Risk of falls and fractures in older adults using atypical antipsychotic agents: a propensity score-adjusted, retrospective cohort study

Effectiveness of an Emergency Department-Based Machine Learning Clinical Decision Support Tool to Prevent Outpatient Falls Among Older Adults: Protocol for a Quasi-Experimental Study

BACKGROUND

Emergency department (ED) providers are important collaborators in preventing falls for older adults because they are often the first health care providers to see a patient after a fall and because at-home falls are often preceded by previous ED visits. Previous work has shown that ED referrals to falls interventions can reduce the risk of an at-home fall by 38%. Screening patients at risk for a fall can be time-consuming and difficult to implement in the ED setting. Machine learning (ML) and clinical decision support (CDS) offer the potential of automating the screening process. However, it remains unclear whether automation of screening and referrals can reduce the risk of future falls among older patients.

OBJECTIVE

The goal of this paper is to describe a research protocol for evaluating the effectiveness of an automated screening and referral intervention. These findings will inform ongoing discussions about the use of ML and artificial intelligence to augment medical decision-making.

METHODS

To assess the effectiveness of our program for patients receiving the falls risk intervention, our primary analysis will be to obtain referral completion rates at 3 different EDs. We will use a quasi-experimental design known as a sharp regression discontinuity with regard to intent-to-treat, since the intervention is administered to patients whose risk score falls above a threshold. A conditional logistic regression model will be built to describe 6-month fall risk at each site as a function of the intervention, patient demographics, and risk score. The odds ratio of a return visit for a fall and the 95% CI will be estimated by comparing those identified as high risk by the ML-based CDS (ML-CDS) and those who were not but had a similar risk profile.

RESULTS

The ML-CDS tool under study has been implemented at 2 of the 3 EDs in our study. As of April 2023, a total of 1326 patient encounters have been flagged for providers, and 339 unique patients have been referred to the mobility and falls clinic. To date, 15% (45/339) of patients have scheduled an appointment with the clinic.

CONCLUSIONS

This study seeks to quantify the impact of an ML-CDS intervention on patient behavior and outcomes. Our end-to-end data set allows for a more meaningful analysis of patient outcomes than other studies focused on interim outcomes, and our multisite implementation plan will demonstrate applicability to a broad population and the possibility to adapt the intervention to other EDs and achieve similar results. Our statistical methodology, regression discontinuity design, allows for causal inference from observational data and a staggered implementation strategy allows for the identification of secular trends that could affect causal associations and allow mitigation as necessary.

TRIAL REGISTRATION

ClinicalTrials.gov NCT05810064; https://www.clinicaltrials.gov/study/NCT05810064.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/48128.

New Onset Diabetes in an Older Patient: An Unforeseen Phenomenon

In this case, an 86-year-old man with a history of recurrent urinary tract infections (UTIs) is brought to the emergency room with altered mental status (AMS) and frequent falls. According to the patient's son, the patient had a significant decline and became more dependent in both his regular and instrumental activities of daily living. Upon admission, the patient was found to be in a hyperosmolar hyperglycemic state and eventually diagnosed with diabetes. A review of the patient’s medications indicated that polypharmacy may be a contributing factor to his current mental status changes and falls. In addition, this case reviews the diagnosis of diabetes in an 86-year-old while reviewing the impact of polypharmacy in an older patient.

Effect of nationwide concurrent drug utilization review program on drug-drug interactions and related health outcome

BACKGROUND

A computerized drug utilization review (DUR) program has provided physicians and pharmacists with alerts on drug-drug interactions (DDIs), drug-age precautions and therapeutic duplication in Korea since 2010.

OBJECTIVE

The purpose of this study was to evaluate the impact of the DUR program on health outcomes associated with DDIs.

