Padua prediction score may be inappropriate for VTE risk assessment in hospitalized patients with acute respiratory conditions: A Chinese single-center cohort study☆
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PROVIDER: S-EPMC10684791 | biostudies-literature | 2023 Nov
REPOSITORIES: biostudies-literature
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Project description:Objectives: To assess the external validity of the Padua and International Medical Prevention Registry on Venous Thromboembolism (IMPROVE-VTE) risk assessment models (RAMs) for predicting venous thromboembolism (VTE) within 90 days of admission among hospitalized medical patients in Japan. Materials and Methods: A university hospital cohort comprising 3876 consecutive patients ages ≥15 years admitted to a general internal medicine department between July 2016 and July 2021 was retrospectively analyzed using data extracted from their medical records. Results: A total of 74 VTE events (1.9%), including six cases with pulmonary embolism (0.2%), were observed. Both RAMs had poor discriminative performance (C-index=0.64 for both) and generally underestimated VTE risks. However, recalibrating the IMPROVE-VTE RAM to update the baseline hazard improved the calibration (calibration slope=1.01). Decision curve analysis showed that a management strategy with no prediction model outperformed a clinical management strategy guided by the originally proposed RAMs. Conclusions: Both RAMs require an update to function in this particular setting. Further studies with a larger-sized cohort, including re-estimation of the individual regression coefficients with additional, more context-specific predictors, are needed to create a useful model that would help advance risk-oriented VTE prevention programs.
| S-EPMC10064295 | biostudies-literature
Project description:ObjectiveThe Lung Injury Prediction Score identifies patients at risk for acute respiratory distress syndrome in the emergency department, but it has not been validated in non-emergency department hospitalized patients. We aimed to evaluate whether Lung Injury Prediction Score identifies non-emergency department hospitalized patients at risk of developing acute respiratory distress syndrome at the time of critical care contact.DesignRetrospective study.SettingFive academic medical centers.PatientsNine hundred consecutive patients (≥ 18 yr old) with at least one acute respiratory distress syndrome risk factor at the time of critical care contact.InterventionsNone.Measurements and main resultsLung Injury Prediction Score was calculated using the worst values within the 12 hours before initial critical care contact. Patients with acute respiratory distress syndrome at the time of initial contact were excluded. Acute respiratory distress syndrome developed in 124 patients (13.7%) a median of 2 days (interquartile range, 2-3) after critical care contact. Hospital mortality was 22% and was significantly higher in acute respiratory distress syndrome than non-acute respiratory distress syndrome patients (48% vs 18%; p < 0.001). Increasing Lung Injury Prediction Score was significantly associated with development of acute respiratory distress syndrome (odds ratio, 1.31; 95% CI, 1.21-1.42) and the composite outcome of acute respiratory distress syndrome or death (odds ratio, 1.26; 95% CI, 1.18-1.34). A Lung Injury Prediction Score greater than or equal to 4 was associated with the development of acute respiratory distress syndrome (odds ratio, 4.17; 95% CI, 2.26-7.72), composite outcome of acute respiratory distress syndrome or death (odds ratio, 2.43; 95% CI, 1.68-3.49), and acute respiratory distress syndrome after accounting for the competing risk of death (hazard ratio, 3.71; 95% CI, 2.05-6.72). For acute respiratory distress syndrome development, the Lung Injury Prediction Score has an area under the receiver operating characteristic curve of 0.70 and a Lung Injury Prediction Score greater than or equal to 4 has 90% sensitivity (misses only 10% of acute respiratory distress syndrome cases), 31% specificity, 17% positive predictive value, and 95% negative predictive value.ConclusionsIn a cohort of non-emergency department hospitalized patients, the Lung Injury Prediction Score and Lung Injury Prediction Score greater than or equal to 4 can identify patients at increased risk of acute respiratory distress syndrome and/or death at the time of critical care contact but it does not perform as well as in the original emergency department cohort.
| S-EPMC5431079 | biostudies-literature
Project description:BackgroundVenous thromboembolism (VTE) is considered a preventable cause of mortality. The evidence for the benefit of VTE prophylaxis in acute medical patients is non-conclusive. Meta-analysis of RCTs failed to demonstrate reduction of all-cause mortality, while showing higher risk of bleeding. The Israeli Ministry of Health has instructed to assess all acute medical patients for the risk for VTE using the Padua Prediction Score, without mandating prophylaxis.AimTo evaluate the effect of filling the Padua score on clinical outcomes and VTE prophylaxis rates.MethodsRetrospective Study was performed in Israel during the years 2014-2017. The participants were divided to Padua compliance vs non-compliance group. Primary outcome: 30-day mortality. Secondary outcomes: 90-day incidence of VTE and suspected major bleeding. A propensity-weighted logistic multiple regression was performed.Results18,890 patients were included in the study. The fulfillment of the Padua score was associated with an increased use of VTE prophylaxis, OR 1.66 (95% CI 1.49-1.84). However, there was no reduction of mortality or VTE events, OR 1.13 (95% CI 0.97-1.31) and OR 1.22 (95% CI 0.79-1.8) respectively. Hospitalizations related to hemoglobin decrease were not statistically different between the two groups.ConclusionsPadua score for the assessment of VTE risk in medical wards was associated with higher administration of pharmacological prophylaxis without reduction in VTE or mortality rate. Its usage should be reassessed as a performance measure.
