CI = 1.04 - 11.47) levels and higher partial thromboplastin time (PTT) (adjusted OR = 1.18, 95% CI = 1.09 - 1.28) values, presence of diabetes mellitus (DM) in patients (adjusted OR = 2.18, 95% CI = 1.01 - 4.69, P = 0.047), and admission to hospital from the emergency department (adjusted OR = 5.15, 95% CI = 1.45 - 18.27, P = 0.011) were significantly associated with mortality when adjusted for age. When a predictive model is constructed with these variables, this model predicted mortality statistically significant (AUC = 0.904, 95% CI = 0.856 - 0.938, P < 0.001), with a sensitivity of 77.2% (95% CI, 67.8 - 85), a specificity of 91.2% (95% CI, 85.1 - 95.4), a positive predictive value (PPV) of 86.7% (95% CI, 72 - 85.3), and an negative predictive value (NPV) of 84.4% (95% CI, 79.4 - 89.6). CONCLUSION: In this study, we may predict mortality among COVID-19-diagnosed patients admitted to the ward via this model which has the potential to provide guidance for reconsidering the indications for intensive care unit (ICU) admission.


Assuntos
COVID-19 , Humanos , Estudos Retrospectivos , SARS-CoV-2 , Hospitalização , Comorbidade , Unidades de Terapia Intensiva , Mortalidade Hospitalar
5.
BMC Cardiovasc Disord ; 24(1): 87, 2024 Feb 03.
Artigo em Inglês | MEDLINE | ID: mdl-38310219

RESUMO

BACKGROUND: The Shock Index Creatinine (SIC) scoring is a recently developed tool for risk stratification patients. These updated scoring was already used in ST-Elevation Myocardial Infarction (STEMI) patients. However its utility in predicting outcomes for patients with Acute Coronary Syndrome (ACS) remains unclear. This study aims to evaluate and update the current SIC score to predict in-hospital mortality among patients with ACS. PATIENTS AND METHODS: A retrospective cohort, Single-centered study enrolled 1349 ACS patients aged ≥ 18 years old diagnosed with ACS was conducted between January 2018 to January 2022 who met for inclusion and exclusion criteria. Study subjects were analyzed for in-hospital mortality and evaluated using binary linear regression analysis. The area under the curve (AUC) of SIC score was obtain to predict the sensitivity and specificity. RESULTS: Multivariate analysis showed that SIC score was significantly associated with in-hospital mortality. High SIC score (SIC ≥ 25) had significantly higher in-hospital mortality (p < 0.001) with odds ratio for (95% CIs) were 2.655 (1.6-4.31). Receiver operating characteristics (ROC) curve analysis determine the predictive power of SIC score for in-hospital mortality. SIC had an acceptable predictive value for in-hospital mortality (AUC = 0.789, 95% CI: 0.748-0.831, p < 0.001). The SIC score for sensitivity and specificity were, respectively, 71.5% and 74.4%, with optimal cutoff of SIC ≥ 25. CONCLUSION: SIC had acceptable predictive value for in-hospital mortality in patients with all ACS spectrums. SIC was a useful parameter for predicting in-hospital mortality, particularly with a score ≥ 25. This is the first study to evaluate SIC in all spectrums of ACS.


Assuntos
Síndrome Coronariana Aguda , Humanos , Adolescente , Medição de Risco , Fatores de Risco , Creatinina , Estudos Retrospectivos , Síndrome Coronariana Aguda/diagnóstico , Mortalidade Hospitalar , Prognóstico
6.
J Cardiothorac Surg ; 19(1): 45, 2024 Feb 03.
Artigo em Inglês | MEDLINE | ID: mdl-38310298

