Evaluating abusive head trauma in children <5 years old: Risk factors and the importance of the social history.

BACKGROUND: Abusive head trauma (AHT) is the leading cause traumatic death in children ≤5 years of age. AHT remains seriously under-surveilled, increasing the risk of subsequent injury and death. This study assesses the clinical and social risks associated with fatal and non-fatal AHT. METHODS: A single-institution, retrospective review of suspected AHT patients ≤5 years of age between 2010 and 2016 using a prospective hospital forensic registry data yielded demographic, clinical, family, psycho-social and other follow-up information. Descriptive statistics were used to look for differences between patients with AHT and accidental head trauma. Logistic regression estimated the adjusted odds ratios (AOR) for AHT. A receiver operating characteristic (ROC) curve was created to calculate model sensitivity and specificity. RESULTS: Forensic evaluations of 783 children age ≤5 years with head trauma met the inclusion criteria; 25 were fatal with median[IQR] age 23[4.5-39.0] months. Of 758 non-fatal patients, age was 7[3.0-11.0] months; 59.5% male; 435 patients (57.4%) presented with a skull fracture, 403 (53.2%) with intracranial hemorrhage. Ultimately 242 (31.9%) were adjudicated AHT, 335(44.2%) were accidental, 181 (23.9%) were undetermined. Clinical factors increasing the risk of AHT included multiple fractures (Exp(ß) = 9.9[p = 0.001]), bruising (Expß = 5.7[p < 0.001]), subdural blood (Exp(ß) = 5.3[p = 0.001]), seizures (Exp(ß) = 4.9[p = 0.02]), lethargy/unresponsiveness (Exp(ß) = 2.24[p = 0.02]), loss of consciousness (Exp(ß) = 4.69[p = 0.001]), and unknown mechanism of injury (Exp(ß) = 3.9[p = 0.001]); skull fracture reduced the risk of AHT by half (Exp(ß) = 0.5[p = 0.011]). Social risks factors included prior police involvement (Exp(ß) = 5.9[p = 0.001]), substance abuse (Exp(ß) = 5.7[p = .001]), unknown number of adults in the home (Exp(ß) = 4.1[p = 0.001]) and intimate partner violence (Exp(ß) = 2.3[p = 0.02]). ROC area under the curve (AUC) = 0.90([95% CI = 0.86-0.93] p = .001) provides 73% sensitivity; 91% specificity. CONCLUSIONS: To improve surveillance of AHT, interviews should include and consider social factors including caregiver/household substance abuse, intimate partner violence, prior police involvement and household size. An unknown number of adults in home is associated with an increased risk of AHT. STUDY TYPE/LEVEL OF EVIDENCE: Prognostic, Level III.

Moving Toward Standardized Pediatric Performance Improvement Measures in Child Physical Abuse: A Modified Delphi Approach.

BACKGROUND: Limited guidance exists for pediatric trauma centers (PTCs) regarding best practice for measuring and reviewing performance improvement (PI) in the child physical abuse population. To move PTC programs toward standardized guidelines and PI practices, current practice and points of consensus among level 1 and 2 PTCs across the United States were assessed. METHODS: Utilizing a two-round, modified Delphi methodology, electronic surveys were distributed to pediatric trauma program managers and coordinators representing 125 PTCs. Survey data included demographics, coding practices, definitions, current PI measures, prevention programs, and opinions regarding key components of child physical abuse guidelines. RESULTS: In Round 1, responses were received from 90 (72%) PTCs [47 (84%) ACS-verified level 1 PTCs; 29 (73%) ACS-verified level 2 PTCs; and 14 (48%) state PTCs]. Of the respondents, 87% agreed that establishing a national consensus for child physical abuse PI is important, and 92% agreed that their institution would benefit from standardized guidelines. Although PI process varied among PTCs in terms of measures, review, and coding practices, several points of consensus were achieved. CONCLUSION: Survey results demonstrate areas of consistency and a foundation for consensus among PTCs. Results also identify areas of practice diversity that may benefit from an attempt to standardize PI across centers.

Inflicted versus unintentional injury: towards improved detection and surveillance of supervisory neglect.

