Identifying and classifying opioid-related overdoses: A validation study.

PURPOSE: The study aims to develop and validate algorithms to identify and classify opioid overdoses using claims and other coded data, and clinical text extracted from electronic health records using natural language processing (NLP). METHODS: Primary data were derived from Kaiser Permanente Northwest (2008-2014), an integrated health care system (~n > 475 000 unique individuals per year). Data included International Classification of Diseases, Ninth Revision (ICD-9) codes for nonfatal diagnoses, International Classification of Diseases, Tenth Revision (ICD-10) codes for fatal events, clinical notes, and prescription medication records. We assessed sensitivity, specificity, positive predictive value, and negative predictive value for algorithms relative to medical chart review and conducted assessments of algorithm portability in Kaiser Permanente Washington, Tennessee State Medicaid, and Optum. RESULTS: Code-based algorithm performance was excellent for opioid-related overdoses (sensitivity = 97.2%, specificity = 84.6%) and classification of heroin-involved overdoses (sensitivity = 91.8%, specificity = 99.0%). Performance was acceptable for code-based suicide/suicide attempt classifications (sensitivity = 70.7%, specificity = 90.5%); sensitivity improved with NLP (sensitivity = 78.7%, specificity = 91.0%). Performance was acceptable for the code-based substance abuse-involved classification (sensitivity = 75.3%, specificity = 79.5%); sensitivity improved with the NLP-enhanced algorithm (sensitivity = 80.5%, specificity = 76.3%). The opioid-related overdose algorithm performed well across portability assessment sites, with sensitivity greater than 96% and specificity greater than 84%. Cross-site sensitivity for heroin-involved overdose was greater than 87%, specificity greater than or equal to 99%. CONCLUSIONS: Code-based algorithms developed to detect opioid-related overdoses and classify them according to heroin involvement perform well. Algorithms for classifying suicides/attempts and abuse-related opioid overdoses perform adequately for use for research, particularly given the complexity of classifying such overdoses. The NLP-enhanced algorithms for suicides/suicide attempts and abuse-related overdoses perform significantly better than code-based algorithms and are appropriate for use in settings that have data and capacity to use NLP.

Development and evaluation of a standardized research definition for opioid overdose outcomes.

Background: Increasing epidemiologic and intervention research is being conducted on opioid overdose, a serious and potentially fatal outcome. However, there is little consensus on how to verify opioid overdose outcomes for research purposes. To ensure reproducibility, minimize misclassification, and permit data harmonization across studies, standardized and consistent overdose definitions are needed. The aims were to develop a case criteria classification scheme based on information commonly available in medical records and to compare it with reviewing physician clinical impression and simple encounter documentation. Methods: In 2 large health systems, we developed a case criteria classification scheme for opioid overdose based on prior literature, expert opinion, and pilot testing with sample medical records. We then identified emergency department and hospital encounters (n = 259) with at least 1 International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) code representing a broad range of opioid and non-opioid related poisonings. Physicians conducted structured medical record reviews to identify the proposed case criteria and generate a clinical impression, and trained abstractors verified documentation. We then compared the case criteria classification scheme with clinical impression and encounter documentation. Results: We developed a quantitative opioid overdose case criteria classification scheme that included 3 sets of major criteria and 9 minor criteria (supporting documentation). For the encounters identified using poisoning codes, the proportion verified as opioid overdoses using the case criteria classification scheme, clinical impression, and encounter documentation ranged from 50.4% to 52.7% at one site and 55.5% to 67.2% at the second site. Discrepancies across approaches and sites related to differences in available records and documentation of clinical signs of overdose. Conclusions: We propose a novel case criteria classification scheme for opioid overdose that could be used to rigorously and consistently define overdose across multiple research settings. However, prior to widespread use, further refinement and validation are needed.

Drug overdose in the ED: a record linkage study examining emergency department ICD-10 coding practices in a cohort of people who inject drugs.

