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Journal of Clinical Medicine logoLink to Journal of Clinical Medicine
. 2023 Feb 3;12(3):1210. doi: 10.3390/jcm12031210

The Impact of Prematurity at Birth on Short-Term Postoperative Outcomes Following Posterior Spinal Fusion for Adolescent Idiopathic Scoliosis

Neil V Shah 1, Marine Coste 2, Adam J Wolfert 1, Samuel Gedailovich 1, Brian Ford 3, David J Kim 1, Nathan S Kim 1, Chibuokem P Ikwuazom 1, Neil Patel 1, Amanda M Dave 4, Peter G Passias 5, Frank J Schwab 6, Virginie Lafage 6, Carl B Paulino 1,7,*, Bassel G Diebo 1,8
Editor: Hiroyuki Katoh
PMCID: PMC9917850  PMID: 36769858

Abstract

Prematurity is associated with surgical complications. This study sought to determine the risk of prematurity on 30-day complications, reoperations, and readmissions following ≥7-level PSF for AIS which has not been established. Utilizing the American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP)-Pediatric dataset, all AIS patients undergoing ≥7-level PSF from 2012–2016 were identified. Cases were 1:1 propensity score-matched to controls by age, sex, and number of spinal levels fused. Prematurity sub-classifications were also evaluated: extremely (<28 weeks), very (28–31 weeks), and moderate-to-late (32–36 weeks) premature. Univariate analysis with post hoc Bonferroni compared demographics, hospital parameters, and 30-day outcomes. Multivariate logistic regression identified independent predictors of adverse 30-day outcomes. 5531 patients (term = 5099; moderate-to-late premature = 250; very premature = 101; extremely premature = 81) were included. Premature patients had higher baseline rates of multiple individual comorbidities, longer mean length of stay, and higher 30-day readmissions and infections than the term cohort. Thirty-day readmissions increased with increasing prematurity. Very premature birth predicted UTIs, superficial SSI/wound dehiscence, and any infection, and moderate-to-late premature birth predicted renal insufficiency, deep space infections, and any infection. Prematurity of AIS patients differentially impacted rates of 30-day adverse outcomes following ≥7-level PSF. These results can guide preoperative optimization and postoperative expectations.

Keywords: adolescent idiopathic scoliosis, prematurity, posterior spinal fusion, complications, short-term outcomes

1. Introduction

Despite a slight decline in prevalence in recent decades, more than 10% of births in the United States continue to be preterm, defined as a birth that occurs before 37 weeks of gestation [1]. Prematurity has a well-delineated association with increased rates of comorbidities and complications in childhood and throughout life, including, but not limited to, higher rates of cardiovascular, respiratory, and behavioral/cognitive conditions as well as increased morbidity and mortality in the neonatal period [1,2,3,4,5,6,7,8]. The management of premature patients must take into consideration challenges that are not as relevant to individuals born at term. Understanding and accounting for such differences can allow providers to better optimize the health of patients with a history of premature birth when planning for surgical procedures later in life.

Adolescent idiopathic scoliosis (AIS) is the most common form of scoliosis and is defined as idiopathic scoliosis in individuals 10–18 years old [9]. Little is known about the exact etiology of AIS, although studies suggest a multi-factorial origin [10,11,12,13,14]. Existing literature has reported a prevalence between 2 and 9.2%, although only approximately 0.23% of patients end up requiring surgical treatment [15,16]. Operative treatment is performed with spinal fusion through either an anterior, posterior, or combined approach, with posterior spinal fusion (PSF) with instrumentation identified as the gold standard [17,18]. AIS has been shown to have a higher incidence among individuals born prematurely. Premature populations also generally experience higher complication rates when undergoing corrective surgeries for congenital defects [11,19,20,21,22]. Despite this, the impact of prematurity on surgical outcomes, specifically in AIS patients, is not well-documented.

The purpose of this study was to explore the association between history of prematurity at birth and short-term surgical outcomes in AIS individuals undergoing PSF. Additionally, the impact of degree of prematurity at birth, along with differences across prematurity groups, were assessed with respect to short-term surgical outcomes, with the hypothesis that prematurity, as well as increasing degree of prematurity of birth, would be respectively associated with an increased incidence of short-term postoperative adverse outcomes.

2. Materials and Methods

The American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP)-Pediatric dataset was queried to identify AIS patients who underwent ≥7-level PSF from 2012–2016, using the International Classification of Diseases (ICD-9) code 737.30 and the Current Procedural Terminology (CPT) codes 22,802 and 22,804. The NSQIP variable “PREM_BIRTH” allowed for the identification of patients born before 37 weeks of gestation. Patients from this subset of all operative AIS patients were subsequently propensity score-matched to a cohort of full-term (≥37 weeks) individuals for age, sex, and number of spinal levels fused. Additionally, premature patients were further stratified by World Health Organization (WHO) preterm categories: extremely premature (<28 weeks), very premature (28 ≤ x < 32 weeks), moderate-to-late premature (32 ≤ x < 37 weeks), and term (≥37 weeks).

Age, sex, race, and baseline comorbidities were identified and compared between cohorts. Comorbidities evaluated included history of asthma, bronchopulmonary dysplasia/chronic lung diseases, structural pulmonary/airway abnormalities, esophageal/gastric/intestinal diseases, previous cardiac surgery, developmental delay/impaired cognitive status, seizure disorders, cerebral palsy, structural central nervous system abnormalities, and neuromuscular disorders. Cohorts were also compared for hospital-related and intraoperative variables, including total operative time and length of stay. Rates of complications, readmissions, and reoperations within the 30-day postoperative period were compared. Complications evaluated included superficial surgical site infections (SSI), wound dehiscence, deep space infections, pneumonia, urinary tract infection (UTI), renal insufficiency, transfusion, stroke/cerebrovascular accident, cardiac arrest, pulmonary embolism (PE), unplanned reintubation, acute renal failure, and sepsis.

