Literature DB >> 26053457

Association between in-hospital adverse events and mortality for patients with brain tumors.

Miriam Nuño1, Christine Carico1, Debraj Mukherjee1, Diana Ly1, Alicia Ortega1, Keith L Black1, Chirag G Patil1.   

Abstract

OBJECT: The Agency for Healthcare Research and Quality patient safety indicators (PSIs) and the Centers for Medicare and Medicaid Services hospital-acquired conditions (HACs) are administrative data-based metrics. The use of these outcomes as standard performance measures has been discussed in previous studies. With the objective of determining the applicability of these events as performance metrics among patients undergoing brain tumor surgery, this study had 2 aims: 1) to evaluate the association between PSIs, HACs, and in-hospital mortality rates; and 2) to determine a correlation between hospital volume, PSIs, and HACs.
METHODS: Patients with brain tumors treated between 1998 and 2009 were captured in the Nationwide Inpatient Sample database. Hospitals were categorized into groups according to surgical volume. Associations between PSIs, HACs, and in-hospital mortality rates were studied. Factors associated with a PSI, HAC, and mortality were evaluated in a multivariate setting.
RESULTS: A total of 444,751 patients with brain tumors underwent surgery in 1311 hospitals nationwide. Of these, 7.4% of patients experienced a PSI, 0.4% an HAC, and 1.9% died during their hospitalization. The occurrence of a PSI was strongly associated with mortality. Patients were 7.6 times more likely to die (adjusted odds ratio [aOR] 7.6, CI 6.7-8.7) with the occurrence of a PSI in a multivariate analysis. Moderate to strong associations were found between HACs, PSIs, and hospital volume. Patients treated at the highest-volume hospitals compared with the lowest-volume ones had reduced odds of a PSI (aOR 0.9, CI 0.8-1.0) and HAC (aOR 0.5, CI 0.5-0.08).
CONCLUSIONS: Patient safety-related adverse events were strongly associated with in-hospital mortality. Moderate to strong correlations were found between PSIs, HACs, and hospital procedural volume. Patients treated at the highest-volume hospitals had consistently lower rates of mortality, PSIs, and HACs compared with those treated at the lowest-volume facilities.

Entities:  

Keywords:  AHRQ = Agency for Healthcare Research and Quality; CCI = Charlson Comorbidity Index; CMS = Centers for Medicare and Medicaid Services; DVT = deep venous thrombosis; HAC = hospital-acquired condition; IQR = interquartile range; NIS = Nationwide Inpatient Sample; PE = pulmonary embolism; PSI = patient safety indicator; UCSF-Stanford EPC = University of California at San Francisco-Stanford University Evidence-based Practice Center; UTI = urinary tract infection; V1–V4 = lowest- to highest-volume hospitals; aOR = adjusted odds ratio; hospital procedural volume; hospital-acquired conditions; in-hospital mortality; oncology; patient safety indicators

Mesh:

Year:  2015        PMID: 26053457     DOI: 10.3171/2014.10.JNS141516

Source DB:  PubMed          Journal:  J Neurosurg        ISSN: 0022-3085            Impact factor:   5.115


  10 in total

Review 1.  Venous thromboembolic events in patients undergoing craniotomy for tumor resection: incidence, predictors, and review of literature.

Authors:  Lorenzo Rinaldo; Desmond A Brown; Adip G Bhargav; Aaron E Rusheen; Ryan M Naylor; Hannah E Gilder; Dileep D Monie; Stephanie J Youssef; Ian F Parney
Journal:  J Neurosurg       Date:  2019-01-04       Impact factor: 5.115

2.  Association between insurance status and patient safety in the lumbar spine fusion population.

Authors:  Joseph E Tanenbaum; Vincent J Alentado; Jacob A Miller; Daniel Lubelski; Edward C Benzel; Thomas E Mroz
Journal:  Spine J       Date:  2016-10-17       Impact factor: 4.166

3.  Predictive risk factors for venous thromboembolism in neurosurgical patients: A retrospective analysis single center cohort study.

Authors:  Porntip Parmontree; Phanuwat Ketprathum; Teeraphat Ladnok; Supanut Meeaium; Thanyaras Thanaratsiriworakul; Ukrit Sonhorm
Journal:  Ann Med Surg (Lond)       Date:  2022-04-14

4.  Insurance status and reportable quality metrics in the cervical spine fusion population.

Authors:  Joseph E Tanenbaum; Jacob A Miller; Vincent J Alentado; Daniel Lubelski; Benjamin P Rosenbaum; Edward C Benzel; Thomas E Mroz
Journal:  Spine J       Date:  2016-08-04       Impact factor: 4.166

5.  Predictors of outcomes and hospital charges following atlantoaxial fusion.

Authors:  Joseph E Tanenbaum; Daniel Lubelski; Benjamin P Rosenbaum; Nicolas R Thompson; Edward C Benzel; Thomas E Mroz
Journal:  Spine J       Date:  2016-01-11       Impact factor: 4.166

6.  Hospital Magnet Status Associates With Inpatient Safety in Parkinson Disease.

Authors:  Whitley W Aamodt; Jasmine Travers; Dylan Thibault; Allison W Willis
Journal:  J Neurosci Nurs       Date:  2021-06-01       Impact factor: 1.627

7.  Venous thromboembolism and intracranial hemorrhage after craniotomy for primary malignant brain tumors: a National Surgical Quality Improvement Program analysis.

Authors:  Joeky T Senders; Nicole H Goldhaber; David J Cote; Ivo S Muskens; Hassan Y Dawood; Filip Y F L De Vos; William B Gormley; Timothy R Smith; Marike L D Broekman
Journal:  J Neurooncol       Date:  2017-10-16       Impact factor: 4.130

8.  Comparison of the Performance of 24 Early Warning Scores with the Updated National Early Warning Score (NEWS2) for Predicting Unplanned Intensive Care Unit (ICU) Admission in Postoperative Brain Tumor Patients: A Retrospective Study at a Single Center.

Authors:  Lingli Peng; Zhen Luo; Lingling Liang; Mingming Liu; Lingyao Meng; Jianwen Tan; Lili Song; Yan Zhang; Lixiang Wu
Journal:  Med Sci Monit       Date:  2021-03-02

9.  Benchmarking hospital safety and identifying determinants of hospital-acquired complication: the case of Queensland cardiac linkage longitudinal cohort.

Authors:  Son Nghiem; Clifford Afoakwah; Paul Scuffham; Joshua Byrnes
Journal:  Infect Prev Pract       Date:  2021-12-13

10.  Risk for morbidity and mortality after neurosurgery in older patients with high grade gliomas - a retrospective population based study.

Authors:  David Löfgren; Antonios Valachis; Magnus Olivecrona
Journal:  BMC Geriatr       Date:  2022-10-17       Impact factor: 4.070

  10 in total

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