BACKGROUND: Drug overdose is a leading cause of mortality and morbidity amongst people who inject drugs (PWID). Drug overdose surveillance typically relies on the International Classification of Diseases (ICD-10) coding system, however its real world utilisation and the implications for surveillance have not been well characterised. This study examines the patterns of ICD-10 coding pertaining to drug overdoses within emergency departments for a cohort of known PWID. METHODS: Cohort data from 688 PWID was linked to statewide emergency department administrative data between January 2008 and June 2013. ICD-10 diagnostic codes pertaining to poisonings by drugs, medicaments and biological substances (T-codes T36-T50) as well as mental and behavioural disorders due to psychoactive substance use (F-codes F10-F19) were examined. RESULTS: There were 449 unique ED presentations with T or F code mentions contributed by 168 individuals. Nearly half of the T and F codes used were non-specific and did not identify either a drug class (n = 160, 36%) or clinical reaction (n = 46, 10%) and 8% represented withdrawal states. T and F codes could therefore be used to reasonably infer an illicit drug overdose in only 42% (n = 188) of cases. Majority of presentations with T or F overdose codes recorded only one diagnostic code per encounter (83%) and representing multiple-drug overdose (F19.- = 18%) or unidentified substances (T50.9 = 17%) using a single, broad diagnostic code was common. CONCLUSIONS: Reliance on diagnoses alone when examining ED data will likely significantly underestimate incidence of specific drug overdose due to frequent use of non-specific ICD-10 codes and the use of single diagnostic codes to represent polysubstance overdose. Measures to improve coding specificity should be considered and further work is needed to determine the best way to use ED data in overdose surveillance.

Intentional and accidental paracetamol poisoning in childhood - a retrospective analysis.

INTRODUCTION: Paracetamol is one of the most commonly used analgesics and antipyretics available without limits as preparations of the OTC group (over the counter drugs). Overdose and poisoning with this drug always brings about the risk of acute hepatic failure. The objective of the study was a retrospective evaluation of patients hospitalized in the Paediatric Clinic during the period 2004-2012 due to poisoning with paracetamol. MATERIAL AND METHODS: The analysis covered 44 patients hospitalized in the Paediatric Clinic during 2004-2012 due to poisoning with paracetamol. Patients were divided into three groups: intentional poisonings, accidental poisonings, and drug overdose. RESULTS: During the period of the study, 44 patients aged 2.1-17.1, poisoned with paracetamol, were hospitalized. Among these patients there were 30 (68.2%) cases of intentional poisonings, 10 (22.7%) of accidental poisonings, and only 4 patients (9.1%) were children hospitalized after a paracetamol overdose. The majority of patients in all groups were females (93.3%). DISCUSSION: Paracetamol intoxication may occur after exceeding a single allowable dose, in the case of intentional poisoning, more rarely after exceeding the daily dose, in the case of intense pain complaints, or in the treatment of persistent fever. Based on the analysis performed, an increase was observed in the frequency of poisoning with paracetamol, especially intentional poisoning. Unlimited access to paracetamol as an OTC drug should be reconsidered.

In-hospital mortality and long-term survival of patients with acute intoxication admitted to the ICU.

