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1.
Telemed J E Health ; 2024 Jun 28.
Article in English | MEDLINE | ID: mdl-38938204

ABSTRACT

Objective: To determine patients' perspectives on home monitoring at emergency department (ED) presentation and shortly after admission and compare these with their physicians' perspectives. Methods: Forty Dutch hospitals participated in this prospective flash mob study. Adult patients with acute medical conditions, treated by internal medicine specialties, presenting at the ED or admitted at the admission ward within the previous 24 h were included. The primary outcome was the proportion of patients who were able and willing to undergo home monitoring. Secondary outcomes included identifying barriers to home monitoring, patient's prerequisites, and assessing the agreement between the perspectives of patients and treating physicians. Results: On February 2, 2023, in total 665 patients [median age 69 (interquartile range: 55-78) years; 95.5% community dwelling; 29.3% Modified Early Warning Score ≥3; 29.5% clinical frailty score ≥5] were included. In total, 19.6% of ED patients were admitted and 26% of ward patients preferred home monitoring as continuation of care. Guaranteed readmission (87.8%), ability to contact the hospital 24/7 (77.3%), and a family caregiver at home (55.7%) were the most often reported prerequisites. Barriers for home monitoring were feeling too severely ill (78.8%) and inability to receive the required treatment at home (64.4%). The agreement between patients and physicians was fair (Cohens kappa coefficient 0.26). Conclusions: A substantial proportion of acutely ill patients stated that they were willing and able to be monitored at home. Guaranteed readmission, availability of a treatment team (24/7), and a home support system are needed for successful implementation of home monitoring in acute care.

2.
PLoS One ; 16(12): e0260942, 2021.
Article in English | MEDLINE | ID: mdl-34879093

ABSTRACT

BACKGROUND: Acute kidney injury (AKI) is a major health problem associated with considerable mortality and morbidity. Studies on clinical outcomes and mortality of AKI in the emergency department are scarce. The aim of this study is to assess incidence, mortality and renal outcomes after AKI in patients with suspected infection at the emergency department. METHODS: We used data from the SPACE-cohort (SePsis in the ACutely ill patients in the Emergency department), which included consecutive patients that presented to the emergency department of the internal medicine with suspected infection. Hazard ratios (HR) were assessed using Cox regression to investigate the association between AKI, 30-days mortality and renal function decline up to 1 year after AKI. Survival in patients with and without AKI was assessed using Kaplan-Meier analyses. RESULTS: Of the 3105 patients in the SPACE-cohort, we included 1716 patients who fulfilled the inclusion criteria. Of these patients, 10.8% had an AKI episode. Mortality was 12.4% for the AKI group and 4.2% for the non-AKI patients. The adjusted HR for all-cause mortality at 30-days in AKI patients was 2.8 (95% CI 1.7-4.8). Moreover, the cumulative incidence of renal function decline was 69.8% for AKI patients and 39.3% for non-AKI patients. Patients with an episode of AKI had higher risk of developing renal function decline (adjusted HR 3.3, 95% CI 2.4-4.5) at one year after initial AKI-episode at the emergency department. CONCLUSION: Acute kidney injury is common in patients with suspected infection in the emergency department and is significantly associated with 30-days mortality and renal function decline one year after AKI.


Subject(s)
Acute Kidney Injury/mortality , Emergency Service, Hospital/statistics & numerical data , Infections/complications , Mortality/trends , Acute Kidney Injury/epidemiology , Acute Kidney Injury/etiology , Acute Kidney Injury/pathology , Aged , Case-Control Studies , Cohort Studies , Female , Humans , Incidence , Male , Middle Aged , Netherlands/epidemiology , Prognosis , Risk Factors , Survival Rate
3.
BMC Nephrol ; 22(1): 371, 2021 11 08.
Article in English | MEDLINE | ID: mdl-34749693

ABSTRACT

BACKGROUND: Acute kidney injury (AKI) incidence is increasing, however AKI is often missed at the emergency department (ED). AKI diagnosis depends on changes in kidney function by comparing a serum creatinine (SCr) measurement to a baseline value. However, it remains unclear to what extent different baseline values may affect AKI diagnosis at ED. METHODS: Routine care data from ED visits between 2012 and 2019 were extracted from the Utrecht Patient Oriented Database. We evaluated baseline definitions with criteria from the RIFLE, AKIN and KDIGO guidelines. We evaluated four baseline SCr definitions (lowest, most recent, mean, median), as well as five different time windows (up to 365 days prior to ED visit) to select a baseline and compared this to the first measured SCr at ED. As an outcome, we assessed AKI prevalence at ED. RESULTS: We included 47,373 ED visits with both SCr-ED and SCr-BL available. Of these, 46,100 visits had a SCr-BL from the - 365/- 7 days time window. Apart from the lowest value, AKI prevalence remained similar for the other definitions when varying the time window. The lowest value with the - 365/- 7 time window resulted in the highest prevalence (21.4%). Importantly, applying the guidelines with all criteria resulted in major differences in prevalence ranging from 5.9 to 24.0%. CONCLUSIONS: AKI prevalence varies with the use of different baseline definitions in ED patients. Clinicians, as well as researchers and developers of automatic diagnostic tools should take these considerations into account when aiming to diagnose AKI in clinical and research settings.


