Does the American College of Surgeons National Surgical Quality Improvement Program pediatric provide actionable quality improvement data for surgical neonates?

Population-based prevalence study of common congenital malformations of the alimentary tract and abdominal wall in Thailand: a study using data from the National Health Security Office

Background

The study aimed to estimate the prevalence of major congenital anomalies of the alimentary system and the abdominal wall in Thailand using a nationwide hospital discharge database from the National Health Security Office (2017-2020).

Methods

The study extracted data from records with International Classification of Diseases-10 (ICD-10) codes related to esophageal malformation (ESO), congenital duodenal obstruction (CDO), jejunoileal atresia (INTES), Hirschsprung's disease (HSCR), anorectal malformation (ARM), abdominal wall defects (omphalocele (OMP) and gastroschisis (GAS)), and diaphragmatic hernia from the database with patient age selection set to less than 1 year.

Results

A total of 2539 matched ICD-10 records were found in 2376 individuals over the 4-year study period. Concerning foregut anomalies, the prevalence of ESO was 0.88/10 000 births, while that of CDO was 0.54/10 000 births. The prevalence figures of INTES, HSCR, and ARM were 0.44, 4.69, and 2.57 cases per 10 000 births, respectively. For abdominal wall defects, the prevalences of OMP and GAS were 0.25 and 0.61 cases/10 000 births, respectively. The mortality in our cases was 7.1%, and survival analysis found that associated cardiac defects had a statistically significant influence on survival in most anomalies studied. In HSCR, both Down syndrome (DS) (hazard ratio (HR)=7.57, 95% confidence interval (CI)=4.12 to 13.91, p<0.001) and cardiac defects (HR=5.82, 95% CI=2.85 to 11.92, p<0.001) were significantly associated with poorer survival outcomes. However, only DS (adjusted HR=5.55, 95% CI=2.63 to 11.75, p<0.001) independently predicted worse outcomes by multivariable analysis.

Conclusions

Our analysis of the hospital discharge database found that the prevalence of gastrointestinal anomalies in Thailand was lower than that reported in other countries, except for HSCR and anorectal malformations. Associated Down syndrome and cardiac defects influence the survival outcomes of these anomalies.

Epidemiologic and clinical characteristics of selected congenital anomalies at the largest Bosnian pediatric surgery tertiary center

Congenital anomalies (CA) are any abnormality present at birth, either structural or functional, that may potentially affect an infant's health, development, and/or survival. There is a paucity of studies on clinical characteristics and outcomes of CA in Bosnia and Herzegovina, mainly due to the lack of a nationwide congenital malformations monitoring system. A 5-year hospital-based study was conducted to determine the prevalence at birth and clinical characteristics of selected major CA in Sarajevo Canton, Bosnia and Herzegovina. Ninety-one CA were observed from 2012 to 2016 (the overall prevalence was 39.6 cases/10,000 live births). The mean age of neonates at diagnosis was 3 days. The gastrointestinal tract was the most commonly affected system (76.9%), with esophageal atresia (EA) being the most frequent (17.6% of all CA). Major CA were more prevalent among preterm infants than term infants (P = .001), particularly in males (61.5% vs. 38.5%; P = .028; M:F ratio was 1.59). Multiple CA were seen in 37.4% of neonates. The overall mortality rate of neonates was 11%, and the median length of hospital stay was 19.8 days. Our study revealed the distribution and clinical patterns of common major CA in the largest tertiary care facility in Bosnia and Herzegovina. It also confirmed a relatively high mortality rate, which requires further efforts to improve the quality of neonatal care in the country.

Limitations to Health Care Quality Measurement: Assessing Hospital Variation in Risk of Cardiac Events After Noncardiac Surgery

Limited sample size, incomplete measures, and inadequate risk adjustment adversely influence accurate health care quality measurements, surgical quality measurements, and accurate comparisons among hospitals. Since these measures are linked to resources for quality improvement and reimbursement, improving the accuracy of measurement has substantial implications for patients, clinicians, hospital administrators, insurers, and purchasers. The team examined risk-adjusted differences of postoperative cardiac events among 20 geographically dispersed, community-based medical centers within an integrated health care system and compared it with the National Surgical Quality Improvement Program (NSQIP) hospital-specific differences. The exposure included the hospital at which patients received noncardiac surgical care, with stratification of patients by the acuity of surgery (elective vs. urgent/emergent). Among 157,075 surgery patients, the unadjusted risk of cardiac event per 1000 ranged among hospitals from 2.1 to 6.9 for elective surgery and from 10.3 to 44.5 for urgent/emergent surgery. Across the 20 hospitals, hospital rankings estimated in the present analysis differed significantly from ranking reported by NSQIP (P for difference: elective, P = 0.0001; urgent/emergent, P < 0.0001) with significantly and substantially lower variation after risk adjustment. Current surgical quality measures may not adequately account for limitations of sample size, data capture, adequate risk adjustment, and surgical acuity in a given hospital, particularly for rare outcomes. These differences have implications for quality reporting and may introduce bias into hospital comparisons, particularly for hospitals with incomplete capture of their patients' baseline risk and acuity.