OBJECTIVE: To assess in-hospital and long-term mortality of Dutch ICU patients admitted with an acute intoxication. DESIGN: Cohort of ICU admissions from a national ICU registry linked to records from an insurance claims database. SETTING: Eighty-one ICUs (85% of all Dutch ICUs). PATIENTS: Seven thousand three hundred thirty-one admissions between January 1, 2008, and October 1, 2011. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Kaplan-Meier curves were used to compare the unadjusted mortality of the total intoxicated population and for specific intoxication subgroups based on the Acute Physiology and Chronic Health Evaluation IV reasons for admission: 1) alcohol(s), 2) analgesics, 3) antidepressants, 4) street drugs, 5) sedatives, 6) poisoning (carbon monoxide, arsenic, or cyanide), 7) other toxins, and 8) combinations. The case-mix adjusted mortality was assessed by the odds ratio adjusted for age, gender, severity of illness, intubation status, recurrent intoxication, and several comorbidities. The ICU mortality was 1.2%, and the in-hospital mortality was 2.1%. The mortality 1, 3, 6, 12, and 24 months after ICU admission was 2.8%, 4.1%, 5.2%, 6.5%, and 9.3%, respectively. Street drugs had the highest mortality 2 years after ICU admission (12.3%); a combination of different intoxications had the lowest (6.3%). The adjusted observed mortality showed that intoxications with street drugs and "other toxins" have a significant higher mortality 1 month after ICU admission (odds ratioadj = 1.63 and odds ratioadj= 1.73, respectively). Intoxications with alcohol or antidepressants have a significant lower mortality 1 month after ICU admission (odds ratioadj = 0.50 and odds ratioadj = 0.46, respectively). These differences were not found in the adjusted mortality 3 months upward of ICU admission. CONCLUSIONS: Overall, the mortality 2 years after ICU admission is relatively low compared with other ICU admissions. The first 3 months after ICU admission there is a difference in mortality between the subgroups, not thereafter. Still, the difference between the in-hospital mortality and the mortality after 2 years is substantial.

Validation of ICD-9-CM codes for identification of acetaminophen-related emergency department visits in a large pediatric hospital.

BACKGROUND: Acetaminophen overdose is a major concern among the pediatric population. Our objective was to assess the validity of International Classification of Disease (ICD-9-CM) codes for identification of pediatric emergency department (ED) visits resulting from acetaminophen exposure or overdose. METHODS: We conducted a retrospective medical record review of ED visits at Texas Children's Hospital in Houston, Texas, between January 1, 2005, and December 31, 2010. Visits coded with 1 or more ICD-9 codes for poisoning (965, 977, and their subcodes and supplemental E-codes E850, E858, E935, E947, and E950 and their subcodes) were identified from an administrative database, and further review of the medical records was conducted to identify true cases of acetaminophen exposure or overdose. We then examined the sensitivity, positive predictive value, and percentage of false positives identified by various codes and code combinations to establish which codes most accurately identified acetaminophen exposure or overdose. RESULTS: Of 1,215 ED visits documented with 1 or more of the selected codes, 316 (26.0%) were a result of acetaminophen exposure or overdose. Sensitivity was highest (87.0%) for the combination of codes 965.4 (poisoning by aromatic analgesics, not elsewhere classified) and E950.0 (suicide and self-inflicted poisoning by analgesics, antipyretics, and antirheumatics), with a positive predictive value of 86.2%. Code 965.4 alone yielded a sensitivity of 85.1%, with a positive predictive value of 92.8%. Code performance varied among age groups and depending on the type of exposure (intentional or unintentional). CONCLUSION: ICD-9 codes are useful for ascertaining which ED visits are a result of acetaminophen exposure or overdose within the pediatric population. However, because ICD-9 coding differs by age group and depending on the type of exposure, hypothesis-driven strategies must be utilized for each pediatric age group to avoid misclassification.

Exploration of Overdose Risk Score and Postoperative Complications and Health Care Use After Total Knee Arthroplasty.

