Children with severe sepsis: relationship between community level income and morbidity and mortality.

BACKGROUND: Health disparities surrounding pediatric severe sepsis outcomes remains unclear. We aimed to measure the relationship between indicators of socioeconomic status and mortality, hospital length of stay (LOS), and readmission rates among children hospitalized with severe sepsis. METHODS: Children 0-18 years old, hospitalized with severe sepsis in the Nationwide Readmissions Database (2016-2018) were included. The primary exposure was median household income by ZIP Code of residence, divided into quartiles. RESULTS: We identified 15,214 index pediatric severe sepsis hospitalizations. There was no difference in hospital mortality rate or readmission rate across income quartiles. Among survivors, patients in Q1 (lowest income) had a 2 day longer LOS compared to those in Q4 (Median 10 days [IQR 4-21] vs 8 days [IQR 4-18]; p < 0.0001). However, there was no difference after adjusting for multiple covariates. CONCLUSIONS: Children living in Q1 had a 2 day longer LOS versus their peers in Q4. This was not significant on multivariable analysis, suggesting income quartile is not driving this difference. As pediatric severe sepsis remains an important source of morbidity and mortality in critically ill children, more sensitive metrics of socioeconomic status may better elucidate any disparities. IMPACT: Children with severe sepsis living in the lowest income ZIP Codes may have longer hospital stays compared to peers in higher income communities. More precise metrics of socioeconomic status are needed to better understand health disparities in pediatric severe sepsis.

Financial outcomes after pediatric critical illness among commercially insured families.

Critical illness results in subjective financial distress for families, but little is known about objective caregiver finances after a child's pediatric intensive care unit (PICU) hospitalization. Using statewide commercial insurance claims linked to cross-sectional commercial credit data, we identified caregivers of children with PICU hospitalizations in January-June 2020 and January-June 2021. Credit data included delinquent debt, debt in collections (medical and non-medical), low credit score (< 660), and a composite of any debt or poor credit and were measured in January 2021 for all caregivers. For the 2020 cohort ("post-PICU"), credit outcomes in January 2021 were measured at least 6 months following PICU hospitalization and reflect financial status after the hospitalization. For the 2021 cohort (comparison), financial outcomes were measured prior to their child's PICU hospitalization and therefore reflect pre-hospitalization financial status. We identified 2032 caregivers, 1017 post-PICU caregivers and 1015 comparison cohort caregivers, of which 1016 and 1014 were matched to credit data, respectively. Post-PICU caregivers had higher adjusted odds of having any delinquent debt [aOR 1.25; 95%CI 1.02-1.53; p = 0.03] and having a low credit score [aOR 1.29; 95%CI 1.06-1.58; p = 0.01]. However, there was no difference in the amount of delinquent debt or debt in collections among those with nonzero debt. Overall, 39.5% and 36.5% of post-PICU and comparator caregivers, respectively, had delinquent debt, debt in collections or poor credit. Many caregivers of critically ill children have financial debt or poor credit during hospitalization and post-discharge. However, caregivers may be at higher risk for poor financial status following their child's critical illness.

Characteristics and Outcomes of Young Adult Patients with Severe Sepsis Admitted to Pediatric Intensive Care Units Versus Medical/Surgical Intensive Care Units.

Purpose: Young adults receive severe sepsis treatment across pediatric and adult care settings. However, little is known about young adult sepsis outcome differences in pediatric versus adult hospital settings. Material and Methods: Using Truven MarketScan database from 2010-2015, we compared in-hospital mortality and hospital length of stay in young adults ages 18-26 treated for severe sepsis in Pediatric Intensive Care Units (PICUs) versus Medical ICUs (MICUs)/Surgical ICUs (SICUs) using logistic regression models and accelerated time failure models, respectively. Comorbidities were identified using Complex Chronic Conditions (CCC) and Charlson Comorbidity Index (CCI). Results: Of the 18 900 young adults hospitalized with severe sepsis, 163 (0.9%) were treated in the PICU and 952 (5.0%) in the MICU/SICU. PICU patients were more likely to have a comorbid condition compared to MICU/SICU patients. Compared to PICU patients, MICU/SICU patients had a lower odds of in-hospital mortality after adjusting for age, sex, Medicaid status, and comorbidities (adjusting for CCC, odds ratio [OR]: 0.50, 95% CI 0.29-0.89; adjusting for CCI, OR: 0.51, 95% CI 0.29-0.94). There was no difference in adjusted length of stay for young adults with severe sepsis (adjusting for CCC, Event Time Ratio [ETR]: 1.14, 95% CI 0.94-1.38; adjusting for CCI, ETR: 1.09, 95% CI 0.90-1.33). Conclusions: Young adults with severe sepsis experience higher adjusted odds of mortality when treated in PICUs versus MICU/SICUs. However, there was no difference in length of stay. Variation in mortality is likely due to significant differences in the patient populations, including comorbidity status.