RESUMO

BACKGROUND: Different risk factors affect the intensive care unit (ICU) stay after cardiac surgery. This study aimed to evaluate these risk factors. PATIENTS AND METHODS: A retrospective analysis was conducted on clinical, operative, and outcome data from 1070 patients (mean age: 59 ± 9.8 years) who underwent isolated coronary bypass grafting CABG surgery with cardiopulmonary bypass. The outcome variable was prolonged length of stay LOS in the CICU stay (> 3 nights after CABG). RESULTS: Univariate predictors of prolonged ICU stays included a left atrial diameter of > 4 cm (P < 0.001),chronic obstructive airway disease COPD (P = 0.005), hypertension (P = 0.006), diabetes mellitus (P = 0.009), having coronary stents (P = 0.006), B-blockers use before surgery (either because the surgery was done on urgent or emergency basis or the patients have contraindication to B-blockers use) (P = 0.005), receiving blood transfusion during surgery (P = 0.001), post-operative acute kidney injury (AKI) (P < 0.001), prolonged inotropic support of > 12 h (P < 0.001), and ventilation support of > 12 h (P < 0.001), post-operative sepsis or pneumonia (P < 0.001), post-operative stroke/TIA (P = 0.001), sternal wound infection (P = 0.002), and postoperative atrial fibrillation POAF (P < 0.001). Multivariate regression revealed that patients with anleft atrial LA diameter of > 4 cm (AOR 2.531, P = 0.003), patients who did not take B-blockers before surgery (AOR 1.1 P = 0.011), patients on ventilation support > 12 h (AOR 3.931, P = < 0.001), patients who developed pneumonia (AOR 20.363, P = < 0.001), and patients who developed post-operative atrial fibrillation (AOR 30.683, P = < 0.001) were more likely to stay in the ICU for > 3 nights after CABG. CONCLUSION: Our results showed that LA diameter > 4 cm, patients who did not take beta-blockers before surgery, on ventilation support > 12 h, developed pneumonia post-operatively, and developed POAF were more likely to have stays lasting > 3 nights. Efforts should be directed toward reducing these postoperative complications to shorten the duration of CICU stay, thereby reducing costs and improving bed availability.


Assuntos
Fibrilação Atrial , Pneumonia , Humanos , Pessoa de Meia-Idade , Idoso , Estudos Retrospectivos , Fibrilação Atrial/etiologia , Mortalidade Hospitalar , Ponte de Artéria Coronária/efeitos adversos , Fatores de Risco , Unidades de Terapia Intensiva , Complicações Pós-Operatórias/etiologia , Pneumonia/etiologia , Tempo de Internação
7.
Eur Rev Med Pharmacol Sci ; 28(2): 822-828, 2024 Jan.
Artigo em Inglês | MEDLINE | ID: mdl-38305625

RESUMO

OBJECTIVE: The purpose of this study is to investigate the mortality of patients with tuberculosis (TB) who need to be admitted to the intensive care unit (ICU) and to analyze the risk factors for mortality. PATIENTS AND METHODS: A retrospective analysis was conducted to collect clinical data of patients with TB who were hospitalized in the ICU at Hebei Chest Hospital between 2015 and 2020. Subsequent to data collection, a rigorous statistical analysis was conducted. RESULTS: A total of 99 patients with TB were admitted to the ICU of Hebei Chest Hospital from 2015 to 2020. After 28 days, 78 of the 99 eligible participants in this study died, while 21 survived. The mortality rate of patients with TB in the ICU was 78.79%. There was a significant difference in the length of stay in ICU, shock, drug, acute physiology, and chronic health evaluation (APACHE) II, procalcitonin, C-reactive protein, and albumin (p < 0.05). Further analysis indicated that the length of stay in the ICU, shock, APACHE II, and albumin were considered independent risk factors for mortality. CONCLUSIONS: In China, the mortality rate of patients with TB requiring admission to the ICU is very high. In these patients, a prolonged ICU stay, a high APACHE II score, the onset of shock in the ICU, and a low albumin level have a significant impact on the risk of mortality.


Assuntos
Unidades de Terapia Intensiva , Tuberculose , Humanos , Estudos Retrospectivos , Tempo de Internação , Fatores de Risco , Mortalidade Hospitalar , Albuminas , Prognóstico
8.
South Med J ; 117(2): 75-79, 2024 Feb.
Artigo em Inglês | MEDLINE | ID: mdl-38307502