Importance: The adverse outcomes after total knee arthroplasty (TKA) associated with preoperative prescription drug use (ie, use of narcotics, sedatives, and stimulants) have been established but are not well quantified. Objective: To test the association of preoperative overdose risk score (ORS) with postoperative health care use. Design, Setting, and Participants: This cohort study was conducted using data on a consecutive sample of individuals who underwent primary TKA from November 2018 through March 2020 at a tertiary care health system. Data were collected using the Orthopaedic Minimal Data Set Episode of Care, a validated data-collection system for all elective orthopedic surgical interventions taking place within the health care system. Outcomes were assessed at 90 days postoperatively. Individuals whose preoperative baseline characteristics or ORS were not provided or who declined to participate were excluded. Data were analyzed from September through October 2020. Exposure: Patient-specific preoperative ORS, as measured using NarxCare, associated with patterns of prescription drug use. Main Outcomes and Measures: Associations between patient-specific ORS categories and 90-day postoperative health care use (ie, prolonged hospital length of stay [LOS; ie, >2 days], nonhome discharge, all-cause 90-day readmission, emergency department [ED] visits, and reoperation) were evaluated. Outcomes were also compared between a group of individuals with ORS less than 300 vs those with ORS 300 or greater who were propensity score matched (4:1; caliper, 0.1) using demographic characteristics (ie, age, sex, race, body mass index, and smoking status) and baseline comorbidities. Results: Among 4326 individuals who underwent primary TKA, 2623 (60.63%) were women, 3602 individuals (83.26%) were White, the mean (SD) BMI was 32.8 (6.9), and the mean (SD) age was 66.6 (9.2) years; 90-day follow-up was available for the entire cohort. The predominant preoperative diagnosis was osteoarthritis, occurring among 4170 individuals (96.4%). For individuals with an ORS of 300 to 399, there were significantly higher odds of a prolonged LOS (odds ratio [OR], 2.03; 95% CI, 1.46-2.82; P < .001), nonhome discharge (OR, 2.01; 95% CI, 1.37-2.94; P < .001), all-cause 90-day readmission (OR, 1.56; 95% CI, 1.01-2.42; P < .001), and ED visits (OR, 1.62; 95% CI, 1.11-2.38; P = .01) compared with individuals who were prescription drug naive (ie, ORS = 0). Individuals in the highest ORS category (ie, ORS ≥ 500) had the highest ORs for prolonged LOS (OR, 3.71; 95% CI, 2.00-6.87; P < .001), nonhome discharge (OR, 4.09; 95% CI, 2.02-8.29; P < .001), 90-day readmission (OR, 4.41; 95% CI, 2.23-8.71; P < .001), and 90-day reoperation (OR, 6.09; 95% CI, 1.44-25.80; P = .01). Propensity score matching confirmed the association between an ORS of 300 or greater and the incidence of prolonged LOS (244 individuals [11.6%] vs 130 individuals [23.0%]; P < .001), nonhome discharge (176 individuals [8.4%] vs 93 individuals [16.4%]; P < .001), all-cause 90-day readmission (119 individuals [5.7%] vs 65 individuals [11.5%]; P < .001), and all-cause ED visits (198 individuals [9.4%] vs 76 individuals [13.4%]; P = .006). Conclusions and Relevance: This study found that higher ORS was associated with increased health care use after primary TKA. These findings suggest that an ORS of 300 or greater could be used to designate increased risk and guide the preoperative surgeon-patient discussion to modify prescription drug use patterns.

[Coding practice in fatal poisonings]. / Kodepraksis ved forgiftningsdødsfall.

BACKGROUND: Each year, nearly 100 deaths and more than 10,000 admissions to Norwegian hospitals can be attributed to acute poisoning from non-medical substances and drugs in supra-therapeutic doses. The aim of this study was to evaluate hospitals' routines for coding of acute poisoning deaths and to provide information on the toxic agents involved. MATERIAL AND METHODS: Medical records of deaths (at 6 Norwegian hospitals in the period 1.1.1999 -31.12.2005) due to acute poisoning were re-examined to assess accuracy of diagnosis codes. RESULTS: Acute poisoning was registered as the cause of 225 deaths in the study period. The re-evaluation concluded that 45 of these deaths had other causes. In 125 of the remaining 180 deaths, acute poisoning was only registered as a side diagnosis, although re-examination revealed it was the major contribution to death in 66 % (83 of 125) of cases. The hospitals had classified the drugs according to ATC codes in 16 % (28 of 180) of patients with acute poisoning. INTERPRETATION: The present Norwegian coding practice does not document acute poisoning deaths in hospital correctly, and registry studies based on diagnosis codes should be interpreted with care. Current registration of poisoning agents' ATC-codes is insufficient and the Norwegian version of ICD-10 alone is not suitable for classification of acute drug poisoning. Replacement of the Norwegian ICD-10 version by the original international version should be considered and/or the routines for registration of ATC-codes should be improved.

