Postoperative cognitive worsening in seniors with an age above life expectancy: a prospective longitudinal study.

BACKGROUND: The growing number of elderly patients in hospitals is a challenge for healthcare systems. The main objective is to measure the postoperative change in the cognitive status at hospital discharge and one year after discharge in elderly patients undergoing planned or deferrable surgery. METHODS: We planned a prospective longitudinal study, single-center study: secondary care level hospital, enrolment from September 2018 to May 2019. We enroll elderly patients, aged above life expectancy in Italy, who underwent planned or deferrable surgery (men over 80.5 years old, women over 85.0 years old). In six months, we enrolled 76 eligible patients. We collected the scores of the clinical impairment scales Charlson Index, Barthel Index, and Six-Item Cognitive Impairment Test (6CIT). The primary endpoint was the postoperative worsening of the cognitive status at one-year follow-up. Secondary endpoints aimed to describe postoperative disabilities and complications, to investigate possible risk factors for cognitive worsening, and to measure the role of anesthesia in cognitive changes. RESULTS: We recorded an increased rate of pathological 6CIT values during the hospitalization period, rising from 39.47% to 55.26% (McNemar test, P=0.007), and this rate was still increased at 55.56% (P=0.021) one year after discharge. Anesthesia did not show any significant harmful effect on cognitive status. The preoperative hemoglobin value seems to be a risk factor for cognitive status and one-year mortality. CONCLUSIONS: Elderly patients had a significantly worse 6CIT value after planned surgery, which may derive in part from age and in part from hospitalization. It is difficult to determine if general anesthesia alone has no harmful effects on cognitive performance in patients at discharge and one year later. Further data are necessary.

COVID-19 Biomarkers for Critically Ill Patients: A Compendium for the Physician.

BACKGROUND: SARS-CoV-2 clinical manifestation and progression are variable and unpredictable, hence the importance of considering biomarkers in clinical practice that can be useful for both diagnosis and prognostic evaluation. This review aims to summarize, for intensive care physicians, the most recent state of knowledge regarding known COVID-19 in critical patients. We searched PubMed® using the Boolean operators and identified all results on the PubMed® database of all studies regarding COVID-19 biomarkers. We selected studies regarding endothelium, cytokines, bacterial infection, coagulation, and cardiovascular biomarkers. METHODS: We divided the results into four essential paragraphs: "Cytokine storm", "Endothelium dysfunction and coagulation biomarkers in COVID-19", "Biomarker of sepsis", and Cardiovascular lung and new perspectives. RESULTS: The assessments of the severe COVID-19 prognosis should monitor, over time, IL-6, soluble Von Willebrand factor (VWF), P-selectin, sCD40L, thrombomodulin, VCAM-1, endothelin- Troponin, D-dimer, LDH, CRP, and procalcitonin. Metabolomic alterations and ACE2 receptors represent new perspectives. DISCUSSION AND CONCLUSIONS: Early identification of critically ill patients has been crucial in the first COVID-19 pandemic wave for the sustainability of the healthcare emergency system and clinical management. Only through the early identification of the most severe patients can they be provided with the most appropriate treatments.

Point-of-care pancreatic stone protein measurement in critically ill COVID-19 patients.

INTRODUCTION: Pancreatic stone protein (PSP) is a novel biomarker that is reported to be increased in pneumonia and acute conditions. The primary aim of this study was to prospectively study plasma levels of PSP in a COVID-19 intensive care unit (ICU) population to determine how well PSP performed as a marker of mortality in comparison to other plasma biomarkers, such as C reactive protein (CRP) and procalcitonin (PCT). METHODS: We collected clinical data and blood samples from COVID-19 ICU patients at the time of admission (T0), 72 h later (T1), five days later (T2), and finally, seven days later. The PSP plasma level was measured with a point-of-care system; PCT and CRP levels were measured simultaneously with laboratory tests. The inclusion criteria were being a critical COVID-19 ICU patient requiring ventilatory mechanical assistance. RESULTS: We enrolled 21 patients and evaluated 80 blood samples; we found an increase in PSP plasma levels according to mixed model analysis over time (p < 0.001), with higher levels found in the nonsurvivor population (p < 0.001). Plasma PSP levels achieved a statistically significant result in terms of the AUROC, with a value higher than 0.7 at T0, T1, T2, and T3. The overall AUROC of PSP was 0.8271 (CI (0.73-0.93), p < 0.001). These results were not observed for CRP and PCT. CONCLUSION: These first results suggest the potential advantages of monitoring PSP plasma levels through point-of-care technology, which could be useful in the absence of a specific COVID-19 biomarker. Additional data are needed to confirm these results.

