Psychiatric Patients with a Serious Mental Illness and a Recent History of Violent Behavior: An Exploration of Developmental, Clinical, Cognitive, and Demographic Characteristics

2020 ◽  
Vol 16 (2) ◽  
pp. 110-118
Author(s):  
Jill Del Pozzo ◽  
Lindsay Cherneski ◽  
Saul J. Beck ◽  
Sarah R. Lowe ◽  
Steven M. Silverstein
Keyword(s):  
Logistic Regression ◽  
Psychotic Disorder ◽  
Psychotic Disorders ◽  
Violent Behavior ◽  
Binary Logistic Regression ◽  
Binary Logistic Regression Model ◽  
Classification Rate ◽  
Increased Risk ◽  
History Of ◽  
History Of Violence

Background: Epidemiologic studies have shown that persons suffering from psychotic disorders are at increased risk of violent behavior. Several factors have been shown to predict violent behavior among persons with psychosis. However, prior research is limited in that these factors have not been explored simultaneously within the same study. Methods: The current study, therefore, aimed to determine which demographic, clinical, cognitive, and developmental characteristics were associated with an increased likelihood of violence among patients diagnosed with a psychotic disorder and which combination of these best predicted a history of violence. Participants (n=53) completed measures of demographics, violence risk, psychotic and personality symptoms, trauma, psychopathy and cognitive functioning. Results: Bivariate relationships were conducted to compare the history of violent behavior between all variables. Additionally, a binary logistic regression was run predicting participants’ history of violence. Several demographic, cognitive, clinical, and developmental factors were associated with increased odds of having a history of violence. The overall correct classification rate for the model was 92.2%, with 87.5% of participants without a history of violence and 91.4% with a history of violence being correctly classified. The model included antisocial personality traits, poor behavioral controls, head injury, not accepting responsibility, lacking goals, prior supervision failures, and HCR-20 total score. Conclusion: The binary logistic regression model showed good accuracy in predicting a history of violence in persons with psychosis. These findings are consistent with prior research and can inform efforts at risk assessment and identification of treatment targets for people with a psychotic disorder who are at highest risk of violence.

scholarly journals Predictors of Suicide Behavior Relapse in Pediatric Population

2018 ◽  
Vol 21 ◽  
Author(s):  
Francisco Villar ◽  
Carmina Castellano-Tejedor ◽  
Mireia Verge ◽  
Bernardo Sánchez ◽  
Tomás Blasco-Blasco
Keyword(s):  
Family History ◽  
Personality Disorder ◽  
Suicide Attempt ◽  
Suicidal Behavior ◽  
Longitudinal Design ◽  
Pediatric Population ◽  
Binary Logistic Regression ◽  
Binary Logistic Regression Model ◽  
Increased Risk ◽  
History Of

AbstractIdentifying patients at increased risk of suicide remains a challenge today. It has been reported that 10% of patients committing a suicide attempt end up dying and that both the risk and the severity of clinical symptomatology increase with the number of attempts. Within the framework of selective and indicated prevention, it is essential to identify the group of patients with an increased risk of recurrence. The objective of this study is to identify factors predicting suicide attempt relapse to improve the decision making process in the therapeutic approach to suicidal behavior. The methodology employed was a longitudinal design aimed at identifying factors, in a binary logistic regression model (stepwise), predicting the repetition of suicidal behavior among a sample of 417 participants aged between 8 and 17 years old, at the six months follow-up. A statistically significant model χ2(3, N = 417) = 18.610; p < .001; Nagelkerke R2 = .096 including the following factors was obtained: current diagnosis of personality disorder/maladaptive personality OR = .806, p = .028, 95% CI [1.091, 4.595], personal history of self-injury OR = .728, p = .043, 95% CI [1.023, 4.192], and family history of psychopathological diagnosis OR = .925, p = .021, 95% CI [1.151, 5.530]. Considering these results, having a diagnosis of personality disorder or maladaptive personality traits, presence or history of self-harm and family history of psychopathology draws a predictive profile of autolytic attempt recurrence during the six months after the initial intervention at the emergency room.

scholarly journals M209. TO WHOM WE PRESCRIBE LONG ACTING ANTPSYCHOTICS AT DISCHARGE FROM HOSPITAL?

