TY - JOUR
T1 - Impact of presenting patient characteristics on surgical complications and morbidity in early onset scoliosis
AU - Segreto, Frank A.
AU - Vasquez-Montes, Dennis
AU - Bortz, Cole A.
AU - Horn, Samantha R.
AU - Diebo, Bassel G.
AU - Vira, Shaleen
AU - Kelly, John J.
AU - Stekas, Nicholas
AU - Ge, David H.
AU - Ihejirika, Yael U.
AU - Lafage, Renaud
AU - Lafage, Virginie
AU - Karamitopoulos, Mara
AU - Delsole, Edward M.
AU - Hockley, Aaron
AU - Petrizzo, Anthony M.
AU - Buckland, Aaron J.
AU - Errico, Thomas J.
AU - Gerling, Michael C.
AU - Passias, Peter G.
N1 - Funding Information:
Dr. Virginie Lafage, PhD: grants from SRS, DePuy Spine, K2M, Stryker, NuVasive, personal fees from DePuy Spine, MSD, AO, NuVasive, shareholder and board of directors for Nemaris INC.
Funding Information:
Dr. Peter G. Passias, MD: grant from CSRS, personal fees from Medicrea, Spinewave, teaching/speaking fees from Zimmer-Biomet, Globus, scientific advisory board member at Allosource, research study funding from Aesculap.
Funding Information:
Dr. Thomas J. Errico, MD: grants from OMEGA, AOSpine NA, ISSG, personal fees from K2M, nonfinancial support from Harms Study Group, royalties from Fastenetix.
Funding Information:
Dr. Passias has received funding from Medicrea, SpineWave, Allosource, ZImmer Biomet, Globus, CSRS and Aesculap. Dr. Lafage reports funding from SRS, PePuy, K2M, Stryker, NuVasive, MSD, AOSpine, and Nemaris.
Publisher Copyright:
© 2018
PY - 2019/4
Y1 - 2019/4
N2 - This study sought to assess comorbidity profiles unique to early-onset-scoliosis (EOS) patients by employing cluster analytics and to determine the influence of isolated comorbidity clusters on perioperative complications, morbidity and mortality using a high powered administrative database. The KID database was queried for ICD-9 codes pertaining to congenital and idiopathic scoliosis from 2003, 2006, 2009, 2012. Patients <10 y/o (EOS group) were included. Demographics, incidence and comorbidity profiles were assessed. Comorbidity profiles were stratified by body systems (neurological, musculoskeletal, pulmonary, cardiovascular, renal). K-means cluster and descriptive analyses elucidated incidence and comorbidity relationships between frequently co-occurring comorbidities. Binary logistic regression models determined predictors of perioperative complication development, mortality, and extended length-of-stay (≥75th percentile). 25,747 patients were included (Age: 4.34, Female: 52.1%, CCI: 0.64). Incidence was 8.9 per 100,000 annual discharges. 55.2% presented with pulmonary comorbidities, 48.7% musculoskeletal, 43.8% neurological, 18.6% cardiovascular, and 11.9% renal; 38% had concurrent neurological and pulmonary. Top inter-bodysystem clusters: Pulmonary disease (17.2%) with epilepsy (17.8%), pulmonary failure (12.2%), restrictive lung disease (10.5%), or microcephaly and quadriplegia (2.1%). Musculoskeletal comorbidities (48.7%) with renal and cardiovascular comorbidities (8.2%, OR: 7.9 [6.6–9.4], p < 0.001). Top intra-bodysystem clusters: Epilepsy (11.7%) with quadriplegia (25.8%) or microcephaly (20.5%). Regression analysis determined neurological and pulmonary clusters to have a higher odds of perioperative complication development (OR: 1.28 [1.19–1.37], p < 0.001) and mortality (OR: 2.05 [1.65–2.54], p < 0.001). Musculoskeletal with cardiovascular and renal anomalies had higher odds of mortality (OR: 1.72 [1.28–2.29], p < 0.001) and extLOS (OR: 2.83 [2.48–3.22], p < 0.001). EOS patients with musculoskeletal conditions were 7.9x more likely to have concurrent cardiovascular and renal anomalies. Clustered neurologic and pulmonary anomalies increased mortality risk by as much as 105%. These relationships may benefit pre-operative risk assessment for concurrent anomalies and adverse outcomes. Level of Evidence: III – Retrospective Prognostic Study.
AB - This study sought to assess comorbidity profiles unique to early-onset-scoliosis (EOS) patients by employing cluster analytics and to determine the influence of isolated comorbidity clusters on perioperative complications, morbidity and mortality using a high powered administrative database. The KID database was queried for ICD-9 codes pertaining to congenital and idiopathic scoliosis from 2003, 2006, 2009, 2012. Patients <10 y/o (EOS group) were included. Demographics, incidence and comorbidity profiles were assessed. Comorbidity profiles were stratified by body systems (neurological, musculoskeletal, pulmonary, cardiovascular, renal). K-means cluster and descriptive analyses elucidated incidence and comorbidity relationships between frequently co-occurring comorbidities. Binary logistic regression models determined predictors of perioperative complication development, mortality, and extended length-of-stay (≥75th percentile). 25,747 patients were included (Age: 4.34, Female: 52.1%, CCI: 0.64). Incidence was 8.9 per 100,000 annual discharges. 55.2% presented with pulmonary comorbidities, 48.7% musculoskeletal, 43.8% neurological, 18.6% cardiovascular, and 11.9% renal; 38% had concurrent neurological and pulmonary. Top inter-bodysystem clusters: Pulmonary disease (17.2%) with epilepsy (17.8%), pulmonary failure (12.2%), restrictive lung disease (10.5%), or microcephaly and quadriplegia (2.1%). Musculoskeletal comorbidities (48.7%) with renal and cardiovascular comorbidities (8.2%, OR: 7.9 [6.6–9.4], p < 0.001). Top intra-bodysystem clusters: Epilepsy (11.7%) with quadriplegia (25.8%) or microcephaly (20.5%). Regression analysis determined neurological and pulmonary clusters to have a higher odds of perioperative complication development (OR: 1.28 [1.19–1.37], p < 0.001) and mortality (OR: 2.05 [1.65–2.54], p < 0.001). Musculoskeletal with cardiovascular and renal anomalies had higher odds of mortality (OR: 1.72 [1.28–2.29], p < 0.001) and extLOS (OR: 2.83 [2.48–3.22], p < 0.001). EOS patients with musculoskeletal conditions were 7.9x more likely to have concurrent cardiovascular and renal anomalies. Clustered neurologic and pulmonary anomalies increased mortality risk by as much as 105%. These relationships may benefit pre-operative risk assessment for concurrent anomalies and adverse outcomes. Level of Evidence: III – Retrospective Prognostic Study.
KW - Cluster
KW - Comorbidity
KW - Early onset scoliosis
KW - Inpatient
KW - KID
KW - Morbidity
KW - Mortality
KW - Postoperative complications
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U2 - 10.1016/j.jocn.2018.12.007
DO - 10.1016/j.jocn.2018.12.007
M3 - Article
C2 - 30635164
AN - SCOPUS:85059552228
SN - 0967-5868
VL - 62
SP - 105
EP - 111
JO - Journal of Clinical Neuroscience
JF - Journal of Clinical Neuroscience
ER -