Longitudinal trajectories of psychosocial functioning in patients with pre-existing mental disorders after one year of COVID-19 pandemic

Aims of the present study were to prospectively assess psychosocial functioning trajectories during the COVID pandemic and the possible impact of sociodemographic variables, as well as of COVID-19 pandemic-related factors, on these trajectories, in a sample of patients with pre-existing severe mental disorders. Moreover, we aimed at identifying predictors of impairment in psychosocial functioning over a period of 9 months of COVID-19 pandemic. Patients were recruited during the 3rd wave of the COVID-19 pandemic (T0, March-April 2021) while strict containment measures were applied in Italy, and reassessed after 3 months (T1, June-July 2021), and after 6 months from T1 (T2- November-December 2021), during the 4th wave of COVID pandemic. A sample of 300 subject (out of the 527 subjects recruited at baseline) completed the T2 evaluation. Patients were assessed by: Work and Social Adjustment Scale (WSAS) for psychosocial functioning, Generalized Anxiety Disorder 7-Item (GAD-7) for anxiety symptoms, Patient Health Questionnaire-9 (PHQ-9) for depressive symptoms and the Impact of Events Scale-Revised, for post-traumatic symptoms. Cluster analyses identified 4 trajectories of functioning: the High, Stable Functioning group (N = 77), the Improvement Functioning group (N = 62), the Progressive Impairment group (N = 83) and the Persistent Severe Impairment group (N = 78) respectively. We found that predictors of higher WSAS score at T2 were higher WSAS score at T0 (B = 0.43, p < .001), PHQ scores at baseline >10 (B = 2.89, p < .05), while not living alone was found to be a protective factor (B = -2.5, p < .05). Results of the present study provides insights into the vulnerability of individuals with psychiatric disorders during times of crisis. Study findings can contribute to a better understanding of the specific needs of this population and inform interventions and support strategies.

A machine-learning tool to predict substrate-adaptive conditions for Pd-catalyzed C-N couplings

Machine-learning methods have great potential to accelerate the identification of reaction conditions for chemical transformations. A tool that gives substrate-adaptive conditions for palladium (Pd)-catalyzed carbon-nitrogen (C-N) couplings is presented. The design and construction of this tool required the generation of an experimental dataset that explores a diverse network of reactant pairings across a set of reaction conditions. A large scope of C-N couplings was actively learned by neural network models by using a systematic process to design experiments. The models showed good performance in experimental validation: Ten products were isolated in more than 85% yield from a range of couplings with out-of-sample reactants designed to challenge the models. Importantly, the developed workflow continually improves the prediction capability of the tool as the corpus of data grows.

OP0197 POST-TRAUMATIC STRESS DISORDER AND SYMPTOMS IN PATIENTS WITH RHEUMATIC AND MUSCULOSKELETAL DISEASES DURING THE COVID-19 PANDEMIC: PRELIMINARY RESULTS FROM THE PERMAS STUDY

Background

The COVID-19 pandemic, with its uncertainties, fears of contagion, mass lockdowns and containment measures, has dramatically impacted on people’s everyday lives leading to an increased risk of mental disorders, particularly Post-Traumatic Stress Disorder (PTSD). Despite evidence in general population and healthcare workers1,2, scant data emerged on vulnerable populations, such as of patients with chronic illness, particularly rheumatic and musculoskeletal diseases (RMDs)3,4, who also underwent difficulties in the management and treatment of their disorders.

Objectives

To assess PTSD and post-traumatic stress symptoms in a sample of patients with RMDs, during the COVID-19 pandemic in Italy.

Methods

PERMAS is a monocentric prospective observational study led by the Rheumatology Unit, the Psychiatric Clinic and the Institute of Management of the School of Advanced Studies. Patients with a RMD diagnosis, were consecutively enrolled from May 2021 to January 2022. During the visit, sociodemographic characteristics and psychopathological data were collected through online survey, whereas clinical data were collected by physician. The survey included the Trauma and Loss Spectrum- Self Report (TALS-SR) and the Impact of Event Scale- Revised (IES-R), aimed to assess symptomatological PTSD and post-traumatic stress symptoms related to the impact of the COVID-19 pandemic.