Understanding risk factors for postoperative mortality in neonates based on explainable machine learning technology

PURPOSE

We aimed to introduce an explainable machine learning technology to help clinicians understand the risk factors for neonatal postoperative mortality at different levels.

METHODS

A total of 1481 neonatal surgeries performed between May 2016 and December 2019 at a children's hospital were included in this study. Perioperative variables, including vital signs during surgery, were collected and used to predict postoperative mortality. Several widely used machine learning methods were trained and evaluated on split datasets. The model with the best performance was explained by SHAP (SHapley Additive exPlanations) at different levels.

RESULTS

The random forest model achieved the best performance with an area under the receiver operating characteristic curve of 0.72 in the validation set. TreeExplainer of SHAP was used to identify the risk factors for neonatal postoperative mortality. The explainable machine learning model not only explains the risk factors identified by traditional statistical analysis but also identifies additional risk factors. The visualization of feature contributions at different levels by SHAP makes the "black-box" machine learning model easily understood by clinicians and families. Based on this explanation, vital signs during surgery play an important role in eventual survival.

CONCLUSIONS

The explainable machine learning model not only exhibited good performance in predicting neonatal surgical mortality but also helped clinicians understand each risk factor and each individual case.

Hot Topics in Safety for Pediatric Anesthesia

Anesthesiology is one of the leading medical specialties in patient safety. Pediatric anesthesiology is inherently higher risk than adult anesthesia due to differences in the physiology in children. In this review, we aimed to describe the highest yield safety topics for pediatric anesthesia and efforts to ameliorate risk. Conclusions: Pediatric anesthesiology has made great strides in patient perioperative safety with initiatives including the creation of a specialty society, quality and safety committees, large multi-institutional research efforts, and quality improvement initiatives. Common pediatric peri-operative events are now monitored with multi-institution and organization collaborative efforts, such as Wake Up Safe.

Synergistic effects of sepsis and prematurity on neonatal postoperative mortality

INTRODUCTION

Compared with term neonates, preterm babies are more likely to die from sepsis. However, the combined effects of sepsis and prematurity on neonatal postoperative mortality are largely unknown. Our objective was to quantify the proportion of neonatal postoperative mortality that is attributable to the synergistic effects of preoperative sepsis and prematurity.

METHODS

We performed a multicentre, propensity-score-weighted, retrospective, cohort study of neonates who underwent inpatient surgery across hospitals participating in the United States National Surgical Quality Improvement Program-Pediatric (2012-2017). We assessed the proportion of the observed hazard ratio of mortality and complications that is attributable to the synergistic effect of prematurity and sepsis by estimating the attributable proportion (AP) and its 95% confidence interval (CI).

RESULTS

We identified 19 312 neonates who realised a total of 321 321 person-days of postsurgical observations, during which 683 died (mortality rate: 2.1 per 1000 person-days). The proportion of mortality risk that is attributable to the synergistic effect of prematurity and sepsis was 50.5% (AP=50.5%; 95% CI, 28.8-72.3%; P < 0.001). About half of mortality events among preterm neonates with sepsis occurred within 24 h after surgery. Just over 45% of postoperative complications were attributable to the synergistic effect of prematurity and sepsis when both conditions were present (AP=45.8; 95% CI, 13.4-78.1%; P<0.001).

CONCLUSION

Approximately half of postsurgical mortality and complications were attributable to the combined effect of sepsis and prematurity among neonates with both exposures. These neonates typically died within a few days after surgery, indicating a very narrow window of opportunity to predict and prevent mortality.

CLINICAL TRIAL NUMBER AND REGISTRY

Not applicable.

24-hour and 30-day perioperative mortality in pediatric surgery

PURPOSE

The low perioperative mortality rate in pediatric surgery precludes effective analysis of mortality at individual institutions. Therefore, analysis of multi-institutional data is essential to determine any patterns of perioperative death in children. The aim of this study was to determine diagnoses associated with 24-hour and 30-day perioperative mortality.