2020 ◽  
Vol 46 (Supplement_1) ◽  
pp. S216-S216
Author(s):  
Alp Ucok ◽  
Olcay Şenay ◽  
Zhala Mursalova ◽  
Shahriyar Gadimov
Keyword(s):  
Logistic Regression ◽  
Psychotic Disorder ◽  
Psychotic Disorders ◽  
Treatment Resistance ◽  
Involuntary Hospitalization ◽  
Older Inpatients ◽  
History Of ◽  
Long Acting ◽  
Abuse Treatment ◽  
Discharge From Hospital

Abstract Background Although the growing evidence show the advantages of long acting injectable (LAI)antipsychotics on treatment of psychotic disorders, characteristics of the patients with psychotic disorders using LAI is not studied enough. The aim of this retrospective study is to understand the clinical characteristics of the patients with psychotic disorders to whom any LAI was prescribed at discharge from hospital Methods We screened the files of 400 inpatients with psychosis spectrum disorders who were treated in inpatient units of Istanbul Faculty of Medicine, Department of Psychiatry between 01.01.2014-01.016.2019. We recorded the last admission if the patient had more than one hospitalization. We compared the variables including illness duration, diagnosis, presence of involuntary hospitalization, insight, substance/alcohol abuse, forensic problems between those who were prescribed LAI and others. We also applied logistic regression analysis to detect the independent predictors of LAI prescription. Results Thirty-nine percent of the patients were given LAI at discharge. Patients with schizophrenia and schizoaffective disorders were more common compared to psychotic disorder NOS/schizophreniform disorder in LAI group (p&lt;0.001). Those who prescribed LAI were older and had longer duration of psychotic disorder. Poor insight at admission, past and present noncompliance, involuntary admission (64,5% vs 35,5%, p=0.003) and history of forensi problems (63% vs 37%, p=0.01)were more common in LAI group. Past ECT treatment, antipsychotic polypharmacy and LAI treatment in past were more common in LAI group. Lack of insight at admission, history of LAI treatment before and noncompliance to medications before hospitalization were appeared as predictors of LAI prescription at discharge in logistic regression. We found no relationship between LAI prescription and drug abuse, treatment resistance and psychiatric comorbidity. Discussion Our findings suggest that LAIs were prescribed to chronic and older inpatients with lack of insight, and compliance at admission. The patients who were prescribed LAI also had indirect indicators of poor outcome, like previous ECT and polypharmacy. Contrary to previous reports, we found no difference in alcohol/substance abuse between those who were prescribed LAI and others.

scholarly journals Medical outcome of pregnancy in women with psychotic disorders and their infants in the first year after birth

2003 ◽  
Vol 182 (1) ◽  
pp. 63-67 ◽  
Author(s):  
Louise M. Howard ◽  
Claudia Goss ◽  
Morven Leese ◽  
Graham Thornicroft
Keyword(s):  
General Practice ◽  
Psychotic Disorder ◽  
Psychotic Disorders ◽  
General Practice Research Database ◽  
Practice Research ◽  
Obstetric Outcomes ◽  
Research Database ◽  
Increased Risk ◽  
Significant Difference ◽  
History Of

BackgroundThere has been little research into the health of infants of women with psychotic disorders.AimsTo investigate the antenatal care of mothers with a history of psychotic disorders, obstetric outcomes and the subsequent health of their babies.MethodA matched, controlled cohort study was carried out using the General Practice Research Database. Women with a history of a psychotic disorder, who gave birth in 1996–1998, were compared with women matched for age and general practice (199 cases and 787 controls) and their infants.ResultsCases had a higher proportion of stillbirths (OR=4.03, 95% CI 1.14–4.25, P=0.03) and neonatal deaths (P<0.001). There was no difference in gestational age at antenatal booking. Mothers with psychotic disorders were less likely than controls to attend for infant immunisations 90–270 days after birth (RR=0.94, 95% CI 0.88–0.99, P=0.03). There was no significant difference in the rates of accidents and hospital contacts for infants.ConclusionsThere is an increased risk of stillbirth and neonatal death in women with a history of psychotic disorder, and it is therefore important for health care professionals to focus on optimal obstetric care. The physical health of babies who live with mothers with psychotic disorders is not significantly different from that of matched baby controls.

scholarly journals Hip Stability May Influence the Development of Greater Trochanteric Pain Syndrome: A Case-Control Study of Consecutive Patients

2020 ◽  
Vol 8 (11) ◽  
pp. 232596712095869
Author(s):  
LCDR Ashton H. Goldman ◽  
ENS Vaughn Land ◽  
Matthew H. Adsit ◽  
CDR George C. Balazs
Keyword(s):  
Logistic Regression ◽  
Regression Model ◽  
Logistic Regression Model ◽  
Binary Logistic Regression ◽  
Pain Syndrome ◽  
Posterior Wall ◽  
Binary Logistic Regression Model ◽  
Greater Trochanteric Pain Syndrome ◽  
Increased Risk ◽  
Posterior Wall Sign