| S-EPMC10849389 | biostudies-literature
Project description:BackgroundSeveral nephrometry scores have been proposed and applied in the adult population. We previously established a novel model to predict the feasibility of nephron-sparing surgery (NSS) in pediatric bilateral Wilms tumor (WT) patients. This study aimed to evaluate whether our model had better predictive performance compared to other scores.MethodsData from 58 patients during the period 2008-2019 were retrospectively reviewed. Nephrometry scores, including RENAL [radius (R), exophytic/endophytic (E), nearness to collecting system/sinus (N), anterior/posterior (A), and location relative to polar lines (L)], PADUA (preoperative aspects and dimensions used for an anatomical classification), and SPARE (Simplified PADUA REnal) scores, were calculated. A senior radiologist and a senior urologist independently reviewed computed tomography (CT) or magnetic resonance scans while blinded to clinical outcomes. A urology resident re-evaluated the imaging scans using our RSR [relation with collecting system (R), size (S), remaining renal parenchyma (R)] model. The areas under the curve (AUCs) were compared. Inter-rater reliability of the RSR model was assessed using kappa statistics and intraclass correlation coefficient (ICC).ResultsThe AUC was 0.982 for the RSR model, which outperformed the other three scores. Decision curve analysis (DCA) showed the same results. Compared to the RENAL score, the RSR model showed significant reclassification ability [0.573 (95% confidence interval: 0.161, 1.204), P=0.03]. Significant overall discrimination ability was found with RSR compared to the other three scores (P<0.001). The ICC value was 0.871 for S, and the kappa values of the two R indicators were 0.806 and 0.777, respectively. A web-based calculator was constructed.ConclusionsThe RSR model's predictive performance outperforms the established adult nephrometry scores while offering overall fair interobserver agreement. A web-based calculator could help to make personalized treatment decisions.
| S-EPMC11651945 | biostudies-literature
Project description:IntroductionVenous thromboembolism is a major cause of mortality and morbidity among hospitalized patients and thromboprophylaxis is one of the key strategies to reduce such events. We aimed to assess venous thromboembolism risk using Padua prediction score, thromboprophylaxis practice, and outcomes in hospitalized medical patients at Tibebe Ghion Specialized Hospital, Bahir Dar, Ethiopia.MethodsA cross-sectional study was conducted among 219 patients admitted to Tibebe Ghion Specialized Hospital from 1 December 2018 to 31 May 2019. Data were collected from patients' medical records using a pre-tested data abstraction format to collect patients' clinical information and venous thromboembolism risk using the Padua prediction score. We used Statistical Package for the Social Sciences version 26 for data analysis. Descriptive statistics was used to summarize the findings, and binary logistic regression analysis was used to assess association between the variables of interest.ResultsReduced mobility, recent trauma and/or surgery, heart and/or respiratory failure, and active cancer were the frequently identified venous thromboembolism risk factors. Based on Padua prediction score, 48.4% of patients were at high risk of developing venous thromboembolism. The venous thromboembolism prophylaxis was given only for 55 (25.1%) patients and 15 of them were at low risk of developing venous thromboembolism (<4 Padua score) and were ineligible for thromboprophylaxis. Fifteen (6.84%) patients developed venous thromboembolism events during their stay at the hospital and 80% of them were from high risk group. The odds of females to develop venous thromboembolism were more than 14 times higher (adjusted odds ratio = 14.51; 95% confidence interval: 2.52-83.39, p = 0.003) than males. Reduced mobility (adjusted odds ratio = 10.00; 95% confidence interval: 1.70-58.70), <1 month trauma and/or surgery (adjusted odds ratio = 18.93; 95% confidence interval: 2.30-155.56), active cancer (adjusted odds ratio = 6.00; 95% confidence interval: 1.05-34.27), chronic kidney diseases (adjusted odds ratio = 61.790; 95% confidence interval: 2.627-1453.602), and hypertension (adjusted odds ratio = 7.270; 95% confidence interval: 1.105-47.835) were significantly associated with the risk of developing venous thromboembolism.ConclusionNearly half of the patients were at risk of developing venous thromboembolism. Underutilization of thromboprophylaxis and inappropriate use of prophylaxis were commonly seen in Tibebe Ghion Specialized Hospital.