A Core Outcome Measurement Set for Pediatric Critical Care.

OBJECTIVES: To identify a PICU Core Outcome Measurement Set (PICU COMS), a set of measures that can be used to evaluate the PICU Core Outcome Set (PICU COS) domains in PICU patients and their families. DESIGN: A modified Delphi consensus process. SETTING: Four webinars attended by PICU physicians and nurses, pediatric surgeons, rehabilitation physicians, and scientists with expertise in PICU clinical care or research ( n = 35). Attendees were from eight countries and convened from the Pediatric Acute Lung Injury and Sepsis Investigators Pediatric Outcomes STudies after PICU Investigators and the Eunice Kennedy Shriver National Institute of Child Health and Human Development Collaborative Pediatric Critical Care Research Network PICU COS Investigators. SUBJECTS: Measures to assess outcome domains of the PICU COS are as follows: cognitive, emotional, overall (including health-related quality of life), physical, and family health. Measures evaluating social health were also considered. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Measures were classified as general or additional based on generalizability across PICU populations, feasibility, and relevance to specific COS domains. Measures with high consensus, defined as 80% agreement for inclusion, were selected for the PICU COMS. Among 140 candidate measures, 24 were delineated as general (broadly applicable) and, of these, 10 achieved consensus for inclusion in the COMS (7 patient-oriented and 3 family-oriented). Six of the seven patient measures were applicable to the broadest range of patients, diagnoses, and developmental abilities. All were validated in pediatric populations and have normative pediatric data. Twenty additional measures focusing on specific populations or in-depth evaluation of a COS subdomain also met consensus for inclusion as COMS additional measures. CONCLUSIONS: The PICU COMS delineates measures to evaluate domains in the PICU COS and facilitates comparability across future research studies to characterize PICU survivorship and enable interventional studies to target long-term outcomes after critical illness.

Consensus acute kidney injury criteria integration identifies children at risk for long-term kidney dysfunction after multiple organ dysfunction syndrome.

BACKGROUND: The consensus definition of acute kidney injury (AKI) has evolved since developing the original multiple organ dysfunction syndrome (MODS) definitions. Whether or not risk for adverse short- and long-term outcomes can be identified using the refined AKI criteria in the setting of MODS has not been studied. We hypothesize that incorporation of Kidney Disease: Improving Global Outcome (KDIGO) AKI criteria into existing MODS definitions will have a higher association with major adverse kidney events at 30 days (MAKE30) and will increase the number of patients with MODS. METHODS: Post hoc analysis of 410 children admitted to a tertiary care pediatric intensive care unit (PICU) was conducted. MODS was defined using two existing criteria (Goldstein and Proulx) during the first 7 days following ICU admission and then modified by replacement of the kidney injury criteria using the KDIGO AKI definitions (G' and P'). RESULTS: MAKE30 occurred in 65 of 410 (16%) children. After substituting KDIGO kidney injury criteria, identification of MAKE30 increased from 46 children (71%) to 53 (82%) and 29 children (45%) to 43 (66%) for the Goldstein and Proulx criteria, respectively. Additionally, identification of MODS increased from 194 (47%) by Goldstein to 224 (55%) by G' and 95 children (23%) by Proulx to 132 (32%) by P'. CONCLUSIONS: Substituting KDIGO AKI criteria into existing MODS criteria increases the sensitivity for major adverse kidney events as well as the identification of MODS, improving the detection of children at risk for long-term adverse renal outcomes.

Overall Health Following Pediatric Critical Illness: A Scoping Review of Instruments and Methodology.