Complex PTSD in asylum-seekers living in a humanitarian setting in Africa: A latent class analysis.

[Correction Notice: An Erratum for this article was reported online in Psychological Trauma: Theory, Research, Practice, and Policy on May 08 2023 (see record 2023-69929-001). In the original article, paragraphs 1 through 3 of the main text and the first paragraph under "PTSD and CPTSD Symptoms" in the Methods section were rewritten to avoid text similarity with that of a previously published article "Evidence of Distinct Profiles of ICD-11 Post-Traumatic Stress Disorder (PTSD) and Complex PTSD in a South African Sample," by James Rink and Gosia Lipinska (European Journal of Psychotraumatology, 2020, Vol. 11, No. 1, Article 1818965, https:// doi.org/10.1080/20008198.2020.1818965). All versions of this article have been corrected.] Objective: This study investigated ICD-11 posttraumatic stress disorder (PTSD) and complex PTSD (CPTSD) symptom profiles and their premigration, postmigration, and demographic predictors in a treatment-seeking sample of asylum-seekers in Agadez (Niger). METHOD: Participants were 126 asylum-seekers hosted in a large, isolated reception camp in the desert surroundings of Agadez (humanitarian site) or in a number of small urban hosting facilities (cases de passages) who completed measures of trauma exposure and PTSD/CPTSD symptoms. Latent class analysis (LCA) was used to identify symptom profiles, and predictors of class membership were identified via multinomial logistic regression. RESULTS: More asylum seekers met the criteria for CPTSD (74.6%) than PTSD (19.8%) and no gender differences were observed. LCA results identified two distinct groups: (a) a CPTSD class (69.0%); and (b) a PTSD class (31.0%). Membership in the CPTSD class was significantly predicted by the early age of the first traumatic event, levels of functional impairment and reception conditions. Specifically, those in the CPTSD class were more likely to live in the humanitarian site compared with those in the PTSD class. CONCLUSION: This study supported the validity of the ICD-11 construct of CPTSD in an asylum-seeker sample living in a low-income country. Moreover, the findings suggest that not only premigration factors (i.e., the early age of the first trauma) but also postmigration stressors (i.e., precarious reception conditions in large, isolated facilities) are important predictors of CPTSD symptoms with important implications regarding reception policies and the prevention of trauma-related mental disorders in asylum seekers and refugees. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Voice hearing in refugees survivors of traumatic events.

The term voice hearing (VH) refers to the experience of hearing voices in the absence of corresponding external stimuli and is considered a hallucinatory experience. According to the Diagnostic and Statistical Manual of Mental Disorders, fifth edition (DSM-5; American Psychiatric Association [APA], 2013), hallucinations are perception-like experiences that occur without an external stimulus. They are vivid and clear, with the full force and impact of normal perceptions, and not under voluntary control. Specifically, auditory hallucinations involve the perception of sound, most frequently of voices (i.e., auditory verbal hallucinations- AVHs) but sometimes of clicks or other noises, that are not restricted to the period of awakening or the onset of sleep. AVHs are usually experienced as voices, whether familiar or unfamiliar, that are perceived as distinct from the individual's own thoughts.

Health Care Management during a Major Planned Event in Italy.

Events involving a high number of participants should be planned and implemented with the primary objective of guaranteeing the highest possible level of safety, which is ever more essential in the recent years due to the risk of terrorism, violence, and highly transmissible pathogens like coronavirus disease 2019 (COVID-19).The aim of this study was describing health care management of the Vasco Modena Park July 1, 2017 concert by the artist Vasco Rossi that involved 220,000 participants, more than doubling the population of Modena (Italy), the city hosting the event.Data were retrospectively collected from all health care registers used during the concert. Descriptive data regarding the event were recorded, as well as the medical records generated by the advanced medical posts.For analysis, patients were divided into two groups: the LOW-Severity (admission code green) and HIGH-Severity (admission codes yellow and red). The number of patients within the inclusion period was 1,088; there were 953 green discharge codes (97.74%), 16 yellow (1.64%), and six red (0.61%). Patients who needed a second-level assessment were 5.85% (57 events). HIGH-Severity patients needed to be further evaluated in 45.45% of the cases versus 4.93% of the LOW-Severity patient group (P value <.001).The health care management proved adequate to the number of participants and the severity of patients. Descriptive data reported add the mass-gathering database useful for further events.

A Schema Therapy approach to complex dissociative disorder in a cross-cultural setting: a single case study.