RESUMO

OBJECTIVES: Many epidemiological studies have shown that coronavirus disease 2019 (COVID-19) disproportionately affects males, compared with females, although other studies show that there were no such differences. The aim of the present study was to assess differences in the prevalence of hospitalizations and in-hospital outcomes between the sexes, using a larger administrative database. METHODS: We used the 2020 California State Inpatient Database for this retrospective analysis. International Classification of Diseases, Tenth Revision, Clinical Modification diagnosis code U07.1 was used to identify COVID-19 hospitalizations. These hospitalizations were subsequently stratified by male and female sex. Diagnosis and procedures were identified using the International Classification of Diseases, Tenth Revision, Clinical Modification codes. The primary outcome of the study was hospitalization rate, and secondary outcomes were in-hospital mortality, prolonged length of stay, vasopressor use, mechanical ventilation, and intensive care unit (ICU) admission. RESULTS: There were 95,180 COVID-19 hospitalizations among patients 18 years and older, 52,465 (55.1%) of which were among men and 42,715 (44.9%) were among women. In-hospital mortality (12.4% vs 10.1%), prolonged length of hospital stays (30.6% vs 25.8%), vasopressor use (2.6% vs 1.6%), mechanical ventilation (11.8% vs 8.0%), and ICU admission rates (11.4% versus 7.8%) were significantly higher among male compared with female hospitalizations. Conditional logistic regression analysis showed that the odds of mortality (odds ratio [OR] 1.38, 95% confidence interval [CI] 1.38-1.44), hospital lengths of stay (OR 1.35, 95% CI 1.31-1.39), vasopressor use (OR 1.59, 95% CI 1.51-1.66), mechanical ventilation (OR 1.62, 95% CI 1.47-1.78), and ICU admission rates (OR 1.58, 95% CI 1.51-1.66) were significantly higher among male hospitalizations. CONCLUSION: Our findings show that male sex is an independent and strong risk factor associated with COVID-19 severity.


Assuntos
COVID-19 , Humanos , Masculino , Feminino , COVID-19/epidemiologia , COVID-19/terapia , Estudos Retrospectivos , Fatores Sexuais , Hospitalização , Unidades de Terapia Intensiva , Hospitais , Mortalidade Hospitalar
9.
South Med J ; 117(2): 108-114, 2024 Feb.
Artigo em Inglês | MEDLINE | ID: mdl-38307509

RESUMO

OBJECTIVES: Interhospital transfer (IHT) and in-hospital delirium are both independently associated with increased length of stay (LOS), mortality, and discharge to facility. Our objective was to investigate the joint effects between IHT and the presence of in-hospital delirium on the outcomes of LOS, discharge to a facility, and in-hospital mortality. METHODS: This was a single-center retrospective cohort study of 25,886 adult hospital admissions at a tertiary-care academic medical center. Staged multivariable logistic and linear regression models were used to evaluate the association between IHT status and the outcomes of discharge to a facility, LOS, and mortality while considering the joint impact of delirium. The joint effects of IHT status and delirium were evaluated by categorizing patients into one of four categories: emergency department (ED) admissions without delirium, ED admissions with delirium, IHT admissions without delirium, and IHT admissions with delirium. The primary outcomes were LOS, in-hospital mortality, and discharge disposition. RESULTS: The odds of discharge to a facility were 4.48 times higher in admissions through IHT with delirium when compared with ED admissions without delirium. IHT admissions with delirium had a 1.97-fold (95% confidence interval 1.88-2.06) longer LOS when compared with admission through the ED without delirium. Finally, admissions through IHT with delirium had 3.60 (95% confidence interval 2.36-5.49) times the odds of mortality when compared with admissions through the ED without delirium. CONCLUSIONS: The relationship between IHT and delirium is complex, and patients with IHT combined with in-hospital delirium are at high risk of longer LOS, discharge to a facility, and mortality.


Assuntos
Delírio , Transferência de Pacientes , Adulto , Humanos , Estudos Retrospectivos , Hospitalização , Tempo de Internação , Mortalidade Hospitalar , Delírio/epidemiologia , Serviço Hospitalar de Emergência
10.
Hum Resour Health ; 22(1): 12, 2024 Feb 02.
Artigo em Inglês | MEDLINE | ID: mdl-38308311

RESUMO

BACKGROUND: Quality assessments are being introduced in many countries to improve the quality of care and maintain acceptable quality levels. In South Korea, various quality assessments are being conducted to improve the quality of care, but there is insufficient evidence on intensive care units (ICUs). This study aims to evaluate the impact of ICU quality assessments on the structural indicators in medical institutions and the resulting in-hospital mortality of patients. METHODS: This study used data collected in the 2nd and 3rd ICU quality assessments in 2017 and 2019. A total of 72,879 patients admitted to ICUs were included during this period, with 265 institutions that received both assessments. As for structural indicators, changes in medical personnel and equipment were assessed, and in-hospital deaths were evaluated as patient outcomes. To evaluate the association between medical staff and in-hospital mortality, a generalized estimating equation model was performed considering both hospital and patient variables. RESULTS: Compared to the second quality evaluation, the number of intensivist physicians and experienced nurses increased in the third quality evaluation; however, there was still a gap in the workforce depending on the type of medical institution. Among all ICU patients admitted during the evaluation period, 12.0% of patients died in the hospital. In-hospital mortality decreased at the 3rd assessment, and hospitals employing intensivist physicians were associated with reduced in-hospital deaths. In addition, an increase in the number of experienced nurses was associated with a decrease in in-hospital mortality, while an increase in the nurse-to-bed ratio increased mortality. CONCLUSIONS: ICU quality assessments improved overall structural indicators, but the gap between medical institutions has not improved and interventions are required to bridge this gap. In addition, it is important to maintain skilled medical personnel to bring about better results for patients, and various efforts should be considered. This requires continuous monitoring and further research on long-term effects.


