Cauley RP, Stoffan A, Potanos K, Fullington N, Graham DA, Finkelstein JA, Kim HB, Wilson JM. Pulmonary support on day 30 as a predictor of morbidity and mortality in congenital diaphragmatic hernia.
J Pediatr Surg 2013;
48:1183-9. [PMID:
23845605 PMCID:
PMC4877188 DOI:
10.1016/j.jpedsurg.2013.03.012]
[Citation(s) in RCA: 25] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/11/2013] [Accepted: 03/08/2013] [Indexed: 11/17/2022]
Abstract
PURPOSE
Congenital diaphragmatic hernia (CDH) is associated with significant in-hospital mortality, morbidity and length-of-stay (LOS). We hypothesized that the degree of pulmonary support on hospital day-30 may predict in-hospital mortality, LOS, and discharge oxygen needs and could be useful for risk prediction and counseling.
METHODS
862 patients in the CDH Study Group registry with a LOS ≥ 30 days were analyzed (2007-2010). Pulmonary support was defined as (1) room-air (n=320) (2) noninvasive supplementation (n=244) (3) mechanical ventilation (n=279) and (4) extracorporeal membrane oxygenation (ECMO, n=19). Cox Proportional hazards and logistic regression models were used to determine the case-mix adjusted association of oxygen requirements on day-30 with mortality and oxygen requirements at discharge.
RESULTS
On multivariate analysis, use of ventilator (HR 5.1, p=.003) or ECMO (HR 19.6, p<.001) was a significant predictor of in-patient mortality. Need for non-invasive supplementation or ventilator on day-30 was associated with a respective 22-fold (p<.001) and 43-fold (p<.001) increased odds of oxygen use at discharge compared to those on room-air.
CONCLUSIONS
Pulmonary support on Day-30 is a strong predictor of length of stay, oxygen requirements at discharge and in-patient mortality and may be used as a simple prognostic indicator for family counseling, discharge planning, and identification of high-risk infants.
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