scholarly journals A Step Towards a Better Understanding of Pain Phenotypes: Latent Class Analysis in Chronic Pain Patients Receiving Multimodal Inpatient Treatment

2020 ◽  
Vol Volume 13 ◽  
pp. 1023-1038
Author(s):  
Alexander Obbarius ◽  
Felix Fischer ◽  
Gregor Liegl ◽  
Nina Obbarius ◽  
Jan van Bebber ◽  
...  
2017 ◽  
Vol 18 (1) ◽  
Author(s):  
Anne Molgaard Nielsen ◽  
Lise Hestbaek ◽  
Werner Vach ◽  
Peter Kent ◽  
Alice Kongsted

2017 ◽  
Vol 40 (10) ◽  
pp. 1452-1468 ◽  
Author(s):  
Chen X. Chen ◽  
Susan Ofner ◽  
Giorgos Bakoyannis ◽  
Kristine L. Kwekkeboom ◽  
Janet S. Carpenter

Dysmenorrhea is highly prevalent and may increase women’s risk for developing other chronic pain conditions. Although it is highly variable, symptom-based dysmenorrhea phenotypes have not been identified. The aims of the study were to identify symptom-based dysmenorrhea phenotypes and examine their relationships with demographic and clinical characteristics. In a cross-sectional study, 762 women with dysmenorrhea rated severity of 14 dysmenorrhea-related symptoms. Using latent class analysis, we identified three distinctive phenotypes. Women in the “mild localized pain” phenotype ( n = 202, 26.51%) had mild abdominal cramps and dull abdominal pain/discomfort. Women in the “severe localized pain” phenotype ( n = 412, 54.07%) had severe abdominal cramps. Women in the “multiple severe symptoms” phenotype ( n = 148, 19.42%) had severe pain at multiple locations and multiple gastrointestinal symptoms. Race, ethnicity, age, and comorbid chronic pain conditions were significantly associated with phenotypes. Identification of these symptom-based phenotypes provides a foundation for research examining genotype–phenotype associations, etiologic mechanisms, and/or variability in treatment responses.


Pain ◽  
2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Andrea K. Newman ◽  
Beverly E. Thorn

2021 ◽  
Vol 12 ◽  
Author(s):  
Steffen Lau ◽  
Johannes Kirchebner ◽  
Sabine Kling ◽  
Sebastian Euler ◽  
Moritz Philipp Günther

Background: Extant research has provided evidence for disparities between patients with schizophrenia spectrum disorder (SSD) who have and have not experienced childhood maltreatment (CM) in terms of treatment outcome, psychopathology and their propensity to engage in offending behavior. However, research addressing all phenomena is scarce.Objective: The current study aims to explore differences between offender patients with SSD and CM and those with SSD and no CM in terms of their offending, psychopathology at different points in time and treatment outcome.Method: In the present explorative study, latent class analysis was used to analyze differences between 197 offender patients with SSD and CM and 173 offender patients with SSD and no CM, who were admitted to forensic psychiatric inpatient treatment between 1982 and 2016 in Switzerland.Results: Three distinct homogenous classes of patients were identified, two of which were probable to have experienced significant CM. One third of patients with SSD and CM were probable to benefit from inpatient treatment, even surpassing results observable in the group without CM, whereas the other group with SSD and CM was probable to benefit less. Patients with SSD and no CM displayed more psychopathology at first diagnosis and prior to their index offense. Interclass differences in offending behavior were minimal.Conclusions: Offender patients with SSD and CM differ not only from offender patients with SSD and no CM, but also amongst themselves. While some with SSD and CM experience a remission in psychopathology and improve their prognosis for future offending behavior, others do not. Directions for future research on SSD and CM are discussed.


2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Moritz Philipp Günther ◽  
Steffen Lau ◽  
Sabine Kling ◽  
Martina Sonnweber ◽  
Elmar Habermeyer ◽  
...  

Abstract Background There is limited research with inconsistent findings on differences between female and male offender patients with a schizophrenia spectrum disorder (SSD), who behave aggressively towards others. This study aimed to analyse inhomogeneities in the dataset and to explore, if gender can account for those. Methods Latent class analysis was used to analyse a mixed forensic dataset consisting of 31 female and 329 male offender patients with SSD, who were accused or convicted of a criminal offence and were admitted to forensic psychiatric inpatient treatment between 1982 and 2016 in Switzerland. Results Two homogenous subgroups were identified among SSD symptoms and offence characteristics in forensic SSD patients that can be attributed to gender. Despite an overall less severe criminal and medical history, the female-dominated class was more likely to receive longer prison terms, similarly high antipsychotic dosages, and was less likely to benefit from inpatient treatment. Earlier findings were confirmed and extended in terms of socio-demographic variables, diseases and criminal history, comorbidities (including substance use), the types of offences committed in the past and as index offence, accountability assumed in court, punishment adjudicated, antipsychotic treatment received, and the development of symptoms during psychiatric inpatient treatment. Conclusions Female offender patients with schizophrenia might need a more tailored approach in prevention, assessment and treatment to diminish tendencies of inequity shown in this study.


Author(s):  
Deepika E. Slawek ◽  
Madiha Syed ◽  
Chinazo O. Cunningham ◽  
Chenshu Zhang ◽  
Jonathan Ross ◽  
...  

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