BACKGROUND: Many children evaluated for child abuse have non-inflicted injuries due to supervisory neglect. Despite its prevalence, supervisory neglect has received minimal attention. METHODS: We performed a retrospective review of patients maintained in a hospital forensic registry. Text analytics software was used to classify types of supervisory neglect from reported mechanism of injury (MOI). Logistic regression was used to assess risks associated with supervisory neglect. RESULTS: For 1185 eligible patients, 553 were classified as having unintentional injuries. Text analysis identified four types of supervisory neglect for falls (N = 376): interrupted supervision (53.4%); failure to adapt the home (26.7%); safety equipment non-compliance (12.8%); inadequate substitute care (7.0%); a fifth category was identified for non-falls (N = 54): rough handling (32.0%). Supervisory neglect was associated with MOI consistent with the injury (AOR = 15.5[p < 0.001]), no loss of consciousness (AOR = 6.8(p < 0.001]), no bruising away from the injury site (AOR = 3.7[p < 0.001]), and direct hospital presentation (AOR = 1.8[p < 0.05]). Of the 553 with unintentional injury, 62% had isolated head injuries; 20%, however, had evidence of prior head trauma. CONCLUSIONS: Interrupted supervision was the most common form of supervisory neglect. Twenty percent of forensics patients with head injury found to have non-inflicted injuries had evidence of prior head injury. Supervisory neglect suggests a high-risk population. LEVEL OF EVIDENCE: Level II, Prognosis.

Distress Tolerance as a Correlate of Tobacco Dependence and Motivation: Incremental Relations over and above Anxiety and Depressive Symptoms.

Distress tolerance-the capacity to withstand distressing states-is implicated in the etiology of regular smoking. The present study extends past research by examining whether relations between perceived distress tolerance and smoking-related factors: (1) differ across subdimensions of distress tolerance (Tolerance, Appraisal, Regulation, Absorption); (2) extend across measures of dependence, negative reinforcement smoking, and craving; and (3) are incremental to depressive and anxiety symptoms. Results showed that global distress tolerance was associated with measures of dependence, negative reinforcement, and craving even after controlling for affective symptomatology. Subdimensions of distress tolerance were not uniquely related to smoking outcomes in unadjusted or adjusted models. These findings suggest that: (a) distress tolerance is uniquely implicated in smoking over and above affective symptomatology; and (b) specific subdimensions of distress tolerance do not provide more information about smoking-related characteristics than global dimensions; and

Positive and negative affect as predictors of urge to smoke: temporal factors and mediational pathways.

Elucidating interrelations between prior affective experience, current affective state, and acute urge to smoke could inform affective models of addiction motivation and smoking cessation treatment development. This study tested the hypothesis that prior levels of positive (PA) and negative (NA) affect predict current smoking urge via a mediational pathway involving current state affect. We also explored if tobacco deprivation moderated affect-urge relations and compared the effects of PA and NA on smoking urge to one another. At a baseline session, smokers reported affect experienced over the preceding few weeks. At a subsequent experimental session, participants were randomly assigned to 12-hr tobacco deprived (n = 51) or nondeprived (n = 69) conditions and reported state affect and current urge. Results revealed a mediational pathway whereby prior NA reported at baseline predicted state NA at the experimental session, which in turn predicted current urge. This mediational pathway was found primarily for an urge subtype indicative of urgent need to smoke and desire to smoke for NA relief, was stronger in the deprived (vs. nondeprived) condition, and remained significant after controlling for PA. Prior PA and current state PA were inversely associated with current urge; however, these associations were eliminated after controlling for NA. These results cohere with negative reinforcement models of addiction and with prior research and suggest that: (a) NA plays a stronger role in smoking motivation than PA; (b) state affect is an important mechanism linking prior affective experience to current urge; and (c) affect management interventions may attenuate smoking urge in individuals with a history of affective disturbance.

Anxiety sensitivity as a predictor of acute subjective effects of smoking.

INTRODUCTION: Anxiety sensitivity (i.e., AS; the degree to which one believes that anxiety and its related sensations are harmful) is a stable trait that is associated with habitual smoking. Yet, the mechanisms linking AS and smoking are unclear. A promising hypothesis is that high-AS individuals are more sensitive to the acute subjective reinforcing effects of smoking and are, therefore, more prone to tobacco dependence. This study examined trait AS as a predictor of several subjective effects of cigarette smoking. METHODS: Adult non-treatment-seeking smokers (N = 87; 10+ cigarettes/day) completed a measure of AS during a baseline session. Prior to a subsequent experimental session, participants were asked to smoke normally before their appointment. At the outset of that visit, each participant smoked a single cigarette of their preferred brand in the laboratory. Self-report measures of affect and cigarette craving were completed before and after smoking, and post-cigarette subjective effect ratings were provided. RESULTS: AS predicted greater increases in positive affect from pre- to post-cigarette (ß = .30, p = .006) as well as greater smoking satisfaction and psychological reward (ß = .23 to .48, ps < .03). Each of these effects remained statistically significant after adjusting for anxiety symptom severity. AS did not predict the degree of negative affect and craving suppression or post-cigarette aversive effects. CONCLUSIONS: These findings suggest that positive reinforcement mechanisms may be particularly salient etiological processes that maintain smoking in high-AS individuals.