OBJECTIVES: Families identify overall health as a key outcome after pediatric critical illness. We conducted a planned secondary analysis of a scoping review to determine the methods, populations, and instruments used to evaluate overall health outcomes for both children and their families after critical illness. DESIGN: Planned Secondary Analysis of a Scoping Review. SETTING: We searched PubMed, EMBASE, PsycINFO, Cumulative Index of Nursing and Allied Health Literature, and the Cochrane Controlled Trials Registry databases from 1970 to 2017 to identify studies which measured postdischarge overall health of children who survived critical illness and their families. SUBJECTS: Articles reporting overall health outcomes after pediatric critical illness. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Among the 407 articles which measured outcomes following pediatric critical illness, 161 (40%) measured overall health. The overall health domain was most commonly measured in traumatic brain injury (44%) and the general PICU populations (16%). In total, there were 39 unique measures used to evaluate overall health. Across all subjects, seven measures accounted for 89% of instruments, with the Glasgow Outcome Scale (47%) and the Pediatric Overall Performance Category (17%) being most commonly used. Excluding studies targeting survivors of traumatic brain injury, Pediatric Overall Performance Category, Glasgow Outcome Scale, and the General Health Questionnaire were the most commonly used instruments. Patients were followed for a median 10.5 months (interquartile range, 4.5-21 mo). CONCLUSIONS: Overall health was commonly assessed post-PICU discharge, especially in the traumatic brain injury population, using a heterogenous array of measures. Evaluation and consensus are imperative to identify the most appropriate method to measure overall health with the goal of improving care efficacy and facilitating recovery across populations of critically ill children.

Renal angina index predicts fluid overload in critically ill children: an observational cohort study.

BACKGROUND: Fluid overload and acute kidney injury are common and associated with poor outcomes among critically ill children. The prodrome of renal angina stratifies patients by risk for severe acute kidney injury, but the predictive discrimination for fluid overload is unknown. METHODS: Post-hoc analysis of patients admitted to a tertiary care pediatric intensive care unit (PICU). The primary outcome was the performance of renal angina fulfillment on day of ICU admission to predict fluid overload ≥15% on Day 3. RESULTS: 77/139 children (55%) fulfilled renal angina (RA+). After adjusting for covariates, RA+ was associated with increased odds of fluid overload on Day 3 (adjusted odds ratio (aOR) 5.1, 95% CI 1.23-21.2, p = 0.025, versus RA-). RA- resulted in a 90% negative predictive value for fluid overload on Day 3. Median fluid overload was significantly higher in RA+ patients with severe acute kidney injury compared to RA+ patients without severe acute kidney injury (% fluid overload on Day 3: 8.8% vs. 0.73%, p = 0.002). CONCLUSION: Among critically ill children, fulfillment of renal angina was associated with increased odds of fluid overload versus the absence of renal angina and a higher fluid overload among patients who developed acute kidney injury. Renal angina directed risk classification may identify patients at highest risk for fluid accumulation. Expanded study in larger populations is warranted.

New Medical Device Acquisition During Pediatric Severe Sepsis Hospitalizations.

OBJECTIVES: Severe sepsis is a significant cause of healthcare utilization and morbidity among pediatric patients. However, little is known about how commonly survivors acquire new medical devices during pediatric severe sepsis hospitalization. We sought to determine the rate of new device acquisition (specifically, tracheostomy placement, gastrostomy tube placement, vascular access devices, ostomy procedures, and amputation) among children surviving hospitalizations with severe sepsis. For contextualization, we compare this to rates of new device acquisition among three comparison cohorts: 1) survivors of all-cause pediatric hospitalizations; 2) matched survivors of nonsepsis infection hospitalizations; and 3) matched survivors of all-cause nonsepsis hospitalization with similar organ dysfunction. DESIGN: Observational cohort study. SETTING: Nationwide Readmission Database (2016), including all-payer hospitalizations from 27 states. PATIENTS: Eighteen-thousand two-hundred ten pediatric severe sepsis hospitalizations; 532,738 all-cause pediatric hospitalizations; 16,173 age- and sex-matched nonsepsis infection hospitalizations; 15,025 organ dysfunction matched all-cause nonsepsis hospitalizations; and all with live discharge. MEASUREMENTS AND MAIN RESULTS: Among 18,210 pediatric severe sepsis hospitalizations, 1,024 (5.6%) underwent device placement. Specifically, 3.5% had new gastrostomy, 3.1% new tracheostomy, 0.6% new vascular access devices, 0.4% new ostomy procedures, and 0.1% amputations. One-hundred forty hospitalizations (0.8%) included two or more new devices. After applying the Nationwide Readmissions Database sampling weights, there were 55,624 pediatric severe sepsis hospitalizations and 1,585,194 all-cause nonsepsis hospitalizations with live discharge in 2016. Compared to all-cause pediatric hospitalizations, severe sepsis hospitalizations were eight-fold more likely to involve new device acquisition (6.4% vs 0.8%; p < 0.001). New device acquisition was also higher in severe sepsis hospitalizations compared with matched nonsepsis infection hospitalizations (5.1% vs 1.2%; p < 0.01) and matched all-cause hospitalizations with similar organ dysfunction (4.7% vs 2.8%; p < 0.001). CONCLUSIONS: In this nationwide, all-payer cohort of U.S. pediatric severe sepsis hospitalizations, one in 20 children surviving severe sepsis experienced new device acquisition. The procedure rate was nearly eight-fold higher than all-cause, nonsepsis pediatric hospitalizations, and four-fold higher than matched nonsepsis infection hospitalizations.

