8 research outputs found

    Psychopathological Burden among Healthcare Workers during the COVID-19 Pandemic Compared to the Pre-Pandemic Period

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    This retrospective observational study on hospital staff requesting an “application visit” (from 2017 to 2022) at the Occupational Medicine department aimed at comparing a “pre-COVID group” (2017–2019) with a “COVID group” (2020–2022) regarding (a) sociodemographic data (i.e., age, sex, occupation, years of employment at the hospital), (b) rate and type of psychiatric diagnoses in both groups and rate of psychiatric diagnoses per subject, and (c) rate of drug/psychotherapeutic prescriptions. Two hundred and five healthcare workers (F = 73.7%; mean age = 50.7 ± 10.33) were visited. Compared with the pre-COVID group, healthcare workers evaluated during COVID-19 were significantly younger and reported fewer years of employment at the hospital. Although rates of primary psychiatric diagnoses were similar in both samples, an increased number of psychopathologies per subject and associated treatment prescriptions in the COVID group was observed. In the COVID group, 61% had one psychiatric diagnosis, and 28% had 2+ psychiatric diagnoses, compared with 83.8% and 6.7% of pre-COVID. Furthermore, 56.2%/1.9% in pre-COVID and 73%/6% in the COVID group were prescribed drugs/psychotherapy, respectively. The findings of the present study highlighted an increase in both younger workers’ requests and psychiatric comorbidities during the pandemic, representing a burden on the Italian healthcare system. It is thus relevant to address the mental health challenges of healthcare workers accordingly

    Epistasis between IL1A, IL1B, TNF, HTR2A, 5-HTTLPR and TPH2 Variations Does Not Impact Alcohol Dependence Disorder Features

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    We assessed a set of biological (HDL, LDL, SGOT, SGPT, GGT, HTc, Hb and T levels) and psychometric variables (investigated through HAM-D, HAM-A, GAS, Liebowitz Social Anxiety Scale, Mark & Mathews Scale, Leyton scale, and Pilowski scale) in a sample of 64 alcohol dependent patients, at baseline and after a detoxification treatment. Moreover, we recruited 47 non-consanguineous relatives who did not suffer alcohol related disorders and underwent the same tests. In both groups we genotyped 11 genetic variations (rs1800587; rs3087258; rs1799724; 5-HTTLPR; rs1386493; rs1386494; rs1487275; rs1843809; rs4570625; rs2129575; rs6313) located in genes whose impact on alcohol related behaviors and disorders has been hypothesized (IL1A, IL1B, TNF, 5-HTTLPR, TPH2 and HTR2A). We analyzed the epistasis of these genetic variations upon the biological and psychological dimensions in the cases and their relatives. Further on, we analyzed the effects of the combined genetic variations on the short – term detoxification treatment efficacy. Finally, being the only not yet investigated variation within this sample, we analyzed the impact of the rs6313 alone on baseline assessment and treatment efficacy. We detected the following results: the couple rs6313 + rs2129575 affected the Leyton -Trait at admission (p = 0.01) (obsessive-compulsive trait), whilst rs1800587 + 5-HTTLPR impacted the Pilowski test at admission (p = 0.01) (hypochondriac symptoms). These results did not survive Bonferroni correction (p ≀ 0.004). This lack of association may depend on the incomplete gene coverage or on the small sample size which limited the power of the study. On the other hand, it may reflect a substantial absence of relevance of the genotype variants toward the alcohol related investigated dimensions. Nonetheless, the marginal significance we detected could witness an informative correlation worth investigating in larger samples