[Overdose statistics--a complicated account]. / Overdosestatistikk--et komplisert regnskap.

BACKGROUND: Norwegian media often claim that a disproportionately high number of deaths in Norway are caused by overdoses. The police statistics in 2007 showed an increase in the number of overdose deaths, and many media postings focused on this in autumn 2008. In this paper we investigate the basis for those police statistics and discuss problems associated with calculating deaths caused by use of illegal substances. MATERIAL AND METHODS: The police registries of overdose deaths were anonymized in the period 2005-2007. The deaths were coded according to type of substance involved. RESULTS: In 2007, 62 deaths were coded as overdose deaths without any use of illegal substances; in 2005 this was the case for 24 deaths and in 2006 for 25. The maximum proportions of deaths in Oslo that can be related to heroine were 91.7 % in 2006 and 57.8 % in 2007. In the rest of the country the corresponding numbers were 68.8 % and 62.2 %. INTERPRETATION: A considerable number of deaths without use of illegal drugs are counted as overdose deaths. The increase found in Norway in 2007 is largely explained by changes in registration routines in Oslo. The high number of overdose deaths can partly be explained by methodological problems with registration. Nevertheless, the number of overdose deaths is high and of major concern. Causes of deaths should be discriminated better in the overdose statistics in order to improve the preventive strategies.

Heroin overdose masquerades as methomyl poisoning: a case report.

BACKGROUND: Methomyl is the most common cause of suicidal death but heroin is the most common cause of accidental death. The problem is to determine the exact cause and manner of death between methomyl or heroin toxicity. The evidence from autopsy includes crime scene investigation, toxicological analysis by liquid chromatography with mass spectrometry, and knowledge of methomyl and heroin intoxication. CASE PRESENTATION: A 35-year-old Thai man and a 30-year-old Thai woman were found showing evidence of cyanosis, with a fine froth around the nose and mouth. Postmortem interval time was 24 hours. According to the police's and hotel owner's records, the couple stayed together for 1 day before being found dead in bed, naked, with a foul and a fine froth around the nose and mouth. A methomyl insecticide sachet and a plastic box containing white powder form of heroin were found at the scene. Laboratory tests of the male corpse identified the presence of methomyl in the blood of the stomach and morphine, codeine, methadone, and tramadol in the systemic blood. Blood cholinesterase enzyme activity and morphine concentration was 3416 U/L or 53% (normal 6400 U/L) and 0.058 µg/ml respectively. Laboratory test of the female corpse identified the presence of methomyl in the stomach and blood, and cholinesterase enzyme activity was 1965 U/L or 30.7%. CONCLUSIONS: Cause of death of the male corpse was deemed to be due to heroin intoxication as the blood concentration of morphine was more than the lethal concentration with a morphine/codeine ratio of more than 1:1. Methomyl intoxication of the male corpse was unlikely to be the cause of death because methomyl systemic blood concentration was found to be very low, < 2.5 µg/ml, and cholinesterase enzyme levels did not indicate lethal activity (< 10-15% of normal). The main problem regarding an insurance claim is that the policy will not pay out in the case of heroin-associated deaths, as it is an addictive drug. The policy would pay out on death by suicide with methomyl insecticide, which was not prohibited by the insurance company after 1 year of insurance. So, it is not clear whether or not the family will receive money from the insurance company.

An analysis of issues in the classification and reporting of heroin-related deaths.