METHODS

An uncontrolled before-after study was performed to investigate the impact of the nationwide DUR program on DDIs and related health outcomes. The study population consisted of people who used two types of DDI pairs before DUR implementation (from January 2009 to December 2010) and post-DUR implementation (from January 2012 to December 2013); (i) benzodiazepines with concurrent use of metabolic enzyme inhibitors and (ii) QTc (heart-rate corrected QT interval) prolongation agents. The main outcome measures were all-cause and cause-specific hospitalization admissions or emergency department (ED) visits.

RESULTS

This study included 107 874 people who used benzodiazepines with enzyme inhibitors and 8489 who received co-medication of QTc prolongation agents. For patients receiving a combination of benzodiazepines and enzyme inhibitors, both all-cause hospitalization and cause-specific hospitalization decreased after DUR implementation, from 43.2% to 41.7% and from 4.6% to 4.5% (adjusted odds ratio [OR] = 0.96; 95% confidence interval (CI), 0.93-0.98; OR = 0.89, 95% CI = 0.84-0.99, respectively). For patients receiving co-medication of QTc prolongation agents, all-cause hospitalization (54.2%) was lower than before (54.9%) (OR = 0.87, 95% CI = 0.79-0.96), but no significant change was found for cause-specific hospitalization and ED visits.

CONCLUSION

Implementation of a DUR program may reduce the adverse health outcomes posed by DDIs in patients on combination of benzodiazepines and enzyme inhibitors potentially QTc-prolongation agents.

Association between Anti-Psychotic Drugs Use and Hip Fractures in Patients with Dementia: A Nationwide Population-Based Study

Background: People with dementia are a high-risk group for hip fractures. Although the increased risk of hip fractures associated with antipsychotic drugs (APD) is found in older populations, little is known about the risk for people with dementia living in Asia. We aimed to investigate the association between hip fractures and the characteristics of APD use in patients with dementia. Methods: A nested case-control analysis was conducted on a nationwide cohort in Taiwan. People with diagnoses of dementia during 2003–2012 were identified. Conditional logistic regression analysis was performed, and adjusted odds ratios (aORs) were calculated with a 95% confidence interval (CI) to estimate the risk of hip fractures. Results: APD use was associated with an increased risk of hip fractures in patients with dementia; current use or combined use of first and second generations of APDs had even higher risks. Regarding the duration of APD use, a U-shape curve of hip fracture risk was noted, and the risk peaked during 0–15 days and >215 days of exposure (aOR = 1.46, 95% CI 1.37–1.57; aOR = 1.47, 95% CI 1.37–1.58; respectively). Considering the doses of APDs, the hip fracture risk was significantly increased with all four levels of the cumulative doses and average daily doses and peaked in the group with the highest average daily dose. Conclusions: The findings suggest that caution must be taken when initiating APD use in patients with dementia, even in a small dose, and mixed types of APD prescriptions should be administered with care. Furthermore, frequent evaluation of the possibility of tapering or withdrawal of the medication is necessary, as the risk does not attenuate after long-term use.

Comparative risk of adverse outcomes associated with nonselective and selective antimuscarinic medications in older adults with dementia and overactive bladder

OBJECTIVE

The differential muscarinic receptor selectivity could cause selective antimuscarinics to offer advantages over nonselective agents with respect to adverse effects. The objective was to examine the comparative risk of falls/fractures and all-cause hospitalizations among older adults with dementia and overactive bladder (OAB) using nonselective and selective antimuscarinics METHODS/DESIGN: A retrospective cohort study design was conducted among older patients with dementia and OAB using incident antimuscarinics. The primary exposure was classified as nonselective (oxybutynin, tolterodine, trospium, and fesoterodine) and selective (solifenacin and darifenacin). Cox proportional-hazards regression using inverse probability of treatment weighting (IPTW) evaluated the risk of falls/fractures and all-cause hospitalizations within 6 months of nonselective and selective antimuscarinic use.