    Haematic microsampling for monitoring psychiatric drugs: an overdose case study

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    In April 2018 some haematic samples, namely dried blood spots (DBS), plasma and serum were received at PTA Lab from the intensive care unit and the psychiatric diagnosis and care service of S. Orsola-Malpighi Hospital, coming from a psychiatric patient in a supposed state of intoxication for self-injurious purposes. It dealt with a complicated case of polypharmacy where quetiapine, an atypical antipsychotic used for the treatment of schizophrenia, bipolar disorder and major depressive disorders, was taken to attempt suicide in association with sertraline, a second-generation antidepressant belonging to the selective serotonin reuptake inhibitor (SSRI) category. An original HPLC method was applied within this non-fatal overdose case study to perform a comparative analysis on haematic samples processed by means of miniaturised approaches. Solid-phase microextraction fibers for liquid chromatography (LC-SPME) were used as a preliminary step to perform an analytical qualitative screening in a short time. Then, an advanced comparative analysis using microsamples was performed by means of dried matrix spot (DMS), featuring advantages over classic biological matrices in terms of simplified sampling, handling, and overall feasibility. Dried samples may be shipped and stored at room temperature instead of cryopreservation. Thus, the use of microsampling has multiple advantages in particular when limited volumes of biological samples are available. DBS, dried plasma spots (DPS) and dried serum spots (DSS) sampling and pretreatment were compared to a fully validated reference solid-phase extraction (SPE) on plasma and serum and proved to be less time-consuming, more straightforward and cost-effective, requiring lower matrix and solvent volumes. In fact, microsampling involved the use of 10 or 20 \ub5L of matrix deposited on specific cellulose supports; analyte extraction was performed by means of 500 \u3bcL of solvent exploiting a carefully optimised combination of fast microwave-assisted extraction (MAE) and ultrasound-assisted extraction (UAE). Within this bridging study, miniaturised dried matrices provided comparable findings with respect to the reference method, demonstrating the reliability of the quali-quantitative results obtained by microsampling. Moreover, they proved to be useful tools for application to the monitoring of patients in therapy with CNS drugs, especially when rapid screening and confirmation results are needed by using streamlined, feasible procedures yet providing reliable and sound data. The perspective of a fast analysis on a few blood drops directly collected from a fingertip places microsampling among the most promising approaches in bioanalysis, particularly relevant in the framework of clinical applications

    Innovative Solid-Phase Extraction Strategies for Improving the Advanced Chromatographic Determination of Drugs in Challenging Biological Samples

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    In the past few decades, considerable scientific strides have been made in the subject of drug analysis in human biological samples. However, the risk caused by incorrect drug plasma levels in patients still remains an important concern. This review paper attempts to investigate the advances made over the last ten years in common sample preparation techniques (SPT) for biological samples based on solid sorbents, including solid-phase extraction (SPE) and solid-phase micro-extraction (SPME), and in particular in the field of molecularly imprinted polymers (MIPs), including non-stimuli-responsive and stimuli-responsive adsorbents. This class of materials is known as 'smart adsorbents', exhibiting tailored responses to various stimuli such as magnetic fields, pH, temperature, and light. Details are provided on how these advanced SPT are changing the landscape of modern drug analysis in their coupling with liquid chromatography-mass spectrometry (LC-MS) analytical techniques, a general term that includes high-performance liquid chromatography (HPLC) and ultra-high performance liquid chromatography (UHPLC), as well as any variation of MS, such as tandem (MS/MS), multiple-stage (MSn), and high-resolution (HRMS) mass spectrometry. Some notes are also provided on coupling with less-performing techniques, such as high-performance liquid chromatography with ultraviolet (HPLC-UV) and diode array detection (HPLC-DAD) detection. Finally, we provide a general review of the difficulties and benefits of the proposed approaches and the future prospects of this research area

    Mental Illness and Work-Related Limitations in Healthcare Workers: A Preliminary Retrospective Study

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    This retrospective observational study investigated hospital staff requests for job fitness visits, addressed to occupational medicine. Specific objectives were to analyze: (1) health workers' requests, sociodemographic characteristics, psychiatric diagnoses, assigned doctor's fit notes, and (orthopedic, psychiatric) limitations; (2) associations between psychiatric diagnoses, sociodemographic (sex, age), and work-related (job, department) characteristics; (3) associations between the same psychiatric diagnoses/orthopedic limitations, fit notes, and/or psychiatric limitations. Data of St. Orsola-Malpighi Polyclinic health workers (N = 149; F = 73.8%; mean age = 48 ± 9.6 years), visited by both the occupational medicine physician and psychiatrist (January 2016-May 2019), were analyzed. 83.2% of the sample presented with at least one psychiatric diagnosis, including mood (47%), anxiety (13.4%), and anxious-depressive (10.7%) disorders. Significant differences between psychiatric diagnoses according to sex and fit notes (both p < 0.01) have been found, whereas no significant associations based on age and work-related characteristics have been observed. Analysis of frequencies of participants with the same psychiatric diagnosis (orthopedic limitation being equal), according to doctor's fit notes and psychiatric work limitations, showed a high heterogeneity of assignments. The current occupational medicine procedure for fit notes/job limitations assignments does not allow taking into consideration clinical factors possibly associated with more specific assignments. To standardize the procedure and translate the psychiatrist's clinical judgment into practice, further studies to test the usefulness of clinimetrics, which might represent a reliable approach in considering different fit notes and job limitations, are needed.ISSN:1660-4601ISSN:1661-782