Background: Greater trochanteric pain syndrome (GTPS) is thought to relate primarily to tendinosis/tendinopathy of the hip abductors. Previous studies have suggested that certain anatomic factors may predispose one to development of the condition. Hypothesis: It was hypothesized that intrinsic acetabular bony stability of the hip is related to the development of GTPS. Study Design: Cross-sectional study; Level of evidence, 3. Methods: A total of 198 consecutive patients diagnosed with GTPS were compared with 198 consecutive patients without clinical evidence of GTPS. Electronic health records of the included patients were examined; data recorded included patient age, sex, race, and body mass index (BMI). Standing anteroposterior radiographs were evaluated by 2 blinded examiners who measured the Tönnis angle, lateral center-edge angle (LCEA), and acetabular depth/width ratio (ADW) and assessed for the presence of a posterior wall sign. The number of dysplastic measures was recorded for each patient based on published norms. Associations between radiographic and patient variables versus the presence or absence of GTPS were determined. Factors with univariate associations where P < .20 were included in a binary logistic regression model to identify independent predictors of the presence of GTPS. Results: There was no difference between groups in terms of age, BMI, or race. There were significantly more women than men in the GTPS group (71% vs 30%; P < .001). Intraclass correlation coefficients were good for the LCEA (0.82) and Tönnis angle (0.82) and poor (0.08) for the ADW. Kappa was moderate for the presence of a posterior wall sign (0.51). An increased Tönnis angle, decreased ADW, and ADW <0.25 were significantly associated with the presence of GTPS. The binary logistic regression model identified an increased Tönnis angle ( P < .010) and female sex ( P < .001) as independent risk factors for GTPS. Conclusion: Based on this preliminary retrospective study, decreased intrinsic acetabular bony stability of the hip may be associated with an increased risk of GTPS.

scholarly journals Sexual minority status, social adversity and risk for psychotic disorders-results from the GROUP study

2019 ◽  
pp. 1-7 ◽  
Author(s):  
D. Post ◽  
W. Veling ◽  
Keyword(s):  
Sexual Orientation ◽  
Sexual Identity ◽  
Psychotic Disorder ◽  
Sexual Minority ◽  
Psychotic Disorders ◽  
Mental Health Problems ◽  
Binary Logistic Regression ◽  
Minority Status ◽  
Increased Risk ◽  
And Gender

Abstract Background Lesbian, bisexual, or gay individuals (LBGs) have an increased risk for mental health problems compared to heterosexuals, but this association has sparsely been investigated for psychotic disorders. The aim of this study was: (1) to examine whether LBG sexual orientation is more prevalent in individuals with a non-affective psychotic disorder (NAPD) than in people without a psychotic disorder; and if so, (2) to explore possible mediating pathways. Methods Sexual orientation was assessed in the 6-year follow-up assessment of the Dutch Genetic Risk and Outcome of Psychosis study (GROUP), a case–control study with 1547 participants (582 patients with psychotic disorder, 604 siblings, and 361 controls). Binary logistic regression analyses were used to calculate the risk of patients with a psychotic disorder being LBG, compared to siblings and controls. Perceived discrimination, history of bullying, childhood trauma (CT), and sexual identity disclosure were investigated as potential mediating variables. Results The proportion of individuals with LBG orientation was 6.8% in patients (n = 40), 4.3% in siblings (n = 26), and 2.5% in controls (n = 10). The age- and gender-adjusted odds ratio of LBG for patients was 1.57 (95% CI 1.08–2.27; p = 0.019), compared to siblings and controls. Discrimination, bullying, and CT all partially mediated this association. Conclusions Adverse social experiences related to sexual minority status may increase the risk for NAPD. Sexual identity, behavior, and difficulties need more attention in everyday clinical practice.

Outcomes in Head and Neck Free Flap Reconstruction Among Patients With a History of Venous Thromboembolism

2021 ◽  
pp. 019459982110119
Author(s):  
Meghan M. Crippen ◽  
Rohan S. Ganti ◽  
Vivian Xu ◽  
Brian Swendseid ◽  
Diana L. Tzeng ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Venous Thromboembolism ◽  
Head And Neck ◽  
Free Flap ◽  
Tertiary Care ◽  
Binary Logistic Regression ◽  
Flap Reconstruction ◽  
Free Flap Reconstruction ◽  
Increased Risk ◽  
History Of

