Abstract P193: Infection Type and Severity are Risk Factors for Hospital-Acquired Venous Thromboembolism in Medical Inpatients

Circulation ◽  
2015 ◽  
Vol 131 (suppl_1) ◽  
Author(s):  
Samuel Merrill ◽  
Michael Desarno ◽  
Damon Houghton ◽  
Christopher Huston ◽  
Peter Callas ◽  
...  

Introduction: Hospital-acquired venous thromboembolism (HAVTE) leads to increased length of stay, cost, morbidity, and is a target of government quality measures. How infection relates to HAVTE risk is unknown. We wished to identify infection-related risk factors for HAVTE to help identify at-risk patients and to guide prevention efforts. Hypothesis: We hypothesized that increased infection severity, affected organ system, and positive microbiology culture results were associated with HAVTE in medical inpatients. Methods: HAVTE between 2009-2012 were identified by ICD-9 codes with confirmatory imaging at a 500 bed teaching hospital. ICD-9 codes, microbiology results, lab and vital sign data, and medication records were used to classify infections as presented in the Table. Logistic regression was used to determine odds ratios (OR) and 95% confidence intervals (CI) for HAVTE adjusting for known HAVTE risk factors in the MITH score, a previously developed HAVTE risk score for medical inpatients. Models incorporated known HAVTE risk factors and assessed each variable from the Table individually. Results: In 20,327 medical admissions there were 113 hospital-acquired HAVTE (incidence: 0.56%). The table presents the association between infection-related risk factors and HAVTE. Septic shock (OR 7.48), sepsis (OR 5.9), and MSSA culture isolate (OR 6.39) had the greatest point-estimates of HAVTE after adjusting for known HAVTE risk factors. Conclusions: Infection severity, affected organ system, and microbiologic etiology were risk factors for HAVTE after adjusting for known risk factors. The relationship between these risk factors and thrombosis is likely complex, but these risk factors are easily measureable using the electronic health record. These results may help facilitate HAVTE prevention by further identifying high risk patients.

Healthcare ◽  
2021 ◽  
Vol 9 (6) ◽  
pp. 778
Author(s):  
Ann-Rong Yan ◽  
Indira Samarawickrema ◽  
Mark Naunton ◽  
Gregory M. Peterson ◽  
Desmond Yip ◽  
...  

Venous thromboembolism (VTE) is a significant cause of mortality in patients with lung cancer. Despite the availability of a wide range of anticoagulants to help prevent thrombosis, thromboprophylaxis in ambulatory patients is a challenge due to its associated risk of haemorrhage. As a result, anticoagulation is only recommended in patients with a relatively high risk of VTE. Efforts have been made to develop predictive models for VTE risk assessment in cancer patients, but the availability of a reliable predictive model for ambulate patients with lung cancer is unclear. We have analysed the latest information on this topic, with a focus on the lung cancer-related risk factors for VTE, and risk prediction models developed and validated in this group of patients. The existing risk models, such as the Khorana score, the PROTECHT score and the CONKO score, have shown poor performance in external validations, failing to identify many high-risk individuals. Some of the newly developed and updated models may be promising, but their further validation is needed.


2021 ◽  
pp. 039156032199438
Author(s):  
Riccardo Bientinesi ◽  
Carlo Gandi ◽  
Luigi Vaccarella ◽  
Emilio Sacco

Modifiable lifestyle-related risk factors are the object of increasing attention, with a view to primary and tertiary prevention, to limit the onset and development of diseases. Also in the urological field there is accumulating evidence of the relationship between urological diseases and lifestyle-related risk factors that can influence their incidence and prognosis. Risk factors such as nutrition, physical activity, sexual habits, tobacco smoking, or alcohol consumption can be modified to limit morbidity and reduce the social impact and the burdensome costs associated with diagnosis and treatment. This review synthesizes the current clinical evidence available on this topic, trying to satisfy the need for a summary on the relationships between the most important lifestyle factors and the main benign urological diseases, focusing on benign prostatic hyperplasia (BPH), infections urinary tract (UTI), urinary incontinence (UI), stones, erectile dysfunction, and male infertility.


2020 ◽  
Author(s):  
Li Wang ◽  
Yan Tan ◽  
Jiangnan Zhao ◽  
Lin Gao ◽  
Jing Lei ◽  
...  

