Nationwide Assessment of Chronic Pain among Hospitalized Individuals with Co-occurring Post Traumatic Stress Disorder and Substance Use Disorder in the United States.

Objective: Chronic pain (CP) is independently associated with substance use disorders (SUD) and posttraumatic stress disorder (PTSD). However, little is known about factors associated with CP among patients with co-occurring PTSD and SUD. Patterns of hospital resource usage should also be explored further. Methods: Using the 2019 National Inpatient Sample (NIS), we identified 216,125 hospital discharges with co-occurring diagnoses of PTSD and SUD in 2019 and examined their association with CP. Multivariable logistic regression models were used to identify factors associated with an increased likelihood of CP in this cohort. Results: Among those with co-occurring PTSD and SUD (N = 216,125), 35,450 had associated CP, a prevalence of 164.02 cases per 1,000 discharges (95% CI [160.54, 167.52]). Individuals aged 55-64 with co-occurring PTSD and SUD were approximately 7.2 times more likely to experience CP, compared to those aged 16-24 (OR = 7.2; 95% CI [6.09, 8.60]). Being in the CP group was associated with 50% increased odds of insomnia and obesity (OR = 1.5; 95% CI [1.12, 2.03] and OR = 1.5; 95% CI [1.38, 1.55], respectively), 30% increased odds of anxiety (OR = 1.3; 95% CI [1.24, 1.38]), 20% increased odds of attention deficit disorder (ADD;OR = 1.2; 95% CI [1.12, 1.38]) and 10% increased odds of depression (OR = 1.1; 95% CI [1.01, 1.14]). Compared with females, being male was associated with slightly decreased odds of CP (OR = 0.9; 95% CI [0.84, 0.94]). Conclusions: Among hospitalized Americans with co-occurring PTSD and SUD, advanced age, being female, and the presence other mental health disorders were associated with an increased risk of CP. Providers treating co-occurring PTSD/SUD should evaluate for and consider evidence-based management of CP if present.

Opioid Use Disorder among Hospitalized Adults in North Carolina: Analysis from the 2000-2020 NC State Inpatient Database.

OBJECTIVES: Opioid use disorder (OUD) is characterized as a chronic condition that was first outlined in the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, and now the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, Text Revision. It encompasses frequent opioid usage, cravings, the development of tolerance, withdrawal symptoms upon discontinuation, unsuccessful attempts to quit or reduce use, and recurrent use even when faced with negative consequences. Both national- and state-level data show that overdose deaths associated with prescription opioids are increasing at an alarming rate. The increasing overdose deaths from illicitly manufactured fentanyl and other synthetic opioids compound this epidemic's burden. The present study sought to determine the prevalence and potential factors associated with OUD in North Carolina. METHODS: Using the State Inpatient Database, a retrospective cross-sectional study was conducted to identify OUD-related discharges between 2000 and 2020. Descriptive statistics and rates of OUD per 1000 discharges were calculated. Simple and multivariable logistic regression models were used to identify factors associated with increased odds of having an opioid use disorder diagnosis at discharge. The deviance-Pearson goodness of fit statistic was also used. Variables were identified using International Classification of Diseases, Ninth Revision, Clinical Modification, and International Classification of Diseases, Tenth Revision, Clinical Modification, codes in the discharge records. RESULTS: Of 19,370,483 hospitalizations that occurred between 2000 and 2020 in North Carolina, 483,250 were associated with OUD, a prevalence rate of 24.9 cases per 1000 discharges. The highest OUD rates were seen among adults who self-paid for their hospitalization, those with Medicaid, and those with other types of payors such as Workers' Compensation and the Indian Health Service; individuals between 25 and 54 years old; tobacco and alcohol users; Native American patients; patients located in urban areas; patients with lower household income; White patients; and female patients. OUD also was associated with increased odds of having one or more comorbid psychiatric disorders when controlling for other factors. CONCLUSIONS: Although preventive measures are crucial, including policies that discourage prescribing opioids for noncancer pain and those that target the manufacturing and distribution of synthetic opioids, providing integrated care for patients with OUD and co-occurring psychiatric and/or physical disorders is equally important. These findings suggest the need for a system-wide public health response focused on the expansion of primary prevention and treatment efforts, including crisis services, harm reduction services, and recovery programs.

Relationship of psychotropic medication use with physical function among postmenopausal women.