Comparisons of baseline characteristics, hospital-related parameters, and readmission, reoperation, and complication rates between the premature and term cohorts were computed using appropriate parametric tests. Multivariate logistic regression evaluated independent outcome predictors utilizing prematurity group, age, sex, race, and individual baseline comorbidities as covariates. Univariate analysis with post hoc Bonferroni compared demographics, hospital parameters, and 30-day outcomes. All statistical calculations were performed in SPSS version 24.0 (IBM Corp., Armonk, NY, USA), and the threshold for statistical significance was set at p < 0.05.

3. Results

3.1. Demographics

A total of 5531 patients were included for analysis, of which 5099 (92.2%) were born at term and 432 (7.8%) were born premature. Of the 432 patients born premature, 250 (57.9%) were moderate-to-late premature, 101 (23.4%) were very premature, and 81 (18.8%) were extremely premature. Following propensity score-match, cohorts of 432 premature patients and 432 term patients were analyzed. Premature and term cohorts did not differ significantly by age, sex, and race. The average age was 14.1 years in the premature cohort and 14.4 years in the term cohort (p = 0.071) (Table 1). The premature cohort was 67.6% females compared to 64.4% females in the term cohort (p = 0.315). The premature cohort was 76.5% White and 21.8% Black, while the term cohort was 80.1% Black and 16.9% White (p = 0.109) (Table 1).

Table 1.

Demographics of premature and term AIS patients who underwent PSF from 2012–2016 propensity-score matched for age, sex, and levels fused.

Demographics Premature Term p-Value
Number 432 432
Age (years) 14.1 14.4 0.071
Sex Male 32.4% 35.6% 0.315
Female 67.6% 64.4%
Race White 76.5% 80.1% 0.109
Black 21.8% 16.9%
Other 1.7% 3.1%

3.2. Comorbidities and Hospital-Related Parameters

Significant differences in the rates of baseline comorbidities between the two cohorts were observed. Premature patients had significantly greater rates of neuromuscular disease (30.1% vs. 22.7%), asthma (12.5% vs. 5.8%), bronchopulmonary dysplasia/chronic lung disease (7.4% vs. 1.9%), esophageal/gastric/intestinal disease (15.0% vs. 7.2%), previous cardiac surgery (7.6% vs. 1.4%), seizure disorder (14.8% vs. 5.3%), structural CNS abnormality (19.7% vs. 7.6%), cerebral palsy (22.7% vs. 4.9%), and cognitive impairment (36.3% vs. 11.6%), all p < 0.05 (Table 2).

Table 2.

Baseline comorbidities of propensity-score matched premature and term AIS patients who underwent PSF from 2012–2016. Bold values are statistically significant (p < 0.05).

Baseline Comorbidities Premature Term p-Value
Neuromuscular Disorder 30.1% 22.7% 0.014
Asthma 12.5% 5.8% 0.001
Chronic Lung Disease 7.4% 1.9% <0.001
Structural Pulmonary/Airway Abnormalities 6.7% 3.9% 0.069
Esophageal/Gastrointestinal Disease 15.0% 7.2% <0.001
Previous Cardiac Surgery 7.6% 1.4% <0.001
Seizure Disorder 14.8% 5.3% <0.001
Structural CNS Abnormality 19.7% 7.6% <0.001
Cerebral Palsy 22.7% 4.9% <0.001
Cognitive Impairment 36.3% 11.6% <0.001

Evaluating for hospital-related parameters, the premature cohort had a significantly higher average American Society of Anesthesiologists (ASA) classification than the term cohort (ASA III: 36.1% vs. 19.0%, respectively; p < 0.001), as well as a longer average length of stay (6.5 days vs. 5.6 days, respectively; p = 0.045) (Table 3). There was no difference in operative time (premature: 305.1 vs. term: 296.3 min, p = 0.252) or fusion length (premature: 43.3% vs. term: 39.4% ≥13-level fusions, p = 0.240) between the two cohorts.

Table 3.

Baseline comorbidities, hospital parameters, and outcomes across term (≥37 weeks), and preterm (includes MLP, VP, and EP) patients. Bold values are statistically significant (p < 0.05).

Operative and Hospital Related Parameters Term Preterm p-Value
ASA Classification
  I 20.6% 8.3% <0.001
  II 58.6% 53.7%
  III 19.0% 36.1%
  IV 1.9% 1.6%
  V 0% 0%
Operative Time (minutes) 296.3 305.1 0.252
Hospital Length of Stay (days) 5.6 6.5 0.045
Fusion Length
  7–12 Levels 60.6% 56.7% 0.240
  ≥13 Levels 39.4% 43.3%
30-Day Complications 4.2% 6.3% 0.168
  Superficial Incisional SSI 0.7% 0.9% 0.704
  Wound Dehiscence 0.7% 1.2% 0.477
  Deep Space Infections 0.9% 2.1% 0.162
  Pneumonia 0.9% 0.2% 0.178
  Urinary Tract Infection 0.5% 1.2% 0.255
  Renal Insufficiency 0% 0.5% 0.157
30-Day Reoperations 2.3% 4.6% 0.063
30-Day Readmissions 3.2% 11.0% 0.003

