Publications by authors named "Harold I Schwartz"

The authors describe a quality and safety initiative designed to decrease seclusion/restraint (S/R) and present the results of a pilot study that evaluated the effectiveness of this program. The study sample consisted of consecutive admissions to a 120-bed psychiatric service after the intervention was implemented (October 2010-September 2012, n = 8029). Analyses compared S/R incidence and duration in the study sample to baseline (consecutive admissions during the year prior to introduction of the intervention, October 2008-September 2009, n = 3884).

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Aim: This study aimed to determine the effect of the CYP2D6 genotype on the length of hospitalization stay for patients treated for major depressive disorder.

Methods: A total of 149 inpatients with a diagnosis of major depressive disorder at the Institute of Living, Hartford Hospital (CT, USA), were genotyped to detect altered alleles in the CYP2D6 gene. Prospectively defined drug metabolism indices (metabolic reserve, metabolic alteration and allele alteration) were determined quantitatively and assessed for their relationship to length of hospitalization stay.

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Aims: To investigate associations between novel human cytochrome P450 (CYP450) combinatory (multigene) and substrate-specific drug metabolism indices, and elements of metabolic syndrome, such as low density lipoprotein cholesterol (LDLc), high density lipoprotein cholesterol (HDLc), triglycerides and BMI, using physiogenomic analysis.

Methods: CYP2C9, CYP2C19 and CYP2D6 genotypes and clinical data were obtained for 150 consecutive, consenting hospital admissions with a diagnosis of major depressive disorder and who were treated with psychotropic medications. Data analysis compared clinical measures of LDLc, HDLc, triglyceride and BMI with novel combinatory and substrate-specific CYP450 drug metabolism indices.

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Aims: We aim to demonstrate clinical relevance and utility of four novel drug-metabolism indices derived from a combinatory (multigene) approach to CYP2C9, CYP2C19 and CYP2D6 allele scoring. Each index considers all three genes as complementary components of a liver enzyme drug metabolism system and uniquely benchmarks innate hepatic drug metabolism reserve or alteration through CYP450 combinatory genotype scores.

Methods: A total of 1199 psychiatric referrals were genotyped for polymorphisms in the CYP2C9, CYP2C19 and CYP2D6 gene loci and were scored on each of the four indices.

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The purpose of this study was to identify genetic variants predictive of cardiovascular risk factors in a psychiatric population treated with second generation antipsychotics (SGA). 924 patients undergoing treatment for severe mental illness at four US hospitals were genotyped at 1.2 million single nucleotide polymorphisms.

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Driven by financial pressures, the sole focus of psychiatric inpatient treatment has become safety and crisis stabilization. Data are lacking on outcomes of ultrashort-stay hospitalizations; however, such stays may diminish opportunities for a sustained recovery. In the absence of an evidence base to guide clinicians and policy makers, mental health professionals have an ethical obligation to promote what they consider to be best practice.

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A 54-year-old woman presented with severe anxiety, multiple somatic complaints, medication intolerance and adverse drug reactions (ADRs) to numerous prescribed psychotropic medications. Multiple drug metabolizing deficiencies were suspected. Molecular analysis was performed for the CYP2 family of Cytochrome P450 (CYP450) drug metabolism isoenzymes by DNA typing CYP2D6, CYP2C9, and CYP2C19 genes.

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Despite efforts to decrease lengths of acute psychiatric hospital stays, some geriatric inpatients continue to have extended stays. This research examined factors related to length of stay (LOS), including legal and administrative factors not traditionally included in prior studies. The charts of 384 patients, representing all 464 discharges from an inpatient geropsychiatric unit over a one-year period, were evaluated retrospectively and analyzed using logistic regression and logarithmic transformation.

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