To examine cross-sectional and longitudinal relationships of psychotropic medications with physical function after menopause. Analyses involved 4557 Women's Health Initiative Long Life Study (WHI-LLS) participants (mean age at WHI enrollment (1993-1998): 62.8 years). Antidepressant, anxiolytic, and sedative/hypnotic medications were evaluated at WHI enrollment and 3-year follow-up visits. Performance-based physical function [Short Physical Performance Battery (SPPB)] was assessed at the 2012-2013 WHI-LLS visit. Self-reported physical function [RAND-36] was examined at WHI enrollment and the last available follow-up visit-an average of 22 [±2.8] (range: 12-27) years post-enrollment. Multivariable regression models controlled for socio-demographic, lifestyle, and health characteristics. Anxiolytics were not related to physical function. At WHI enrollment, antidepressant use was cross-sectionally related to worse self-reported physical function defined as a continuous (ß = -6.27, 95% confidence interval [CI]: -8.48, -4.07) or as a categorical (< 78 vs. ≥ 78) (odds ratio [OR] = 2.10, 95% CI: 1.48, 2.98) outcome. Antidepressant use at WHI enrollment was also associated with worse performance-based physical function (SPPB) [< 10 vs. ≥ 10] (OR = 1.53, 95% CI: 1.05, 2.21) at the 2012-2013 WHI-LLS visit. Compared to non-users, those using sedative/hypnotics at WHI enrollment but not at the 3-year follow-up visit reported a faster decline in physical function between WHI enrollment and follow-up visits. Among postmenopausal women, antidepressant use was cross-sectionally related to worse self-reported physical function, and with worse performance-based physical function after > 20 years of follow-up. Complex relationships found for hypnotic/sedatives were unexpected and necessitate further investigation.

Substance Use Disorders among Adolescents in the United States: 2000-2019.

OBJECTIVES: Substance use disorders (SUDs) are characterized by impairment caused by the recurrent use of alcohol, illicit drugs, or both. SUDs are pervasive and endemic among US adolescents, with potentially negative health and social consequences. Although the term experimentation normalizes adolescent substance abuse, the long-term consequences of this behavior beginning in adolescence can be detrimental to not only the adolescent but also the adult into which he or she develops. Our objective was to examine the epidemiology of SUD among hospitalized US adolescents, 13 to 19 years of age, during the time period 2000-2019. METHODS: A case-control study was conducted using 5,260,104 hospital discharge records (394,952 SUD and 4,865,152 non-SUD) from the 2000-2019 Kids' Inpatient Database. SUD and clinical outcomes variables were identified based on the International Classification of Diseases, Ninth/Tenth Revisions, Clinical Modification, coding. SUD rates (per 1000 discharges) were calculated and adjusted odds ratios (aORs) with their 95% confidence intervals (CIs) were computed using logistic regression models for predictors of SUDs among hospitalized adolescents. RESULTS: The prevalence of SUDs was estimated to be 75.10 cases per 1000 discharges (95% CI 74.86-75.31). Demographically, the highest crude rates (per 1000 discharges) were seen among Native American (139.58) and White (91.97) patients. Adolescent patients who experienced SUD were twice as likely as nonusers to be 16 to 19 years of age (aOR 2.2, 95% CI 2.13-2.19) or to be male (aOR 2.2, 95% CI 2.22-2.27). SUD was significantly associated with cooccurring conditions, including anxiety (aOR 2.5, 95% CI 2.48-2.53), depression (aOR 2.3, 95% CI 2.30-2.35), mood disorder (aOR 2.17, 95% CI 2.14-2.20), schizophrenia (aOR 2.6, 95% CI 2.52-2.64), sexually transmitted infections (aOR 2.3, 95% CI 2.23-2.45), hepatitis (aOR 3.0, 95% CI 2.87-3.15), and suicide (aOR 1.33, 95% CI 1.30-1.35). CONCLUSIONS: The study examined the epidemiology, risk factors, and common characteristics of hospitalized adolescent patients with SUDs. The high burden of psychiatric and medical comorbidities observed among this patient group warrants designing effective and comprehensive substance use prevention and treatment programs for youths.

Prevalence and hospital resource usage associated with substance use disorder among hospitalized adolescents in the United States.

We sought to determine common characteristics of SUD-related hospitalizations and patterns of discharge diagnoses among adolescents in the United States. Using the 2016 KID, a cross-sectional study was conducted to identify discharge records associated with ICD-10-CM diagnostic codes for SUD. Adolescents between the ages of 13 and 19 were included. SUD and non-SUD groups were compared using the Student's t-test for continuous variables and the χ2 test for categorical variables. A total of 6.7 million hospital discharges were analyzed. A uniform and a standardized coding system were used to identify cases. Subgroup comparative analysis for length of stay, hospital charge, and common discharge diagnoses was performed. A weighted estimate of 94,732 adolescents associated with SUD was discharged from the U.S. hospitals during the study year. Teens with SUD accounted for 510,268 days of inpatient days in the U.S. community hospitals accounting for a total charge of $3,070,948,580. The average LOS for all SUD teens in the U.S. was 5.4 days with a mean charge per discharge of $32,754, indicating higher LOS but a significantly lower mean charge compared to non-SUD teens (4.1 days; $39,657). In 2016, more than 88% of SUD patients had ≥ 3 diagnoses compared to non-SUD patients (76%) (P < 0.0001 for all). The most frequently observed diagnosis associated with teens with SUD was psychoses, depressive neuroses, and alcohol use disorder. With one in ten teenagers found with an SUD, early substance initiation still appears to be an important public health issue. Unfortunately, the health and economic impact of substance use in adolescence on society are huge requiring effective strategies targeted to this population. The concerning data and literature identify a significant need to address prevention, treatment, and recovery services for adolescents throughout the United States.