When comparing the 432 premature patients across their various degree of prematurity subgroups to the 5099 patients born at term, extremely premature patients had significantly higher baseline rates of the following comorbidities than very premature, moderate-to-late premature, and term patients, respectively (Table 4): neuromuscular disorder (44.4% vs. 35.6%, 23.2%, and 14.5%), esophageal/GI disease (23.5% vs. 14.9%, 12.4%, and 5.4%), structural CNS abnormalities (32.1% vs. 24.8%, 13.6%, and 8.9%), cerebral palsy (45.7% vs. 31.7%, 11.6%, and 4.0%), cognitive impairment (58.0% vs. 41.6%, 27.2%, and 11.0%), asthma (19.8% vs. 12.9%, 10.0%, and 7.3%), chronic lung disease (19.8% vs. 4.0%, 4.8%, and 1.6%), and structural pulmonary/airway abnormalities (9.9% vs. 4.0%, 6.8%, and 3.0%; all p < 0.001). In the extremely premature cohort, 51.9% of patients were ASA Class 3, while the majority of patients in each of the very premature, moderate-to-late premature, and term cohorts were ASA I or II (p < 0.001). The proportion of patients who underwent ≥13-level fusions progressively increased with the degree of prematurity, as the term cohort underwent ≥13-level fusions for 30.2% of PSFs, while the moderate-to-late premature, very premature, and extremely premature patients underwent ≥13-level fusions 40.0%, 43.6%, and 53.1% of the time, respectively (p < 0.001). By extension, the operative time also increased with the degree of prematurity, with the average PSF taking 278.2 min in the term cohort, and taking 295.2, 310.2, and 329.3 min in the moderate-to-late premature, very premature, and extremely premature cohorts, respectively (p < 0.001).

Table 4.

Baseline comorbidities, hospital parameters, and outcomes across term (≥37 weeks), and moderate-to-late prematurity (MLP, 32 ≤ x < 37 weeks), very premature (VP, 28 ≤ x < 32 weeks), and extremely premature (EP, <28 weeks). Bold values are statistically significant (p < 0.05).

Term Moderate-to-Late Premature Very Premature Extremely Premature p-Value
Number of Patients 5099 250 101 81
Baseline Comorbidities
  Neuromuscular Disorder 14.5% 23.2% 35.6% 44.4% <0.001
  Asthma 7.3% 10.0% 12.9% 19.8% <0.001
  Chronic Lung Disease 1.6% 4.8% 4.0% 19.8% <0.001
  Structural Pulmonary/Airway Abnormalities 3.0% 6.8% 4.0% 9.9% <0.001
  Esophageal/GI Disease 5.4% 12.4% 14.9% 23.5% <0.001
  Previous Cardiac Surgery 2.2% 7.2% 8.9% 7.4% <0.001
  Seizure Disorder 5.0% 9.6% 22.8% 21.0% <0.001
  Structural CNS Abnormality 8.9% 13.6% 24.8% 32.1% <0.001
  Cerebral Palsy 4.0% 11.6% 31.7% 45.7% <0.001
  Cognitive Impairment 11.0% 27.2% 41.6% 58.0% <0.001
ASA Classification
  1 22.9% 8.4% 6.9% 9.9% <0.001
  2 58.9% 61.2% 48.5% 37.0%
  3 17.3% 28.8% 41.6% 51.9%
  4 0.8% 1.2% 3.0% 1.2%
  5 0.0% 0.0% 0.0% 0.0%
Operative Time (minutes) 278.2 295.2 310.2 329.3 <0.001
Fusion Length
  7–12 Levels 69.8% 60.0% 56.4% 46.9% <0.001
  ≥13 Levels 30.2% 40.0% 43.6% 53.1%
Length of Stay (days) 5.1 4.9 5.9 6.5 0.040

3.3. Outcomes

When comparing the propensity score-matched cohorts of 432 premature and 432 term patients, premature patients experienced significantly higher rates of readmission within the 30-day postoperative period than patients born at term (11.0% vs. 3.2%; p = 0.003) (Table 3).

There was, however, not a significant difference in 30-day postoperative complication rate (premature: 6.3% vs. term: 4.2%, p = 0.168) or reoperation rate (premature: 4.6% vs. term: 2.3%, p = 0.063) between these two cohorts. Amongst complications, premature patients had higher rates than term patients of superficial SSI (0.9% vs. 0.7%), wound dehiscence (1.2% vs. 0.7%), deep space infections (2.1% vs. 0.9%), UTIs (1.2% vs. 0.5%), and renal insufficiency (0.5% vs. 0%), although these failed to reach significance (p > 0.05, all).

When multivariate regression analysis was performed, prematurity was a predictor for overall infection (OR: 2.4, 95% CI: 1.03–5.5, p = 0.043), but not a significant predictor of total complications, readmissions, reoperations, deep space infections, or superficial SSI or wound dehiscence (Table 5). When evaluating comorbidities, baseline cognitive impairment was a predictor for total complications (OR: 4.3, 95% CI: 1.7–10.6, p = 0.002) and reoperations (OR: 4.0, 95% CI: 1.3–12.8, p = 0.018), but not readmissions (OR: 3.0, 95% CI: 0.7–12.5, p = 0.142). Neuromuscular disease, cerebral palsy, structural pulmonary/airway abnormality, asthma, chronic lung disease, seizure disorder, esophageal/GI disease, and previous cardiac surgery were not significant predictors for 30-day complications, readmissions, or reoperations.

Table 5.

Prematurity and baseline cognitive impairment, neuromuscular disease, cerebral palsy, previous cardiac surgery, structural pulmonary/airway abnormality, asthma, chronic lung disease, seizure disorder, and esophageal/GI disease) as predictive factors for 30-day postoperative complications, readmission, and reoperations in propensity-score matched premature and term patients who underwent PSF for AIS. Bold values are statistically significant (p < 0.05).

