Anti-rubella seroprevalence assessment in an adult sample population in Italy.

Introduction: Despite global immunization efforts, rubella remains a public health concern, particularly in high- and middle-income countries. This study focused on rubella seroprevalence in the province of Florence, Italy, aiming to identify susceptibility clusters, especially among women in their childbearing age. Methods: A cross-sectional study was conducted between April 2018 and December 2019, enrolling 430 adult subjects (age over 18 years). Serum samples were collected, and anti-rubella antibodies were quantified using the ELISA test. Data were analyzed descriptively and compared by sex, nationality, and age groups using statistical tests. Results: The overall rubella seroprevalence was high (92.3%), with no significant differences between genders or nationalities. Among childbearing-age females (18-49 years), the highest seroprevalence was observed in the 30-39 age group (94.1%). However, susceptibility clusters exceeding the 5% threshold set by WHO were identified, especially in females aged 40-49 years (7.0%). Conclusions: Despite high overall seroprevalence, the study identified pockets of susceptibility, even in childbearing age women. Continuous monitoring, targeted immunization strategies, and public health interventions are recommended to maintain rubella elimination, emphasizing the importance of sustained vaccination efforts to protect vulnerable populations.

The clinical trial activation process: a case study of an Italian public hospital.

BACKGROUND/AIMS: In order to make the centers more attractive to trial sponsors, in recent years, some research institutions around the world have pursued projects to reorganize the pathway of trial activation, developing new organizational models to improve the activation process and reduce its times. This study aims at analyzing and reorganizing the start-up phase of trials conducted at the Research and Innovation Department (DAIRI) of the Public Hospital of Alessandria (Italy). METHODS: A project was carried out to reorganize the trial authorization process at DAIRI by involving the three facilities responsible for this pathway: clinical trial center (CTC), ethics committee secretariat (ESC), and administrative coordination (AC). Lean Thinking methodology was used with the A3 report tool, and the analysis was carried out by monitoring specific key performance indicators, derived from variables representing highlights of the trials' activation pathway. The project involved phases of analysis, implementation of identified countermeasures, and monitoring of timelines in eight 4-month periods. The overall mean and median values of studies activation times were calculated as well as the average times for each facility involved in the process. RESULTS: In this study, 298 studies both sponsored by research associations and industry with both observational and interventional study design were monitored. The mean trial activation time was reduced from 218 days before the project to 56 days in the last period monitored. From the first to the last monitoring period, each facility involved achieved at least a halving of the average time required to carry out its activities in the clinical trials' activation pathway (CTC: 55 days vs 23, ECS: 25 days vs 8, AC 29 days vs 10). Average activation time for studies with agreement remains longer than those without agreement (100 days vs. 46). CONCLUSIONS: The reorganization project emphasized the importance of having clinical and administrative staff specifically trained on the trial activation process. This reorganization led to the development of a standard operating procedure and a tool to monitor the time (KPIs of the process) that can also be implemented in other clinical centers.

Cerebral and systemic near infrared spectroscopy patterns in preterm infants treated by caffeine.

AIM: To investigate the effects of caffeine loading/maintenance administration on near-infrared spectroscopy cerebral, kidney and splanchnic patterns in preterm infants. METHODS: We conducted a multicentre case-control prospective study in 40 preterm infants (gestational age 29 ± 2 weeks) where each case acted as its own control. A caffeine loading dose of 20 mg/kg and a maintenance dose of 5 mg/kg after 24 h were administered intravenously. Near infrared spectroscopy monitoring parameters were monitored 30 min before, 30 min during and 180 min after caffeine therapy administration. RESULTS: A significant increase (p < 0.05) in splanchnic regional oxygenation and tissue function and a decrease (p < 0.05) in cerebral tissue function after loading dose was shown. A preferential hemodynamic redistribution from cerebral to splanchnic bloodstream was also observed. After caffeine maintenance dose regional oxygenation did not change in the monitored districts, while tissue function increased in kidney and splanchnic bloodstream. CONCLUSION: Different caffeine administration modalities affect cerebral/systemic oxygenation status, tissue function and hemodynamic pattern in preterm infants. Future studies correlating near infrared spectroscopy parameters and caffeine therapy are needed to determine the short/long-term effect of caffeine in preterm infants.