Objective To investigate if a history of venous thromboembolism (VTE) is a risk factor for complications in head and neck free flap surgery by assessing outcomes among patients with a history of deep vein thrombosis (DVT) and/or pulmonary embolism (PE). Study Design Retrospective cohort study. Setting Single tertiary care center. Methods All patients undergoing head and neck free flap reconstruction at our institution between September 1, 2006, and April 2, 2020, were assessed for inclusion. Patients with and without a history of DVT or PE preoperatively were identified and grouped for comparison. Groups were compared for demographics, comorbidities, and 30-day complications. Significance was assessed with chi-square and binary logistic regression analyses. Results Of the 1061 patients meeting inclusion criteria, 40 (3.8%) had a history of VTE. These patients were significantly older (mean [SD], years: 67.8 [11.7] vs 63.0 [14.1], P = .038) and significantly more likely to have history of chemotherapy (35.0% vs 18.7%, P = .010) and stroke (27.5% vs 4.5%, P < .001). After accounting for patient characteristics via binary logistic regression, VTE was independently associated with an increased risk for postoperative thrombosis of the free flap pedicle (odds ratio [95% CI] = 3.65 [1.12-11.90], P = .032) and reoperation (2.45 [1.25-4.80], P = .009). Patients with history of PE had a significantly increased risk for flap failure (7.70 [1.77-33.52], P = .007). Prior VTE was not independently associated with an increased risk for medical complications or readmission. Conclusion Patients with a history of VTE may be at an increased risk for free flap compromise secondary to postoperative pedicle thrombosis. This risk should be considered in preoperative workup and postoperative monitoring.

scholarly journals Least Likely Observations in Regression Models for Categorical Outcomes

2002 ◽  
Vol 2 (3) ◽  
pp. 296-300 ◽  
Author(s):  
Jeremy Freese
Keyword(s):  
Logistic Regression ◽  
Regression Models ◽  
Binary Logistic Regression ◽  
Positive Outcome ◽  
Ordinary Least Squares ◽  
Parameter Estimates ◽  
Least Squares Regression ◽  
Binary Logistic Regression Model ◽  
Ordered Logistic Regression ◽  
Negative Outcome

This article presents a method and program for identifying poorly fitting observations for maximum-likelihood regression models for categorical dependent variables. After estimating a model, the program leastlikely will list the observations that have the lowest predicted probabilities of observing the value of the outcome category that was actually observed. For example, when run after estimating a binary logistic regression model, leastlikely will list the observations with a positive outcome that had the lowest predicted probabilities of a positive outcome and the observations with a negative outcome that had the lowest predicted probabilities of a negative outcome. These can be considered the observations in which the outcome is most surprising given the values of the independent variables and the parameter estimates and, like observations with large residuals in ordinary least squares regression, may warrant individual inspection. Use of the program is illustrated with examples using binary and ordered logistic regression.

scholarly journals Assessment of pain and postoperative nausea and vomiting and their association in the early postoperative period: an observational study from Palestine

BMC Surgery ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Reem M. Elsaid ◽  
Ashraqat S. Namrouti ◽  
Ahmad M. Samara ◽  
Wael Sadaqa ◽  
Sa’ed H. Zyoud
Keyword(s):  
Logistic Regression ◽  
Observational Study ◽  
Postoperative Nausea ◽  
Postoperative Nausea And Vomiting ◽  
Binary Logistic Regression ◽  
Nausea And Vomiting ◽  
Prior History ◽  
Factors Associated ◽  
Duration Of Surgery ◽  
History Of

Abstract Background Postoperative nausea and vomiting (PONV) and postoperative pain (POP) are most commonly experienced in the early hours after surgery. Many studies have reported high rates of PONV and POP, and have identified factors that could predict the development of these complications. This study aimed to evaluate the relationship between PONV and POP, and to identify some factors associated with these symptoms. Methods This was a prospective, multicentre, observational study performed at An-Najah National University Hospital and Rafidia Governmental Hospital, the major surgical hospitals in northern Palestine, from October 2019 to February 2020. A data collection form, adapted from multiple previous studies, was used to evaluate factors associated with PONV and POP in patients undergoing elective surgery. Patients were interviewed during the first 24 h following surgery. Multiple binary logistic regression was applied to determine factors that were significantly associated with the occurrence of PONV. Results Of the 211 patients included, nausea occurred in 43.1%, vomiting in 17.5%, and PONV in 45.5%. Multiple binary logistic regression analysis, using PONV as a dependent variable, showed that only patients with a history of PONV [odds ratio (OR) = 2.28; 95% confidence interval (CI) = 1.03–5.01; p = 0.041] and POP (OR = 2.41; 95% CI = 1.17–4.97; p = 0.018) were significantly associated with the occurrence of PONV. Most participants (74.4%) reported experiencing pain at some point during the first 24 h following surgery. Additionally, the type and duration of surgery were significantly associated with POP (p-values were 0.002 and 0.006, respectively). Conclusions PONV and POP are common complications in our surgical patients. Factors associated with PONV include a prior history of PONV and POP. Patients at risk should be identified, the proper formulation of PONV protocols should be considered, and appropriate management plans should be implemented to improve patients’ outcomes.

Sign in / Sign up

Export Citation Format

Share Document