Multivariate Regression Analysis OR 95% CI p-Value
Premature
  Total Complications 0.8 0.4–1.6 0.460
  Readmissions 2.0 0.7–6.1 0.218
  Reoperation 1.1 0.5–2.7 0.834
  Overall Infection 2.4 1.03–5.5 0.043
  Deep Space Infections 3.1 0.98–9.7 0.055
  Superficial SSI or Dehiscence 1.3 0.4–3.8 0.633
Cognitive Impairment
  Total Complications 4.3 1.7–10.6 0.002
  Readmissions 3.0 0.7–12.5 0.142
  Reoperation 4.0 1.3–12.8 0.018

When subgroups of prematurity were analyzed and compared to the 5099 patients born at term, the very premature cohort had a greater 30-day complication rate than the term, moderate-to-late premature, and extremely premature cohorts (9.9% vs. 2.9%, 5.6%, and 3.7%, respectively; p < 0.001) (Table 6). Specifically, very premature patients experienced the highest rate of superficial incisional SSIs (2.0%), dehiscence (3.0%), and UTIs (3.0%; all p < 0.004). Moderate-to-late premature patients had the highest rate of deep space infection (2.4%) and renal insufficiency (0.8%; all p < 0.009). Furthermore, the very premature cohort experienced greater 30-day reoperation rates than the extremely premature, moderate-to-late premature, and term cohorts (5.9% vs. 2.5%, 4.8%, and 2.2%, respectively; p = 0.007). Readmission rates within the 30-day postoperative period increased with increasing degree of prematurity (term: 3.1%, moderate-to-late premature: 8.3%, very premature: 14.3%, extremely premature: 18.2%; p < 0.001).

Table 6.

Postoperative outcomes across Term (≥37 weeks), and moderate-to-late prematurity (32 ≤ x < 37 weeks), very premature (28 ≤ x < 32 weeks), and extremely premature (<28 weeks). Difference in superscript letters indicates inter-group differences (p < 0.05). Bold values are statistically significant (p < 0.05).

Term Moderate-to-Late Premature Very Premature Extremely Premature p-Value
Number of Patients 5099 250 101 81
30-Day Complications 2.9% a 5.6% a,b 9.9% b 3.7% a,b <0.001
  Superficial Incisional SSI 0.5% a 0.8% a 2.0% a 0.0% a 0.194
  Wound Dehiscence 0.5% a 0.4% a,b 3.0% b 1.2% a,b 0.004
  Deep Space Infection 0.6% a 2.4% b 2.0% a,b 1.2% a,b 0.002
  Pneumonia 0.6% a 0.0% a 1.0% a 0.0% a 0.523
  Urinary Tract Infection 0.4% a 0.8% a,b 3.0% b 0.0% a,b 0.001
  Renal Insufficiency 0.1% a 0.8% b 0.0% a,b 0.0% a,b 0.009
30-Day Reoperations 2.2% a 4.8% b 5.9% a,b 2.5% a,b 0.007
30-Day Readmissions 3.1% b 8.3% a,b 14.3% a,b 18.2% b 0.002

When multivariate regression analysis was performed, very premature birth history predicted UTIs, superficial SSI/wound dehiscence, and any infection (OR = 9.8, 4.4, and 4.4), and moderate-to-late premature predicted renal insufficiency, deep space infections, and any infection (OR = 9.7, 5.2, and 3.3), all p < 0.05. No associations were identified between extreme prematurity at birth and 30-day adverse outcomes (Table 7).

Table 7.

Extremely premature (<28 weeks), very premature (28 ≤ x < 32 weeks), and moderate-to-late prematurity (32 ≤ x < 37 weeks) as predictive factors for 30-day postoperative complications, readmission, and reoperations in premature patients who underwent PSF for AIS. Bold values are statistically significant (p < 0.05).

Multivariate Regression Analysis OR 95% CI p-Value
Extremely Premature
Total Complications 0.4 0.1–1.4 0.144
  Readmissions 4.3 0.7–27.6 0.126
  Reoperation 0.5 0.1–2.3 0.399
  Overall Infection 1.9 0.5–8.0 0.377
  Deep Space Infections 4.0 0.9–17.2 0.062
  Superficial Infection or Dehiscence 0.7 0.2–19.9 0.757
Very Premature
  Total Complications 1.6 0.7–3.3 0.250
  Readmissions 3.1 0.5–20.8 0.249
  Reoperation 1.5 0.6–3.8 0.351
  Overall Infection 4.4 1.9–10.5 <0.001
  Deep Space Infections 3.0 0.7–12.7 0.143
  Superficial Infection or Dehiscence 4.4 1.5–12.7 0.006
  Urinary Tract Infection 9.8 2.8–34.3 <0.001
Moderate-to-Late Prematurity
  Total Complications 1.2 0.6–2.2 0.613
  Readmissions 1.7 0.5–5.9 0.381
  Reoperation 1.6 0.8–3.0 0.173
  Overall Infection 3.3 1.7–6.3 <0.001
  Deep Space Infections 5.2 2.2–11.4 <0.001
  Superficial Infection or Dehiscence 1.3 0.4–4.2 0.663
  Renal Insufficiency 9.7 1.8–53.7 0.009
  Urinary Tract Infection 2.4 0.5–10.3 0.253

4. Discussion

Adolescent idiopathic scoliosis is the most common form of scoliosis, with prevalence estimates of up to 5.2% of the population [9]. Although AIS has been shown to have an association with premature birth, postoperative complications following spinal fusions in this population are not well studied. In this investigation, prematurity was identified as a predictor for 30-day complications, readmissions, and reoperations in AIS patients undergoing PSF.