Assuntos
Unidades de Terapia Intensiva , Corpo Clínico , Humanos , Mortalidade Hospitalar , Hospitalização , República da Coreia
11.
BMC Nephrol ; 25(1): 52, 2024 Feb 09.
Artigo em Inglês | MEDLINE | ID: mdl-38336628

RESUMO

BACKGROUND: The aim of this study was to investigate whether bioactive adrenomedullin (bio-ADM) and interleukin-6 (IL-6) are related to acute kidney injury (AKI) and severe illness in COVID-19 patients. METHODS: 153 patients with COVID-19 admitted to the emergency department (ED) were included. Blood samples were collected from each patient at admission. Bio-ADM and IL-6, as well as DPP3 and routinely measured markers were evaluated regarding the endpoints AKI (22/128 hospitalized patients) and a composite endpoint of admission to intensive care unit and/or in-hospital death (n = 26/153 patients). RESULTS: Bio-ADM and IL-6 were significantly elevated in COVID-19 patients with AKI compared to COVID-19 patients without AKI (each p < 0.001). According to ROC analyses IL-6 and bio-ADM had the largest AUC (0.84 and 0.81) regarding the detection of AKI. Furthermore, bio-ADM and IL-6 were significantly elevated in COVID-19 patients reaching the composite endpoint (each p < 0.001). Regarding the composite endpoint ROC analysis showed an AUC of 0.89 for IL-6 and 0.83 for bio-ADM in COVID-19 patients. In the multivariable logistic model bio-ADM and IL-6 presented as independent significant predictors regarding both endpoints AKI and the composite endpoint in COVID-19 patients (as well as creatinine regarding the composite endpoint; each p < 0.05), opposite to leukocytes, C-reactive protein (CRP) and dipeptidyl peptidase 3 (DPP3; each p = n.s.). CONCLUSION: Elevated levels of bio-ADM and IL-6 are associated with AKI and critical illness in patients with COVID-19. Therefore, both biomarkers may be potential tools in risk stratification in COVID-19 patients at presentation in the ED.


Assuntos
Injúria Renal Aguda , Biomarcadores , COVID-19 , Humanos , Injúria Renal Aguda/diagnóstico , Adrenomedulina/análise , Biomarcadores/análise , COVID-19/diagnóstico , Estado Terminal , Mortalidade Hospitalar , Interleucina-6/análise , Estudos Prospectivos
12.
Ren Fail ; 46(1): 2313177, 2024 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-38345055

RESUMO

BACKGROUND: Outcomes among acute kidney injury (AKI) patients are poor in United Kingdom (UK) hospitals, and electronic alerts and care bundles may improve them. We implemented such a system at West Suffolk Hospital (WSH) called the 'AKI order set'. We aimed to assess its impact on all-cause mortality, length of stay (LOS) and renal function among AKI patients, and its utilization. METHODS: Retrospective, single-center cohort study of patients ≥ 18 years old with AKI at WSH, a 430-bed general hospital serving a rural UK population of approximately 280,000. 7243 unique AKI events representing 5728 patients with full data were identified automatically from our electronic health record (EHR) between 02 September 2018 and 1 July 2021 (median age 78 years, 51% male). All-cause mortality, LOS and improvement in AKI stage, demographic and comorbidity data, medications and AKI order set use were automatically collected from the EHR. RESULTS: The AKI order set was used in 9.8% of AKI events and was associated with 28% lower odds of all-cause mortality (multivariable odds ratio [OR] 0.72, 95% confidence interval [CI] 0.57-0.91). Median LOS was longer when the AKI order set was utilized than when not (11.8 versus 8.8 days, p < .001), but was independently associated with improvement in the AKI stage (28.9% versus 8.7%, p < .001; univariable OR 4.25, 95% CI 3.53-5.10, multivariable OR 4.27, 95% CI 3.54-5.14). CONCLUSIONS: AKI order set use led to improvements in all-cause mortality and renal function, but longer LOS, among AKI patients at WSH.