Determinants of COVID-19 Outcome as Predictors of Delayed Healthcare Services among Adults ≥50 Years during the Pandemic: 2006-2020 Health and Retirement Study.

BACKGROUND: The coronavirus disease 19 (COVID-19) was declared a global pandemic on 11 March 2020. To date, a limited number of studies have examined the impact of this pandemic on healthcare-seeking behaviors of older populations. This longitudinal study examined personal characteristics linked to COVID-19 outcomes as predictors of self-reported delayed healthcare services attributed to this pandemic, among U.S. adults, ≥50 years of age. METHODS: Secondary analyses were performed using cross-sectional data (1413 participants) and longitudinal data (2881 participants) from Health and Retirement Study (HRS) (2006-2018) linked to the 2020 HRS COVID-19 Project (57% female, mean age: 68 years). Demographic, socioeconomic, lifestyle and health characteristics were evaluated in relation to delayed overall, surgical and non-surgical healthcare services ("Since March 2020, was there any time when you needed medical or dental care, but delayed getting it, or did not get it at all?" and "What type of care did you delay") using logistic regression and Ensemble machine learning for cross-sectional data as well as mixed-effects logistic modeling for longitudinal data. RESULTS: Nearly 32.7% delayed healthcare services, 5.8% delayed surgical services and 31.4% delayed non-surgical services. Being female, having a college degree or higher and 1-unit increase in depression score were key predictors of delayed healthcare services. In fully adjusted logistic models, a history of 1 or 2 cardiovascular and/or metabolic conditions (vs. none) was associated with 60-70% greater odds of delays in non-surgical services, with distinct findings for histories of hypertension, cardiovascular disease, diabetes and stroke. Ensemble machine learning predicted surgical better than overall and non-surgical healthcare delays. CONCLUSION: Among older adults, sex, education and depressive symptoms are key predictors of delayed healthcare services attributed to the COVID-19 pandemic. Delays in surgical and non-surgical healthcare services may have distinct predictors, with non-surgical delays more frequently observed among individuals with a history of 1 or 2 cardiovascular and/or metabolic conditions.

Substance Use Disorder among Hospitalized Adolescents in North Carolina.

OBJECTIVES: Individuals who began using alcohol or other drugs before the age of 15 are 7 times more likely to develop a substance use disorder (SUD) in adulthood. This study sought to determine the common characteristics of SUD-related hospitalizations and patterns of discharge diagnoses among adolescents in North Carolina. METHODS: Using the 2014 State Inpatient Database (SID), discharge records associated with the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) diagnostic codes for SUD were identified. Adolescents between the ages of 13 and 19 years were included. SUD and non-SUD groups were compared using the Student t test for continuous variables and the χ2 test for categorical variables. A total of 1.1 million hospital discharges were analyzed. A uniform and standardized coding system called Clinical Classifications Software was used to identify cases. The Clinical Classifications Software collapses the ICD-9-CM codes into 679 clinically meaningful categories. A cluster of 3900 ICD-9-CM procedure codes also was used to identify clinically relevant groups of procedures performed during hospitalization. RESULTS: An estimated 3276 adolescents associated with SUD were discharged from North Carolina hospitals during the study year. Discharged patients with a SUD spent a total of 21,242 inpatient days, at a cost of $62 million. Among the adolescents with a SUD, 53% were boys, 62% were White, 24% were Black, 8% were Hispanic (8%), and 6% were of other races. Compared with patients without a SUD, those with a SUD had longer mean hospital stays (6.5 days vs 4.7 days; P < 0.0001) and lower mean hospital charge per hospitalization ($18,932 vs 24,532; P < 0.0001). Adolescents with a SUD also were diagnosed primarily as having mood disorders (44.78%), followed by schizophrenia and other psychological disorders, upon discharge. Approximately 37% of the SUD-related discharges occurred in areas, denoted in this study using ZIP code designations, with mean household annual incomes <$38,999. A large proportion of the SUD-related hospitalizations (44%) were billed to Medicaid. Frequently observed diagnoses associated with adolescents with a SUD were mood disorders (45%), schizophrenia (7%), and poisoning by other medications and drugs (4%). In 16% of hospitalized adolescents with a SUD, there were at least 2 procedures performed. There was a statistically significant mean hospital charge difference of $5600 between SUD and non-SUD teens. CONCLUSIONS: The literature reflects the connection between adolescent use and the propensity for diagnosis with a SUD in adulthood; it is evident that this is a growing public health crisis. This study identified patterns of adolescent substance use that, based on the current literature, are indicative of problematic futures for these individuals. The concerning data and literature identify a significant need to address prevention, treatment, and recovery services for adolescents, not only in North Carolina but throughout the United States. The need for focused interventions, access to care, and funding of substance-specific adolescent education and services is greatly needed to change the trajectory of these adolescents' lives.

Predictors of Covid-19 level of concern among older adults from the health and retirement study.