Subject(s)
Acute Kidney Injury/diagnosis , Creatinine/blood , Emergency Service, Hospital , Practice Guidelines as Topic/standards , Acute Kidney Injury/blood , Acute Kidney Injury/epidemiology , Biomarkers/blood , Female , Glomerular Filtration Rate , Humans , Male , Middle Aged , Netherlands/epidemiology , Prevalence , Retrospective Studies
4.
BMJ Open ; 11(3): e046518, 2021 03 11.
Article in English | MEDLINE | ID: mdl-33707275

ABSTRACT

OBJECTIVE: The quick Sequential Organ Failure Assessment (qSOFA) is developed as a tool to identify patients with infection with increased risk of dying from sepsis in non-intensive care unit settings, like the emergency department (ED). An abnormal score may trigger the initiation of appropriate therapy to reduce that risk. This study assesses the risk of a treatment paradox: the effect of a strong predictor for mortality will be reduced if that predictor also acts as a trigger for initiating treatment to prevent mortality. DESIGN: Retrospective analysis on data from a large observational cohort. SETTING: ED of a tertiary medical centre in the Netherlands. PARTICIPANTS: 3178 consecutive patients with suspected infection. PRIMARY OUTCOME: To evaluate the existence of a treatment paradox by determining the influence of baseline qSOFA on treatment decisions within the first 24 hours after admission. RESULTS: 226 (7.1%) had a qSOFA ≥2, of which 51 (22.6%) died within 30 days. Area under receiver operating characteristics of qSOFA for 30-day mortality was 0.68 (95% CI 0.61 to 0.75). Patients with a qSOFA ≥2 had higher odds of receiving any form of intensive therapy (OR 11.4 (95% CI 7.5 to 17.1)), such as aggressive fluid resuscitation (OR 8.8 95% CI 6.6 to 11.8), fast antibiotic administration (OR 8.5, 95% CI 5.7 to 12.3) or vasopressic therapy (OR 17.3, 95% CI 11.2 to 26.8), compared with patients with qSOFA <2. CONCLUSION: In ED patients with suspected infection, a qSOFA ≥2 was associated with more intensive treatment. This could lead to inadequate prediction of 30-day mortality due to the presence of a treatment paradox. TRIAL REGISTRATION NUMBER: 6916.


Subject(s)
Organ Dysfunction Scores , Sepsis , Emergency Service, Hospital , Hospital Mortality , Humans , Intensive Care Units , Netherlands/epidemiology , Prognosis , ROC Curve , Retrospective Studies , Sepsis/therapy
5.
BMC Emerg Med ; 19(1): 76, 2019 12 03.
Article in English | MEDLINE | ID: mdl-31795936

ABSTRACT

BACKGROUND: Sepsis is a potential life threatening dysregulated immune response to an infection, which can result in multi-organ failure and death. Unfortunately, good prognostic markers are lacking in patients with suspected infection to identify those at risk. Red blood cell distribution width (RDW) is a common and inexpensive hematologic laboratory measurement associated with adverse prognosis in multiple diseases. The aim of this study was to determine the prognostic value of RDW for mortality and early clinical deterioration in patients with a suspected infection in the emergency department. METHODS: In this single center prospective observational cohort study, consecutive patients with suspected infection presenting for internal medicine in the emergency department between September 2016 and March 2018 were included. For prognostic validation of bedside sepsis scores and RDW receiver operating characteristics were generated. Association between RDW and mortality and ICU admission was analyzed univariate and in a multivariate logistic regression model. RESULTS: 1046 patients were included. In multivariate analyses, RDW was significantly associated with 30-day mortality (OR 1.15, 95% CI: 1.04-1.28) and early clinical deterioration (OR 1.09, 95% CI: 1.00-1.18). For 30-day mortality RDW had an AUROC of 0.66 (95% CI 0.59-0.72). Optimal cut-off value for RDW 2 was 12.95%. For early clinical deterioration RDW had an AUROC of 0.59 (95% CI 0.54-0.63) with an optimal cut-off value of 14.48%. CONCLUSIONS: RDW was found to be a significant independent prognostic factor of 30-day mortality and early clinical deterioration in patients with suspected infection.. Therefore it can be a used as an extra marker besides bedside sepsis scores in identifying patients at risk for worse outcome in patients with suspected infection.


Subject(s)
Emergency Service, Hospital/statistics & numerical data , Erythrocyte Indices , Sepsis/blood , Sepsis/mortality , Age Factors , Aged , Aged, 80 and over , Biomarkers , Clinical Deterioration , Comorbidity , Female , Humans , Logistic Models , Male , Middle Aged , Prognosis , ROC Curve
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