Impact of SARS-CoV2 infection on mortality and hospitalization in nursing home residents during the "Omicron era".

BACKGROUND: Widespread vaccination and emergence of less aggressive SARS-CoV2 variants may have blunted the unfavourable outcomes of COVID-19 in nursing home (NH) residents. We analysed the course of COVID-19 epidemic in NHs of Florence, Italy, during the "Omicron era" and investigated the independent effect of SARS-CoV2 infection on death and hospitalization risk. METHODS: Weekly SARS-CoV2 infection rates between November 2021 and March 2022 were calculated. Detailed clinical data were collected in a sample of NHs. RESULTS: Among 2044 residents, 667 SARS-CoV2 cases were confirmed. SARS-CoV2 incidence sharply increased during the Omicron era. Mortality rates did not differ between SARS-CoV2-positive (6.9%) and SARS-CoV2-negative residents (7.3%, p = 0.71). Chronic obstructive pulmonary disease and poor functional status, but not SARS-CoV2 infection independently predicted death and hospitalization. CONCLUSIONS: Despite that SARS-CoV2 incidence increased during the Omicron era, SARS-CoV2 infection was not a significant predictor of hospitalization and death in the NH setting.

A machine learning approach for predicting high risk hospitalized patients with COVID-19 SARS-Cov-2.

BACKGROUND: This study aimed to explore whether explainable Artificial Intelligence methods can be fruitfully used to improve the medical management of patients suffering from complex diseases, and in particular to predict the death risk in hospitalized patients with SARS-Cov-2 based on admission data. METHODS: This work is based on an observational ambispective study that comprised patients older than 18 years with a positive SARS-Cov-2 diagnosis that were admitted to the hospital Azienda Ospedaliera "SS Antonio e Biagio e Cesare Arrigo", Alessandria, Italy from February, 24 2020 to May, 31 2021, and that completed the disease treatment inside this structure. The patients'medical history, demographic, epidemiologic and clinical data were collected from the electronic medical records system and paper based medical records, entered and managed by the Clinical Study Coordinators using the REDCap electronic data capture tool patient chart. The dataset was used to train and to evaluate predictive ML models. RESULTS: We overall trained, analysed and evaluated 19 predictive models (both supervised and unsupervised) on data from 824 patients described by 43 features. We focused our attention on models that provide an explanation that is understandable and directly usable by domain experts, and compared the results against other classical machine learning approaches. Among the former, JRIP showed the best performance in 10-fold cross validation, and the best average performance in a further validation test using a different patient dataset from the beginning of the third COVID-19 wave. Moreover, JRIP showed comparable performances with other approaches that do not provide a clear and/or understandable explanation. CONCLUSIONS: The ML supervised models showed to correctly discern between low-risk and high-risk patients, even when the medical disease context is complex and the list of features is limited to information available at admission time. Furthermore, the models demonstrated to reasonably perform on a dataset from the third COVID-19 wave that was not used in the training phase. Overall, these results are remarkable: (i) from a medical point of view, these models evaluate good predictions despite the possible differences entitled with different care protocols and the possible influence of other viral variants (i.e. delta variant); (ii) from the organizational point of view, they could be used to optimize the management of health-care path at the admission time.

Long-Term Survival among Patients Hospitalized for COVID-19 during the First Three Epidemic Waves: An Observational Study in a Northern Italy Hospital.

The mortality rate of hospitalized COVID-19 patients differed strongly between the first three pandemic waves. Nevertheless, their long-term survival has been poorly assessed. The aim of this study was to compare the clinical characteristics and mortality rates of 825 patients with coronavirus disease 2019 (COVID-19) infection who were hospitalized at the Alessandria hub hospital, in Northern Italy, during the first fifty days of the first three pandemic waves. Each subject was followed in terms of vital status for six months from the date of hospital admission or until deceased. Patients admitted during the three waves differed in age (p = 0.03), disease severity (p < 0.0001), Charlson comorbidity index (p = 0.0002), oxygen therapy (p = 0.002), and invasive mechanical ventilation (p < 0.0001). By the end of follow-up, 309 deaths (38.7%) were observed, of which 186 occurred during hub hospitalization (22.5%). Deaths were distributed differently among the waves (p < 0.0001), resulting in being higher amongst those subjects admitted during the first wave. The COVID-19 infection was reported as the main cause of death and patients with a higher mortality risk were those aged ≥65 years [adjusted HR = 3.40 (95% CI 2.20-5.24)], with a higher disease severity [adjusted HR = 1.87 (95%CI 1.43-2.45)], and those requiring oxygen therapy [adjusted HR = 2.30 (95%CI 1.61-3.30)]. In conclusion, COVID-19 patients admitted to our hub hospital during the second and the third waves had a lower risk of long-term mortality than those admitted during the first. Older age, more severe disease, and the need for oxygen therapy were among the strongest risk factors for poor prognosis.