Clinician Accuracy in Identifying and Predicting Organ Dysfunction in Critically Ill Children.

OBJECTIVES: To determine clinician accuracy in the identification and prediction of multiple organ dysfunction syndrome. DESIGN: Prospective cohort study. SETTING: University of Michigan's C.S. Mott Children's Hospital PICU. PATIENTS: Patients admitted to the PICU with an anticipated PICU length of stay greater than 48 hours. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: For each patient, the clinical team (attending, fellow, resident/nurse practitioner) was surveyed regarding existing and anticipated organ dysfunction. The primary outcomes were clinicians' accuracy at identifying multiple organ dysfunction syndrome and predicting new or progressive multiple organ dysfunction syndrome, compared to the objective assessment of multiple organ dysfunction syndrome using Proulx criteria. We also measured sensitivity, specificity, negative and positive predictive values, and negative and positive likelihood ratios of clinician assessments. We tested for differences in accuracy by clinician type using chi-square tests. Clinicians rated their confidence in prediction on a 5-point Likert scale. There were 476 eligible PICU admissions, for whom 1,218 surveys were completed. Multiple organ dysfunction syndrome was present in 89 patients (18.7%) at enrollment, and new or progressive multiple organ dysfunction syndrome occurred in 39 (8.2%). Clinicians correctly identified multiple organ dysfunction syndrome with 79.9% accuracy and predicted additional organ dysfunction with 82.6% accuracy. However, the positive and negative likelihood ratios for new or progressive multiple organ dysfunction syndrome prediction were 3.0 and 0.7, respectively, indicating a weak relationship between the clinician prediction and development of new or progressive multiple organ dysfunction syndrome. The positive predictive value of new or progressive multiple organ dysfunction syndrome prediction was just 22.1%. We found no differences in accuracy by clinician type for either identification of multiple organ dysfunction syndrome (80.2% vs 78.2% vs 81.0%; p = 0.57) or prediction of new or progressive multiple organ dysfunction syndrome (84.8% vs 82.8% vs 80.3%; p = 0.26) for attendings, fellows, and residents/nurse practitioners, respectively. There was a weak correlation between the confidence and accuracy of prediction (pairwise correlation coefficient, 0.26; p < 0.001). CONCLUSIONS: PICU clinicians correctly identified multiple organ dysfunction syndrome and predicted new or progressive multiple organ dysfunction syndrome with 80% accuracy. However, only 8% of patients developed new or progressive multiple organ dysfunction syndrome, so accuracy was largely due to true negative predictions. The positive predictive value for new or progressive multiple organ dysfunction syndrome prediction was just 22%. Accuracy did not differ by clinician type, but was correlated with self-rated confidence and was higher for negative predictions.

Epidemiology and Outcomes of Cancer-Related Versus Non-Cancer-Related Sepsis Hospitalizations.