RESULTS

The study cohort consisted of 13,896 (76.9%) nonselective and 4,179 (23.1%) selective antimuscarinic incident users. The unadjusted falls/fractures rate was 27.14% (3,772) for nonselective and 24.55% (1,026) for selective users (p-value< 0.01). The unadjusted all-cause hospitalizations rate was 24.14% (3,354) for nonselective and 21.58% (902) for selective users (p-value <0.01). The IPTW models did not find a significant difference in the risk of falls/fractures (Hazard Ratio [HR] 1.03; 95% Confidence Interval [CI] 0.99-1.07) and risk of all-cause hospitalizations (HR 1.04; 95% CI 0.99-1.08) between nonselective and selective antimuscarinics. Several sensitivity analyses corroborated the main findings.

CONCLUSIONS

The study did not find a differential risk of falls/fractures and all-cause hospitalizations in older adults with dementia and OAB using nonselective and selective antimuscarinics. More research is needed to understand the role of pharmacodynamics and pharmacokinetics in the safety profile of antimuscarinics in dementia.

Risk of In-Hospital Falls among Medications Commonly Used for Insomnia in Hospitalized Patients

STUDY OBJECTIVES

To investigate the risk of in-hospital falls among patients receiving medications commonly used for insomnia in the hospital setting.

METHODS

Retrospective cohort study of all adult hospitalizations to a large academic medical center from 1/2007 to 7/2013. We excluded patients admitted for a primary psychiatric disorder. Medication exposures of interest, defined by pharmacy charges, included benzodiazepines, non-benzodiazepine benzodiazepine receptor agonists (BZRAs), trazodone, atypical antipsychotics, and diphenhydramine. In-hospital falls were ascertained from an online patient safety reporting system.

RESULTS

Among the 225,498 hospitalizations (median age = 57 years; 57.9% female) in our cohort, 84,911 (37.7%) had exposure to at least one of the five medication classes of interest; benzodiazepines were the most commonly used (23.5%), followed by diphenydramine (8.3%), trazodone (6.6%), BZRAs (6.4%), and atypical antipsychotics (6.3%). A fall occurred in 2,427 hospitalizations (1.1%). The rate of falls per 1,000 hospital days was greater among hospitalizations with exposure to each of the medications of interest, compared to unexposed: 3.6 versus 1.7 for benzodiazepines (adjusted hazard ratio [aHR] 1.8, 95%CI 1.6-1.9); 5.4 versus 1.8 for atypical antipsychotics (aHR 1.6, 95%CI 1.4-1.8); 3.0 versus 2.0 for BZRAs (aHR 1.5, 95%CI 1.3-1.8); 3.3 versus 2.0 for trazodone (aHR 1.2, 95%CI 1.1-1.5); and 2.5 versus 2.0 for diphenhydramine (aHR 1.2, 95%CI 1.03-1.5).

CONCLUSIONS

In this large cohort of hospitalizations at an academic medical center, we found an association between each of the sedating medications examined and in-hospital falls. Benzodiazepines, BZRAs, and atypical antipsychotics had the strongest associations.

Training and Interpreting Machine Learning Algorithms to Evaluate Fall Risk After Emergency Department Visits

BACKGROUND

Machine learning is increasingly used for risk stratification in health care. Achieving accurate predictive models do not improve outcomes if they cannot be translated into efficacious intervention. Here we examine the potential utility of automated risk stratification and referral intervention to screen older adults for fall risk after emergency department (ED) visits.

OBJECTIVE

This study evaluated several machine learning methodologies for the creation of a risk stratification algorithm using electronic health record data and estimated the effects of a resultant intervention based on algorithm performance in test data.

METHODS

Data available at the time of ED discharge were retrospectively collected and separated into training and test datasets. Algorithms were developed to predict the outcome of a return visit for fall within 6 months of an ED index visit. Models included random forests, AdaBoost, and regression-based methods. We evaluated models both by the area under the receiver operating characteristic (ROC) curve, also referred to as area under the curve (AUC), and by projected clinical impact, estimating number needed to treat (NNT) and referrals per week for a fall risk intervention.

RESULTS

The random forest model achieved an AUC of 0.78, with slightly lower performance in regression-based models. Algorithms with similar performance, when evaluated by AUC, differed when placed into a clinical context with the defined task of estimated NNT in a real-world scenario.

