BACKGROUND Pain management can be challenging in frail older people with cancer due to drug-drug interactions and heightened susceptibility to adverse drug events. OBJECTIVE To investigate the relationship between analgesic use and pain by frailty status in older outpatients with cancer. METHODS A total of 385 consecutive patients aged 70 years and over who presented to an outpatient oncolo...

BACKGROUND Among patients with hypertension, those with established left ventricular hypertrophy (LVH) represent a high risk cohort with poor prognosis. We aimed to investigate differences in characteristics and health care management of such patients treated as inpatients or outpatients by cardiac specialists. METHODS Prospective cross-sectional study in patients with hypertension and LVH wh...

BACKGROUND Pharmacopuncture is a relatively new acupuncture therapy combining acupuncture with herbal medicine. While pharmacopuncture is applied extensively in Korean medicine treatment, there are no clinical reports regarding what types of pharmacopuncture are used for which diseases. METHODS Data was extracted retrospectively from the electronic medical records of all inpatients and outpat...

BACKGROUND There is little research on the subject of personality disorder (PD) in individuals with borderline intellectual functioning (BIF). Unlike in most countries, in the Netherlands, patients with BIF are eligible for specialized mental health care. This offers the unique possibility of examining the rates of PDs in patients, who in other countries are treated relatively invisibly in regu...

BACKGROUND AND PURPOSE Limited data are available on management of outpatients with stroke or transient ischemic attack (TIA) and on clinicians' reasons for withholding procedures recommended by guidelines. We assessed to what extent guidelines are appropriately applied after ischemic stroke or TIA, in admitted patients as well as outpatients. METHODS A survey was conducted in 11 centers in t...

Air pollution is of high relevance to human health. In this study, multiple machine-learning (ML) models—linear regression, random forest (RF), AdaBoost, and neural networks (NNs)—were used explore the potential impacts air-pollutant concentrations on incidence pediatric respiratory diseases in Taizhou, China. A number explainable artificial intelligence (XAI) methods were further applied analy...