Abstract BackgroundPatients with severe pneumonia complicated with hypoxic respiratory failure often associated with increased morbidity and mortality rates. It is critical to discover more sensitive and specific markers for early identification of such high risk patients thus specific and timely treatment can be adjusted.MethodsThis retrospective study was performed in the respiratory intensive care unit (RICU) of Nanjing First Hospital and Jinling Hospital, Nanjing Medical University. Clinical data of patients admitted to the RICU and diagnosed with pneumonia from January 2017 to October 2019 was retrospectively reviewed. The eligible patients were classified into hypoxemia and non hypoxemia groups according to oxygenation index of 250 mmHg. In the meantime, the same cohort was separated into survival and deceased groups after 30 days post hospital admission. The related risk factors in these two classifications were examined separately.ResultsA total of 828 patients were screened for eligibility, and eventually 130 patients with pneumonia were included in our final analysis. Among the patients, 16 passed away despite exhausting standard treatments. The comparison between hypoxemia and non hypoxemia groups suggested that gender, diabetes mellitus status, count of white blood cell(WBC), neutrophils, neutrophils/Lymphocyte, lactic acid, creatinine, D-dimer, procalcitonin (PCT), C-reactive protein (CRP), PH, Lymphocyte, albumin and RAGE were significantly different.ConclusionsPrevious studies have suggested that the APACHE II score, LIS, SOFA, Nutric scores, WBC, neutrophils, lymphocyte counts and albumin levels were independent risk factors for severe pneumonia. Our study indicated that RAGE should be a new biomarker to predict poor prognosis in pneumonia. In addition, we also showed that LIS, SOFA, lactate, lymphocyte, platelet, BUN, total bilirubin, and PCT levels before treatment were independent factors that associated with 30 days survival rate. In addition, we proposed that OSM should be considered as a new prognosis marker for pneumonia patients.


Author(s):  
Gercoline van Beek ◽  
Vivienne de Vogel ◽  
Dike van de Mheen

Although studies point to a relationship between debt and crime, there is a limited understanding of their reciprocal relationship and possible mediating risk factors. Moreover, knowledge about the prevalence and scope of debt among offenders is lacking. Therefore, the present study analyzed 250 client files including risk assessment data from the Dutch probation service on the prevalence of debt and possibly related risk factors. The results show that debt is highly prevalent and complex, which underlines the importance of acquiring more knowledge about debt as a potential risk factor for relapse during supervision. It was found that problems with regard to childhood and living situation, education and work/daytime activities, and mental and physical health may be possible underlying risk factors in the relationship between debt and crime. These insights can help professionals adequately support clients with regard to debt in order to prevent recidivism.


2009 ◽  
Vol 101 (05) ◽  
pp. 893-901 ◽  
Author(s):  
Mauro Campanini ◽  
Mauro Silingardi ◽  
Gianluigi Scannapieco ◽  
Antonino Mazzone ◽  
Giovanna Magni ◽  
...  

SummaryHospitalised medical patients are at increased risk of venous thromboembolism (VTE), but the incidence of hospitalisation-related VTE in unselected medical inpatients has not been extensively studied, and uncertainties remain about the optimal use of thromboprophylaxis in this setting. Aims of our prospective, observational study were to assess the prevalence of VTE and the incidence of symptomatic, hospitalisation-related events in a cohort of consecutive patients admitted to 27 Internal Medicine Departments, and to evaluate clinical factors associated with the use of thromboprophylaxis. Between March and September 2006, a total of 4,846 patients were included in the study. Symptomatic VTE with onset of symptoms later than 48 hours after admission (”hospital-acquired” events, primary study end-point) occurred in 26 patients (0.55٪), while the overall prevalence of VTE (including diagnosis prior to or at admission) was 3.65٪. During hospital stay antithrombotic prophylaxis was administered in 41.6٪ of patients, and in 58.7% of those for whom prophylaxis was recommended according to the 2004 Guidelines of the American College of Chest Physicians. The choice of administering thromboprophylaxis or not appeared qualitatively adherent to indications from randomised clinical trials and international guidelines, and bed rest was the strongest determinant of the use of prophylaxis. Data from our real-world study confirm that VTE is a relevant complication in patients admitted to Internal Medicine Departments, and recommended tromboprophylaxis is still under-used, in particular in some patients groups. Further efforts are needed to better define risk profile and to optimise prophylaxis in the heterogeneous setting of medical inpatients.


Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 2313-2313
Author(s):  
Minh Q Tran ◽  
Steven L Shein ◽  
Hong Li ◽  
Sanjay P Ahuja

Abstract Introduction: Venous thromboembolism (VTE) in Pediatric Intensive Care Unit (PICU) patients is associated with central venous catheter (CVC) use. However, risk factors for VTE development in PICU patients with CVCs are not well established. The impact of Hospital-Acquired VTE in the PICU on clinical outcomes needs to be studied in large multicenter databases to identify subjects that may benefit from screening and/or prophylaxis. Method: With IRB approval, the Virtual Pediatric Systems, LLC database was interrogated for children < 18yo admitted between 01/2009-09/2014 who had PICU length of stay (LOS) <1 yr and a CVC present at some point during PICU care. The exact timing of VTE diagnosis was unavailable in the database, so VTE-PICU was defined as an "active" VTE that was not "present at admission". VTE-prior was defined as a VTE that was "resolved," "ongoing" or "present on admission." Variables extracted from the database included demographics, primary diagnosis category, and Pediatric Index of Mortality (PIM2) score. PICU LOS was divided into quintiles. Chi squared and Wilcoxon rank-sum were used to identify variables associated with outcomes, which were then included in multivariate models. Our primary outcome was diagnosis of VTE-PICU and our secondary outcome was PICU mortality. Children with VTE-prior were included in the mortality analyses, but not the VTE-PICU analyses. Data shown as median (IQR) and OR (95% CI). Results: Among 143,524 subjects, the median age was 2.8 (0.47-10.31) years and 55% were male. Almost half (44%) of the subjects were post-operative. The median PIM2 score was -4.11. VTE-prior was observed in 2498 patients (1.78%) and VTE-PICU in 1741 (1.2%). The incidence of VTE-PICU were 852 (1.7%) in patients ≤ 1 year old, 560 (0.9%) in patients 1-12 years old, and 303 (1.1%) in patients ≥ 13 years old (p < 0.0001). In univariate analysis, variables associated with a diagnosis of VTE-PICU were post-operative state, four LOS quintiles (3-7, 7-14, and 14-21 and >21 days) and several primary diagnosis categories: cardiovascular, gastrointestinal, infectious, neurologic, oncologic, genetic, and orthopedic. Multivariate analysis showed increased risk of VTE with cardiovascular diagnosis, infectious disease diagnosis, and LOS > 3 d (Table 1). The odds increased with increasing LOS: 7 d < LOS ≤ 14 d (5.18 [4.27-6.29]), 14 d < LOS ≤ 21 d (7.96 [6.43-9.82]), and LOS > 21 d (20.73 [17.29-24.87]). Mortality rates were 7.1% (VTE-none), 7.2% (VTE-prior), and 10.1% (VTE-PICU) (p < 0.0001). In the multivariate model, VTE-PICU (1.25 [1.05-1.49]) and VTE-prior (1.18 [1.002-1.39]) were associated with death vs. VTE-none. PIM2 score, trauma, and several primary diagnosis categories were also independently associated with death (Table 2). Conclusion: This large, multicenter database study identified several variables that are independently associated with diagnosis of VTE during PICU care of critically ill children with a CVC. Children with primary cardiovascular or infectious diseases, and those with PICU LOS >3 days may represent specific populations that may benefit from VTE screening and/or prophylaxis. Hospital-Acquired VTE in PICU was independently associated with death in our database. Additional analysis of this database, including adding specific diagnoses and secondary diagnoses, may further refine risk factors for Hospital-Acquired VTE among PICU patients with a CVC. Table 1. Multivariate analysis of Factors Associated with VTE-PICU. Factors Odds Ratio 95% Confidence Interval 3d < LOS ≤ 7d vs LOS ≤ 3d 2.19 1.78-2.69 7d < LOS ≤ 14d vs LOS ≤ 3d 5.18 4.27-6.29 14d < LOS ≤ 21d vs LOS ≤ 3d 7.95 6.44-9.82 LOS > 21d vs LOS ≤ 3d 20.73 17.29-24.87 Age 1.00 0.99-1.01 Post-operative 0.89 0.80-0.99 PIM2 Score 1.47 1.01-1.07 Primary Diagnosis: Cardiovascular 1.50 1.31-1.64 Primary Diagnosis: Infectious 1.50 1.27-1.77 Primary Diagnosis: Genetics 0.32 0.13-0.78 Table 2. Multivariate Analysis of Factors Associated with PICU Mortality. Factors Odds Ratio 95% ConfidenceInterval VTE-prior 1.18 1.00-1.39 VTE-PICU 1.25 1.05-1.49 PIM2 Score 2.08 2.05-2.11 Trauma 1.92 1.77-2.07 Post-operative 0.45 0.42-0.47 Primary Diagnosis: Genetic 2.07 1.63-2.63 Primary Diagnosis: Immunologic 2.45 1.51-3.95 Primary Diagnosis: Hematologic 1.63 1.30-2.06 Primary Diagnosis: Metabolic 0.71 0.58-0.87 Primary Diagnosis: Infectious 1.47 1.36-1.59 Primary Diagnosis: Neurologic 1.37 1.27-1.47 Disclosures No relevant conflicts of interest to declare.


Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 829-829
Author(s):  
Neil A. Zakai ◽  
Insu Koh ◽  
Katherine Wilkinson ◽  
Nicholas S Roetker ◽  
Andrew D Sparks ◽  
...  

Abstract Introduction: Multiple regulatory agencies and professional societies recommend risk assessment of hospitalized medical patients for hospital-acquired (HA) venous thromboembolism (VTE) and provision of pharmacologic prophylaxis to those at risk. Extant risk assessment models (RAMs) include risk factors not knowable or difficult to assess at admission and often do not include risk factors reflecting illness acuity (such as laboratory studies and vital signs at admission). We developed a RAM for HA-VTE that reports absolute VTE risk, as opposed to arbitrary risk categories, using only objective risk factors measured within the first 24 hours of admission. Methods: The study setting was a combined academic and community 540-bed teaching hospital in northwest Vermont (The University of Vermont Medical Center). Using validated electronic health record (EHR) derived phenotypes (computable phenotypes), we captured all medical admissions between 2010-2019 and examined patient demographics, past medical history, and presenting vital and laboratory measures as potential risk factors for HA-VTE. As risk assessment should happen within 24 hours of admission, we only assessed risk factors knowable within this timeframe. Individuals with VTE at admission were excluded. Key outcome and risk factor definitions were validated using chart review. Bayesian logistic regression with a least absolute shrinkage and selection operator (LASSO) prior probability distribution was used to select risk factors for the model. Variables with a t-statistic ≥1.5 or ≤-1.5 were included in the final model. Full or prophylactic anticoagulation use was adjusted for in the final model. Model performance was assessed using bootstrap resampling to estimate area under the receiver operating characteristic (AUC) curve and calibration slope with 95% confidence interval (CI). Results: There were 62,468 medical admissions in the study period with 219 HA-VTE events. Chart review demonstrated the positive predictive value of our HA-VTE computable phenotype to be 84% and the negative predictive value 99%. Mean age was 65 years and 51% were male. Comorbid conditions were common in this hospitalized population, including active cancer (29%), congestive heart failure (25%), diabetes (27%), hypertension (59%), and prior myocardial infarction (13%). Seven risk factors met the criteria for inclusion in the final model: prior history of VTE (OR 2.7; 95% CI 1.8, 3.8), red cell distribution width ≥14.7% (OR 1.6; 95% CI 1.2, 2.2), creatinine ≥2.0 mg/dL or on dialysis (OR 2.0; 95% CI 1.4, 2.8), serum sodium &lt;136 MEq/L (OR 1.5; 95% CI 1.1, 2.1), active cancer (OR 1.4; 95% CI 1.1, 2.0), malnutrition based on prior reported weight loss (OR 2.1; 95% CI 1.3, 3.3), and low hemoglobin (&lt;13.6 g/dL in men, &lt;12.1 g/dL in women; OR 1.5; 95% CI 1.0, 2.1). The unadjusted AUC of the RAM was 0.73 with an unadjusted calibration slope 1.09 (Figure 1). The optimism-adjusted AUC was 0.68 (95% CI 0.64, 0.71) and the optimism-adjusted calibration slope was 0.87 (95% CI: 0.72, 1.03). Discussion: We developed and internally validated a RAM for HA-VTE during medical hospitalization which incorporates simple, objective risk factors knowable within the first 24 hours of admission. Unlike most prior RAMs, this model also incorporates risk factors reflecting illness severity such as laboratory results. The RAM has good fit and calibration and will be moved forward to external validation. Future applications include incorporating the RAM into hospital admission workflows and assessing VTE prophylaxis rates and the incidence of HA-VTE and HA-bleeding. Figure 1 Figure 1. Disclosures No relevant conflicts of interest to declare.


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