Preoperative anaemia in distal pancreatectomy: a propensity-score matched analysis

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Contributors

Abstract

Background: Preoperative anaemia is a prevalent morbidity predictor that adversely affects short- and long-term outcomes of patients undergoing surgery. This analysis aimed to investigate preoperative anaemia and its detrimental effects on patients after distal pancreatectomy. Material and methods: The present study was a propensity-score match analysis of 286 consecutive patients undergoing distal pancreatectomy. Patients were screened for preoperative anaemia and classified according to WHO recommendations. The primary outcome measure was overall morbidity. The secondary endpoints were in-hospital mortality and rehospitalization. Results: The preoperative anaemia rate before matching was 34.3% (98 patients), and after matching a total of 127 patients (non-anaemic 42 vs. anaemic 85) were included. Anaemic patients had significantly more postoperative major complications (54.1% vs. 23.8%; p < 0.01), a higher comprehensive complication index (26.2 vs. 4.3; p < 0.01), and higher in-hospital mortality rate (14.1% vs. 2.4%; p = 0.04). Multivariate regression analysis confirmed these findings and identified preoperative anaemia as a strong independent risk factor for postoperative major morbidity (OR 4.047; 95% CI: 1.587–10.320; p < 0.01). Conclusion: The current propensity-score matched analysis strongly considered preoperative anaemia as a risk factor for major complications following distal pancreatectomy. Therefore, an intense preoperative anaemia workup should be increasingly prioritised.

Details

Original languageEnglish
Article number119
Number of pages10
JournalLangenbeck's Archives of Surgery
Volume409
Issue number1
Publication statusPublished - 11 Apr 2024
Peer-reviewedYes

External IDs

PubMed 38602554
Scopus 85190129138

Keywords

Keywords

  • Anaemia, Blood transfusion, CCI, Distal pancreatic resection, Pancreatic disease, Humans, Pancreatectomy/adverse effects, Anemia/complications, Hospital Mortality, Multivariate Analysis, Postoperative Complications/epidemiology