Surgical correction of AIS has reported complication rates of up to 15.4% [23]. Other studies have more specifically shown infection rates in patients undergoing spinal fusion for AIS ranging from 0.71% to 6.9% [23,24,25,26]. In this study, comparing propensity score-matched cohorts, patients born at term had a total complication rate of 4.2% within the 30-day postoperative period, while premature patients had a total complication rate of 6.3%, although this failed to reach significance (p = 0.168). The current study identified that prematurity was a significant predictor of overall infection in patients undergoing PSF for AIS, with an odds ratio of 2.4 (95% CI: 1.03–5.5, p = 0.043). Furthermore, when premature patients were sub-analyzed according to degrees of prematurity, very premature was a predictor for overall infection, superficial surgical site infection, and UTIs, while moderate-to-late prematurity was a predictor for overall infection, deep space infections, and renal insufficiency.

A possible explanation for the association between prematurity and infection risk is the burden of comorbidities in this population. Premature birth has a well-studied association with various comorbidities, including but not limited to cardiac, pulmonary, neurological, and cognitive deficiencies, as we expectedly observed the preterm cohorts to possess greater rates of comorbidities than the cohort born at term [6,7,8,19,27,28]. The comorbidity rates were especially pronounced in the extremely premature subgroup of prematurity, which possessed significantly higher rates of asthma, chronic lung disease, structural pulmonary abnormality, esophageal/GI disease, cognitive impairment, cerebral palsy, structural CNS abnormality, and neuromuscular disorders than the very premature, moderate-to-late premature, and term cohorts. Subsequently, the present study expectedly found the Premature cohort to have a significantly higher average ASA classification than term patients. Past studies have specifically related ASA classification to the risk of developing a surgical site infection after PSF in pediatric patients [29,30]. The higher average comorbidity burden and ASA scores in the premature cohort likely contributed to the higher rate of total infections and readmissions compared to the propensity score-matched cohort born at term. While no individual comorbidity was associated with an increased risk of complications, the overall increased comorbidity burden may contribute to these findings. The higher postoperative infection rate is potentially due to inherent deficiencies in the immune response of premature individuals, as premature birth is known to be associated with underdeveloped immune systems, limiting a newborn’s potential to combat pathogens and infections, with evidence suggesting this population continues to have limitations in immune response throughout life when compared to individuals born at term [31,32,33,34].

Of the baseline comorbidities examined in the current study, baseline cognitive impairment was a predictor for complications (OR = 4.3) and reoperations (OR = 4.0) (all p < 0.05). The study also found that neuromuscular disease, cerebral palsy, structural pulmonary/airway abnormality, asthma, bronchopulmonary dysplasia/chronic lung disease, seizure disorder, esophageal/GI disease, and previous cardiac surgery were not significant predictors for complications, readmissions, or reoperations in our patient population. Studies have suggested that there may be an increased prevalence of scoliosis in patients with neurological and/or cognitive impairment, potentially due to deficiencies in muscle tone [35,36]. Cerebral palsy, specifically, has been shown to have a high association with scoliosis with subsequently high rates of complications during corrective surgeries [37,38]. The current findings suggest that cerebral palsy in itself might not be a predictor for increased complication rates in premature patients with AIS who underwent PSF, but rather that the increased complication rates may be due to other comorbidities affecting this population. Furthermore, several studies have demonstrated increased incidences of scoliosis in pediatric patients who underwent thoracic surgeries, particularly reconstructive cardiothoracic or esophageal surgeries, although the management and outcomes of these patients’ scoliosis were rarely examined [11,39,40].

Since the existing literature shows that a higher number of levels being fused is a predictor of increased complications, it was important that this was accounted for in the propensity score-match of premature and term cohorts [30,41]. When premature subgroups were analyzed, increasing rates of ≥13-level PSFs were found with increasing degrees of prematurity, with only the extremely premature cohort experiencing higher rates of ≥13-level PSFs. The study did find the extremely premature cohort to experience the highest rate of readmission, but the very premature cohort experienced the highest rate of total complications and reoperations. Further studies are ultimately warranted to explore the relationship between the extent of level fusion and complications in this specific patient population.

This study has limitations consistent with any study of a retrospective nature. Furthermore, study data were limited to the NSQIP participating institutions, which does not represent the entire AIS premature population undergoing PSF, and the outcome variables were restricted to the 30-day postoperative follow-up, potentially missing complications arising beyond that interval of time. For example, Bartley et al. [42] reported a 2.6% rate of major complications within six weeks of PSF for AIS, and a 4.1% rate of major complications within two years and reported that the majority of the delayed complications were related to the wound or instrumentation. There are also limitations inherent to NSQIP studies, namely inconsistencies in the coding of diagnoses and procedures as well as in the exclusion of patient factors that may be clinically relevant to this study. For example, curve magnitude and curve type were not available, as no radiographic data is included in the NSQIP; thus, this could not be analyzed as a potential predictor of complication rates due to limitations with the database. All patients who were included in this study were diagnosed with AIS, with the associated coding, at the primary reporting centers by their respective treating surgeons; an assumption must be made that this is truly AIS, without the ability to confirm this with clinical or radiographic data; thus, this serves as a limitation of this study, as there is a degree of baseline comorbidities that overlap with the neuromuscular scoliosis patient population. Additionally, the limited sample size available for this study for the extreme prematurity cohort potentially underpowered its analysis. Despite these limitations, our study provides valuable information by highlighting prematurity at birth as a risk factor for short-term postoperative complications for AIS patients undergoing PSF.

This study found prematurity at birth was associated with higher rates of 30-day postoperative readmissions as well as a predictor for postoperative infections in AIS patients who underwent posterior spinal fusions. It also found that baseline cognitive impairment was a predictor of total complications and reoperations in this patient population. Recognizing prematurity and associated comorbidities as risk factors for postoperative complications may better allow spine surgeons and medical providers to optimize this patient population in the perioperative period to potentially result in more favorable outcomes.