Results

A total of 194 eligible patients, with a mean age of 50.3±12.17 years, was included: 142 (73.19%) were females; 112 (57.74%) patients reported connective tissue diseases (CTD), 63 (32.47%) arthritis and 19 (9.8%) vasculitis. A total of 33 (17%) subjects reported a symptomatological PTSD by means of the TALS-SR. The prevalence of Partial PTSD (defined by at least 2 out of the 4 criteria for DSM-5 diagnosis of the disorder) was 56.7%, with significant higher rates among females (90, 81.8%) with respect to males (20, 18.2%) (p=.013). Accordingly, a IES-R mean total score of 21.90 ±15.98 was found in the total sample and a gender difference emerged, with higher mean scores among females rather than males (23.42 ±16.26 vs 21.90 ±15.98, p=.031).

Conclusion

The present findings point out high prevalence rates of symptomatological PTSD among patients suffering from RMDs, highlighting the potentially traumatic burden of the COVID-19 pandemic in this particular population, especially among females, suggesting the need of further investigations to address tailored prevention and intervention strategies.

References

[1]Fiorillo A, Sampogna G, Giallonardo V, Del Vecchio V, Luciano M, Albert U, Carmassi C, Carrà G, Cirulli F, Dell’Osso B, Nanni MG, Pompili M, Sani G, Tortorella A, Volpe U. Effects of the lockdown on the mental health of the general population during the COVID-19 pandemic in Italy: Results from the COMET collaborative network. Eur Psychiatry 2020; 63(1), e87.

[2]Carmassi C, Dell’Oste V, Bui E, Foghi C, Bertelloni CA, Atti AR, Buselli R, Di Paolo M, Goracci A, Malacarne P, Nanni MG, Gesi C, Cerveri G, Dell’Osso L. The interplay between acute post-traumatic stress, depressive and anxiety symptoms on healthcare workers functioning during the COVID-19emergency: A multicenter study comparing regions with increasing pandemic incidence. J Affect Disord 2022; 298(Pt A), 209-216.

[3]Garrido-Cumbrera M, Marzo-Ortega H, Christen L, Plazuelo-Ramos P, Webb D, Jacklin C, Irwin S, Grange L, Makri S, Frazão Mateus E, Mingolla S, Antonopoulou K, Sanz-Gómez S, Correa-Fernández J, Carmona L, Navarro-Compán V. Assessment of impact of the COVID-19 pandemic from the perspective of patients with rheumatic and musculoskeletal diseases in Europe: results from the REUMAVID study (phase 1). RMD 2021; 7(1), e001546. doi: 10.1136/rmdopen-2020-001546

[4]Wang XA, Duculan R, Mancuso CA. Coping Mechanisms Mitigate Psychological Stress in Patients With Rheumatologic Diseases During the COVID-19 Pandemic. J Clin Rheumatol 2021. doi: 10.1097/RHU.0000000000001757

Disclosure of Interests

Giovanni Fulvio: None declared, Virginia Pedrinelli: None declared, Gianni Andreozzi: None declared, Francesca Trentin: None declared, Sara Fantasia: None declared, Silvia Fonzetti: None declared, Chiara Fustini: None declared, Mattia Da Rio: None declared, Gabriele Cappellato: None declared, Cosimo Cigolini: None declared, Davide Schilirò: None declared, Michele Maffi: None declared, Laura Scagnellato: None declared, Anastasiya Valevich: None declared, Federico Fattorini: None declared, Inmaculada Concepción Navarro García: None declared, Ilaria Palla: None declared, Valentina Lorenzoni: None declared, Andrea Gaglioti: None declared, Claudia Carmassi: None declared, Chiara Tani: None declared, Giuseppe Turchetti: None declared, Liliana Dell’Osso: None declared, Marta Mosca Speakers bureau: Lillly, Astra Zeneca, GSK, Consultant of: Lillly, Astra Zeneca, GSK