Associations between posttraumatic stress disorder symptom clusters and cigarette smoking.

Understanding the relationship between Posttraumatic stress disorder (PTSD) and cigarette smoking has been difficult because of PTSD's symptomatic heterogeneity. This study examined common and unique lifetime cross-sectional relationships between PTSD symptom clusters [Re-experiencing (intrusive thoughts and nightmares about the trauma), Avoidance (avoidance of trauma-associated memories or stimuli), Emotional Numbing (loss of interest, interpersonal detachment, restricted positive affect), and Hyperarousal (irritability, difficulty concentrating, hypervigilance, insomnia)] and three indicators of smoking behavior: (1) smoking status; (2) cigarettes per day; and (3) nicotine dependence. Participants were adult respondents in the National Epidemiologic Survey of Alcohol and Related Conditions with a trauma history (n = 23,635). All four symptom clusters associated with each smoking outcome in single-predictor models (ps <. 0001). In multivariate models including all of the symptom clusters as simultaneous predictors, Emotional Numbing was the only cluster to retain a significant association with lifetime smoking over and above the other clusters, demographics, and Axis-I comorbidity (OR = 1.30, p < .01). While Avoidance uniquely associated with smoking status and nicotine dependence in multivariate models, these relations fell below significance after adjusting for demographics and comorbidity. No clusters uniquely associated with cigarettes per day. Hyperarousal uniquely related with nicotine dependence over and above the other clusters, demographics, and Axis-I comorbidity (OR = 1.51, p < .001). These results suggest the following: (a) common variance across PTSD symptom clusters contribute to PTSD's linkage with smoking in the American population; and (b) certain PTSD symptom clusters may uniquely associate with particular indicators of smoking behavior. These findings may clarify the underpinnings of PTSD-smoking comorbidity and inform smoking interventions for trauma-exposed individuals.

Associations between depressive symptom dimensions and smoking dependence motives.

Depressive symptoms are heterogeneous and can be parsed into four subdimensions (i.e., positive affect [PA], negative affect [NA], somatic features [SF], and interpersonal problems [IP]) that may have unique associations with the motivation to smoke. This study explored associations between depressive symptom dimensions and 13 theoretically distinct domains of smoking dependence motivation in current cigarette smokers (N = 212; 53% female, mean [M] age = 24 years). Results demonstrated substantial variability in the pattern of motivational correlates across depressive dimensions. Low PA exhibited the narrowest motivational profile, associating with only the tendency to prioritize smoking over other reinforcers. NA demonstrated a broader profile, associating with smoking for affect regulation and cognitive enhancement as well as prioritizing smoking. SF associated with prioritizing smoking and smoking because of cue exposure, craving, and weight control. IP demonstrated the broadest profile, associating with 7 of 13 motivational domains. These findings may assist the tailoring cessation interventions for smokers with depressive symptoms.

Anhedonia associated with stimulant use and dependence in a population-based sample of American adults.

Prior research suggests an association between anhedonia--diminished interest or pleasure in rewarding activities--and stimulant use in selected samples. However, it is unclear whether this association generalizes to the overall population and is consistent across stimulant drug types (amphetamine vs. cocaine) and outcome characteristics (any lifetime use vs. dependence). Questions also remain as to whether the anhedonia-stimulant relationship is unique from covariance with depressed mood, psychiatric disorders, and nonstimulant substance use. The current study addressed these questions by examining anhedonia-stimulant relationships in a cross-sectional population-based sample of 43,093 American adults. Results indicated that lifetime anhedonia and depressed mood each were positively associated with lifetime stimulant use and lifetime dependence among those who reported stimulant use. Anhedonia-stimulant relationships were consistent across amphetamine- and cocaine-related outcomes and distinct from covariance with depressed mood, which exhibited no association over and above the effect of anhedonia. After adjusting for demographic, psychiatric, and nonstimulant substance use characteristics, anhedonia-stimulant associations remained significant, although effect sizes were partially attenuated. Lifetime anhedonia was also more prevalent among respondents who initiated use but did not eventually progress to dependence in comparison with individuals who never once used a stimulant drug. Anhedonia appears to be uniquely associated with lifetime use of cocaine and amphetamines and lifetime progression from use to dependence in the American population. Albeit cross-sectional in nature, these findings add further support to the generalizability and specificity of the anhedonia-stimulant relationship. Future research utilizing longitudinal and experimental designs are warranted to clarify the underpinnings of this association.