The purpose of this longitudinal study is to construct a prediction model for Covid-19 level of concern using established Covid-19 socio-demographic, lifestyle and health risk characteristics and to examine specific contributions of obesity-related cardiometabolic health characteristics as predictors of Covid-19 level of concern among a representative sample of U.S. older adults. We performed secondary analyses of existing data on 2872 2006-2020 Health and Retirement Study participants and examined 19 characteristics in relation to the outcome of interest using logistic regression and machine learning algorithms. In mixed-effects ordinal logistic regression models, a history of diabetes, stroke as well as 1-2 cardiometabolic risk factors and/or chronic conditions were associated with greater Covid-19 level of concern, after controlling for confounders. Female sex, birth cohort, minority race, Hispanic ethnicity and total wealth as well as depressive symptoms were associated with higher level of Covid-19 concern, and education was associated with lower level of Covid-19 concern in fully adjusted mixed-effects ordinal logistic regression models. The selected socio-demographic, lifestyle and health characteristics accounted for < 70% of the variability in Covid-19 level of concern based on machine learning algorithms. Independent risk factors for Covid-19 level of concern among U.S. older adults include socio-demographic characteristics and depressive symptoms. Advanced research is needed to identify relevant predictors and elucidate underlying mechanisms of observed relationships.

Socio-demographic, lifestyle and health characteristics as predictors of self-reported Covid-19 history among older adults: 2006-2020 Health and Retirement Study.

BACKGROUND: To identify key socio-demographic, lifestyle, and health predictors of self-reported coronavirus disease 2019 (Covid-19) history, examine cardiometabolic health characteristics as predictors of self-reported Covid-19 history and compare groups with and without a history of Covid-19 on trajectories in cardiometabolic health and blood pressure measurements over time, among United States (U.S.) older adults. METHODS: Nationally representative longitudinal data on U.S. older adults from the 2006-2020 Health and Retirement Study were analyzed using logistic and mixed-effects logistic regression models. RESULTS: Based on logistic regression, number of household members (OR=1.26, 95% CI: 1.05, 1.52), depressive symptoms score (OR = 1.21, 95% CI: 1.04, 1.42) and number of cardiometabolic risk factors or chronic conditions ("1-2" vs "0") (OR = 0.27, 95% CI: 0.11, 0.67) were significant predictors of self-reported Covid-19 history. Based on mixed-effects logistic regression, several statistically significant predictors of Covid-19 history were identified, including female sex (OR = 3.06, 95% CI: 1.57, 5.96), other race (OR = 5.85, 95% CI: 2.37, 14.43), Hispanic ethnicity (OR = 2.66, 95% CI: 1.15, 6.17), number of household members (OR = 1.25, 95% CI: 1.10, 1.42), moderate-to-vigorous physical activity (1-4 times per month vs never) (OR = 0.38, 95% CI: 0.18, 0.78) and number of cardiometabolic risk factors or chronic conditions ("1-2" vs "0") (OR = 0.34, 95% CI: 0.19, 0.60). CONCLUSIONS: Number of household members, depressive symptoms and number of cardiometabolic risk factors or chronic conditions may be key predictors for self-reported Covid-19 history among U.S. older adults. In-depth analyses are needed to confirm preliminary findings.

COVID-19 Pandemic Impact on Trajectories in Cardiometabolic Health, Physical Activity, and Functioning Among Adults from the 2006-2020 Health and Retirement Study.

BACKGROUND: The aim of this study was to evaluate the impact of the COVID-19 pandemic on trajectories in cardiometabolic health, physical activity, and functioning among U.S. older adults, overall and according to selected baseline sociodemographic characteristics. METHODS: We performed secondary analyses using longitudinal data on 1,372 participants from the 2006-2020 Health and Retirement Study. Pre-post COVID-19 pandemic onset was examined in relation to body mass index (BMI), number of cardiometabolic risk factors and/or chronic conditions, physical activity, Activities of Daily Living (ADL), and Instrumental Activities of Daily Living (IADL) using mixed-effects regression models and group-based trajectory models. RESULTS: The COVID-19 pandemic was associated with significantly increased BMI (ß = 1.39, 95% confidence interval [CI]: 0.74, 2.03). Furthermore, the odds of having at least one cardiometabolic risk factor and/or chronic disease increased pre-post COVID-19 onset (odds ratio 1.16, 95% CI: 1.00, 1.36), whereas physical functioning worsened pre-post COVID-19 onset (ADL: ß = 1.11, 95% CI: 0.94, 1.28; IADL: ß = 0.59, 95% CI: 0.46, 0.73). The pre-post COVID-19 period (2018-2020) showed a stable group of trajectories, with low, medium and high levels of the selected health indicators. Health disparities according to sex, race/ethnicity, educational level, work status, and total wealth are highlighted. CONCLUSIONS: The COVID-19 pandemic onset appears to worsen cardiometabolic health and physical functioning among U.S. older adults, with clusters of individuals defined by selected sociodemographic characteristics experiencing distinct trajectories pre-post COVID-19 pandemic onset.

Latent Class Analysis of Maternal Comorbid Conditions among Hospitalized Pregnant Women Diagnosed with Opioid Use Disorders in North Carolina.