Oxidative stress and visual system: a review.

Different types of tissues respond differently to the action of oxidative stress. The visual system is very sensitive to oxidative action due to continuous exposure to light. In consideration of the growing interest of scientific studies towards various compounds endowed with antioxidant and anti-inflammatory properties, we performed a review of the literature focusing on the use of some antioxidant molecules for the treatment of conditions affecting the visual system. In this study, we focused on the ability of two antioxidant agents, the small molecule α-lipoic acid (ALA) and the enzyme superoxide dismutase (SOD), to influence the neurodegenerative physiological processes related to aging and oxidative stress affecting the ocular segment. The literature data report that ALA and SOD can protect against neurodegenerative effects both the optic nerve and retina and, if administered together, they are able to lower the levels of oxidative stress, thus preventing neurodegeneration and reducing the apoptotic process.

Perinatal presepsin assessment: a new sepsis diagnostic tool?

Perinatal sepsis constitutes a medical emergency and is still one of the major causes of mortality and morbidity. The possibility of an early diagnosis of sepsis is still debated and controversial. In particular, clinical symptoms can be hidden by the association of sepsis with other perinatal diseases and/or by therapeutic strategies performed. In this context, there is evidence that the accuracy of standard of care diagnostic parameters (i.e. blood culture, C-reactive protein, procalcitonin) can be biased by additional confounding factors (gestational age, birth-weight, acute-chronic hypoxia). Therefore, the inclusion in clinical daily practice of new biomarkers of sepsis is of utmost importance. Of a panel of biomarkers, Presepsin (P-SEP) plays an important role in the development and response of the immune system and as an early marker of sepsis both in adult and pediatric patients. Therefore, in the present review we aim to offer an overview of the role of P-SEP in the early detection of perinatal sepsis as a trustworthy marker according to actual statements of official international institutions. Future perspectives regard the possibility of a longitudinal non-invasive biological fluids P-SEP assessment thus limiting the sample stress in high risk newborns.

[The organization and staff of a centralized Clinical Trial Center: the Alessandria model.] / L'organizzazione e il personale di un Clinical Trial Center centralizzato: il modello Alessandria.

The case study refers to the Clinical Trial Center (CTC) of the Public Hospital "SS. Antonio e Biagio and Cesare Arrigo" (AO AL) and the Local Health Authority of Alessandria (ASL AL), to which Clinical Research Coordinators (CRCs) and Clinical Research Nurses (CRNs) belong, unique in the regional panorama and a rarity into a public health organization not recognized as Scientific Institute for Research, Hospitalization and Healthcare (IRCCS).

Intragastric prepyloric enteral nutrition, bolus vs continuous in the adult patient: A systematic review and meta-analysis.

Bolus and continuous nutrition are commonly used enteral nutrition (EN) administration methodologies. Currently, there is insufficient evidence to establish which is the most effective method for reducing gastrointestinal complications in adult patients. The aim of this review is to evaluate the impact of bolus/intermittent EN compared with continuous EN for the following outcomes: diarrhea, constipation, emesis/vomiting, gastric residual volume, aspiration, and glycemic control in adult patients receiving intragastric prepyloric EN in the hospital setting. Bibliographical research was performed on the following databases: PubMed, Embase, CINAHL, and the Cochrane Central Register of Controlled Trials. The review included all randomized and nonrandomized controlled trials of patients aged ≥18 years with preserved gastrointestinal function. Meta-analysis was performed by Review Manager V.5.3. Seven studies including 551 patients were included in the meta-analysis. Five of these studies reported that the diarrhea rate was higher in the bolus feeding group (risk ratio [RR] = 2.50; 95% CI, 1.17-5.34; P = 0.02), and another five of these studies indicated that the aspiration rate was higher in the continuous feeding group (RR = 0.55; 95% CI, 0.35-0.87; P = 0.01). There were no significant differences for the other outcomes. In conclusion, intermittent EN appears to reduce the incidence of aspiration in the hospital setting; however, it may increase the risk of diarrhea. For future research, we hypothesize the joint use of continuous nutrition until the patient reaches tolerance and then passing to bolus nutrition, thus reducing the incidence of aspiration and enabling a physiological nutrition intake.