CONCLUSION

The ability to translate the results of our analysis to the potential tradeoff between referral numbers and NNT offers decisionmakers the ability to envision the effects of a proposed intervention before implementation.

Geriatric Polypharmacy: Pharmacist as Key Facilitator in Assessing for Falls Risk: 2019 Update

This article highlights the significant health impact of falls among older adults. An emphasis is placed on the vital role of the pharmacist, regardless of practice setting, in assessing and reducing falls risk for this growing population. In addition, the importance of a stepwise comprehensive approach to falls assessment by pharmacists in collaboration with other clinicians is elucidated.

An Analysis of the Inclusion of Medications Considered Potentially Inappropriate in Older Adults in Chemotherapy Templates for Hematologic Malignancies: One Recommendation for All?

BACKGROUND

There remains a paucity of data regarding the use of potentially inappropriate medications (PIMs) in the supportive management of older adults undergoing chemotherapy. Raising awareness among healthcare providers regarding the frequency of their use and potential toxicities may help to minimize the risks to patients.

OBJECTIVE

The aim of this study was to evaluate the frequency of six specific classes of medications considered PIMs by the American Geriatrics Society Beers Criteria that are commonly included in the National Comprehensive Cancer Network (NCCN) chemotherapy order templates for hematologic malignancies. The six PIMs evaluated are first-generation antihistamines, benzodiazepines, corticosteroids, H₂-receptor antagonists, metoclopramide, and antipsychotics.

METHODS

A total of 311 unique chemotherapy order templates published online by the NCCN for the treatment of hematologic malignancies were reviewed to determine the frequency that these six specific PIMs were recommended for supportive care.

RESULTS

Approximately 45% of the NCCN chemotherapy templates for hematologic malignancies specifically recommended the use of at least one of the six PIMs examined. The remainder of the templates evaluated referred exclusively to the NCCN Guidelines^® on Oncology for Antiemesis, which also included the use of at least one of the six PIMs evaluated.

CONCLUSIONS

These findings demonstrate that PIMs are frequently used as supportive therapy in the treatment of hematologic malignancies. Increasing healthcare provider awareness of their potential side effects may minimize the risks associated with their use in older adults with hematologic malignancies undergoing chemotherapy.

Factors associated with the risk of fall in adults in the postoperative period: a cross-sectional study

Objective:

to assess the factors associated with the risk of fall in patients undergoing surgical procedures.

Method:

quantitative and cross-sectional study carried out with 257 adult patients in a hospital in the state of Minas Gerais, Brazil. Data were collected using the sociodemographic and clinical questionnaire, the Morse Fall Scale, and the Quality of Recovery Score. Data were submitted to descriptive statistical analysis and multinomial logistic regression. The level of significance was set at 0.05.

Results:

35.4% of patients had high risk of falls, 38.9% had moderate risk and 25.7% had low risk. The mean value in the surgical recovery scale was 175.37 points and no patient presented poor surgical recovery. Regarding the results of the bivariate analysis, it was found that age (p<0.001), SAH (p<0.001) and diabetes (p=0.017) were positively associated with high risk of fall, whereas cancer (p=0.004) was positively associated with moderate risk of fall. Surgical recovery (p=0,008) was inversely associated with high risk of fall.

Conclusion:

the results of this study allowed the identification of five factors associated with the risk of fall in adults in the postoperative hospital stay. These findings may support the planning of nursing actions aimed at preventing the risk of fall in the postoperative period.

Increased Post-procedural Non-gastrointestinal Adverse Events After Outpatient Colonoscopy in High-risk Patients

BACKGROUND & AIMS

The incidence and predictors of non-gastrointestinal (GI) adverse events (AEs) after colonoscopy are not well-understood. We studied the effects of antithrombotic agents, cardiopulmonary comorbidities, and age on risk of non-GI AEs after colonoscopy.