Assuntos
Injúria Renal Aguda , Pacotes de Assistência ao Paciente , Humanos , Masculino , Idoso , Adolescente , Feminino , Estudos de Coortes , Estudos Retrospectivos , Pacientes Internados , Injúria Renal Aguda/epidemiologia , Mortalidade Hospitalar
13.
Clin Cardiol ; 47(2): e24235, 2024 Feb.
Artigo em Inglês | MEDLINE | ID: mdl-38366788

RESUMO

BACKGROUND: Unhoused patients face significant barriers to receiving health care in both the inpatient and outpatient settings. For unhoused patients with heart failure who are in extremis, there is a lack of data regarding in-hospital outcomes and resource utilization in the setting of cardiogenic shock (CS). HYPOTHESIS: Unhoused patients hospitalized with CS have increased mortality and decreased use of invasive therapies as compared to housed patients. METHODS: The National Inpatient Sample (NIS) database was queried from 2011 to 2019 for relevant ICD-9 and ICD-10 codes to identify unhoused patients with an admission diagnosis of CS. Baseline characteristics and in-hospital outcomes between patients were compared. Binary logistic regression was used to adjust outcomes for prespecified and significantly different baseline characteristics (p < .05). RESULTS: We identified a weighted sample of 1 202 583 adult CS hospitalizations, of whom 4510 were unhoused (0.38%). There was no significant difference in the comorbidity adjusted odds of mortality between groups. Unhoused patients had lower odds of receiving mechanical circulatory support, left heart catheterization, percutaneous coronary intervention, or pulmonary artery catheterization. Unhoused patients had higher adjusted odds of infectious complications, undergoing intubation, or requiring restraints. CONCLUSIONS: These data suggest that, despite having fewer traditional comorbidities, unhoused patients have similar mortality and less access to more aggressive care than housed patients. Unhoused patients may experience under-diuresis, or more conservative care strategies, as evidenced by the higher intubation rate in this population. Further studies are needed to elucidate long-term outcomes and investigate systemic methods to ameliorate barriers to care in unhoused populations.


Assuntos
Insuficiência Cardíaca , Choque Cardiogênico , Adulto , Humanos , Estados Unidos/epidemiologia , Choque Cardiogênico/diagnóstico , Choque Cardiogênico/epidemiologia , Choque Cardiogênico/terapia , Pacientes Internados , Insuficiência Cardíaca/epidemiologia , Comorbidade , Hospitais , Mortalidade Hospitalar , Estudos Retrospectivos
14.
Ren Fail ; 46(1): 2316267, 2024 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-38369749

RESUMO

OBJECTIVES: This study aims to develop and validate a prediction model in-hospital mortality in critically ill patients with sepsis-associated acute kidney injury (SA-AKI) based on machine learning algorithms. METHODS: Patients who met the criteria for inclusion were identified in the Medical Information Mart for Intensive Care-IV (MIMIC-IV) database and divided according to the validation (n = 2440) and development (n = 9756, 80%) queues. Ensemble stepwise feature selection method was used to screen for effective features. The prediction models of short-term mortality were developed by seven machine learning algorithms. Ten-fold cross-validation was used to verify the performance of the algorithm in the development queue. The area under the receiver operating characteristic curve (ROC-AUC) was used to evaluate the differentiation accuracy and performance of the prediction model in the validation queue. The best-performing model was interpreted by Shapley additive explanations (SHAP). RESULTS: A total of 12,196 patients were enrolled in this study. Eleven variables were finally chosen to develop the prediction model. The AUC of the random forest (RF) model was the highest value both in the Ten-fold cross-validation and evaluation (AUC: 0.798, 95% CI: 0.774-0.821). According to the SHAP plots, old age, low Glasgow Coma Scale (GCS) score, high AKI stage, reduced urine output, high Simplified Acute Physiology Score (SAPS II), high respiratory rate, low temperature, low absolute lymphocyte count, high creatinine level, dysnatremia, and low body mass index (BMI) increased the risk of poor prognosis. CONCLUSIONS: The RF model developed in this study is a good predictor of in-hospital mortality for patients with SA-AKI in the intensive care unit (ICU), which may have potential applications in mortality prediction.