BACKGROUND: Pregnant women are among the groups most affected by the United States opioid epidemic. OBJECTIVES: To determine latent classes of maternal comorbidities, examine their relationship to opioid use disorder (OUD), and how they can predict hospital discharge status among hospitalized pregnant women with and without OUD. STUDY DESIGN: This is a cross-sectional study. SETTING: Hospitals in North Carolina. METHODS: A latent class analysis (LCA) was performed using 929,085 hospital discharge records from the 2000-2014 State Inpatient Databases for North Carolina. We defined OUD status and 24 maternal comorbid conditions based on International Classification of Diseases, Ninth Revision, Clinical Modification diagnostic codes and Clinical Classification Software codes, respectively. Discharge status was categorized as home, institution, or died. Binary and multinomial logistic regression models were constructed adjusting for demographic and hospital characteristics. RESULTS: LCA of maternal comorbid conditions resulted in 591,745 records belonging to Class 1 (birth complications) and 337,340 records belonging to Class 2 (pre-existing and pregnancy-related morbidities). Class 2 records less frequently belonged to patients with OUD than those without OUD, and more frequently to younger, Black/Hispanic/other race or ethnicity, and patients with a higher socioeconomic status who resided in large metropolitan areas. Non-Medicare primary payers were more likely among Class 2 records. Irrespective of OUD status, patients belonging to Class 2 were less likely to be discharged to an institution or be deceased, controlling for confounders. LIMITATIONS: Administrative database; data clustering; misclassification bias; confounding bias; temporality; data-driven approach; generalizability. CONCLUSIONS: Hospitalized pregnant women may be classified based on comorbid conditions into 2 latent classes ("birth complications" and "pre-existing and pregnancy-related morbidities"), with the former exhibiting greater OUD frequency than the latter. These findings can inform health care needs of populations with a high-risk for OUD.

Opioid use disorder among hospitalized adults in North Carolina: Comparative analysis of national and statewide trends.

OBJECTIVE: Hospital resource utilization is reported to be higher among patients with opioid use disorder (OUD) compared with those without OUD at national and local levels. However, utilization of healthcare services associated with OUD in North Carolina (NC) has not been adequately characterized. We describe inpatient hospital resource utilization among adults with an OUD-diagnosed in NC and the United States (US). We hypothesize that hospitalized adults with OUD will have longer hospital stays, more frequent use of emergency services, a higher number of diagnoses, and comparable hospital charges compared with hospitalized adults without OUD. DESIGN: A retrospective cross-sectional study analyzing hospital discharge abstracts included in the 2016 NC State Inpatient Databases (SIDs) and the 2016 National Inpatient Sample (NIS). OUD and non-OUD groups were compared using the Student's t-test for continuous variables and the χ2 test for categorical variables. PARTICIPANTS: Adults 18 years and older from SID (n = 25,871) and NIS (n = 148,255) databases were included in the analysis. MAIN OUTCOME MEASURES: Length of stay (LOS), use of emergency services, discharge diagnosis, and hospital charge among hospitalized adults with OUD. RESULTS: In NC, patients with OUD were younger (age 18-35), more likely to be white, and more likely to be hospitalized in areas with the lowest median income compared with patients without OUD. Compared to the US, twice as many NC OUD patients were self-payers. Hispanic patients, Medicare beneficiaries, and those in the highest income areas experienced the longest LOS and highest hospital charge. Patients with OUD were more likely to have five or more diagnoses and those with five or more diagnoses had higher LOS and hospital charges. OUD hospitalizations were also associated with more frequent use of emergency services. The most common co-occurring diagnoses were psychoses, substance abuse or dependence, and septicemia or severe sepsis. CONCLUSION: High percentages of self-payers and lower-income OUD patients indicate the need for Medicaid eligibility outreach programs in NC. High LOS and hospital charges among Hispanic, Medicare-covered, and high-income OUD patients call for a more detailed examination to identify underlying causes of disproportionate resource utilization in NC hospitals.

Characteristics of Hospitalized Adults with Opioid Use Disorder in the United States: Nationwide Inpatient Sample.