Author Contributions

Conceptualization, N.V.S., C.B.P. and B.G.D.; methodology, N.V.S., M.C., F.J.S., V.L., C.B.P. and B.G.D.; software, N.V.S., C.B.P. and B.G.D.; validation, N.V.S., A.M.D., P.G.P., F.J.S., V.L., C.B.P. and B.G.D.; formal analysis, N.V.S., M.C., A.J.W., B.F., D.J.K., N.S.K., C.P.I., S.G. and N.P.; investigation, N.V.S., M.C., A.J.W., B.F., D.J.K., N.S.K., C.P.I., S.G. and N.P.; resources, N.V.S., C.B.P. and B.G.D.; data curation N.V.S., M.C., A.J.W., B.F., D.J.K., N.S.K., C.P.I., S.G. and N.P.; writing—original draft preparation, N.V.S., M.C., A.J.W. and B.F.; writing—review and editing, D.J.K., N.S.K., C.P.I., S.G., N.P., A.M.D., P.G.P., F.J.S., V.L., C.B.P. and B.G.D.; visualization, N.V.S., M.C., A.J.W., B.F., D.J.K., N.S.K., C.P.I., S.G., N.P., A.M.D., P.G.P., F.J.S., V.L., C.B.P. and B.G.D.; supervision, A.M.D., P.G.P., F.J.S., V.L., C.B.P. and B.G.D.; project administration, N.V.S., C.B.P. and B.G.D. All authors have read and agreed to the published version of the manuscript.

Institutional Review Board Statement

The authors’ institutional review board (IRB) deemed this study exempt due to the de-identified nature of the patient data reviewed.

Informed Consent Statement

N/A—use of database only.

Data Availability Statement

Publicly available datasets were analyzed in this study, which can be obtained via the ACS.

Conflicts of Interest

The authors declare no conflict of interest. M.C.—Stock or stock Options—Johnson & Johnson, Roche, Sanofi-Aventis, Shire. V.L.—Paid consultant—Alphatec Spine DePuy, Stryker; Paid presenter or speaker—Johnson & Johnson Company; Editorial or governing board—European Spine Journal; Paid con-sultant—Globus Medical; Board or committee member—International Spine Study Group; IP roy-alties—NuVasive; Board or committee member—Scoliosis Research Society. C.B.P.—Paid presenter or speaker—DePuy, A Johnson & Johnson Company, Ethicon. P.G.P.—grant funding from CSRS, speaker and consultant honoraria from Globus Medical, Medicrea, SpineWave, and Zimmer, and other financial support from Allosource. F.J.S.—grant funding from DePuy, NuVasive, Allosource, K2M, Medtronic, and Si Bone, speaker and consultant honoraria from Globus Medical, Mainstay Medical, Medtronic, and ZimmerBiomet, royalties from Medicrea, Medtronic, and Zimmer, and serves on boards or committees for SRS, Spine Deformity, and ISSG. For the remaining authors, there were no disclosures to report.

Funding Statement

This research received no external funding.