AIMS: To investigate the extent of variability in the reporting of heroin-related deaths in Victoria, Australia. Additionally, to identify opportunities to improve the accuracy and consistency of heroin-related death reporting by examining variability in the attribution, death certification, classification and coding of heroin-related death cases. METHODS: Heroin-related deaths in Victoria, Australia during a 2-year period (2012-13) were identified using the National Coronial Information System (NCIS) and used as the 'gold standard' measure in this study. Heroin-related death data from the Australian Institute of Health and Welfare (AIHW) and Australian Bureau of Statistics (ABS) were then compared. Differences in the number of deaths reported as well as the classification and coding assigned to the identified heroin-related death cases were investigated by cross-referencing these data sets and examining the assigned ICD-10 codes. RESULTS: A total of 243 heroin-related deaths were identified through the NCIS compared with 165 heroin-related deaths reported by the AIHW and assigned the heroin-specific ICD-10 code of T40.1. Forty per cent of all the missed heroin-related death cases resulted from either the attribution of the death to morphine toxicity or with non-specific drug toxicity certification; 30% occurred where the cases had been attributed to heroin but there were irregularities in death certification. Additional missed heroin-related death cases occurred as a result of late initial registration of these deaths to the Registry of Births, Deaths and Marriages, and where these cases were then not assessed by the ABS for classification and coding purposes. CONCLUSIONS: In Victoria, Australia, in 2012 and 2013, the overall number of heroin-related deaths was under-reported by 32% compared with the number of deaths currently identified by the Australian Bureau of Statistics and reported by the Australian Institute of Health and Welfare.

The Effect of Incomplete Death Certificates on Estimates of Unintentional Opioid-Related Overdose Deaths in the United States, 1999-2015.

OBJECTIVES: A complete and accurate count of the number of opioid-related overdose deaths is essential to properly allocate resources. We determined the rate of unintentional overdose deaths (non-opioid-related, opioid-related, or unspecified) in the United States and by state from 1999 to 2015 and the possible effects of underreporting on national estimates of opioid abuse. METHODS: We abstracted unintentional drug overdose deaths ( International Classification of Diseases, 10th Revision, codes X40-X44) with contributory drug-specific T codes (T36.0-T50.9) from the Mortality Multiple Cause Micro-Data Files. We assumed that the proportion of unspecified overdose deaths that might be attributed to opioids would be the same as the proportion of opioid-related overdose deaths among all overdose deaths and calculated the number of deaths that could be reallocated as opioid-related for each state and year. We then added these reallocated deaths to the reported deaths to determine their potential effect on total opioid-related deaths. RESULTS: From 1999 to 2015, a total of 438 607 people died from unintentional drug overdoses. Opioid-related overdose deaths rose 401% (from 5868 to 29 383), non-opioid-related overdose deaths rose 150% (from 3005 to 7505), and unspecified overdose deaths rose 220% (from 2255 to 29 383). In 5 states (Alabama, Indiana, Louisiana, Mississippi, and Pennsylvania), more than 35% of unintentional overdose deaths were coded as unspecified. Our reallocation resulted in classifying more than 70 000 unspecified overdose deaths as potential additional opioid-related overdose deaths. CONCLUSIONS: States may be greatly underestimating the effect of opioid-related overdose deaths because of incomplete cause-of-death reporting, indicating that the current opioid overdose epidemic may be worse than it appears.

State Unintentional Drug Overdose Reporting Surveillance: Opioid Overdose Deaths and Characteristics in Rhode Island.

Unintentional opioid overdoses are a growing public health epidemic in the United States. Rhode Island is also faced with a challenging crisis of drug overdose deaths. The State Unintentional Drug Overdose Reporting Surveillance (SUDORS) data from the second half of 2016 were used to present opioid overdose deaths and characteristics in Rhode Island. During July-December 2016, 142 individuals died of opioid overdose in Rhode Island. People who died by opioid overdose were more likely to be 25-65 years old, male, and non-Hispanic white. The most common precipitating circumstances were substance abuse (88%), current mental health problems (43%), and physical health problems (27.5%). Over 83% of decedents had 2 or more substances attribute to causing their death, with fentanyl (71.1%) as the most common substance. Only 36.6% of decedents had naloxone administered. Fatal opioid overdose data are important for understanding this public health crisis and can guide overdose intervention efforts.

Using medical examiner case narratives to improve opioid overdose surveillance.