| S-EPMC8864278 | biostudies-literature
Project description:IntroductionVTE-BLEED is a validated score for identification of patients at increased risk of major bleeding during extended anticoagulation for venous thromboembolism (VTE). It is unknown whether VTE-BLEED high-risk patients also have an increased risk for recurrent VTE, which would limit the potential usefulness of the score.MethodsThis was a post hoc analysis of the randomized, double-blind, placebo-controlled PADIS-PE trial that randomized patients with a first unprovoked pulmonary embolism (PE) initially treated during 6 months to receive an additional 18-month of warfarin vs. placebo. The primary outcome of this analysis was recurrent VTE during 2-year follow-up after anticoagulant discontinuation, that is, after the initial 6-month treatment in the placebo arm and after 24 months of anticoagulation in the active treatment arm. This rate, adjusted for study treatment allocation, was compared between patients in the high- vs. low-risk VTE-BLEED group.ResultsIn complete case analysis (n = 308; 82.4% of total population), 89 (28.9%) patients were classified as high risk; 44 VTE events occurred after anticoagulant discontinuation during 668 patient-years. The cumulative incidence of recurrent VTE was 16.4% (95% confidence interval [CI], 10.0%-26.1%; 14 events) and 14.6% (95% CI, 10.4%-20.3%; 30 events) in the high-risk and low-risk VTE-BLEED groups, respectively, for an adjusted hazard ratio of 1.16 (95% CI, 0.62-2.19).ConclusionIn this study, patients with unprovoked PE classified at high risk of major bleeding by VTE-BLEED did not have a higher incidence of recurrent VTE after cessation of anticoagulant therapy, supporting the potential yield of the score for making management decisions on the optimal duration of anticoagulant therapy.
| S-EPMC6611364 | biostudies-literature
Project description: Not available
| S-EPMC9430062 | biostudies-literature
Project description:ImportanceLittle is known about incidence of, risk factors for, and harms associated with inappropriate diagnosis of community-acquired pneumonia (CAP).ObjectiveTo characterize inappropriate diagnosis of CAP in hospitalized patients.Design, setting, and participantsThis prospective cohort study, including medical record review and patient telephone calls, took place across 48 Michigan hospitals. Trained abstractors retrospectively assessed hospitalized patients treated for CAP between July 1, 2017, and March 31, 2020. Patients were eligible for inclusion if they were adults admitted to general care with a discharge diagnostic code of pneumonia who received antibiotics on day 1 or 2 of hospitalization. Data were analyzed from February to December 2023.Main outcomes and measuresInappropriate diagnosis of CAP was defined using a National Quality Forum-endorsed metric as CAP-directed antibiotic therapy in patients with fewer than 2 signs or symptoms of CAP or negative chest imaging. Risk factors for inappropriate diagnosis were assessed and, for those inappropriately diagnosed, 30-day composite outcomes (mortality, readmission, emergency department visit, Clostridioides difficile infection, and antibiotic-associated adverse events) were documented and stratified by full course (>3 days) vs brief (≤3 days) antibiotic treatment using generalized estimating equation models adjusting for confounders and propensity for treatment.ResultsOf the 17 290 hospitalized patients treated for CAP, 2079 (12.0%) met criteria for inappropriate diagnosis (median [IQR] age, 71.8 [60.1-82.8] years; 1045 [50.3%] female), of whom 1821 (87.6%) received full antibiotic courses. Compared with patients with CAP, patients inappropriately diagnosed were older (adjusted odds ratio [AOR], 1.08; 95% CI, 1.05-1.11 per decade) and more likely to have dementia (AOR, 1.79; 95% CI, 1.55-2.08) or altered mental status on presentation (AOR, 1.75; 95% CI, 1.39-2.19). Among those inappropriately diagnosed, 30-day composite outcomes for full vs brief treatment did not differ (25.8% vs 25.6%; AOR, 0.98; 95% CI, 0.79-1.23). Full vs brief duration of antibiotic treatment among patients was associated with antibiotic-associated adverse events (31 of 1821 [2.1%] vs 1 of 258 [0.4%]; P = .03).Conclusions and relevanceIn this cohort study, inappropriate diagnosis of CAP among hospitalized adults was common, particularly among older adults, those with dementia, and those presenting with altered mental status. Full-course antibiotic treatment of those inappropriately diagnosed with CAP may be harmful.
| S-EPMC10964165 | biostudies-literature
Project description: Not available
| S-EPMC9013703 | biostudies-literature
Project description:Respiratory syncytial virus (RSV) causes millions of infections among children in the US each year and can cause severe disease or death. Infections that are not promptly detected can cause outbreaks that put other hospitalized patients at risk. No tools besides diagnostic testing are available to rapidly and reliably predict RSV infections among hospitalized patients. We conducted a retrospective study from pediatric electronic health record (EHR) data and built a machine learning model to predict whether a patient will test positive to RSV by nucleic acid amplification test during their stay. Our model demonstrated excellent discrimination with an area under the receiver-operating curve of 0.919, a sensitivity of 0.802, and specificity of 0.876. Our model can help clinicians identify patients who may have RSV infections rapidly and cost-effectively. Successfully integrating this model into routine pediatric inpatient care may assist efforts in patient care and infection control.
| S-EPMC9385995 | biostudies-literature