Footnotes

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References

  • 1.Frey H.A., Klebanoff M.A. The epidemiology, etiology, and costs of preterm birth. Semin. Fetal Neonatal Med. 2016;21:68–73. doi: 10.1016/j.siny.2015.12.011. [DOI] [PubMed] [Google Scholar]
  • 2.Mangham L.J., Petrou S., Doyle L.W., Draper E.S., Marlow N. The Cost of Preterm Birth Throughout Childhood in England and Wales. Pediatrics. 2009;123:e312–e327. doi: 10.1542/peds.2008-1827. [DOI] [PubMed] [Google Scholar]
  • 3.Johnston K.M., Gooch K., Korol E., Vo P., Eyawo O., Bradt P., Levy A. The economic burden of prematurity in Canada. BMC Pediatr. 2014;14:93. doi: 10.1186/1471-2431-14-93. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Kwinta P., Pietrzyk J.J. Preterm birth and respiratory disease in later life. Expert Rev. Respir. Med. 2010;4:593–604. doi: 10.1586/ers.10.59. [DOI] [PubMed] [Google Scholar]
  • 5.Bavineni M., Wassenaar T.M., Agnihotri K., Ussery D.W., Lüscher T.F., Mehta J.L. Mechanisms linking preterm birth to onset of cardiovascular disease later in adulthood. Eur. Heart J. 2019;40:1107–1112. doi: 10.1093/eurheartj/ehz025. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Axelrod D.M., Chock V.Y., Reddy V.M. Management of the Preterm Infant with Congenital Heart Disease. Clin. Perinatol. 2016;43:157–171. doi: 10.1016/j.clp.2015.11.011. [DOI] [PubMed] [Google Scholar]
  • 7.Kumar K.R., Clark D.A., Kim E.M., Perry J.D., Wright K., Thomas S.A., Thompson E.J., Greenberg R.G., Smith P.B., Benjamin D.K., et al. Association of Atrial Septal Defects and Bronchopulmonary Dysplasia in Premature Infants. J. Pediatr. 2018;202:56–62.e2. doi: 10.1016/j.jpeds.2018.07.024. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Chu P.Y., Li J.S., Kosinski A.S., Hornik C.P., Hill K.D. Congenital Heart Disease in Premature Infants 25-32 Weeks’ Gestational Age. J. Pediatr. 2017;181:37–41.e1. doi: 10.1016/j.jpeds.2016.10.033. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Konieczny M.R., Senyurt H., Krauspe R. Epidemiology of adolescent idiopathic scoliosis. J. Child. Orthop. 2013;7:3–9. doi: 10.1007/s11832-012-0457-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Fadzan M., Bettany-Saltikov J. Etiological Theories of Adolescent Idiopathic Scoliosis: Past and Present. Open Orthop. J. 2017;11:1466–1489. doi: 10.2174/1874325001711011466. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Mery C.M., Guzmán-Pruneda F.A., De León L.E., Zhang W., Kuo F.H., Carpenter K.L., Stringer L.D., Adachi I., Heinle J.S., McKenzie E.D., et al. Risk Factors for Development and Progression of Scoliosis after Pediatric Cardiothoracic Operations. Ann. Thorac. Surg. 2018;105:1835–1841. doi: 10.1016/j.athoracsur.2018.01.017. [DOI] [PubMed] [Google Scholar]
  • 12.Grivas T., Dangas S., Polyzois B.D., Samelis P. The Double Rib Contour Sign (DRCS) in lateral spinal radiographs: Aetiologic implications for scoliosis. Stud. Health Technol. Inform. 2002;88:38–43. [PubMed] [Google Scholar]
  • 13.Burwell R.G., Aujla R.K., Grevitt M.P., Dangerfield P.H., Moulton A., Randell T.L., Anderson S.I. Pathogenesis of adolescent idiopathic scoliosis in girls—A double neuro-osseous theory involving disharmony between two nervous systems, somatic and autonomic expressed in the spine and trunk: Possible dependency on sympathetic nervous system and hormones with implications for medical therapy. Scoliosis. 2009;4:24. doi: 10.1186/1748-7161-4-24. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Nachemson A.L., Sahlstrand T. Etiologic Factors in Adolescent Idiopathic Scoliosis. Spine. 1977;2:176–184. doi: 10.1097/00007632-197709000-00003. [DOI] [Google Scholar]
  • 15.Asher M.A., Burton D.C. Adolescent idiopathic scoliosis: Natural history and long term treatment effects. Scoliosis. 2006;1:2–10. doi: 10.1186/1748-7161-1-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Kotwicki T., Chowanska J., Kinel E., Czaprowski D., Janusz P., Tomaszewski M. Optimal management of idiopathic scoliosis in adolescence. Adolesc. Health Med. Ther. 2013;4:59–73. doi: 10.2147/AHMT.S32088. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Helenius I. Anterior surgery for adolescent idiopathic scoliosis. J. Child. Orthop. 2013;7:63–68. doi: 10.1007/s11832-012-0467-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Geck M.J., Rinella A., Hawthorne D., Macagno A., Koester L., Sides B., Bridwell K., Lenke L., Shufflebarger H. Comparison of Surgical Treatment in Lenke 5C Adolescent Idiopathic Scoliosis: Anterior Dual Rod Versus Posterior Pedicle Fixation Surgery: A comparison of two practices. Spine. 2009;34:1942–1951. doi: 10.1097/BRS.0b013e3181a3c777. [DOI] [PubMed] [Google Scholar]
  • 19.Desai J., Aggarwal S., Lipshultz S., Agarwal P., Yigazu P., Patel R., Seals S., Natarajan G. Surgical Interventions in Infants Born Preterm with Congenital Heart Defects: An Analysis of the Kids’ Inpatient Database. J. Pediatr. 2017;191:103–109.e4. doi: 10.1016/j.jpeds.2017.07.015. [DOI] [PubMed] [Google Scholar]
  • 20.Howard P.J., Worrell C.H. Premature infants in later life; study of intelligence and personality of 22 premature infants at ages 8 to 19 years. Pediatrics. 1952;9:577–584. doi: 10.1542/peds.9.5.577. [DOI] [PubMed] [Google Scholar]
  • 21.Wynne-Davies R. Infantile idiopathic scoliosis. Causative factors, particularly in the first six months of life. J. Bone Jt. Surg. Br. 1975;57:138–141. doi: 10.1302/0301-620X.57B2.138. [DOI] [PubMed] [Google Scholar]
  • 22.Talasila S.S.A., Gorantla M., Thomas V. A study on screening for scoliosis among school children in the age group of 10-14 using a cost effective and an innovative technique. Int. J. Community Med. Public Health. 2017;4:2118. doi: 10.18203/2394-6040.ijcmph20172187. [DOI] [Google Scholar]
