The Fenice project to evaluate and improve the quality of healthcare in high-dependency care units: results after the first year.

High-Dependency care Units (HDUs) have been introduced worldwide as intermediate wards between Intensive Care Units (ICUs) and general wards. Performing a comparative assessment of the quality of care in HDU is challenging because there are no uniform standards and heterogeneity among centers is wide. The Fenice network promoted a prospective cohort study to assess the quality of care provided by HDUs in Italy. This work aims at describing the structural characteristics and admitted patients of Italian HDUs. All Italian HDUs affiliated to emergency departments were eligible to participate in the study. Participating centers reported detailed structural information and prospectively collected data on all admitted adult patients. Patients' data are presented overall and analyzed to evaluate the heterogeneity across the participating centers. A total of 12 HDUs participated in the study and enrolled 3670 patients. Patients were aged 68 years on average, had multiple comorbidities and were on major chronic therapies. Several admitted patients had at least one organ failure (39%). Mortality in HDU was 8.4%, raising to 16.6% in hospital. While most patients were transferred to general wards, a small proportion required ICU transfer (3.9%) and a large group was discharged directly home from the HDU (31%). The expertise of HDUs in managing complex and fragile patients is supported by both the available equipment and the characteristics of admitted patients. The limited proportion of patients transferred to ICUs supports the hypothesis of preventing of ICU admissions. The heterogeneity of HDU admissions requires further research to define meaningful patients' outcomes to be used by quality-of-care assessment programs.

Serendipitous Adrenal Hyperplasia in Patients Admitted to the Emergency Department for Suspected SARS-CoV-2 Infection is Linked to Increased Mortality.

BACKGROUND: Few data are available on adrenal morphology in patients with acute diseases, although it is known that endogenous glucocorticoids are essential for survival under stress conditions and that an adequate response is driven by activation of the hypothalamic-pituitary-adrenal (HPA) axis. AIMS: The aim of this study was to assess adrenal morphology in patients with acute disease compared with patients with non-acute disease. METHODS: This cross-sectional study included: 402 patients admitted to the emergency department (ED) for suspected SARS-CoV-2 infection (March-May, 2020) [main cohort]; 200 patients admitted to the ED for acute conditions (December 2018-February 2019) [control group A]; 200 outpatients who underwent radiological evaluation of non-acute conditions (January-February 2019) [control group B]. Chest and/or abdominal CT scans were reviewed to identify adrenal nodules or hyperplasia. RESULTS: In the main cohort, altered adrenal morphology was found in 24.9% of the patients (15.4% adrenal hyperplasia; 9.5% adrenal nodules). The frequency of adrenal hyperplasia was higher both in the main cohort (15.4%) and control group A (15.5%) compared to control group B (8.5%; p = 0.02 and p = 0.03, respectively). In the main cohort, 14.9% patients died within 30 d. According to a multivariate analysis, adrenal hyperplasia was an independent risk factor for mortality (p = 0.04), as were older age (p <0.001) and active cancer (p = 0.01). CONCLUSIONS: The notable frequency of adrenal hyperplasia in patients with acute diseases suggests an exaggerated activation of the HPA axis due to stressful conditions. The increased risk of short-term mortality found in patients with adrenal hyperplasia suggests that it may be a possible hallmark of worse prognosis.

Effects of seasonality in emergency admissions for mental disorders: two years of clinical experience.

OBJECTIVES: This retrospective study, conducted in Turin, Italy, between January 2021 and February 2023, investigates the impact of seasonal heatwaves on emergency department (ED) admissions for mental disorders. METHODS: Through the analysis of data from 2,854 patients, this research found a significant link between the occurrence of heatwaves, especially from June to August, and an elevated rate of ED admissions for psychiatric conditions. RESULTS: The data indicate a clear seasonal pattern, with admissions peaking during the hot months and diminishing in the colder months. Particularly, the study delineates an enhanced correlation between heatwaves and admissions for severe psychiatric disorders, such as bipolar disorder, major depression, personality disorders, and schizophrenia, accounting for 1,868 of the cases examined. This correlation was most pronounced among individuals aged 50-59 years. CONCLUSIONS: The results of this study highlight a critical association between the incidence of seasonal heatwaves and an uptick in ED visits for psychiatric disorders, with a distinct impact on severe cases. It underscores the urgency for healthcare systems to anticipate seasonal fluctuations in psychiatric ED admissions and to allocate resources effectively to support patients during peak periods.

