Zur Hauptnavigation wechseln Zur Suche wechseln Zum Hauptinhalt wechseln

Abstract

Background: Blood transfusions are common medical procedures and every age group requires detailed insights and treatment bundles. The aim of this study was to examine the association of anaemia, co-morbidities, complications, in-hospital mortality, and transfusion according to age groups to identify patient groups who are particularly at risk when undergoing surgery. Methods: Data from 21 Hospitals of the Patient Blood Management Network Registry were analysed. Patients were divided into age subgroups. The incidence of preoperative anaemia, co-morbidities, surgical disciplines, hospital length of stay, complications, in-hospital mortality rate, and transfusions were analysed by descriptive and multivariate regression analysis. Results: A total of 1 117 919 patients aged 18-108 years were included. With increasing age, the number of co-morbidities and incidence of preoperative anaemia increased. Complications, hospital length of stay, and in-hospital mortality increased with age and were higher in patients with preoperative anaemia. The mean number of transfused red blood cells (RBCs) peaked, whereas the transfusion rate increased continuously. Multivariate regression analysis showed that increasing age, co-morbidities, and preoperative anaemia were independent risk factors for complications, longer hospital length of stay, in-hospital mortality, and the need for RBC transfusion. Conclusion: Increasing age, co-morbidities, and preoperative anaemia are independent risk factors for complications, longer hospital length of stay, in-hospital mortality, and the need for RBC transfusion. Anaemia diagnosis and treatment should be established in all patients.

OriginalspracheEnglisch
Aufsatznummerzrac128
ZeitschriftBJS Open
Jahrgang6
Ausgabenummer6
ISSN2474-9842
DOIs
PublikationsstatusVeröffentlicht - 01.12.2022

Fördermittel

Acknowledgements The authors thank C. Füllenbach for his support to the study. We would like to thank the IT staff of every participating hospital for their support in this project by providing the necessary data. Conception was carried out by P.M., L.B., E.S., and K.Z. Writing of the manuscript was conducted by L.B., E.S., A.U.S., P.M., and K.Z. Data acquisition was the responsibility of E.S., K.Z., P.M., O.B., A.B., P.F., J.F., M. Gruenewald, M Gutjahr, D.N., A.R., K.S., P.S., A.U.S., J.T., H.W., and C.W. Data analysis and statistical interpretation was carried out by E.S. Medical interpretation was the responsibility of L.B., A.U.S., P.M., and K.Z. Revision of the manuscript was carried out by all authors. L.V.B. and E.S. contributed equally.

UN SDGs

Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

  1. SDG 3 – Gesundheit und Wohlergehen
    SDG 3 – Gesundheit und Wohlergehen
  2. SDG 9 – Industrie, Innovation und Infrastruktur
    SDG 9 – Industrie, Innovation und Infrastruktur
  3. SDG 10 – Weniger Ungleichheiten
    SDG 10 – Weniger Ungleichheiten
  4. SDG 11 – Nachhaltige Städte und Gemeinschaften
    SDG 11 – Nachhaltige Städte und Gemeinschaften
  5. SDG 12 – Verantwortungsvoller Konsum und Produktion
    SDG 12 – Verantwortungsvoller Konsum und Produktion

Fingerprint

Untersuchen Sie die Forschungsthemen von „Association of anaemia, co-morbidities and red blood cell transfusion according to age groups: multicentre sub-analysis of the German Patient Blood Management Network Registry“. Zusammen bilden sie einen einzigartigen Fingerprint.

Zitieren