BACKGROUND: Current opioid overdose mortality surveillance methods do not capture the complexity of the overdose epidemic. Most rely on death certificates, which may underestimate both opioid analgesic and heroin deaths. Categorizing deaths using other characteristics from the death record including route of drug administration may provide useful information to design and evaluate overdose prevention interventions. METHODS: We reviewed California Electronic Death Reporting System records and San Francisco Office of the Chief Medical Examiner (OCME) toxicology reports and investigative case narratives for all unintentional opioid overdose deaths in San Francisco County from 2006 to 2012. We chose this time period because it encompassed a period of evolution in local opioid use patterns and expansion of overdose prevention efforts. We created a classification system for heroin-related and injection-related opioid overdose deaths and compared demographic, death scene, and toxicology characteristics among these groups. RESULTS: We identified 816 unintentional opioid overdose deaths. One hundred fifty-two (19%) were standard heroin deaths, as designated by the OCME or by the presence of 6-monoacetylmorphine. An "expanded" classification for heroin deaths incorporating information from toxicology reports and case narratives added 20 additional heroin deaths (13% increase), accounting for 21% of all opioid deaths. Two hundred five deaths (25%) were injection-related, 60% of which were attributed to heroin. A combined classification of expanded heroin and injection-related deaths accounted for 31% of opioid overdose deaths during this period. CONCLUSIONS: Using additional sources of information to classify opioid overdose cases resulted in a modest increase in the count of heroin overdose deaths but identified a substantial number of non-heroin injection-related opioid analgesic deaths. Including the route of administration in the characterization of opioid overdose deaths can identify meaningful subgroups of opioid users to enhance surveillance efforts and inform targeted public health programming including overdose prevention programs.

The Opioid Crisis, Suicides, and Related Conditions: Multiple Clustered Syndemics, not Singular Epidemics.

In early April 2018, Dr. Maria Oquendo, President of the American Psychiatric Association, and Dr. Nora Volkow, Director of the National Institute on Drug Abuse, published a thought-provoking article in the New England Journal of Medicine about the role of suicide in the opioid overdose epidemic, referring to the relationship between them as a "hidden tragedy." Drs. Oquendo and Volkow drew our attention to the twinning of the opioid (and other drug) overdose and suicide epidemics, but these are not the first or only drug-related "twin epidemics." Numerous other related conditions, including pain disorders, adverse childhood experiences, posttraumatic stress disorders, HIV/AIDS, polydrug use and toxicity, and certain social determinants of health, may interact in a multiplicative and/or cumulative manner to adversely impact individuals and populations.Syndemic theory (Singer, 2009; Singer, Bulled, Ostrach, & Mendenhall, 2017) can be helpful for describing how certain conditions cluster and interact synergistically to exacerbate health effects, problem severity, and disease progression. This column argues that the opioid crisis can accurately be considered not only a singular epidemic, or even a singular syndemic when twinned with a suicide epidemic, but also a complex phenomenon that consists of multiple, related syndemic conditions in addition to suicide. These are multidimensional disorders, with multiple, often overlapping etiologies, so single-minded approaches will be ineffective. Consideration of syndemic interactions and their cumulative and multiplicative effects are helpful for guiding treatment and prognosis for individuals, and program planning and health policy for population health (Singer et al., 2017).

Impact of the Use of Regional Poison Control Centers in an Urban EMS Dispatch System.