OBJECTIVE: Cancer and its treatment are known to be important risk factors for sepsis, contributing to an estimated 12% of U.S. sepsis admissions in the 1990s. However, cancer treatment has evolved markedly over the past 2 decades. We sought to examine how cancer-related sepsis differs from non-cancer-related sepsis. DESIGN: Observational cohort. SETTING: National Readmissions Database (2013-2014), containing all-payer claims for 49% of U.S. PATIENTS: A total of 1,104,363 sepsis hospitalizations. INTERVENTIONS: We identified sepsis hospitalizations in the U.S. National Readmissions Database using explicit codes for severe sepsis, septic shock, or Dombrovskiy criteria (concomitant codes for infection and organ dysfunction). We classified hospitalizations as cancer-related versus non-cancer-related sepsis based on the presence of secondary diagnosis codes for malignancy. We compared characteristics (site of infection and organ dysfunction) and outcomes (in-hospital mortality and 30-d readmissions) of cancer-related versus non-cancer-related sepsis hospitalizations. We also completed subgroup analyses by age, cancer types, and specific cancer diagnoses. MEASUREMENTS AND MAIN RESULTS: There were 27,481,517 hospitalizations in National Readmissions Database 2013-2014, of which 1,104,363 (4.0%) were for sepsis and 4,150,998 (15.1%) were cancer related. In-hospital mortality in cancer-related sepsis was 27.9% versus 19.5% in non-cancer-related sepsis. The median count of organ dysfunctions was indistinguishable, but the rate of specific organ dysfunctions differed by small amounts (e.g., hematologic dysfunction 20.1% in cancer-related sepsis vs 16.6% in non-cancer-related sepsis; p < 0.001). Cancer-related sepsis was associated with an adjusted absolute increase in in-hospital mortality ranging from 2.2% to 15.2% compared with non-cancer-related sepsis. The mortality difference was greatest in younger adults and waned with age. Patients (23.2%) discharged from cancer-related sepsis were rehospitalized within 30 days, compared with 20.1% in non-cancer-related sepsis (p < 0.001). CONCLUSIONS: In this cohort of over 1 million U.S. sepsis hospitalizations, more than one in five were cancer related. The difference in mortality varies substantially across age spectrum and is greatest in younger adults. Readmissions were more common after cancer-related sepsis.

Readmission Diagnoses After Pediatric Severe Sepsis Hospitalization.

OBJECTIVES: Severe sepsis is a significant cause of healthcare use and morbidity among pediatric patients, but little is known about readmission diagnoses. We sought to determine the most common readmission diagnoses after pediatric severe sepsis, the extent to which post-sepsis readmissions may be potentially preventable, and whether patterns of readmission diagnoses differ compared with readmissions after other common acute medical hospitalizations. DESIGN: Observational cohort study. SETTING: National Readmission Database (2013-2014), including all-payer hospitalizations from 22 states. PATIENTS: Four-thousand five-hundred twenty-eight pediatric severe sepsis hospitalizations, matched by age, gender, comorbidities, and length of stay to 4,528 pediatric hospitalizations for other common acute medical conditions. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: We compared rates of 30-day all cause, diagnosis-specific, and potentially preventable hospital readmissions using McNemar's chi-square tests for paired data. Among 5,841 eligible pediatric severe sepsis hospitalizations with live discharge, 4,528 (77.5%) were matched 1:1 to 4,528 pediatric hospitalizations for other acute medical conditions. Of 4,528 matched sepsis hospitalizations, 851 (18.8% [95% CI, 16.0-18.2]) were rehospitalized within 30 days, compared with 775 (17.1% [95% CI, 17.1-20.0]) of matched hospitalizations for other causes (p = 0.02). The most common readmission diagnoses were chemotherapy, device complications, and sepsis, all of which were several-fold higher after sepsis versus after matched nonsepsis hospitalization. Only 11.5% of readmissions were for ambulatory care sensitive conditions compared with 23% of rehospitalizations after common acute medical conditions. CONCLUSIONS: More than one in six children surviving severe sepsis were rehospitalized within 30 days, most commonly for maintenance chemotherapy, medical device complications, or recurrent sepsis. Only a small proportion of readmissions were for ambulatory care sensitive conditions.

Parent Medical Traumatic Stress and Associated Family Outcomes After Pediatric Critical Illness: A Systematic Review.