METHODS

A retrospective review of the 2012-2015 Pediatric Participant Use Data File (PUF) was performed. Statistical comparisons were made between survivors and nonsurvivors and between those with 24-hour and 30-day mortality using Fischer's exact tests. P-values ≤ 0.05 were considered significant.

RESULTS

103,444 patients who underwent a pediatric surgical operation were evaluated. There were 732 deaths with a 30-day perioperative mortality of 0.7% (732/103,444). Necrotizing enterocolitis (NEC) was the diagnosis associated with the highest 30-day perioperative mortality (175/901, 19%). A significantly higher proportion NEC deaths occurred in the first 24 hours (67% (118/175) vs 33% (57/175) 30 day mortality, p<0.001). Compared to patients who survived following operation for NEC, those who died were statistically more likely to require inotropic support (56% vs. 15%, p<0.001), be diagnosed with sepsis (52% vs. 22%, p < 0.001), and undergo blood transfusion within 48 hours of operation (49% vs. 34%, p<0.001).

CONCLUSION

Although the overall pediatric surgical operative mortality rate is low, the largest proportion of perioperative deaths occur secondary to NEC. Based on the high immediate mortality, optimization of operative care for septic patients with NEC should be targeted.

TYPE OF STUDY

Prognosis Study LEVEL OF EVIDENCE: Level II.

Impact of patient handover structure on neonatal perioperative safety

OBJECTIVE

To compare the incidence, severity, preventability, and contributing factors of non-routine events-deviations from optimal care based on the clinical situation-associated with team-based, nurse-to-nurse, and mixed handovers in a large cohort of surgical neonates.

STUDY DESIGN

A prospective observational study and one-time cross-sectional provider survey were conducted at one urban academic children's hospital. 130 non-cardiac surgical cases in 109 neonates who received pre- and post-operative NICU care.

RESULTS

The incidence of clinician-reported NREs was high (101/130 cases, 78%) but did not differ significantly across acuity-tailored neonatal handover practices. National Surgical Quality Improvement-Pediatric occurrences of major morbidity were significantly higher (p < 0.001) in direct team handovers than indirect nursing or mixed handovers.

CONCLUSIONS

NREs occur at a high rate and are of variable severity in neonatal perioperative care. NRE rates and contributory factors were homogenous across handover types. Surveyed clinicians recommend structured handovers for all patients at every transfer point regardless of acuity.

A Pilot Study on Neonatal Surgical Mortality: A Multivariable Analysis of Predictors of Mortality in a Resource-Limited Setting

Purpose:

The aim of this research is to study the predictors of neonatal surgical mortality (NSM)-defined as in-hospital death or death within 30 days of neonatal surgery.

Materials and Methods:

All neonates operated over the study period of 18 months were included to evaluate NSM. The evaluated preoperative and intraoperative variables were birth weight, gestation age, age at presentation, associated anomalies, site and duration of surgery, intraoperative blood loss, and temperature after surgery. Assessed postoperative variables included the need for vasopressors, postoperative ventilation, sepsis, reoperations, and time taken to achieve full enteral nutrition. Univariate and multivariate logistic regression was applied to find the predictors of mortality.

Results:

Based on patient's final outcome, patients were divided into two groups (Group 1-survival, n = 100 and Group 2-mortality, n = 50). Incidence of NSM in this series was 33.33%. Factors identified as predictors of NSM were duration of surgery >120 min (P = 0.007, odds ratio [OR]: 9.76), need for prolonged ventilation (P = 0.037, OR: 5.77), requirement of high dose of vasopressors (P = 0.003, OR: 25.65) and reoperations (P = 0.031, OR: 7.16 (1.20–42.81).

Conclusion:

NSM was largely dependent on intraoperative stress factors and postoperative care. Neonatal surgery has a negligible margin of error and warrants expertize to minimize the duration of surgery and complications requiring reoperations. Based on our observations, we suggest a risk stratification score for neonatal surgery.

Room for "quality" improvement? Validating National Surgical Quality Improvement Program-Pediatric (NSQIP-P) appendectomy data

INTRODUCTION

Accurate data are essential for the validity of clinical registries. This study aimed to validate NSQIP-P data, assess representativeness, and evaluate risk-adjusted predictive ability at a single institution.

METHODS

A prospective appendectomy-specific pediatric surgery research database (RD) maintained by clinical researchers was compared to the NSQIP-P data for appendectomies performed in 2016 at a tertiary children's hospital. NSQIP-P sampled data collected by trained surgical clinical reviewers (SCRs) were compared to matched RD patients. Both datasets used NSQIP-P definitions. Using χ², datasets were compared by patient demographics, disease severity (simple vs. complicated), and outcomes.