Longitudinal Assessment of Mental Health Consequences of the COVID-19 Pandemic Long-Term Exposure on Health Care Workers from a North West Italian Hospital.

OBJECTIVE: To assess individual variation in anxiety, stress disorder, depression, insomnia, burnout, and resilience in health care workers (HCWs), 12 and 18 months after the beginning of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic. METHODS: Prospective longitudinal study. RESULTS: A total of 207 HCWs (74% female, 46% physicians, 44% nurses) answered; 50% scored over the cut-off for anxiety (GAD-7), 66% for PCL-C, 41% for depression (PHQ-9), 25% for ISI, and 15% started sleep inducers; 52% showed emotional exhaustion (EE), 68% detachment (DE), 39% professional efficacy (EF) at MBI; 27% completed the follow-up questionnaire 6 months later, showing a significant reduction in nearly all scores (GAD-7 median 11[5-15] vs 7[4-12] (P < 0.001); PCL-C 43[30-58] vs 37[24-50] (P < 0.05); PHQ-9 10[4-16] vs 6[3-12] (P < 0.001); ISI 10[4-15] vs 7[5-12](NS); MBI EE 25[16-35] vs 23 [15-31] (NS), DE 13[8-17] vs 12[8-17], EF 29[25-34] vs 30[25-34]. Living in a flat (OR 2.27 [1.10-4.81], high-intensity-of-care working (2.83 [1.15-7.16] increased risk of anxiety (GAD-7); age between 31-40 y (OR 2.8 [1.11-7.68], being a nurse (OR 3.56 [1.59-8.36] and high-intensity-of-care working (OR 8.43 [2.92-26.8] increased risk of pathological stress (PCL-C). CONCLUSIONS: Nearly half of HCWs showed psychological distress, especially nurses, women, and the youngest. A mandatory job change, increasing intensity of care, working in a COVID-19 department, and being infected were negative factors; having a partner and living in a detached house were protective. Six months later, all the psychological domains showed individual improvement.

Improvements throughout the Three Waves of COVID-19 Pandemic: Results from 4 Million Inhabitants of North-West Italy.

At the very beginning of the European spread of SARS-CoV-2, Piedmont was one of the most affected regions in Italy, with a strong impact on healthcare organizations. In this study, we evaluated the characteristics and outcomes of the COVID-19 patients in an entire region during the first three pandemic waves, identifying similarities and differences in the SARS-CoV-2 epidemic's timeline. We collected the health-administrative data of all the Piedmont COVID-19 patients infected during the first three pandemic waves (1 March 2020-15 April 2020; 15 October 2020-15 December 2020; 1 March 2021-15 April 2021, respectively). We compared differences among the waves in subjects positive for SARS-CoV-2 and in patients admitted to ICU. Overall, 18.621 subjects tested positive during the first wave (405 patients/day), 144.350 (2366.4 patients/day) in the second, and 81.823 (1778.8 patients/day) in the third. In the second and third waves, we observed a reduction in median age, comorbidity burden, mortality in outpatients, inpatients, and patients admitted to ICU, in intubation, invasive ventilation and tracheostomy, and a parallel increase in the use of CPAP. Our study confirmed a trend towards younger and healthier patients over time but also showed an independent effect of the period on mortality and ICU admission. The appearance of new viral variants, the starting of vaccination, and organizational improvements in tracking, outpatients and inpatients management could have influenced these trends.

Epilepsy and syncope - A case report and narrative review of arrhythmias connected to temporal lobe epilepsy.

We present the case of a 28-years-old male presenting to the Emergency Department for relapsing episodes of "déjà vu" and syncope. After a diagnostic workup by a multidisciplinary team, the simultaneous EEG and ECG monitoring showed an asystole associated with EEG anomalies in right fronto-temporal region of the brain. The brain MRI revealed an ischemic lesion concordant with EEG anomalies. In the suspicion of an ictal asystole, we decided not to implant a permanent pacemaker as the first line therapy but started a targeted anti-epileptic therapy. No more syncopal episodes nor dysrhythmias occurred during recovery and almost two years follow-up.

Prognostic Value of Mid-Regional Proadrenomedullin Sampled at Presentation and after 72 Hours in Septic Patients Presenting to the Emergency Department: An Observational Two-Center Study.