BACKGROUND: The public commonly calls 911 for unintentional ingestions, rather than calling the local poison center. By utilizing a series of scripted questions, 911 dispatchers in Los Angeles determine if an ingestion meets "omega-1" classification. Under such circumstances, the regional poison center is contacted prior to dispatch of paramedics. If the poison center advises that the patient can remain at home, EMS is not dispatched and the patient is followed at home by the poison center. The primary objective is to determine the number of averted transports through involvement of a poison center. A secondary objective is to determine the potential costs and charges saved with the use of such a strategy. METHODS: A retrospective review of all overdose calls with an "omega-1" classification to a single EMS system between 1/2008-6/2012. Each call culminating in an EMS dispatch was subsequently reviewed by two additional reviewers. The cost savings was determined by utilizing data from the Medical Expenditure Panel Survey (MEPS) from 2000 to 2010. Monetary values were adjusted to 2012 dollars. RESULTS: Three hundred eighteen cases received "omega-1" dispatch classification. EMS was dispatched 19 times (5.98 %), and 11 patients (3.46 %) were ultimately transported. The most common reasons for transport were ambiguity over the ingested agent or amount, and caller insistence. Using these estimates, routine consultation of a regional poison center as part of EMS dispatch averted $486,595 in charges, and $183,279 in payments. CONCLUSIONS: Routine consultation of a poison center by emergency medical dispatchers can reduce unnecessary dispatches, ambulance transports, and ED visits with significant associated cost savings.

Classifying nonsuicidal overdoses: Nonsuicidal self-injury, suicide attempts, or neither?

Self-injurious behaviors (SIBs) are leading causes of death and injury. Unfortunately, disagreement regarding whether and how to classify suicidal and nonsuicidal SIBs has contributed to their misclassification, likely hindering clinical care and impeding scientific progress. The present study utilized a data-driven approach to facilitate classification and measurement of three forms of SIBs, with a particular focus on one with scant clinical and scientific attention: nonsuicidal overdoses (i.e. intentional overdoses where the person states that they had no intention of dying from the overdose). Results from this study demonstrated that nonsuicidal overdoses were similar to suicide attempts in terms of age of onset, and similar to nonsuicidal self-injury (NSSI) in terms of suicidal thoughts and desire to die when engaging in these behaviors. Nonsuicidal overdoses were unique from NSSI and suicide attempts in terms of the reported likelihood of dying from the behavior. The present study highlighted that current definitions for nonsuicidal behaviors (including requirements that the person has zero intent to die) may not accurately represent people's intent when engaging in these behaviors. Additionally, the present study highlighted that empirical analysis of SIBs can provide important insights for classification of SIBs.

Intentional drug overdose: predictors of clinical course in the intensive care unit.

OBJECTIVE: To examine the characteristics of patients admitted to the Medical Intensive Care Unit (MICU) after intentional drug overdose. DESIGN: Retrospective chart review, descriptive. SETTING: Midwestern teaching hospital. SUBJECTS: Convenience sample of 43 patients admitted to the MICU after intentional drug overdose. OUTCOME MEASURES: Survival and disposition of those patients who survived and were discharged from the MICU. RESULTS: Ninety-five percent of the patients survived and were discharged from the MICU; Acute Physiology and Chronic Health Evaluation II scores ranged from 1 to 29 (mean, 8); Glascow Coma Scale scores ranged from 3 to 15 (mean 12.5); five patients were intubated and two patients had serious electrocardiograph changes requiring pharmacologic intervention for dysrhythmia. CONCLUSIONS: Neurologic findings were the best indicators of serious complications after drug overdose. THerefore, patients with a Glascow Coma Scale score of more than six, and who are not intubated, may not need admission to an intensive care unit.

Prognostic score for kerosene oil poisoning.

Ninety five consecutive children with kerosene oil poisoning were studied, the first 70 retrospectively (internal group) and the rest 25, prospectively (external group) over a period of 3 years and 8 months. Based on clinical features and severity of illness in initial 70 cases, a weighted scoring system to determine the outcome was evolved. This included: (i) fever--absent 0, present 1; (ii) severe malnutrition--absent 0, present 1; (iii) respiratory distress--absent 0, present 2, with cyanosis 4; and (iv) neurological symptoms--absent 0, present 2, with convulsions 4. The scores ranged from 0 to 10 in the internal group. Using discriminate function analysis, a score of 4 or more was found to be associated with prolonged hospital stay and complications. The risk of dying increased if the score was equal to or more than 8. The predictive value of the score was 85.7%. For validation, this scoring was applied to the external group as well and 84% of cases could be correctly predicted.