Complex dissociative disorders (CDD) include dissociative identity disorder (DID) and the most common other specified dissociative disorder (OSDD, type 1). While consensus-based treatments for CDD are lacking in several international guidelines, patients suffering from CDD show high levels of impairment, treatment utilization and costs. Migrants and refugees often present risk factors for trauma-related and dissociative disorders and need effective and culturally adapted treatments. Schema Therapy (ST) is an integrative psychotherapy that has been recently proposed as a treatment for CDD. This case study examined the process of individual ST, in a three phases-based approach, with a 38-year-old male Yemeni refugee with OSDD, type 1, posttraumatic stress disorder and borderline personality disorder. The treatment was provided in a Western country and the setting included two Western therapists (co-therapy) and an Arabic interpreter/cultural mediator. We assessed the patient's change by using self-report assessments of dissociative and PTSD symptoms, cognitive schemas over 2-year and 4-months treatment periods and a 6-months follow-up. Posttreatment and follow-up reliable change analyses showed significant improvements in dissociative and PTSD symptoms as well as in some cognitive schemas. Despite any firm conclusion cannot be drawn due to the limitations of this study (i.e., single case study), the findings suggest that ST integrated in a phase-oriented approach may be an effective treatment for CDD. Additionally, our study provides some preliminary elements about cross-cultural validity of the schema modes construct as well as cross-cultural effectiveness of ST. More research based on larger samples and specific cross-cultural focused design is needed to confirm these assumptions.

Access to COVID-19 Vaccination during the Pandemic in the Informal Settlements of Rome.

With the advent of vaccines, the world has a chance to see a real end to the COVID-19 pandemic. To make this possible, however, it is necessary that all groups of people are considered. Contexts of informal settlements and populations such as the homeless and migrants are often forgotten by vaccination campaigns. In this study, carried out as a result of a collaboration with MEDU, a non-profit association aimed at bringing healthcare to vulnerable populations, we provide important data related to the vaccination campaign carried out in the informal settlements of Rome. The objectives of this work are to (1) evaluate vaccination coverage in these contexts, (2) assess the gap with the vaccination coverage of the Italian population and try to hypothesize the causes, and (3) provide recommendations for how humanitarian associations can respond to reduce this gap. We observed important differences in vaccination coverage depending on the type of settlement. The percentage of vaccinated people in these contexts at the beginning of October range between 14.4% and 55.5%, underlining an important gap with the vaccination rate of Italy's population, which is close to 80%. The data also show that particular attention must be paid to the transiting and irregular people as they are more at risk for a lack of access to vaccination. With this study, in which we provide recommendations that integrate MEDU's fieldwork experience with the advice of the Framework report, we hope we can help those who work in similar contexts, to carry out a fair and effective vaccination campaign.

Intensive Care Patients from the First COVID-19 Wave: One-Year Survival after Tocilizumab Treatment.

INTRODUCTION: An infection by COVID-19 triggers a dangerous cytokine storm, so tocilizumab has been introduced in Italy as an agent blocking the cytokine storm. This paper aims to describe the one-year survival of ICU patients treated with tocilizumab. METHODS: This observational study enrolled all patients confirmed to be infected by COVID-19 who were admitted to the ICU in our center. We offered tocilizumab to all non-septic patients if they did not present any contraindications. RESULTS: We enrolled 68 ICU patients in our center on 72 occasions during the enrollment period; we excluded four patients due to study criteria. The one-year mortality hazard ratio of treated patients was 0.64, with a confidence interval of 0.31 to 1.19, with p = 0.169. Among the survivors, 32 of 35 patients answered the phone interview (14 patients in the treated group and 18 in the untreated group); overall, the effect of COVID-19 on quality of life was 58.14%. These effects were lower in the tocilizumab group, with p = 0.016 *. CONCLUSIONS: Our observational data follow the most relevant largest trial. Patients treated with tocilizumab had lower rates of new-onset symptoms later COVID-19 ICU hospitalizations. As reported by recent medical literature, the presence of these symptoms suggests that a follow-up program for these types of patients could be useful.

How Artificial Intelligence and New Technologies Can Help the Management of the COVID-19 Pandemic.

The COVID-19 pandemic has worked as a catalyst, pushing governments, private companies, and healthcare facilities to design, develop, and adopt innovative solutions to control it, as is often the case when people are driven by necessity. After 18 months since the first case, it is time to think about the pros and cons of such technologies, including artificial intelligence-which is probably the most complex and misunderstood by non-specialists-in order to get the most out of them, and to suggest future improvements and proper adoption. The aim of this narrative review was to select the relevant papers that directly address the adoption of artificial intelligence and new technologies in the management of pandemics and communicable diseases such as SARS-CoV-2: environmental measures; acquisition and sharing of knowledge in the general population and among clinicians; development and management of drugs and vaccines; remote psychological support of patients; remote monitoring, diagnosis, and follow-up; and maximization and rationalization of human and material resources in the hospital environment.