METHODS

We performed a retrospective longitudinal analysis to assess the diagnosis, procedure, and prescription drug codes in a United States commercial claims database (March 2010-March 2012). Data from patients at increased risk (n = 82,025; defined as patients with pulmonary comorbidities or cardiovascular disease requiring antithrombotic medications) were compared with data from 398,663 average-risk patients. In a 1:1 matched analysis, 51,932 patients at increased risk, examined by colonoscopy, were compared with 51,932 matched (on the basis of age, sex, and comorbidities) patients at increased risk who did not undergo colonoscopy. We tracked cardiac, pulmonary, and neurovascular events 1-30 days after colonoscopy.

RESULTS

Thirty days after outpatient colonoscopy, non-GI AEs were significantly higher in patients taking antithrombotic medications (7.3%; odds ratio [OR], 10.75; 95% confidence interval, 10.13-11.42) or those with pulmonary comorbidities (1.8%; OR, 2.44; 95% confidence interval, 2.27-2.62) vs average-risk patients (0.7%) and in patients 60-69 years old (OR, 2.21; 95% confidence interval, 2.01-2.42) or 70 years or older (OR, 6.45; 95% confidence interval, 5.89-7.06), compared with patients younger than 50 years. The 30-day incidence of non-GI AEs in patients at increased risk who underwent colonoscopy was also significantly higher than in matched patients at increased risk who did not undergo colonoscopy in the anticoagulant group (OR, 2.31; 95% confidence interval, 2.01-2.65) and in the chronic obstructive pulmonary disease group (OR, 1.33; 95% confidence interval, 1.13-1.56).

CONCLUSIONS

Increased number of comorbidities and older age (older than 60 years) are associated with increased risk of non-GI AEs after colonoscopy. These findings indicate the importance of determining comorbid risk and evaluating antithrombotic management before colonoscopy.

Psychotropic Drug-Related Fall Incidents in Nursing Home Residents Living in the Eastern Part of The Netherlands

BACKGROUND

Older people are more susceptible to falls than younger people. Therefore, as the Dutch population ages, the total number of falls and costs associated with them will rise. The use of psychotropic drugs is associated with an increased risk of falling. To create tailored fall-prevention programmes, information on the magnitude of the association between fall incidents and specific psychotropic drugs or drug classes is needed.

OBJECTIVE

The goal of this study was to delineate the associations between fall incidents and specific psychotropic drugs or drug classes.

METHODS

In this retrospective cohort study, electronic patient records, medication records and fall incident reports were collected for 1415 residents receiving somatic or psychogeriatric care in 22 nursing homes in the eastern part of the Netherlands from May 2012 until March 2015. Using a Cox proportional hazards model, we analysed the magnitude of the association between psychotropic drugs and the risk of falling for users and non-users of the psychotropic drugs or drug classes.

RESULTS

Antipsychotics (adjusted hazard ratio [aHR] 1.49; 95% confidence interval [CI] 1.12-2.00) and hypnotics and sedatives (aHR 1.51; 95% CI 1.13-2.02) increase the risk of falling. There was no difference between the risk incurred by typical and atypical antipsychotics. However, within these groups, there were differences between the most commonly prescribed drugs: haloperidol and quetiapine were seen to have an association with falls, whereas pipamperone and risperidone were not.

CONCLUSIONS

The results suggest falls may be associated with individual drugs rather than drug classes. Within the drug classes, clear differences are evident between individual drugs. Future fall-prevention programmes should highlight the differential risks involved with the use of specific psychotropic drugs, and doctors should take the fall risk into account when choosing specific drugs.

Geriatric Polypharmacy: Pharmacist as Key Facilitator in Assessing for Falls Risk

This article highlights the significant health impact of falls among older adults. An emphasis is placed on the vital role of the pharmacist, regardless of practice setting, in assessing and reducing falls risk for this growing population. In addition, the importance of a stepwise comprehensive approach to falls assessment by pharmacists in collaboration with other clinicians is elucidated.