The prognostic value of mid-regional proADM (MR-proADM) in septic patients presenting to the emergency department (ED) is not well established. In this prospective observational study enrolling septic patients evaluated in two EDs, MR-proADM was measured at arrival (t0) and after 72 h (t72). MR-proADM%change was calculated as follows: (MR-proADMt72h - MR-proADMt0)/MR-proADMt0. In total, 147 patients were included in the study, including 109 with a final diagnosis of sepsis and 38 with septic shock, according to the Sepsis-3 criteria. The overall 28-day mortality (outcome) rate was 12.9%. The AUC for outcome prognostication was 0.66 (95% CI 0.51-0.80) for MR-proADMt0, 0.77 (95% CI 0.63-0.92) for MR-proADMt72 and 0.74 (95% CI 0.64-0.84) for MR-proADM%change. MR-proADMt0 ≥ 2.78 nmol/L, MR-proADMt72 ≥ 2.7 nmol/L and MR-proADM%change ≥ -15.2% showed statistically significant log-rank test results and sensitivity/specificity of 81/65%, 69/80% and 75/70% respectively. In regression analysis, MR-proADM%change was a significant outcome predictor both in univariate and multivariate analysis, after adjustment for age, SOFA and APACHEII scores, providing up to 80% of added prognostic value. In conclusion, time trends of MR-proADM may provide additional insights for patient risk stratification over single sampling. MR-proADM levels sampled both at presentation and after 72 h predicted 28-day survival in septic patients presenting to the ED.

The broad spectrum of COVID-like patients initially negative at RT-PCR testing: a cohort study.

BACKGROUND: Patients that arrive in the emergency department (ED) with COVID-19-like syndromes testing negative at the first RT-PCR represent a clinical challenge because of the lack of evidence about their management available in the literature. Our first aim was to quantify the proportion of patients testing negative at the first RT-PCR performed in our Emergency Department (ED) that were confirmed as having COVID-19 at the end of hospitalization by clinical judgment or by any subsequent microbiological testing. Secondly, we wanted to identify which variables that were available in the first assessment (ED variables) would have been useful in predicting patients, who at the end of the hospital stay were confirmed as having COVID-19 (false-negative at the first RT-PCR). METHODS: We retrospectively collected data of 115 negative patients from2020, March 1st to 2020, May 15th. Three experts revised patients' charts collecting information on the whole hospital stay and defining patients as COVID-19 or NOT-COVID-19. We compared ED variables in the two groups by univariate analysis and logistic regression. RESULTS: We classified 66 patients as COVID-19 and identified the other 49 as having a differential diagnosis (NOT-COVID), with a concordance between the three experts of 0.77 (95% confidence interval (95%CI) 0.66- 0.73). Only 15% of patients tested positive to a subsequent RT-PCR test, accounting for 25% of the clinically suspected. Having fever (odds ratio (OR) 3.32, (95%CI 0.97-12.31), p = 0.06), showing a typical pattern at the first lung ultrasound (OR 6.09, (95%CI 0.87-54.65), p = 0.08) or computed tomography scan (OR 4.18, (95%CI 1.11-17.86), p = 0.04) were associated with a higher probability of having COVID-19. CONCLUSIONS: In patients admitted to ED with COVID-19 symptoms and negative RT-PCR a comprehensive clinical evaluation integrated with lung ultrasound and computed tomography could help to detect COVID-19 patients with a false negative RT-PCR result.

Emergency room comprehensive assessment of demographic, radiological, laboratory and clinical data of patients with COVID-19: determination of its prognostic value for in-hospital mortality.

Mortality risk in COVID-19 patients is determined by several factors. The aim of our study was to adopt an integrated approach based on clinical, laboratory and chest x-ray (CXR) findings collected at the patient's admission to Emergency Room (ER) to identify prognostic factors. Retrospective study on 346 consecutive patients admitted to the ER of two North-Western Italy hospitals between March 9 and April 10, 2020 with clinical suspicion of COVID-19 confirmed by reverse transcriptase-polymerase reaction chain test (RT-PCR), CXR performed within 24 h (analyzed with two different scores) and recorded prognosis. Clinical and laboratory data were collected. Statistical analysis on the features of 83 in-hospital dead vs 263 recovered patients was performed with univariate (uBLR), multivariate binary logistic regression (mBLR) and ROC curve analysis. uBLR identified significant differences for several variables, most of them intertwined by multiple correlations. mBLR recognized as significant independent predictors for in-hospital mortality age > 75 years, C-reactive protein (CRP) > 60 mg/L, PaO2/FiO2 ratio (P/F) < 250 and CXR "Brixia score" > 7. Among the patients with at least two predictors, the in-hospital mortality rate was 58% against 6% for others [p < 0.0001; RR = 7.6 (4.4-13)]. Patients over 75 years had three other predictors in 35% cases against 10% for others [p < 0.0001, RR = 3.5 (1.9-6.4)]. The greatest risk of death from COVID-19 was age above 75 years, worsened by elevated CRP and CXR score and reduced P/F. Prompt determination of these data at admission to the emergency department could improve COVID-19 pretreatment risk stratification.