Mild to Severe Neurological Manifestations of COVID-19: Cases Reports.

The main focus of Coronavirus disease 2019 (COVID-19) infection is pulmonary complications through virus-related neurological manifestations, ranging from mild to severe, such as encephalitis, cerebral thrombosis, neurocognitive (dementia-like) syndrome, and delirium. The hospital screening procedures for quickly recognizing neurological manifestations of COVID-19 are often complicated by other coexisting symptoms and can be obscured by the deep sedation procedures required for critically ill patients. Here, we present two different case-reports of COVID-19 patients, describing neurological complications, diagnostic imaging such as olfactory bulb damage (a mild and unclear underestimated complication) and a severe and sudden thrombotic stroke complicated with hemorrhage with a low-level cytokine storm and respiratory symptom resolution. We discuss the possible mechanisms of virus entrance, together with the causes of COVID-19-related encephalitis, olfactory bulb damage, ischemic stroke, and intracranial hemorrhage.

The effects of the general anesthetic sevoflurane on neurotransmission: an experimental and computational study.

The brain functions can be reversibly modulated by the action of general anesthetics. Despite a wide number of pharmacological studies, an extensive analysis of the cellular determinants of anesthesia at the microcircuits level is still missing. Here, by combining patch-clamp recordings and mathematical modeling, we examined the impact of sevoflurane, a general anesthetic widely employed in the clinical practice, on neuronal communication. The cerebellar microcircuit was used as a benchmark to analyze the action mechanisms of sevoflurane while a biologically realistic mathematical model was employed to explore at fine grain the molecular targets of anesthetic analyzing its impact on neuronal activity. The sevoflurane altered neurotransmission by strongly increasing GABAergic inhibition while decreasing glutamatergic NMDA activity. These changes caused a notable reduction of spike discharge in cerebellar granule cells (GrCs) following repetitive activation by excitatory mossy fibers (mfs). Unexpectedly, sevoflurane altered GrCs intrinsic excitability promoting action potential generation. Computational modelling revealed that this effect was triggered by an acceleration of persistent sodium current kinetics and by an increase in voltage dependent potassium current conductance. The overall effect was a reduced variability of GrCs responses elicited by mfs supporting the idea that sevoflurane shapes neuronal communication without silencing neural circuits.

Hemoadsorption cartridge and coronavirus disease 2019 infections: A case report and brief literature review.

The cytokine storm has been frequently reported to occur in patients with severe coronavirus disease 2019 (COVID-19). Data from the literature suggest that elevated levels of inflammatory mediators, such as interleukin (IL)-6, IL-8, and tumor necrosis factor, indicate a severe course or the fatality of the disease. Several therapeutic options have been employed to treat critically ill patients, including hemoadsorption of inflammatory mediators. We here present a case of severe acute respiratory syndrome caused by COVID-19 and acute renal failure. The patient was admitted to our intensive care unit and treated with mechanical ventilation, renal replacement therapy, and hemoadsorption to reduce the cytokine release syndrome, which plays a fundamental role in the clinical presentation of COVID-19 patients. We also discuss the potential advantages of reducing cytokine plasma levels using a hemoadsorption cartridge.

Patterns and predictors of PTSD in treatment-seeking African refugees and asylum seekers: A latent class analysis.

BACKGROUND: Despite the empirical and clinical relevance of understanding posttraumatic stress disorder (PTSD) heterogeneity in refugees and asylum-seekers, very few studies have examined the manner in which PTSD symptoms manifest in such populations. AIMS: This study sought to investigate patterns and predictors of DSM-5 PTSD in a treatment-seeking sample of African refugees. METHODS: Participants were 122 African refugees and asylum-seekers living in Italy who completed measures of trauma exposure and PTSD symptoms. Latent class analysis (LCA) was used to identify PTSD symptom profiles, and predictors of class membership were identified via multinomial logistic regression. RESULTS: Among participants, 79.5% had a probable diagnosis of PTSD. Three PTSD classes were identified by LCA: Pervasive (32.0%) with high probabilities of all symptoms, high-Threat (45.9%) with higher probabilities of intrusions and avoidance symptoms, moderate-Avoidance (22.1%) with high probability of thoughts/feelings avoidance. None of the examined variables (legal status, gender, age, education, months spent in Italy, number of traumatic events, employment) significantly predicted class membership with the relevant exception of reception conditions. Specifically, living in large reception centres (over 1,000 people) significantly predicted Pervasive PTSD class membership compared to high/Threat PTSD class and to moderate/Avoidance class. CONCLUSION: This study provides evidence for distinct patterns of PTSD symptomatology in refugees and asylum seekers. We identified three classes which present both qualitative and quantitative differences in symptoms: Pervasive class, high-Threat class and a new moderate class, characterised by avoidance symptoms. Reception conditions contributed to the emergence of the Pervasive PTSD profile characterised by the symptoms highest severity. These findings highlight that stressors in the post-migration environment, as inadequate reception conditions in large facilities, may have detrimental effect on refugees' mental health. We emphasise the importance for host countries to implement reception models that provide effective protection and integration to this vulnerable population.

