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1.
Front Behav Neurosci ; 13: 52, 2019.
Artículo en Inglés | MEDLINE | ID: mdl-30941022

RESUMEN

Relationships between adult peers are central to the structure of social groups. In some species, selective preferences for specific peers provide a foundation for consistent group composition. These preferences may be shaped by affiliation toward familiar individuals, and/or by aversion to unfamiliar individuals. We compared peer interactions in two vole species that form selective preferences for familiar same-sex individuals but differ in mating system. Prairie voles (Microtus ochrogaster) form pair bonds with mates and may reside in family groups. Meadow voles (Microtus pennsylvanicus) are promiscuous breeders that form communal winter groups in the wild, and exhibit greater social behavior in short day (SD) lengths in the laboratory. We characterized affiliative, anxiety-like, and aggressive interactions with familiar and novel same-sex conspecifics in meadow and prairie voles housed in summer- or winter-like photoperiods. Species differences in affective behaviors were pronounced, with prairie voles exhibiting more aggressive behavior and less anxiety-like behavior relative to meadow voles. Meadow voles housed in short (vs. long) day lengths were more affiliative and more interactive with strangers; prosocial behavior was also facilitated by a history of social housing. Prairie voles exhibited partner preferences regardless of sex or day length, indicating that selective peer preferences are the norm in prairie voles. Prairie vole females formed preferences for new same-sex social partners following re-pairing; males were often aggressive upon re-pairing. These data suggest that preferences for familiar peers in prairie voles are maintained in part by aggression toward unfamiliar individuals, as in mate partnerships. In contrast, social tolerance is an important feature of meadow vole peer affiliation, demonstrated by low aggression toward unfamiliar conspecifics, and consistent with field data on winter tolerance.

2.
Pharmacoepidemiol Drug Saf ; 27(8): 839-847, 2018 08.
Artículo en Inglés | MEDLINE | ID: mdl-29947033

RESUMEN

PURPOSE: To describe the consistency in the frequency of 5 health outcomes across the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) and Tenth Revision, Clinical Modification (ICD-10-CM) eras in the US. METHODS: We examined the incidence of 3 acute conditions (acute myocardial infarction [AMI], angioedema, ischemic stroke) and the prevalence of 2 chronic conditions (diabetes, hypertension) during the final 5 years of the ICD-9-CM era (January 2010-September 2015) and the first 15 months of the ICD-10-CM era (October 2015-December 2016) in 13 electronic health care databases in the Sentinel System. For each health outcome reviewed during the ICD-10-CM era, we evaluated 4 definitions, including published algorithms derived from other countries, as well as simple-forward, simple-backward, and forward-backward mapping using the General Equivalence Mappings. For acute conditions, we also compared the incidence between April to December 2014 and April to December 2016. RESULTS: The analyses included data from approximately 172 million health plan members. While the incidence or prevalence of AMI and hypertension performed similarly across the 2 eras, the other 3 outcomes did not demonstrate consistent trends for some or all the ICD-10-CM definitions assessed. CONCLUSIONS: When using data from both the ICD-9-CM and ICD-10-CM eras, or when using results from ICD-10-CM data to compare to results from ICD-9-CM data, researchers should test multiple ICD-10-CM outcome definitions as part of sensitivity analysis. Ongoing assessment of the impact of ICD-10-CM transition on identification of health outcomes in US electronic health care databases should occur as more data accrue.


Asunto(s)
Sistemas de Registro de Reacción Adversa a Medicamentos/estadística & datos numéricos , Codificación Clínica/clasificación , Efectos Colaterales y Reacciones Adversas Relacionados con Medicamentos/epidemiología , Evaluación de Resultado en la Atención de Salud/métodos , Enfermedad Aguda/epidemiología , Angioedema/inducido químicamente , Angioedema/diagnóstico , Angioedema/epidemiología , Infarto Encefálico/inducido químicamente , Infarto Encefálico/diagnóstico , Infarto Encefálico/epidemiología , Enfermedad Crónica/epidemiología , Codificación Clínica/estadística & datos numéricos , Diabetes Mellitus/inducido químicamente , Diabetes Mellitus/diagnóstico , Diabetes Mellitus/epidemiología , Efectos Colaterales y Reacciones Adversas Relacionados con Medicamentos/diagnóstico , Efectos Colaterales y Reacciones Adversas Relacionados con Medicamentos/etiología , Humanos , Hipertensión/inducido químicamente , Hipertensión/diagnóstico , Hipertensión/epidemiología , Incidencia , Clasificación Internacional de Enfermedades , Infarto del Miocardio/inducido químicamente , Infarto del Miocardio/diagnóstico , Infarto del Miocardio/epidemiología , Evaluación de Resultado en la Atención de Salud/estadística & datos numéricos , Prevalencia , Accidente Cerebrovascular/inducido químicamente , Accidente Cerebrovascular/diagnóstico , Accidente Cerebrovascular/epidemiología , Estados Unidos/epidemiología
3.
Pharmacoepidemiol Drug Saf ; 27(8): 829-838, 2018 08.
Artículo en Inglés | MEDLINE | ID: mdl-29947045

RESUMEN

PURPOSE: To replicate the well-established association between angiotensin-converting enzyme inhibitors versus beta blockers and angioedema in the International Classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM) era. METHODS: We conducted a retrospective, inception cohort study in a large insurance database formatted to the Sentinel Common Data Model. We defined study periods spanning the ICD-9-CM era only, ICD-10-CM era only, and ICD-9-CM and ICD-10-CM era and conducted simple-forward mapping (SFM), simple-backward mapping (SBM), and forward-backward mapping (FBM) referencing the General Equivalence Mappings to translate the outcome (angioedema) and covariates from ICD-9-CM to ICD-10-CM. We performed propensity score (PS)-matched and PS-stratified Cox proportional hazards regression to estimate hazard ratios (HRs) and 95% confidence intervals (CIs). RESULTS: In the ICD-9-CM and ICD-10-CM eras spanning April 1 to September 30 of 2015 and 2016, there were 152 017 and 145 232 angiotensin-converting enzyme inhibitor initiators and 115 073 and 116 652 beta-blocker initiators, respectively. The PS-matched HR was 4.19 (95% CI, 2.82-6.23) in the ICD-9-CM era, 4.37 (2.92-6.52) in the ICD-10-CM era using SFM, and 4.64 (3.05-7.07) in the ICD-10-CM era using SBM and FBM. The PS-matched HRs from the mixed ICD-9-CM and ICD-10-CM eras ranged from 3.91 (2.69-5.68) to 4.35 (3.33-5.70). CONCLUSION: The adjusted HRs across different diagnostic coding eras and the use of SFM versus SBM and FBM produced numerically different but clinically similar results. Additional investigations as ICD-10-CM data accumulate are warranted.


Asunto(s)
Antagonistas Adrenérgicos beta/efectos adversos , Angioedema/epidemiología , Inhibidores de la Enzima Convertidora de Angiotensina/efectos adversos , Codificación Clínica/clasificación , Farmacoepidemiología/estadística & datos numéricos , Adulto , Anciano , Angioedema/inducido químicamente , Angioedema/diagnóstico , Codificación Clínica/estadística & datos numéricos , Bases de Datos Factuales , Femenino , Humanos , Clasificación Internacional de Enfermedades , Masculino , Persona de Mediana Edad , Farmacoepidemiología/métodos , Estudios Retrospectivos
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