Use of antipsychotics increases the risk of fracture: a systematic review and meta-analysis

Our systematic review and meta-analysis of observational studies indicated that the use of antipsychotics was associated with a nearly 1.5-fold increase in the risk of fracture. First-generation antipsychotics (FGAs) appeared to carry a higher risk of fracture than second-generation antipsychotics (SGAs).

INTRODUCTION

The risk of fractures associated with the use of antipsychotic medications has inconsistent evidence between different drug classes. A systematic review and meta-analysis was conducted to evaluate whether there is an association between the use of antipsychotic drugs and fractures.

METHODS

Searches were conducted through the PubMed and EMBASE databases to identify observational studies that had reported a quantitative estimate of the association between use of antipsychotics and fractures. The summary risk was derived from random effects meta-analysis.

RESULTS

The search yielded 19 observational studies (n = 544,811 participants) with 80,835 fracture cases. Compared with nonuse, use of FGAs was associated with a significantly higher risk for hip fractures (OR 1.67, 95% CI, 1.45-1.93), and use of second generation antipsychotics (SGAs) was associated with an attenuated but still significant risk for hip fractures (OR 1.33, 95% CI, 1.11-1.58). The risk of fractures associated with individual classes of antipsychotic users was heterogeneous, and odds ratios ranged from 1.24 to 2.01. Chlorpromazine was associated with the highest risk (OR 2.01, 95% CI 1.43-2.83), while Risperidone was associated with the lowest risk of fracture (OR 1.24, 95% CI 0.95-1.83).

CONCLUSIONS

FGA users were at a higher risk of hip fracture than SGA users. Both FGAs and SGAs were associated with an increased risk of fractures, especially among the older population. Therefore, the benefit of the off-label use of antipsychotics in elderly patients should be weighed against any risks for fracture.

Comparative risk of hip fractures in elderly nursing home patients with depression using paroxetine and other selective serotonin reuptake inhibitors

AIM

To evaluate comparative safety of paroxetine and other selective serotonin reuptake inhibitors (SSRIs) for the risk of hip fractures.

PATIENTS & METHODS

A propensity score-matched retrospective cohort study was conducted using 2007-2010 Minimum Data Set linked Medicare data. Robust Cox proportional hazards model was used to evaluate the risk of hip fractures in depressed elderly nursing home residents.

RESULTS

Cox analysis did not find any significant difference in the risk of hip fractures for the paroxetine users (hazard ratio: 1.09; 95% CI: 0.91-1.32) when compared with other SSRIs. Results from the sensitivity analysis supported the main findings.

CONCLUSION

There was no differential risk of hip fractures between paroxetine and other SSRIs. Future studies are needed to evaluate other anticholinergic effects of paroxetine.

Improved patient survivals with colorectal cancer under multidisciplinary team care: A nationwide cohort study of 25,766 patients in Taiwan

OBJECTIVES

The evidence of improved survival in patients of colorectal cancer (CRC) receiving multidisciplinary team (MDT) care remains inconclusive.

METHODS

All patients with incident CRC but no prior cancer history in 2005-2008 were included and followed till 2010. A logistic regression model was used to predict the associated factors to participate in the MDT care model. The propensity score method was included under Cox proportional hazards model to reduce potential bias and to conduct survival analyses.

RESULTS

In total, 25,766 patients were included; the mean follow-up period was 35.1 months. The factors associated with participating in MDT included receiving treatments at regional hospitals, at private hospitals, and stage III cancer (all p values <0.001). The favorable survival factors included participating in MDT (HR=0.91, p=0.001), age of 45-75, top-ranked income group, receiving treatments at district hospitals, or at hospitals or with doctors that had higher service volumes (all p values <0.05). Regarding individual stages, the risk of mortality was significantly lower at stage IV (HR=0.88, p=0.002).

CONCLUSION

Colorectal cancer patients with participation in MDT have a lower mortality risk; the improvements of survival exist in all colorectal cancer patients, especially in those with stage IV disease.