BACKGROUND: Although the clinical significance and treatment management of opioid use disorder (OUD) is sufficiently discussed, utilization of healthcare services associated with OUD has not been adequately studied in the United States. OBJECTIVE: To provide a descriptive assessment of the utilization of health care services for adults with OUD in the United States. STUDY DESIGN: A retrospective cross-sectional study design based on the National Inpatient Sample (NIS) developed by the Healthcare Cost and Utilization Project. SETTING: All OUD cases included in the 2016 NIS database. Adults aged 18 years or older were included in the study. METHODS: We analyzed a stratified probability sampling of 7.1 million hospital discharges weighted to 35.7 million national discharges. We used ICD-10-CM codes to identify OUD cases. Groups were compared using the Student's t-test for continuous variables and the chi-square test for categorical variables. Total cost per hospital discharge was determined by converting the total per case hospital charge to a hospital cost estimate (estimate = total charges X hospital cost-to-charge ratio). RESULTS: In 2016, an estimated 741,275 Americans were associated with OUD. Among patients with OUD, 73% were White, 12% were African-American, 8% were Hispanic, 0.6% Asian-American/Pacific Islander, 0.9% were Native Americans, and 2% were other race; 49% of patients with OUD were women. A large proportion (43%) of the OUD hospitalizations were billed to Medicaid. The average hospital length of stay for all OUD patients was 5.6 days, and the average cost per discharge was $11,233. A higher average LOS was observed for patients who died during hospitalization (8.4 days), Asian-American/Pacific Islander patients (6.8 days), patients covered by self-pay (6.8 days), patients with median household income of 71,000 or more (5.8 days), patients discharged from hospitals in the Northeast ($10,540) and patients discharged from hospitals in large hospitals ($12,570). The most frequently observed diagnosis associated with patients with OUD were alcohol/drug abuse or dependence, psychosis, and septicemia. LIMITATIONS: These data sources are comprised of hospital discharge records, originally collected for billing purposes, and may be subject to provider biases and variations in coding practices. CONCLUSIONS: In the United States, very few health issues have garnered the attention of such diverse sectors as the opioid crisis. Our analysis of 2016 NIS data found that patients with OUD accounted for approximately 740,000 discharges that year. This represents about a 55% increase over 2015. We also demonstrate that inpatient settings provide a unique opportunity for targeting evidence-based, comprehensive interventions at patients with OUD. Key words: Opioid use disorder, discharge diagnosis, hospital resource utilization, cost-to-charge ratio, HCUP, NIS, AHRQ.

Sex Differences in Patterns of Sleep Disorders Among Hospitalizations With Parkinson's Disease: 2004-2014 Nationwide Inpatient Sample.

OBJECTIVE: This study aimed to examine patterns of sleep disorders among hospitalized adults 65 years and older as related to Parkinson's disease (PD) status and to evaluate sex differences in the associations between PD with sleep disorders. METHODS: A cross-sectional study was conducted using 19,075,169 hospital discharge records (8,169,503 men and 10,905,666 women) from the 2004-2014 Nationwide Inpatient Sample databases. PD and sleep disorder diagnoses were identified based on International Classification of Diseases, Ninth Revision, Clinical Modification coding. Logistic regression models were constructed for each sleep disorder as a correlate of PD status; adjusted odds ratios (aOR) with their 95% confidence intervals (CIs) were calculated taking into account patient and hospital characteristics. RESULTS: Period prevalences of PD and sleep disorder were estimated to be 2.1% and 8.1%, respectively. Most sleep disorder types, with the exception of sleep-related breathing disorders, were positively associated with PD diagnosis. Statistically significant interactions by sex were noted for associations of insomnia (men: aOR = 1.29, 95% CI = 1.24-1.36; women: aOR = 1.17, 95% CI = 1.12-1.22), parasomnia (men: aOR = 3.74, 95% CI = 3.44-4.07; women: aOR = 2.69, 95% CI = 2.44-2.96), sleep-related movement disorder (men: aOR = 1.09, 95% CI = 1.07-1.11; women: aOR = 1.22, 95% CI = 1.20-1.25), and any sleep disorder (men: aOR = 1.06, 95% CI = 1.05-1.08; women: aOR = 1.15, 95% CI = 1.13-1.17) with PD status. CONCLUSIONS: Overall, hospitalized men are more likely to experience PD with insomnia or parasomnia, whereas hospitalized women are more likely to experience PD with sleep-related movement disorder or any sleep disorder. Prospective cohort studies are needed to replicate these cross-sectional findings.

Insomnia as a predictor of diagnosed memory problems: 2006-2016 Health and Retirement Study.

OBJECTIVE: To evaluate the longitudinal relationship in insomnia symptoms over time with incident memory problems and dementia diagnoses among U.S. adults aged 65 years and older. METHODS: Secondary analyses were performed on 9518 elderly participants (≥65 years) who completed the 2006 wave of the Health and Retirement Study (HRS) and were followed-up to determine if insomnia symptom scores (2006-2014) were associated with time-to-onset of [1] physician-diagnosed "memory-related disease", "Alzheimer's disease" and/or "dementia, senility or any other serious memory impairment" and [2] diagnosis of dementia based on HRS-specific criteria. Cox proportional hazards models were constructed adjusting for socio-demographic, lifestyle, and health characteristics. RESULTS: In fully adjusted models, severe insomnia symptoms were associated with increased risk of physician-diagnosed memory problems. Individuals reporting any change (increase or decrease) in insomnia symptoms during the 2006-2010 period were more likely to be diagnosed with dementia based on HRS criteria. Finally, those who experienced an increase in the severity of insomnia symptoms over time exhibited 41-72% increased risks of physician-diagnosed memory problems and 45-58% increased risks of dementia diagnosis based on HRS criteria. CONCLUSIONS: When severe insomnia symptoms increased over time, physician-diagnosed memory problems and dementia diagnoses also increased among U.S. elderly people over a 10-year follow-up period. More studies are required to confirm these findings using large prospective cohort designs and validated tools.

Temporal trends in rates of opioid misuse among delivery-related hospitalizations in North Carolina from 2000 to 2014.