Humoral immune response to SARS-CoV-2 in five different groups of individuals at different environmental and professional risk of infection.

It is partially unknown whether the immune response to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection persists with time. To address this issue, we detected the presence of SARS-CoV-2 antibodies in different groups of individuals previously diagnosed with COVID-19 disease (group 1 and 2), or potentially exposed to SARS-CoV-2 infection (group 3 and 4), and in a representative group of individuals with limited environmental exposure to the virus due to lockdown restrictions (group 5). The primary outcome was specific anti-SARS-CoV-2 antibodies in the different groups assessed by qualitative and quantitative analysis at baseline, 3 and 6 months follow-up. The seroconversion rate at baseline test was 95% in group 1, 61% in group 2, 40% in group 3, 17% in group 4 and 3% in group 5. Multivariate logistic regression analysis revealed male gender, close COVID-19 contact and presence of COVID-19 related symptoms strongly associated with serological positivity. The percentage of positive individuals as assessed by the qualitative and quantitative tests was superimposable. At the quantitative test, the median level of SARS-CoV-2 antibody levels measured in positive cases retested at 6-months increased significantly from baseline. The study indicates that assessing antibody response to SARS-CoV-2 through qualitative and quantitative testing is a reliable disease surveillance tool.

Descriptive Comparative Analysis of Patients With Cancer Referring to the Emergency Department of an Italian University Hospital Across the Severe Acute Respiratory Syndrome Coronavirus 2 Waves.

PURPOSE: COVID-19 cancer patients (C19-CP) represent a population at high risk for mortality, whose clinical characteristics are still unknown in the second SARS-CoV-2 wave. The aim of this retrospective study was to compare epidemiology and clinical presentation of C19-CP referring to the emergency department (ED) of our institution (San Luigi Gonzaga University Hospital, Orbassano, Turin, Italy), in a 3-week observation period of the first and second COVID-19 waves, starting from the introduction of the corresponding national lockdowns. METHODS: We retrieved ED admissions from March 9 to 29, 2020, for the first wave, and from October 24 to November 13, 2020, for the second wave. We collected clinical characteristics of consecutive patients with molecularly confirmed SARS-CoV-2 infection. We also considered untested or SARS-CoV-2-negative cancer patients referring to the ED in the reference time frames. RESULTS: C19-CP in the second wave exceeded those in the first wave despite the nonsignificant difference (39 of 576 v 8 of 163; P = .5). Compared with nononcological patients, C19-CP were older (median age 70 years [interquartile range 61-77] v 60 years [interquartile range 45-73]; P = .02) and presented more often with ≥ 2 comorbidities (40.4% v 24.3%; P = .02). Compared with nononcological patients, in C19-CP, respiratory failure (29 of 47 v 321 of 692; P = .049) and hospitalization (37 of 47 v 363 of 692; P = .0004) were higher, with comparable frequencies across the waves. Five of 24 and 10 of 27 hospitalized cancer patients in the first and second waves developed SARS-CoV-2 infection during hospitalization. CONCLUSION: C19-CP were a vulnerable population, irrespective of the COVID-19 waves. This highlights the need to prioritize vaccinations in oncological patients to safeguard and guarantee optimal anticancer care.

SARS-CoV-2 Infection in Cancer Patients: A Picture of an Italian Onco-Covid Unit.