    Volumetric absorptive microsampling for the therapeutic drug monitoring of psychiatric patients treated with cariprazine

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    Psychiatric disorders are usually treated with antipsychotic agents belonging to different pharmacological and chemical classes, the most recent ones collectively known as “third-generation antipsychotics”, such as cariprazine, approved in 2015 for the treatment of patients affected by schizophrenia. For these patients, a frequent therapeutic drug monitoring (TDM) becomes essential to assess compliance and to optimise and personalise their therapy, also due to cariprazine interindividual variability and narrow therapeutic range. In this study, a bioanalytical method featuring miniaturised sampling and pretreatment was developed, based on volumetric absorptive microsampling (VAMS) for TDM of psychiatric patients under cariprazine treatment and compared to a classic, reference method based on fluid plasma analysis. Minimally invasive whole blood VAMS was coupled to an original instrumental method based on ultra-high performance liquid chromatography hyphenated to mass spectrometry (UHPLC-MS). A feasible and streamlined, yet reliable VAMS pretreatment protocol was carefully optimised and the VAMS-UHPLC-MS methodology was validated with satisfactory results in terms of linearity (r2r^2 > 0.9970 in the 1.5-100 ng/mL range), precision (%RSD ≀ 11.7), extraction yield (> 90.0%) and matrix effect (8.2≀ RE% ≀ 10.9%). Finally, the microsampling approach coupled to UHPLC-MS was successfully applied to the TDM of psychiatric patients treated with cariprazine and compared with standard fluid plasma analysis, providing reliable quali-quantitative results, and proving to be readily applicable to the clinical practice in TDM programs as a useful alternative to cariprazine plasma analysis. This is the first report of a successful microsampling application, and in particular the first report of VAMS application, for the TDM of cariprazine

    Epistasis between IL1A, IL1B, TNF, HTR2A, 5-HTTLPR and TPH2 Variations Does Not Impact Alcohol Dependence Disorder Features

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    We assessed a set of biological (HDL, LDL, SGOT, SGPT, GGT, HTc, Hb and T levels) and psychometric variables (investigated through HAM-D, HAM-A, GAS, Liebowitz Social Anxiety Scale, Mark & Mathews Scale, Leyton scale, and Pilowski scale) in a sample of 64 alcohol dependent patients, at baseline and after a detoxification treatment. Moreover, we recruited 47 non-consanguineous relatives who did not suffer alcohol related disorders and underwent the same tests. In both groups we genotyped 11 genetic variations (rs1800587; rs3087258; rs1799724; 5-HTTLPR; rs1386493; rs1386494; rs1487275; rs1843809; rs4570625; rs2129575; rs6313) located in genes whose impact on alcohol related behaviors and disorders has been hypothesized (IL1A, IL1B, TNF, 5-HTTLPR, TPH2 and HTR2A). We analyzed the epistasis of these genetic variations upon the biological and psychological dimensions in the cases and their relatives. Further on, we analyzed the effects of the combined genetic variations on the short - term detoxification treatment efficacy. Finally, being the only not yet investigated variation within this sample, we analyzed the impact of the rs6313 alone on baseline assessment and treatment efficacy. We detected the following results: the couple rs6313 + rs2129575 affected the Leyton - Trait at admission (p = 0.01) (obsessive-compulsive trait), whilst rs1800587 + 5-HTTLPR impacted the Pilowski test at admission (p = 0.01) (hypochondriac symptoms). These results did not survive Bonferroni correction (p = 0.004). This lack of association may depend on the incomplete gene coverage or on the small sample size which limited the power of the study. On the other hand, it may reflect a substantial absence of relevance of the genotype variants toward the alcohol related investigated dimensions. Nonetheless, the marginal significance we detected could witness an informative correlation worth investigating in larger samples
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