Opioid misuse during pregnancy is increasing at an alarming rate across the United States. To determine the prevalence, temporal trends, and resource usage of delivery-related hospitalizations of women who misuse opioids in North Carolina from 2000 to 2014. A retrospective, cross-sectional study was conducted using the State Inpatient Databases. Annual prevalence was calculated, and linear trends were assessed using logistic regression. Temporal trends in hospital charges and length of stay (LOS) were analyzed using ordinary least squares regression with a loge-transformed response. Of 1,937,455 delivery-related hospitalizations in NC, 6,084 were associated with opioid misuse, a prevalence of 3.14 cases per 1,000 delivery-related discharges. During the study period, the prevalence of opioid misuse during pregnancy in NC increased 955%, from 0.9 cases per 1,000 discharges in 2000 to 9.5 cases per 1,000 discharges in 2014, an average annual rate increase of 1.18 cases (95% CI, 1.16-1.21; P < 0.0001). Median LOS for women who misuse opioids remained stable at three days, whereas the median charge per delivery-related hospitalization significantly increased from $6,311 in 2000 to $9,019 in 2010 (annual average change [AAC], 282.2; 95% CI, 182.9-381.5; P < 0.0001) and from $8,908 in 2011 to $10,864 in 2014 (AAC, 667.5; 95% CI, 275.2-1059.9; P < 0.0001). Health care providers and policymakers in NC are advised to introduce system-wide public health responses focused on prevention and increased access to evidence-based treatment that improves the health of the mothers and neonates who are exposed to opioids.

Patient and Hospital Characteristics of Newborns with Neonatal Withdrawal Syndrome.

OBJECTIVES: We sought to evaluate hospital resource usage patterns and determine risk factors for neonatal withdrawal syndrome (NWS) in the United States. METHODS: Using the 2016 Kids' Inpatient Database (KID), we conducted a retrospective cross-sectional analysis of a nationally representative sample of neonates with NWS. The KID is the largest publicly available pediatric (20 years of age and younger) inpatient care database in the United States. We analyzed a stratified probability sampling of 3.1 million pediatric hospital discharges weighted to 6.3 million national discharges. Descriptive statistics for hospital and patient characteristics were identified and binary variables were analyzed using the Student t test. Multivariate regression was performed to assess the predictors of NWS. We excluded discharges if total cost or hospital length of stay (LOS) exceeded mean values by >3 standard deviations. Hospitalizations with NWS diagnosis were identified using the International Classification of Diseases, 10th Revision, Clinical Modification code P96.1 in any 1 of 30 discharge diagnostic fields. RESULTS: We estimated that 25,394 pediatric discharges were associated with an NWS diagnosis, totaling 403,127 inpatient days at a cost of $1.8 billion. Compared with non-NWS newborns, neonates with NWS had higher mean hospital charges ($71,540 vs $15,765), longer mean hospital stays (16 days vs 3 days), and a significantly higher proportion of low birth weight (7.2% vs 1.9%), feeding problems (19.0% vs 3.5%), respiratory diagnoses (5.6% vs 2.5%), and seizure (0.3% vs 0.1%). Among newborns with NWS, 53% were boys, 80.0% were white, 7.2% were black, 7.4% were Hispanic, and 5.3% were of other races. Hispanic neonates had the highest mean hospital charges and LOS of any other ethnic group ($123,749, 21 days). The largest proportion (83.0%) of NWS-related hospital stays were billed to Medicaid, followed by private insurance (10.3%) and self-pay (4.8%). More than one-third of NWS-related discharges (39.3%) occurred in areas with the lowest mean household annual income (≤$42,999) compared with 28.4% of neonates without NWS. Most NWS cases (53%) had ≥5 diagnoses, compared with 11% of non-NWS neonates. In the multivariate analysis, neonates with a birth weight <2500 g, feeding problems, respiratory diagnoses, seizure, >4 diagnoses, LOS >5 days, rural hospitals, Medicaid, and low-income households were significantly associated with NWS. There was a statistically significant mean hospital charge difference of $55,775 between NWS and non-NWS neonates. CONCLUSIONS: Since 2000, the number of infants treated for NWS in the US neonatal intensive care units has increased fivefold, accounting for an estimated $1.5 billion in annual hospital expenditures. The high hospital resource usage among NWS neonates raises the possibility that care for expectant mothers who use opiates and their newborns may be able to be delivered in a more efficient and effective manner. Because the majority of the study population was covered by Medicaid programs, state policy makers should be mindful of the impact the opioid crises continue to have on expectant mothers and their infants.

Opioid use disorder among pregnant women in the 2000-2014 North Carolina state inpatient database.