Assuntos
Injúria Renal Aguda , Sepse , Humanos , Mortalidade Hospitalar , Estado Terminal , Injúria Renal Aguda/etiologia , Sepse/complicações , Unidades de Terapia Intensiva , Aprendizado de Máquina
15.
BMC Med Inform Decis Mak ; 24(1): 34, 2024 Feb 02.
Artigo em Inglês | MEDLINE | ID: mdl-38308256

RESUMO

BACKGROUND: Concept drift and covariate shift lead to a degradation of machine learning (ML) models. The objective of our study was to characterize sudden data drift as caused by the COVID pandemic. Furthermore, we investigated the suitability of certain methods in model training to prevent model degradation caused by data drift. METHODS: We trained different ML models with the H2O AutoML method on a dataset comprising 102,666 cases of surgical patients collected in the years 2014-2019 to predict postoperative mortality using preoperatively available data. Models applied were Generalized Linear Model with regularization, Default Random Forest, Gradient Boosting Machine, eXtreme Gradient Boosting, Deep Learning and Stacked Ensembles comprising all base models. Further, we modified the original models by applying three different methods when training on the original pre-pandemic dataset: (Rahmani K, et al, Int J Med Inform 173:104930, 2023) we weighted older data weaker, (Morger A, et al, Sci Rep 12:7244, 2022) used only the most recent data for model training and (Dilmegani C, 2023) performed a z-transformation of the numerical input parameters. Afterwards, we tested model performance on a pre-pandemic and an in-pandemic data set not used in the training process, and analysed common features. RESULTS: The models produced showed excellent areas under receiver-operating characteristic and acceptable precision-recall curves when tested on a dataset from January-March 2020, but significant degradation when tested on a dataset collected in the first wave of the COVID pandemic from April-May 2020. When comparing the probability distributions of the input parameters, significant differences between pre-pandemic and in-pandemic data were found. The endpoint of our models, in-hospital mortality after surgery, did not differ significantly between pre- and in-pandemic data and was about 1% in each case. However, the models varied considerably in the composition of their input parameters. None of our applied modifications prevented a loss of performance, although very different models emerged from it, using a large variety of parameters. CONCLUSIONS: Our results show that none of our tested easy-to-implement measures in model training can prevent deterioration in the case of sudden external events. Therefore, we conclude that, in the presence of concept drift and covariate shift, close monitoring and critical review of model predictions are necessary.


Assuntos
COVID-19 , Pandemias , Humanos , COVID-19/epidemiologia , Algoritmos , Mortalidade Hospitalar , Aprendizado de Máquina
16.
BMC Infect Dis ; 24(1): 213, 2024 Feb 16.
Artigo em Inglês | MEDLINE | ID: mdl-38365608

RESUMO

BACKGROUND: The early identification of sepsis presenting a high risk of deterioration is a daily challenge to optimise patient pathway. This is all the most crucial in the prehospital setting to optimize triage and admission into the appropriate unit: emergency department (ED) or intensive care unit (ICU). We report the association between the prehospital National Early Warning Score 2 (NEWS-2) and in-hospital, 30 and 90-day mortality of SS patients cared for in the pre-hospital setting by a mobile ICU (MICU). METHODS: Septic shock (SS) patients cared for by a MICU between 2016, April 6th and 2021 December 31st were included in this retrospective cohort study. The NEWS-2 is based on 6 physiological variables (blood pressure, heart rate, respiratory rate, temperature, oxygen saturation prior oxygen supplementation, and level of consciousness) and ranges from 0 to 20. The Inverse Probability Treatment Weighting (IPTW) propensity method was applied to assess the association with in-hospital, 30 and 90-day mortality. A NEWS-2 ≥ 7 threshold was chosen for increased clinical deterioration risk definition and usefulness in clinical practice based on previous reports. RESULTS: Data from 530 SS patients requiring MICU intervention in the pre-hospital setting were analysed. The mean age was 69 ± 15 years and presumed origin of sepsis was pulmonary (43%), digestive (25%) or urinary (17%) infection. In-hospital mortality rate was 33%, 30 and 90-day mortality were respectively 31% and 35%. A prehospital NEWS-2 ≥ 7 is associated with an increase in-hospital, 30 and 90-day mortality with respective RRa = 2.34 [1.39-3.95], 2.08 [1.33-3.25] and 2.22 [1.38-3.59]. Calibration statistic values for in-hospital mortality, 30-day and 90-day mortality were 0.54; 0.55 and 0.53 respectively. CONCLUSION: A prehospital NEWS-2 ≥ 7 is associated with an increase in in-hospital, 30 and 90-day mortality of septic shock patients cared for by a MICU in the prehospital setting. Prospective studies are needed to confirm the usefulness of NEWS-2 to improve the prehospital triage and orientation to the adequate facility of sepsis.