RESULTS

458 appendectomies for acute appendicitis were performed in 2016, of which 250 (55%) were abstracted by SCRs and matched to RD patients. Patient demographics were similar between datasets. Disease severity (NSQIP-P:50% complicated vs RD:31% complicated) and composite morbidity (NSQIP-P:6.0% vs RD:14.4%) were significantly different (both p < 0.01). Demographics and outcomes were similar between matched (n = 250) and unsampled patients in the RD (n = 208). NSQIP-P's risk-adjusted predicted morbidity was significantly lower than morbidity observed in all (n = 458) RD patients (NSQIP-P:9.9% vs RD:14.2%, p < 0.01).

CONCLUSIONS

Though constituting a representative sample, NSQIP-P appendectomy data were inconsistent with department data. Discrepancies appear to be the result of underreporting of outcome variables and disease misclassification.

TYPE OF STUDY

Retrospective comparative review.

LEVEL OF EVIDENCE

Level III.

Analysis of risk factors for morbidity in children undergoing the Kasai procedure for biliary atresia

OBJECTIVE

To evaluate the perioperative risk factors for 30-day complications of the Kasai procedure in a large, cross-institutional, modern dataset.

STUDY DESIGN

The 2012-2015 National Surgical Quality Improvement Program Pediatric database was used to identify patients undergoing the Kasai procedure. Patients' characteristics were compared by perioperative blood transfusions and 30-day outcomes, including complications, reoperations, and readmissions. Multivariable logistic regression was used to identify risk factors predictive of outcomes. Propensity matching was performed for perioperative blood transfusions to evaluate its effect on outcomes.

RESULTS

190 children were included with average age of 62 days. Major cardiac risk factors were seen in 6.3%. Perioperative blood transfusions occurred in 32.1%. The 30-day post-operative complication rate was 15.8%, reoperation 6.8%, and readmission 15.3%. After multivariate analysis, perioperative blood transfusions (OR 3.94; p < 0.01) and major cardiac risk factors (OR 7.82; p < 0.01) were found to increase the risk of a complication. Perioperative blood transfusion (OR 4.71; p = 0.01) was associated with an increased risk of reoperation. Readmission risk was increased by prematurity (OR 3.88; p = 0.04) and 30-day complication event (OR 4.09; p = 0.01). After propensity matching, perioperative blood transfusion was associated with an increase in complications (p < 0.01) and length of stay (p < 0.01).

CONCLUSION

Major cardiac risk factors and perioperative blood transfusions increase the risk of post-operative complications in children undergoing the Kasai procedure. Further research is warranted in the perioperative use of blood transfusions in this population.

LEVEL OF EVIDENCE

IV.

Advances in perioperative quality and safety

For decades, safe surgery focused on intraoperative technique and decision-making. The traditional hierarchy placed the surgeon as the leader with ultimate authority and responsibility. Despite the advances in surgical technique and equipment, too many patients have suffered unnecessary complications and suboptimal care. Today, we understand that the conduct of safe and effective surgery requires evidence-based decision-making, multifaceted treatment approaches to prevent complications, and effective communication in and out of the operating room. In this manuscript, we describe three significant advances in quality and safety that have changed the approach to surgical care: the National Surgical Quality Improvement Program, evidence-based bundled prevention of surgical site infections, and the Surgical Safety Checklist.

A novel risk classification system for 30-day mortality in children undergoing surgery

A simple, objective and accurate way of grouping children undergoing surgery into clinically relevant risk groups is needed. The purpose of this study, is to develop and validate a preoperative risk classification system for postsurgical 30-day mortality for children undergoing a wide variety of operations. The National Surgical Quality Improvement Project-Pediatric participant use file data for calendar years 2012-2014 was analyzed to determine preoperative variables most associated with death within 30 days of operation (D30). Risk groups were created using classification tree analysis based on these preoperative variables. The resulting risk groups were validated using 2015 data, and applied to neonates and higher risk CPT codes to determine validity in high-risk subpopulations. A five-level risk classification was found to be most accurate. The preoperative need for ventilation, oxygen support, inotropic support, sepsis, the need for emergent surgery and a do not resuscitate order defined non-overlapping groups with observed rates of D30 that vary from 0.075% (Very Low Risk) to 38.6% (Very High Risk). When CPT codes where death was never observed are eliminated or when the system is applied to neonates, the groupings remained predictive of death in an ordinal manner.