Background: The opioid epidemic's impact reached an increasing portion of the United States population, including pregnant women.Objectives: We sought to determine the prevalence and factors associated with opioid use disorders during pregnancy in North Carolina.Study Design: Using North Carolina's State Inpatient Sample, a retrospective study was conducted to identify pregnancy-related discharges between 2000 and 2014. Hospital discharge records associated with ICD-9-CM diagnoses codes for the use of opioids for all eligible pregnancy-related discharges were extracted. Logistic regression models were used to estimate unadjusted and adjusted bivariate and multivariate relationships.Results: Of 1,937,455 pregnancy-related hospitalization in North Carolina, 6,084 were associated with opioid use, a prevalence of 3.14 cases per 1,000 discharge. Maternal opioid use was associated with an increased odds of early onset delivery, threatened preterm labor, premature rupture of membranes, postpartum depression, stillbirth and poor fetal growth. Women who used opioids during pregnancy had prolonged hospital stays (>5 days) and were 2 times as likely to have more than 4 procedures performed during hospitalization. Compared to other racial groups, non-Hispanic whites had a notably higher prevalence of opioid use disorders (5.8/1,000 pregnancy-related discharges) (P < 0.05 for all).Conclusions: Very few health issues have garnered the attention of such diverse sectors of our society as the opioid epidemic. As the first state-level analysis of opioid use disorders among delivery hospitalizations, these findings suggest the need for a system-wide public health response such as improved funding for Medicaid and child welfare systems to improve the health of the opioid-exposed mother-infant dyad.

Utilization of Healthcare Resources by HIV-Positive Children in the United States: A National Perspective.

OBJECTIVE: We characterized and estimated the cost of inpatient hospital utilization by US pediatric patients who tested positive for the human immunodeficiency virus (HIV). METHODS: The 2012 Kids' Inpatient Database was analyzed to provide a descriptive assessment of national inpatient hospital utilization. We analyzed a stratified probability sampling of 3.2 million pediatric hospital discharges weighted to 6.7 million national discharges. Descriptive statistics for hospital and patient characteristics were identified and binary variables were analyzed using the Student t test. The Kids' Inpatient Database is the largest available all-payer pediatric (20 years old and younger) inpatient care database in the United States, yielding national estimates of hospital inpatient stays. Children aged 17 years and younger were included in the study and conditions related to pregnancy and delivery. RESULTS: We estimated that 1344 pediatric discharges were associated with an HIV diagnosis, totaling 10,704 inpatient days at a cost of $91 million. Among pediatric patients with HIV, 55% were African American, 20% were white, 15% were Asian/Pacific Islander, 8% were other races (including Hispanics and Native Americans), and 51% were female. Children who were HIV positive were more likely to have longer mean hospital stays, have higher mean hospital charges, be of a higher median age (8 years and older), have Medicaid insurance, come from lower-income families, be treated in urban teaching hospitals, and be more likely to die during hospitalization (P < 0.01 for all). Among non-HIV-related pediatric discharges, 20% occurred in households with a mean annual income >$63,000 compared with only 12% for children who were HIV positive. During hospitalization, at least one procedure was performed in 56.6% of children with HIV compared with 45.65% of hospitalized children without HIV. The most frequently observed diagnoses associated with children infected with HIV were gastrointestinal disorders, mental disorders, and bacterial infections and sepsis. CONCLUSIONS: The results suggest that pediatric patients who were HIV positive were significantly older, from lower-income areas, and members of minority groups. They underwent more procedures during hospitalization, incurred more than twice the total cost, stayed in the hospital twice as long, and had statistically higher in-hospital mortality than children who were HIV negative. As we continue to explore effective and judicious treatment options for patients who are HIV positive, our national estimates of resource utilization can be used to conduct a more detailed examination of current medical practices and specific patterns of diagnoses associated with HIV infection in the US pediatric population.

Determinants of Elevated Alkaline Phosphatase in Patients Infected with HIV.

OBJECTIVES: A retrospective cross-sectional study was performed to assess the prevalence of elevated alkaline phosphatase (ALP) in patients infected with human immunodeficiency virus (HIV) and to determine the relation between ALP and specific antiretroviral therapy (ART). METHODS: A total of 2990 patients were included in this study. Data were collected from a major academic institution's HIV clinic using the most recent searchable values from patients' medical records. Included patients were 18 to 89 years old, had HIV, and their ALP results were available. Elevated ALP was defined as ALP >120 IU/L. Logistic regression analyses were performed to calculate odds ratios (ORs) and 95% confidence intervals (CIs) for predictors of elevated ALP level. RESULTS: In our total population of 2990, 15.4% (n = 459) had elevated ALP. In the bivariate analyses, older age (≥60 years; OR 4.1, 95% CI 2.6-6.4), female sex (OR 1.6, 95% CI 1.3-1.9), Other race (not African American) vs white (OR 1.9, 95% CI 1.8-3.3), elevated creatinine (OR 2.9, 95% CI 2.1-4.1), laboratory evidence of liver disease (OR 2.1, 95% CI 1.7-2.6), CD4 count <200 cells per cubic millimeter (OR 2.5, 95% CI 2.0-3.2), hepatitis C infection (OR 1.9, 95% CI 1.4-2.5), laboratory markers of bone turnover (OR 1.9, 95% CI 1.2-3.1), and non-nucleoside reverse-transcriptase inhibitors use (OR 1.2, 95% CI 1.02-1.15) were significantly associated with elevated ALP. Only the association with laboratory markers of bone turnover remained significant in the multivariate analysis, however. CONCLUSIONS: The results suggest that comorbidities and demographic variables have stronger associations with elevated ALP than specific antiretroviral therapy. Future research should be conducted to define the clinical significance of elevated ALP among patients infected with HIV.