Background: The world, and Italy on the front lines, has experienced a major medical emergency due to the novel coronavirus outbreak. Cancer patients are one of the potentially most vulnerable cohorts of people, but data about their management are still few. Patients and Methods: In this monocentric retrospective study we included all SARS-CoV-2 oncological patients accepted, between March 27th and April 19th 2020, at the Onco-COVID Unit at San Luigi Gonzaga Hospital, one of the few Italian oncological-COVID wards. Data were obtained from medical records. Results: Eighteen cancer patients with COVID-19 were included. The mean (±SD) age of patients was 67 ± 14 years, 89% were men. Seven (39%) developed infection in communities and 11 (61%) during hospitalization. Lung cancer was the most frequent type of cancer (10, 56%). Seven patients (39%) were symptomatic for COVID-19 at the time of diagnosis and symptoms began 2 (±2) days before. The most common were shortness of breath and diarrhea. Fever was present in 5 patients (28%). Among the 11 asymptomatic patients, 8 (73%) became symptomatic during the hospitalization (mean time of symptoms onset 4 days ±4). Six patients (33%) were on active anti-tumor treatment: 2 (33%) received anti-tumor therapy within 2 weeks before the infection diagnosis and 2 (33%) continued oncological treatment after SARS-CoV-2 positivity. Eight (44%) patients died within a mean of 12 days (±8) from the infection diagnosis. Conclusions: Our series confirms the high mortality among cancer patients with COVID-19. The presence of asymptomatic cases evidences that typical symptoms and fever are not the only parameters to suspect the infection. The Onco-Covid unit suggests the importance of a tailored and holistic approach, even in this difficult situation.

Baseline chest X-ray in coronavirus disease 19 (COVID-19) patients: association with clinical and laboratory data.

PURPOSE: To assess the reliability of CXR and to describe CXR findings and clinical and laboratory characteristics associated with positive and negative CXR. METHODS: Retrospective two-center study on consecutive patients admitted to the emergency department of two north-western Italian hospitals in March 2020 with clinical suspicion of COVID-19 confirmed by RT-PCR and who underwent CXR within 24 h of the swab execution. 260 patients (61% male, 62.8 ± 15.8 year) were enrolled. CXRs were rated as positive (CXR+) or negative (CXR-), and features reported included presence and distribution of airspace opacities, pleural effusion and reduction in lung volumes. Clinical and laboratory data were collected. Statistical analysis was performed with nonparametric tests, binary logistic regression (BLR) and ROC curve analysis. RESULTS: Sensitivity of CXR was 61.1% (95%CI 55-67%) with a typical presence of bilateral (62.3%) airspace opacification, more often with a lower zone (88.7%) and peripheral (43.4%) distribution. At univariate analysis, several factors were found to differ significantly between CXR+ and CXR-. The BLR confirmed as significant predictors only lactate dehydrogenase (LDH), C-reactive protein (CRP) and interval between the onset of symptoms and the execution of CXR. The ROC curve procedure determined that CRX+ was associated with LDH > 500 UI/L (AUC = 0.878), CRP > 30 mg/L (AUC = 0.830) and interval between the onset of symptoms and the execution of CXR > 4 days (AUC = 0.75). The presence of two out of three of the above-mentioned predictors resulted in CXR+ in 92.5% of cases, whereas their absence in 7.4%. CONCLUSION: CXR has a low sensitivity. LDH, CRP and interval between the onset of symptoms and the execution of CXR are major predictors for a positive CXR.

Agent-oriented Decision Support System for Business Processes Management with Genetic Algorithm Optimization: an Application in Healthcare.

Agent-based approaches have been known to be appropriate as systems and methods in medical administration in recent years. The increased attention to processes led to the recent growth of Business Process Management discipline, which quite exclusively adopt discrete-event modeling and simulation. This paper proposes a medical agent-oriented decision support system to integrate the achievements from management science, agent-based modeling, and artificial intelligence. In particular, we performed a practical application concerning a hospital emergency department medical system. We adopt the widely used multi-agent programmable modeling environment NetLogo. First, we demonstrated the ability to perform a clear representation of healthcare processes where agents (i.e., patients and hospital staff) operate in a 3D environment. This model allows performing a traditional what-if scenario analysis. Second, we explore how performing intelligent management of patients by applying genetic algorithms to find the criteria for the selection process of the subjects in the admission procedure. The results are encouraging towards a more extensive application of agent-oriented methodologies in healthcare management.

Clinical characteristics and management of COVID-19 patients accessing the emergency department in a hospital in Northern Italy in March and April 2020.