OBJECTIVES: To critically review, analyze, and synthesize the literature on parent medical traumatic stress from a child's critical illness requiring PICU admission and its association with outcomes of parent mental and physical health, and family functioning. DATA SOURCES: Systematic literature search of Pubmed, Embase, CINAHL, and PsychInfo. STUDY SELECTION: Two reviewers identified peer-reviewed published articles with the following criteria: 1) published between January 1, 1980, and August 1, 2018; 2) published in English; 3) study population of parents of children with a PICU admission; and 4) quantitative studies examining factors associated with outcomes of parent mental health, parent physical health, or family functioning. DATA EXTRACTION: Literature search yielded 2,476 articles, of which 23 studies met inclusion criteria. Study data extracted included study characteristics, descriptive statistics of parent outcomes after critical illness, and variables associated with parent and family outcomes. DATA SYNTHESIS: Studies examined numerous variables associated with parent and family outcomes and used multiple survey measures. These variables were categorized according to their phase in the Integrative Trajectory Model of Pediatric Medical Traumatic Stress, which included peri-trauma, acute medical care, and ongoing care or discharge from care. The majority of objective elements of a child's illness, such as severity of illness and length of hospitalization, did not have a clear relationship with parent and family outcomes. However, familial preexisting factors, a parent's subjective experience in the PICU, and family life stressors after discharge were often associated with parent and family outcomes. CONCLUSIONS: This systematic literature review suggests that parent and family outcomes after pediatric critical illness are impacted by familial preexisting factors, a parent's subjective experience in the PICU, and family life stressors after discharge. Developing parent interventions focused on modifying the parent's subjective experience in the PICU could be an effective approach to improve parent outcomes.

Reliability of Echocardiographic Indicators of Pulmonary Vascular Disease in Preterm Infants at Risk for Bronchopulmonary Dysplasia.

OBJECTIVES: To determine the assessment and inter-rater reliability of echocardiographic evaluations of pulmonary vascular disease (PVD) in preterm infants at risk for bronchopulmonary dysplasia. STUDY DESIGN: We prospectively studied echocardiograms from preterm infants (birthweights 500-1250 g) at 7 days of age and 36 weeks postmenstrual age (PMA). Echocardiograms were assessed by both a cardiologist on clinical service and a single research cardiologist. Interpretations were reviewed for inclusion of determinants of PVD and assessed for inter-rater reliability using the Prevalence Adjusted Bias Adjusted Kappa Score (PABAK). RESULTS: One hundred eighty and 188 matching research and clinical echocardiogram reports were available for the 7-day and 36-week PMA studies. At least one of the specific qualitative measures of PVD was missing from 54% of the clinical reports. PVD was diagnosed at 7 days in 31% and 20% of research and clinical interpretations, respectively (PABAK score of 0.54). At 36 weeks, PH was diagnosed in 15.6% and 17.8% of research and clinical interpretations, respectively (PABAK score of 0.80). CONCLUSIONS: Although all qualitative variables of PVD are not consistently provided in echocardiogram reports, the inter-rater reliability of cardiologists evaluating measures of PVD revealed strong agreement, especially at 36 weeks PMA. We speculate that establishment of a protocol for echocardiographic evaluation may improve the identification of PVD in preterm infants.

Association of Childbirth With Medical Debt.

We evaluated the association between childbirth and having medical debt in collections and examined differences by neighborhood socioeconomic status. Among a statewide cohort of commercially insured pregnant (n=14,560) and postpartum (n=12,157) adults, having medical debt in collections was more likely among postpartum individuals compared with pregnant individuals (adjusted odds ratio [aOR] 1.36, 95% CI 1.27-1.46) and those in lowest-income neighborhoods compared with all others (aOR 2.18, 95% CI 2.02-2.35). Postpartum individuals in lowest-income neighborhoods had the highest predicted probabilities of having medical debt in collections (28.9%, 95% CI 27.5-30.3%), followed by pregnant individuals in lowest-income neighborhoods (23.2%, 95% CI 22.0-24.4%), followed by all other postpartum and pregnant people (16.1%, 95% CI 15.4-16.8% and 12.5%, 95% CI 11.9-13.0%, respectively). Our findings suggest that current peripartum out-of-pocket costs are objectively more than many commercially insured families can afford, leading to medical debt. Policies to reduce maternal-infant health care spending among commercially insured individuals may mitigate financial hardship and improve birth equity.