Association of In-Hospital Surgical Bleeding Events with Prolonged Hospital Length of Stay, Days Spent in Critical Care, Complications, and Mortality: A Retrospective Cohort Study Among Patients Undergoing Neoplasm-Directed Surgeries in English Hospitals.

clinical practice research datalink GOLD database hospital episode statistics admitted patient care database hysterectomy low anterior resection lung resection mastectomy prostate surgery

Journal

ClinicoEconomics and outcomes research : CEOR
ISSN: 1178-6981
Titre abrégé: Clinicoecon Outcomes Res
Pays: New Zealand
ID NLM: 101560564

Informations de publication

Date de publication:
2021
Historique:
received: 21 10 2020
accepted: 18 12 2020
entrez: 15 1 2021
pubmed: 16 1 2021
medline: 16 1 2021
Statut: epublish

Résumé

To evaluate the association of in-hospital surgical bleeding events with the outcomes of hospital length of stay (LOS), days spent in critical care, complications, and mortality among patients undergoing neoplasm-directed surgeries in English hospitals. This is a retrospective cohort study using English hospital discharge data (Hospital Episode Statistics [HES]) linked to electronic health records (Clinical Practice Research Datalink [CPRD]). HES includes information on patient demographics, admission and discharge dates, diagnoses and procedures, days spent in critical care, and discharge status. CPRD includes information on patient demographics, diagnoses and symptoms, drug exposures, vaccination history, and laboratory tests. Patients aged ≥18 years who underwent selected neoplasm-directed surgeries between 1-Jan-2010 and 29-February-2016: hysterectomy, low anterior resection (LAR), lung resection, mastectomy, and prostate surgery were included. The primary independent variable was in-hospital surgical bleeding events identified by diagnosis of haemorrhage and haematoma complicating a procedure or reopening/re-exploration and surgical arrest of postoperative bleeding. Outcomes included LOS, days spent in critical care, in-hospital complications (diagnoses of infections, acute renal failure, vascular events), and in-hospital mortality, identified during surgery through discharge. Multivariable regression was used to examine the adjusted association of bleeding events with outcomes. The study included 26,437 neoplasm-directed surgeries (hysterectomy=6092; LAR=2957; lung=1538; mastectomy=12,806; prostate=3044). Incidence proportions of bleeding events were: hysterectomy=1.9% (95% confidence interval=1.1-2.5%); LAR=3.0% (CI=2.3-3.6%); lung=1.8% (CI=1.1-2.5%); mastectomy=1.6% (CI=1.3-1.8%); prostate=1.0% (CI=0.6-1.3%). In adjusted analyses, bleeding events were associated with: prolonged LOS: 3.1 (CI=1.1-6.3) mastectomy to 5.7 (CI=3.6-8.2) LAR days longer; more days spent in critical care: 0.4 (CI=0.03-0.27) mastectomy to 6.5 (CI=2.5-13.6) hysterectomy days more; and higher incidence proportions of all examined complications; all This study quantifies a substantial clinical and healthcare resource utilization burden associated with surgical bleeding among patients undergoing neoplasm-directed surgery in England hospitals.

Identifiants

pubmed: 33447063
doi: 10.2147/CEOR.S287970
pii: 287970
pmc: PMC7802902
doi:

Types de publication

Journal Article

Langues

eng

Pagination

19-29

Informations de copyright

© 2021 Johnston et al.

Déclaration de conflit d'intérêts

Stephen S. Johnston, Nadine Jamous, Sameer Mistry, Gaurav Gangoli, Walter Danker, and Eric Ammann are currently employed or were employed by Johnson & Johnson at the time this study was conducted. Gaurav Gangoli and Walter Danker were affiliated with Ethicon at the time the study was conducted. Eric Ammann was affiliated with Janssen at the time the study was conducted. Simran Jain was employed by Mu Sigma at the time the study was conducted. Simran Jain and Kingsley Hampton were consultants to Johnson & Johnson at the time that this research was conducted. The authors report no other conflicts of interest in this work.

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Auteurs

Stephen S Johnston (SS)

Department of Epidemiology, Medical Devices, Johnson & Johnson, New Brunswick, NJ, USA.

Nadine Jamous (N)

Department of Health Economics and Market Access, Johnson & Johnson Medical Ltd, Edinburgh, UK.

Sameer Mistry (S)

Department of Medical Affairs, Johnson & Johnson Medical Ltd, Berkshire, UK.

Simran Jain (S)

Department of Decision Science, Mu Sigma, Bangalore, India.

Gaurav Gangoli (G)

Department of Health Economics and Market Access, Ethicon, Inc, Somerville, NJ, USA.

Walter Danker (W)

Department of Health Economics and Market Access, Ethicon, Inc, Somerville, NJ, USA.

Eric Ammann (E)

Department of Epidemiology, Janssen, Titusville, NJ, USA.

Kingsley Hampton (K)

Department of Cardiovascular Science, University of Sheffield, Sheffield, UK.

Classifications MeSH