BACKGROUND: the emergency due to SARS-CoV-2 pandemic struck the national and regional health system that needed an effort to reorganise and increase resources to cope with a sudden, uncertain, and previously unknown situation. This study was conducted in the immediate aftermath of this difficult period. OBJECTIVES: to describe clinical characteristics, short-term outcomes, and management of SARS-CoV-2 positive patients that accessed the emergency department (ED) of the San Luigi Gonzaga hospital of Orbassano (Turin district, Piedmont Region, Northern Italy) in March and April 2020. Furthermore, this study aimed at investigating if a difference in patients characteristics, clinical management, and outcomes was present during time. DESIGN: comparison of different periods in a clinical cohort. SETTING AND PARTICIPANTS: for each patient who accessed the ED and tested positive for SARS-CoV-2 swab, the ED medical record was collected and a descriptive analysis was performed on demographical characteristics, pre-existing comorbidities, parameters measured at triage, imaging exams results, lab tests results, separately for patients admitted at the ED in four different periods. MAIN OUTCOME MEASURES: discharge from ED, admission to hospital wards (low and high intensity of care), short term in-hospital mortality, hospital length of stay. The association between patients' characteristics and the main outcomes was measured using multivariable logistic models. RESULTS: age of patients increased significantly from March to April, together with female prevalence and associated comorbid conditions. A significant difference in symptoms at presentation was not observed nor it was in laboratory test results. Severity at triage and need of intensive care resources were higher in the first weeks, together with the typical clinical presentation with respiratory failure and imaging with signs of bilateral interstitial pneumonia. Accordingly, in-hospital mortality was higher in the first period. Nevertheless, nearly half of patients in the first period were discharged directly from ED showing mild COVID-19 cases. On the contrary, in April an increasing need of hospitalisation in low intensity of care beds was observed, whereas mild cases stopped to access the ED. CONCLUSIONS: the results of this study suggest that in few weeks of COVID-19 epidemic both management of the patients at the hospital level - and probably at territorial level resulting in a different population who accessed to the ED - and the clinical characteristics of the COVID-19 patients changed.

Determination of salivary cortisol to assess time-related changes of the adrenal response to stress in critically ill patients.

BACKGROUND: The value of salivary cortisol measurement to study stress-related adrenal response is controversial. The study aim was to assess the role of salivary cortisol measurement to detect time-related changes of adrenal response in critically ill patients. PATIENTS AND METHODS: Patients with organ failure, sepsis or trauma were prospectively recruited in the Emergency Department. Serum and salivary cortisol were measured at baseline (T0) and after 48 h (T48). In 33 patients ACTH test was also done. RESULTS: Fifty-five patients were studied and classified as septic (22) or non-septic (33). We found a significant correlation between serum and salivary cortisol at T0 and T48. No patient had baseline serum cortisol < 276 nmol/L and salivary cortisol significantly decreased at T48 in almost all patients. A delta serum cortisol < 250 nmol/L after ACTH was found in only 4 patients who showed elevated baseline cortisol levels. CONCLUSION: We found that reduced baseline and post-ACTH cortisol levels are uncommon in our samples. In patients able to provide adequate saliva samples, salivary cortisol may be used to check the degree of stress-induced response and appears as a suitable tool for multiple measurements over time.

The Mass Casualty Incident in Turin, 2017: A Case Study of Disaster Responders' Mental Health in an Italian Level I Hospital.

OBJECTIVE: To assess the psychological impact of a mass casualty incident (MCI) in a subset of personnel in a level I hospital. METHODS: Emergency department staff responded to an MCI in June 2017 in Turin, Italy by an unexpected sudden surge of casualties following a stampede (mass escape). Participants completed the Psychological Simple Triage and Rapid Treatment Responder Self-Triage System (PsySTART-R), which classified the potential risk of psychological distress in "no risk" versus "at risk" categorization and identified a range of impacts aggregated for the population of medical responders. Participants were administered a questionnaire on the perceived effectiveness of management of the MCI. Two months later, the participants were evaluated using the Hospital Anxiety and Depression Scale (HADS), the Kessler Psychological Distress Scale (K6), and the Posttraumatic Stress Disorder Checklist (PCL-5). RESULTS: The majority of the responders were classified as "no risk" by the PsySTART-R; no significant differences on HADS, K6, and PCL-5 were found in the participants grouped by the PsySTART-R categories. The personnel acquainted to work in emergency contexts (emergency department and intensive care unit) scored significantly lower in the HADS than the personnel usually working in other wards. The number of positive PsySTART-R criteria correlated with the HADS depression score. CONCLUSIONS: Most of the adverse psychological implications of the MCI were well handled and averted by the responders. A possible explanation could be related to factors such as the clinical condition of the victims (most were not severely injured, no fatalities), the small number of casualties (87) brought to the hospital, the event not being considered life-threatening, and its brief duration, among others. Responders had mainly to cope with a sudden surge in casualties and with organizational issues.