  • 23.Carreon L.Y., Puno R.M., Lenke L.G., Richards B.S., Sucato D.J., Emans J.B., Erickson M.A. Non-Neurologic Complications Following Surgery for Adolescent Idiopathic Scoliosis. J. Bone Jt. Surg. Am. 2007;89:2427–2432. doi: 10.2106/00004623-200711000-00013. [DOI] [PubMed] [Google Scholar]
  • 24.Kamath V.H.D., Cheung J.P.Y., Mak K.C., Wong Y.W., Cheung W.Y., Luk K.D.K., Cheung K.M.C. Antimicrobial prophylaxis to prevent surgical site infection in adolescent idiopathic scoliosis patients undergoing posterior spinal fusion: 2 doses versus antibiotics till drain removal. Eur. Spine J. 2016;25:3242–3248. doi: 10.1007/s00586-016-4491-7. [DOI] [PubMed] [Google Scholar]
  • 25.Coe J.D., Arlet V., Donaldson W., Berven S., Hanson D.S., Mudiyam R., Perra J.H., Shaffrey C.I. Complications in Spinal Fusion for Adolescent Idiopathic Scoliosis in the New Millennium. A Report of the Scoliosis Research Society Morbidity and Mortality Committee. Spine. 2006;31:345–349. doi: 10.1097/01.brs.0000197188.76369.13. [DOI] [PubMed] [Google Scholar]
  • 26.Rihn J.A., Lee J.Y., Ward W.T. Infection after the Surgical Treatment of Adolescent Idiopathic Scoliosis: Evaluation of the diagnosis, treatment, and impact on clinical outcomes. Spine. 2008;33:289–294. doi: 10.1097/BRS.0b013e318162016e. [DOI] [PubMed] [Google Scholar]
  • 27.Davidson L.M., Berkelhamer S.K. Bronchopulmonary Dysplasia: Chronic Lung Disease of Infancy and Long-Term Pulmonary Outcomes. J. Clin. Med. 2017;6:4. doi: 10.3390/jcm6010004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Manchego P.A., Cheung M., Zannino D., Nunn R., D’Udekem Y., Brizard C. Audit of Cardiac Surgery Outcomes for Low Birth Weight and Premature Infants. Semin. Thorac. Cardiovasc. Surg. 2018;30:71–78. doi: 10.1053/j.semtcvs.2018.02.013. [DOI] [PubMed] [Google Scholar]
  • 29.Linam W.M., Margolis P.A., Staat M.A., Britto M.T., Hornung R., Cassedy A., Connelly B.L. Risk Factors Associated with Surgical Site Infection after Pediatric Posterior Spinal Fusion Procedure. Infect. Control Hosp. Epidemiol. 2009;30:109–116. doi: 10.1086/593952. [DOI] [PubMed] [Google Scholar]
  • 30.Rao S.B., Vasquez G., Harrop J., Maltenfort M., Stein N., Kaliyadan G., Klibert F., Epstein R., Sharan A., Vaccaro A., et al. Risk Factors for Surgical Site Infections Following Spinal Fusion Procedures: A Case-Control Study. Clin. Infect. Dis. 2011;53:686–692. doi: 10.1093/cid/cir506. [DOI] [PubMed] [Google Scholar]
  • 31.Melville J.M., Moss T.J.M. The immune consequences of preterm birth. Front. Neurosci. 2013;7:79. doi: 10.3389/fnins.2013.00079. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Catania V.D., Boscarelli A., Lauriti G., Morini F., Zani A. Risk Factors for Surgical Site Infection in Neonates: A Systematic Review of the Literature and Meta-Analysis. Front. Pediatr. 2019;7:101. doi: 10.3389/fped.2019.00101. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Perin M.C.A.A., Schlindwein C.F., de Moraes-Pinto M.I., Simão-Gurge R.M., Mimica A.F.D.M.A., Goulart A.L., dos Santos A.M.N. Immune response to tetanus booster in infants aged 15 months born prematurely with very low birth weight. Vaccine. 2012;30:6521–6526. doi: 10.1016/j.vaccine.2012.08.056. [DOI] [PubMed] [Google Scholar]
  • 34.Kirmani K.I., Lofthus G., Pichichero M.E., Voloshen T., D’Angio C.T. Seven-Year Follow-up of Vaccine Response in Extremely Premature Infants. Pediatrics. 2002;109:498–504. doi: 10.1542/peds.109.3.498. [DOI] [PubMed] [Google Scholar]
  • 35.Downs J., Torode I., Wong K., Ellaway C., Elliott E., Christodoulou J., Jacoby P., Thomson M.R., Izatt M., Askin G., et al. The Natural History of Scoliosis in Females with Rett Syndrome. Spine. 2016;41:856–863. doi: 10.1097/BRS.0000000000001399. [DOI] [PubMed] [Google Scholar]
  • 36.Gu Y., Shelton J.E., Ketchum J.M., Cifu D.X., Palmer D., Sparkman A., Jermer-Gu M.K., Mendigorin M. Natural History of Scoliosis in Nonambulatory Spastic Tetraplegic Cerebral Palsy. PM R. 2011;3:27–32. doi: 10.1016/j.pmrj.2010.09.015. [DOI] [PubMed] [Google Scholar]
  • 37.McCarthy J.J., D’andrea L.P., Betz R.R., Clements D.H. Scoliosis in the Child with Cerebral Palsy. J. Am. Acad. Orthop. Surg. 2006;14:367–375. doi: 10.5435/00124635-200606000-00006. [DOI] [PubMed] [Google Scholar]
  • 38.Broom M.J., Banta J.V., Renshaw T.S. Spinal fusion augmented by luque-rod segmental instrumentation for neuromuscular scoliosis. J. Bone Jt. Surg. 1989;71:32–44. doi: 10.2106/00004623-198971010-00007. [DOI] [PubMed] [Google Scholar]
  • 39.Sistonen S.J., Helenius I., Peltonen J., Sarna S., Rintala R.J., Pakarinen M.P. Natural History of Spinal Anomalies and Scoliosis Associated with Esophageal Atresia. Pediatrics. 2009;124:e1198–e1204. doi: 10.1542/peds.2008-3704. [DOI] [PubMed] [Google Scholar]
  • 40.Van Biezen F.C., Bakx P.A., De Villeneuve V.H., Hop W.C. Scoliosis in children after thoracotomy for aortic coarctation. J. Bone Jt. Surg. 1993;75:514–518. doi: 10.2106/00004623-199304000-00006. [DOI] [PubMed] [Google Scholar]
  • 41.Deyo R.A., Mirza S.K., Martin B.I., Kreuter W., Goodman D.C., Jarvik J.G. Trends, Major Medical Complications, and Charges Associated with Surgery for Lumbar Spinal Stenosis in Older Adults. JAMA. 2010;303:1259–1265. doi: 10.1001/jama.2010.338. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Bartley C.E., Yaszay B., Bastrom T.P., Shah S.A., Lonner B.S., Asghar J., Miyanji F., Samdani A., Newton P.O. Perioperative and Delayed Major Complications Following Surgical Treatment of Adolescent Idiopathic Scoliosis. J. Bone Jt. Surg. Am. 2017;99:1206–1212. doi: 10.2106/JBJS.16.01331. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

Publicly available datasets were analyzed in this study, which can be obtained via the ACS.


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