Why should you stay one night? Prospective observational study of enhanced recovery in elderly patients.

BACKGROUND: Delirium is a severe condition that can arise in many contexts during hospitalization. The aim of this research was to measure the incidence of postoperative delirium in patients aged 75 years or older, with the exclusion of those with preexisting neurocognitive disorders (NCD), who underwent fast-track, moderate surgery. METHODS: We conducted a prospective cohort study with patients ≥ 75 years of age who were eligible for fast-track, moderate surgery, without severe dementia, with a planned hospitalization of 24 h and with a physical status varying from very fit to vulnerable. The 4-item confusion assessment method (CAM4) was used to measure delirium. RESULTS: Of the 209 eligible patients, 195 subjects were enrolled in the study. The percentage of the population with a CAM4 score above 0 before surgery was 2.56%; after surgery, the percentage was 10.25%; and on the following day, the percentage was 4.61%. There was a statistically significant difference in the CAM4 scores between immediately after surgery and at 24 h after surgery (p = 0.0172). CONCLUSION: The data from this study support an enhanced recovery approach for elderly patients, in which after a minor surgical procedure with anaesthesia, a recovery period of one night in the hospital can contribute to normalizing the CAM4 score and reducing the incidence of delirium.

Keyboard Contamination in Intensive Care Unit: Is Cleaning Enough? Prospective Research of In Situ Effectiveness of a Tea Tree Oil (KTEO) Film.

After the SARS-CoV-2 pandemic, disinfection practices and microbial load reduction have become even more important and rigorous. To determine the contamination of keyboard surface and the relative risk to transfer healthcare-associated pathogens to susceptible patients, as it frequently happens in Intensive Care Unit (ICU), a standard keyboard (SK), a cleanable keyless keyboard (KK) with smooth surface and a standard keyboard coated with a 3 M Tegaderm® film added with active essential oil (tea tree oil) (KTEO) were tested. S. aureus, including MRSA strains, were detected in ICU, with values ranging from 15% to 57%. Gram negative strains belonging to the Enterobacteriaceae family were also found with values ranging from 14% to 71%. Similar Gram positive and Gram negative strains were found on all surfaces, but with low percentage, and only environmental bacteria were detected using the settling plates method. The Microbial Challenge Test performed on KTEO showed high rates of decrease for all the pathogens with statistical significance both at 24 and 48 h (p = 0.003* and p = 0.040*, respectively). Our results suggest that the use of KTEO may be a feasible strategy for reducing the transmission of pathogens in health care setting and may be complementary to surface cleaning protocols.

[CoViD-19 in Italy: homeless population needs protection.] / CoViD-19 in Italia: la popolazione senza dimora ha bisogno di protezione.

Italy is one of the most affected countries by the new coronavirus (CoViD-19) pandemic. In the country, there are an estimated 49,000-52,000 homeless people. People experiencing homelessness are among the potentially most vulnerable groups to the CoViD-19. Despite this, in Italy there is a worrying delay in implementation of a national coordinated strategy to protect homeless people from the potentially devastating effects caused by CoViD-19. In order to contain the epidemic among the most vulnerable people, we propose a short operational agenda based on the field experience of the medical-humanitarian organization Medici per i Diritti Umani (Doctors for Human Rights, Italy - MEDU) as well as on the example of initiatives taken by other countries.

CoViD-19 in Italy: homeless population needs protection.

Italy is one of the most affected countries by the new coronavirus (CoViD-19) pandemic. In the country, there are an estimated 49,000-52,000 homeless people. People experiencing homelessness are among the potentially most vulnerable groups to the CoViD-19. Despite this, in Italy there is a worrying delay in implementation of a national coordinated strategy to protect homeless people from the potentially devastating effects caused by CoViD-19. In order to contain the epidemic among the most vulnerable people, we propose a short operational agenda based on the field experience of the medical-humanitarian organization Medici per i Diritti Umani (Doctors for Human Rights, Italy - MEDU) as well as on the example of initiatives taken by other countries.