Factors predictive of optimal peristomal skin status in patients with an ostomy: a secondary analysis.

RESEARCH; ENTEROSTOMY nursing; STATISTICS; SCIENTIFIC observation; CONFIDENCE intervals; OSTOMATES; SKIN care; CROSS-sectional method; MULTIVARIATE analysis; COLOSTOMY; ILEOSTOMY; AGE distribution; RETROSPECTIVE studies; MEDICAL cooperation; OSTOMY; T-test (Statistics); RESEARCH funding; QUALITY of life; CHI-squared test; DESCRIPTIVE statistics; STATISTICAL models; LOGISTIC regression analysis; ODDS ratio; RECEIVER operating characteristic curves; DATA analysis software; BODY mass index; DATA analysis; SECONDARY analysis

Peristomal skin problems are common in ostomy patients and are connected to decreased quality of life and patient independence, as well as increased treatment costs. This study analysed the factors related to peristomal skin changes in order to better define the clinical profile of patients with optimal peristomal skin status. Secondary analysis of data from a nationwide, cross-sectional, retrospective, multicentre study performed in Spain (Uses and Attitudes in Ostomy) (Bueno Cruz et al, 2021) evaluated clinical data, including demographics, preoperative stoma site marking, type of ostomy, device used, frequency of leakage and scores from the Ostomy Skin Tool (OST) and quality of life (QoL) questionnaires. Risk factors for peristomal skin changes were analysed using multivariate analysis, and a predictive nomogram to anticipate optimal peristomal skin status (defined here as discolouration (D), erosion (E), and tissue overgrowth (T) (DET) score of 0) was developed. Some 871 patients with an ostomy using different commercial devices in Spain were evaluated. Multivariate analysis to predict optimal peristomal skin status revealed leakage frequency, patient age, type of ostomy, preoperative siting and type of baseplate used were independent predictors of peristomal skin status. Optimal peristomal skin care should be a treatment goal for nurse specialists in stomal therapy, and its individual influencing variables should be taken into account by nurses specialising in ostomy care. [ABSTRACT FROM AUTHOR]