Assuntos
Serviços Médicos de Emergência , Sepse , Choque Séptico , Humanos , Pessoa de Meia-Idade , Idoso , Idoso de 80 Anos ou mais , Choque Séptico/diagnóstico , Estudos Retrospectivos , Sepse/diagnóstico , Triagem/métodos , Unidades de Terapia Intensiva , Mortalidade Hospitalar , Hospitais , Serviços Médicos de Emergência/métodos
17.
Sci Rep ; 14(1): 3797, 2024 02 15.
Artigo em Inglês | MEDLINE | ID: mdl-38360953

RESUMO

This study aimed to investigate the relationship between platelet count (PC) and mortality in patients with hemorrhagic stroke (HS). The research reviewed data from 10,466 patients hospitalized in 208 hospitals in the United States from January 1, 2014, to December 31, 2015. Of these, 3262 HS patients were included in the primary analysis for those admitted to the intensive care unit (ICU). The average age of these patients was 67.05 years, with 52.79% being male. The median PC was (221.67 ± 73.78) × 109/L. Multivariate logistic regression analysis revealed that PC was a protective factor for mortality in HS patients (OR = 0.98, 95% CI 0.97-1.00, P < 0.05). Additionally, a non-linear association between PC and mortality in HS patients was found using a generalized additive model (GAM) and smooth curve fitting (penalty spline method). For the first time, a recursive algorithm identified the inflection point of platelet count as 194 × 109/L. On the left side of the inflection point, for every increase of 10 units in platelet count, the mortality rate of HS patients decreases by 10%. The study demonstrates a non-linear relationship between PC and the risk of mortality in HS patients. A platelet counts higher than the inflection point (194 × 109/L) may be a significant intervention to reduce mortality in HS patients.


Assuntos
Acidente Vascular Cerebral Hemorrágico , Trombocitose , Humanos , Masculino , Idoso , Feminino , Contagem de Plaquetas , Estudos Retrospectivos , Hospitais , Prognóstico , Mortalidade Hospitalar
18.
BMC Public Health ; 24(1): 509, 2024 Feb 17.
Artigo em Inglês | MEDLINE | ID: mdl-38368398

RESUMO

BACKGROUND: The number and proportion of the elderly population have been continuously increasing in China, leading to the elevated prevalence of chronic diseases and multimorbidity, which ultimately brings heavy burden to society and families. Meanwhile, the status of multimorbidity tends to be more complex in elderly inpatients than community population. In view of the above concerns, this study was designed to investigate the health status of elderly inpatients by analyzing clinical data in Chinese People's Liberation Army (PLA) General Hospital from 2008 to 2019, including the constitution of common diseases, comorbidities, the status of multimorbidity, in-hospital death and polypharmacy among elderly inpatients, so as to better understand the diseases spectrum and multimorbidity of elderly inpatients and also to provide supporting evidence for targeted management of chronic diseases in the elderly. METHODS: A clinical inpatients database was set up by collecting medical records of elderly inpatients from 2008 to 2019 in Chinese PLA General Hospital, focusing on diseases spectrum and characteristics of elderly inpatients. In this study, we collected data of inpatients aged ≥ 65 years old, and further analyzed the constitution of diseases, multimorbidity rates and mortality causes in the past decade. In addition, the prescriptions were also analyzed to investigate the status of polypharmacy in elderly inpatients. RESULTS: A total of 210,169 elderly patients were hospitalized from January 1st, 2008 to December 31st, 2019. The corresponding number of hospitalizations was 290,833. The average age of the study population was 72.67 years old. Of the total population, 73,493 elderly patients were re-admitted within one year, with the re-hospitalization rate of 25.27%. Malignant tumor, hypertension, ischemic heart disease, diabetes mellitus and cerebrovascular disease were the top 5 diseases. Among the study population, the number of patients with two or more long-term health conditions was 267,259, accounting for 91.89%, with an average of 4.68 diseases. In addition, the average number of medications taken by the study population was 5.4, among which, the proportion of patients taking more than 5 types of medications accounted for 55.42%. CONCLUSIONS: By analyzing the constitution of diseases and multimorbidity, we found that multimorbidity has turned out to be a prominent problem in elderly inpatients, greatly affecting the process of healthy aging and increasing the burden on families and society. Therefore, multidisciplinary treatment should be strengthened to make reasonable preventive and therapeutic strategies to improve the life quality of the elderly. Meanwhile, more attention should be paid to reasonable medications for elderly patients with multimorbidity to avoid preventable side effects caused by irrational medication therapy.