Streamlined Synthesis of Diaminopyridines by Pd-Catalyzed Ammonia Coupling with Deactivated Amino-Chloropyridines

An efficient and cost-effective two-step synthesis of diaminopyridines, fundamental building blocks of biologically active compounds, is reported. The advantages over previously reported routes include cost and wider availability of the bromo-chloropyridine starting materials and the straightforward accessibility to an extended array of diaminopyridine regioisomers. The key enabler of this synthetic strategy is the development of an unprecedented palladium-catalyzed coupling reaction of ammonia with chloropyridines deactivated by the presence of an alkylamino substituent. The coupling reaction was accomplished with very low catalyst loadings under remarkably mild reaction conditions, making the system particularly suitable for both academic and industrial applications. The utility of this methodology is exemplified by the application to the synthesis of highly relevant scaffolds, including the synthetic intermediates of the marketed drugs Ribociclib and Palbociclib.

Sterically Congested 2,6-Disubstituted Anilines from Direct C-N Bond Formation at an Iodine(III) Center

2,6‐Disubstituted anilines are readily prepared from the direct reaction between amides and diaryliodonium salts. As demonstrated for 24 different examples, the reaction is of unusually broad scope with respect to the sterically congested arene and the nitrogen source, occurs without the requirement for any additional promoter, and proceeds through a direct reductive elimination at the iodine(III) center. The efficiency of the coupling procedure is further demonstrated within the short synthesis of a chemerin binding inhibitor.

Cu-catalyzed aerobic oxidative cyclization of guanidylpyridines and derivatives

A new method for the straightforward synthesis of 2-amino-[1,2,4]triazolo[1,5-a]pyridines and derivatives is presented. The target products are synthesized in high yields from guanidylpyridines and analogues via copper-catalyzed N-N coupling. The present methodology shows a wide scope, tolerating not only different substituents on the pyridine ring but also different heterocylic rings such as pyrazines, pyrimidines, and pyridazines.

Thermodynamic, kinetic, and computational study of heavier chalcogen (S, Se, and Te) terminal multiple bonds to molybdenum, carbon, and phosphorus

Enthalpies of chalcogen atom transfer to Mo(N[t-Bu]Ar)3, where Ar = 3,5-C6H3Me2, and to IPr (defined as bis-(2,6-isopropylphenyl)imidazol-2-ylidene) have been measured by solution calorimetry leading to bond energy estimates (kcal/mol) for EMo(N[t-Bu]Ar)3 (E = S, 115; Se, 87; Te, 64) and EIPr (E = S, 102; Se, 77; Te, 53). The enthalpy of S-atom transfer to PMo(N[ t-Bu]Ar) 3 generating SPMo(N[t-Bu]Ar)3 has been measured, yielding a value of only 78 kcal/mol. The kinetics of combination of Mo(N[t-Bu]Ar)3 with SMo(N[t-Bu]Ar)3 yielding (mu-S)[Mo(N[t-Bu]Ar)3]2 have been studied, and yield activation parameters Delta H (double dagger) = 4.7 +/- 1 kcal/mol and Delta S (double dagger) = -33 +/- 5 eu. Equilibrium studies for the same reaction yielded thermochemical parameters Delta H degrees = -18.6 +/- 3.2 kcal/mol and Delta S degrees = -56.2 +/- 10.5 eu. The large negative entropy of formation of (mu-S)[Mo(N[t-Bu]Ar)3]2 is interpreted in terms of the crowded molecular structure of this complex as revealed by X-ray crystallography. The crystal structure of Te-atom transfer agent TePCy3 is also reported. Quantum chemical calculations were used to make bond energy predictions as well as to probe terminal chalcogen bonding in terms of an energy partitioning analysis.