Antipsychotic and Benzodiazepine Drug Changes Affect Acute Falls Risk Differently in the Nursing Home

BACKGROUND

Psychotropic drugs increase the risk of falls, but they are still frequently prescribed to treat behavioral symptoms associated with dementia in the nursing home. We examined whether there is an acute increased risk of falls in the days following a change to an antipsychotic or benzodiazepine drug prescription.

METHODS

We collected information on 594 long-stay nursing home residents from two facilities who fell at least once between September 1, 2010 and May 31, 2013. Psychotropic drug changes were ascertained from the facilities' computerized medication administration log. We used the case-crossover design to compare the frequency of antipsychotic and benzodiazepine drug changes during the days before a fall with the frequency of drug changes at more remote times.

RESULTS

Mean age was 87.5 years, and 75.1% were female. The risk of falls was higher in the 24 hours following benzodiazepine initiation compared with other times (odds ratio [OR] 3.79, 95% confidence interval [CI] 1.10, 13.00). There was no clear difference in risk following antipsychotic initiation (OR 2.42, CI 0.58, 10.06), but this could be due to the small sample size. Stopping a benzodiazepine was associated with a significantly reduced fall risk (OR 0.26, 95% CI 0.08-0.91).

CONCLUSIONS

Benzodiazepines pose an immediate threat to fall risk, whereas it is less clear if antipsychotics also pose an immediate risk. Nursing home staff should be particularly vigilant in the days following the new prescription for a benzodiazepine in an effort to prevent injury.

Effects of antipsychotics, antidepressants and mood stabilizers on risk for physical diseases in people with schizophrenia, depression and bipolar disorder

People with severe mental illness have a considerably shorter lifespan than the general population. This excess mortality is mainly due to physical illness. Next to mental illness-related factors, unhealthy lifestyle, and disparities in health care access and utilization, psychotropic medications can contribute to the risk of physical morbidity and mortality. We systematically reviewed the effects of antipsychotics, antidepressants and mood stabilizers on physical health outcomes in people with schizophrenia, depression and bipolar disorder. Updating and expanding our prior systematic review published in this journal, we searched MEDLINE (November 2009 - November 2014), combining the MeSH terms of major physical disease categories (and/or relevant diseases within these categories) with schizophrenia, major depressive disorder and bipolar disorder, and the three major psychotropic classes which received regulatory approval for these disorders, i.e., antipsychotics, antidepressants and mood stabilizers. We gave precedence to results from (systematic) reviews and meta-analyses wherever possible. Antipsychotics, and to a more restricted degree antidepressants and mood stabilizers, are associated with an increased risk for several physical diseases, including obesity, dyslipidemia, diabetes mellitus, thyroid disorders, hyponatremia; cardiovascular, respiratory tract, gastrointestinal, haematological, musculoskeletal and renal diseases, as well as movement and seizure disorders. Higher dosages, polypharmacy, and treatment of vulnerable (e.g., old or young) individuals are associated with greater absolute (elderly) and relative (youth) risk for most of these physical diseases. To what degree medication-specific and patient-specific risk factors interact, and how adverse outcomes can be minimized, allowing patients to derive maximum benefits from these medications, requires adequate clinical attention and further research.

Effects of multidisciplinary team care on the survival of patients with different stages of non-small cell lung cancer: a national cohort study

In Taiwan, cancer is the top cause of death, and the mortality rate of lung cancer is the highest of all cancers. Some studies have demonstrated that multidisciplinary team (MDT) care can improve survival rates of non-small cell lung cancer (NSCLC) patients. However, no study has discussed the effect of MDT care on different stages of NSCLC. The target population for this study consisted of patients with NSCLC newly diagnosed in the 2005–2010 Cancer Registry. The data was linked with the 2002–2011 National Health Insurance Research Database and the 2005–2011 Cause of Death Statistics Database. The multivariate Cox proportional hazards model was used to explore whether the involvement of MDT care had an effect on survival. This study applied the propensity score as a control variable to reduce selection bias between patients with and without involvement of MDT care. The adjusted hazard ratio (HR) of death of MDT participants with stage III & IV NSCLC was significantly lower than that of MDT non-participants (adjusted HR = 0.87, 95% confidence interval = 0.84-0.90). This study revealed that MDT care are significantly associated with higher survival rate of patients with stage III and IV NSCLC, and thus MDT care should be used in the treatment of these patients.