Assuntos
População do Leste Asiático , Pacientes Internados , Multimorbidade , Humanos , Idoso , Mortalidade Hospitalar , China/epidemiologia , Doença Crônica
19.
J Appl Res Intellect Disabil ; 37(2): e13187, 2024 Mar.
Artigo em Inglês | MEDLINE | ID: mdl-38369309

RESUMO

OBJECTIVES: Characterise the circumstances associated with death during admission of adults with Down syndrome (DS) and to identify predictors of mortality. PATIENTS AND METHODS: Observational study based on data on all emergent admissions of adults with DS to hospitals of the Spanish National Health System between 1997 and 2014. We analysed epidemiological and clinical variables. RESULTS: We analysed admissions of 11,594 adults with DS, mean age 47 years. 1715 patients died (15%), being the highest mortality (35%) in individuals aged 50-59. A past medical history of cerebrovascular disease (aOR 2.95 [2.30-3.77]) or cancer (aOR 2.79 [2.07-3.75]), gross aspiration's admission (aOR 2.59 [2.20-3.04]), immobility (aOR 2.31 [1.46-3-62]), and readmission within 30 days (aOR 2.43 [2.06-2.86]) were identified as predictors of mortality. CONCLUSIONS: Adults with DS have a high in-hospital mortality rate. The main predictors of death were cerebrovascular disease, cancer, early readmission, and conditions commonly associated with advanced dementia.


Assuntos
Transtornos Cerebrovasculares , Síndrome de Down , Deficiência Intelectual , Neoplasias , Adulto , Humanos , Pessoa de Meia-Idade , Síndrome de Down/epidemiologia , Hospitalização , Transtornos Cerebrovasculares/epidemiologia , Estudos Retrospectivos , Mortalidade Hospitalar
20.
BMJ Open ; 14(2): e072784, 2024 Feb 14.
Artigo em Inglês | MEDLINE | ID: mdl-38355186

RESUMO

BACKGROUND: A paucity of predictive models assessing risk factors for COVID-19 mortality that extend beyond age and gender in Latino population is evident in the current academic literature. OBJECTIVES: To determine the associated factors with mortality, in addition to age and sex during the first year of the pandemic. DESIGN: A case-control study with retrospective revision of clinical and paraclinical variables by systematic revision of clinical records was conducted. Multiple imputations by chained equation were implemented to account for missing variables. Classification and regression trees (CART) were estimated to evaluate the interaction of associated factors on admission and their role in predicting mortality during hospitalisation. No intervention was performed. SETTING: High-complexity centre above 2640 m above sea level (masl) in Colombia. PARTICIPANTS: A population sample of 564 patients admitted to the hospital with confirmed COVID-19 by PCR. Deceased patients (n=282) and a control group (n=282), matched by age, sex and month of admission, were included. MAIN OUTCOME MEASURE: Mortality during hospitalisation. MAIN RESULTS: After the imputation of datasets, CART analysis estimated 11 clinical profiles based on respiratory distress, haemoglobin, lactate dehydrogenase, partial pressure of oxygen to inspired partial pressure of oxygen ratio, chronic kidney disease, ferritin, creatinine and leucocytes on admission. The accuracy model for prediction was 80.4% (95% CI 71.8% to 87.3%), with an area under the curve of 78.8% (95% CI 69.63% to 87.93%). CONCLUSIONS: This study discloses new interactions between clinical and paraclinical features beyond age and sex influencing mortality in COVID-19 patients. Furthermore, the predictive model could offer new clues for the personalised management of this condition in clinical settings.


Assuntos
COVID-19 , Humanos , Estudos de Casos e Controles , SARS-CoV-2 , Estudos Retrospectivos , Oxigênio , Mortalidade Hospitalar
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