Beneficial impact of multidisciplinary team management on the survival in different stages of oral cavity cancer patients: results of a nationwide cohort study in Taiwan

OBJECTIVES

The aim of this study was to investigate the association between multidisciplinary team (MDT) management and survival of oral cavity cancer patients using a nationwide database in Taiwan.

MATERIALS AND METHODS

A nationwide cohort study was conducted between 2005 and 2008. The follow-up end point was 2010. Claims data of oral cavity cancer patients were retrieved from the Taiwan Cancer Registry Database. Secondary data were obtained from the Taiwan's National Health Insurance Research Database. Among 19,766 newly diagnosed oral cavity cancer patients, we identified 16,991 patients who underwent treatment between 2004 and 2008 for further analyses.

RESULTS

Overall survival was compared between patients who received MDT management (n=3324) and those who did not (n=13,367). Hazard ratios (HR) of death in patients with MDT management were also analyzed. Patients with MDT management had a lower risk of death when compared with that of patients without MDT management (HR: 0.94, 95% confidence intervals (CI): 0.89-1.00; P=0.032). The effect of MDT management on survival was stronger for male patients than for female patients (HR: 0.94, 95% CI: 0.89-1.00; P=0.040 versus HR: 0.98, 95% CI: 0.75-1.27; P=0.866). In addition, the effect of MDT management was strong among patients with a Charlson Comorbidity Index between 4 and 6, in those without coexisting catastrophic illness/injury, and in patients with stage IV diseases.

CONCLUSION

Survival rates in oral cavity cancer patients with MDT management appeared to be marginally better than those of patients without MDT management.

Nationwide retrospective cohort survey of orthopedic injuries in members of the Taiwanese population with psychiatric disorders, 2000-2005

BACKGROUND

The relationship between psychiatric disorders and musculoskeletal injuries is interesting but has not been investigated in depth.

STUDY DESIGN

A retrospective cohort study, based on a large-sample nationwide database, was performed during 2000-2005 in Taiwan.

METHODS

All subjects matching the inclusion criteria of psychiatric-associated ICD9-CM diagnostic codes in 2000 were selected as the inception cohort population. Another cohort-based case-control study was designed, and one sex-matched and age-matched (1:1) control group randomly selected from the population without any prevalent psychiatric disorder in 2000 and incident psychiatric disorder in 2001-2005 was used for comparison.

RESULTS

64,662 Taiwanese people with any prevalent psychiatric disorder were enrolled in this study in 2000. The 6-year cumulative incidences of orthopedic injuries were 13.61/10,000 for femoral neck/femur fracture and 4.64/10,000, 3.40/10,000, 3.25/10,000, and 3.09/10,000 for radius/ulna or hand fracture, tibia/fibula or patella fracture, ankle or foot fracture, and humeral fracture, respectively. Compared with the control group, this Taiwanese population with prevalent psychiatric disorders had fewer incidences of all orthopedic injuries during the 6 years since 2000, and their cumulative incidence ratios ranged from 0.04 to 0.4 for the different injury sites. For lower-limb fractures, compared with the age stratum of less than 20-years-old, the odds ratios (OR) for the age strata 80-years-old or more and 60-79-years-old were 15.84 (95 % CI 4.55-55.20) and 6.11 (95 % CI 1.92-19.49), respectively. The people with organic psychotic conditions had a significantly greater tendency to suffer upper-limb and lower-limb fractures than those with other psychiatric diagnoses (the ranges of ORs were 3.23-16.67 and 2.13-25.00, respectively).

CONCLUSION

Subjects with prevalent psychiatric disorders had fewer occurrences of orthopedic injuries than the general population. Among this specific population, an organic psychotic condition and old age were risk factors for suffering fracture of a limb.