Mode of birth in women with low-lying placenta: protocol for a prospective multicentre 1:3 matched case-control study in Italy (the MODEL-PLACENTA study).

INTRODUCTION: The term placenta praevia defines a placenta that lies over the internal os, whereas the term low-lying placenta identifies a placenta that is partially implanted in the lower uterine segment with the inferior placental edge located at 1-20 mm from the internal cervical os (internal-os-distance). The most appropriate mode of birth in women with low-lying placenta is still controversial, with the majority of them undergoing caesarean section. The current project aims to evaluate the rate of vaginal birth and caesarean section in labour due to bleeding by offering a trial of labour to all women with an internal-os-distance >5 mm as assessed by transvaginal sonography in the late third trimester. METHODS AND ANALYSIS: The MODEL-PLACENTA is a prospective, multicentre, 1:3 matched case-control study involving 17 Maternity Units across Lombardy and Emilia-Romagna regions, Italy. The study includes women with a placenta located in the lower uterine segment at the second trimester scan. Women with a normally located placenta will be enrolled as controls. A sample size of 30 women with an internal-os-distance >5 mm at the late third trimester scan is needed at each participating Unit. Since the incidence of low-lying placenta decreases from 2% in the second trimester to 0.4% at the end of pregnancy, 150 women should be recruited at each centre at the second trimester scan. A vaginal birth rate ≥60% in women with an internal-os-distance >5 mm will be considered appropriate to start routinely admitting to labour these women. ETHICS AND DISSEMINATION: Ethical approval for the study was given by the Brianza Ethics Committee (No 3157, 2019). Written informed consent will be obtained from study participants. Results will be disseminated by publication in peer-reviewed journals and presentation in international conferences. TRIAL REGISTRATION NUMBER: NCT04827433 (pre-results stage).

COVID-19 in breast cancer patients: a subanalysis of the OnCovid registry.

BACKGROUND: Cancer patients are at higher risk of COVID-19 complications and mortality than the rest of the population. Breast cancer patients seem to have better prognosis when infected by SARS-CoV-2 than other cancer patients. METHODS: We report a subanalysis of the OnCovid study providing more detailed information in the breast cancer population. RESULTS: We included 495 breast cancer patients with a SARS-CoV-2 infection. Mean age was 62.6 years; 31.5% presented more than one comorbidity. The most frequent breast cancer subtype was luminal-like (n = 245, 49.5%) and 177 (35.8%) had metastatic disease. A total of 332 (67.1%) patients were receiving active treatment, with radical intent in 232 (47.6%) of them. Hospitalization rate was 58.2% and all-cause mortality rate was 20.3%. One hundred twenty-nine (26.1%) patients developed one COVID-19 complication, being acute respiratory failure the most common (n = 74, 15.0%). In the multivariable analysis, age older than 70 years, presence of COVID-19 complications, and metastatic disease were factors correlated with worse outcomes, while ongoing anticancer therapy at time of COVID-19 diagnosis appeared to be a protective factor. No particular oncological treatment was related to higher risk of complications. In the context of SARS-CoV-2 infection, 73 (18.3%) patients had some kind of modification on their oncologic treatment. At the first oncological reassessment (median time: 46.9 days ± 36.7), 255 (51.6%) patients reported to be fully recovered from the infection. There were 39 patients (7.9%) with long-term SARS-CoV-2-related complications. CONCLUSION: In the context of COVID-19, our data confirm that breast cancer patients appear to have lower complications and mortality rate than expected in other cancer populations. Most breast cancer patients can be safely treated for their neoplasm during SARS-CoV-2 pandemic. Oncological treatment has no impact on the risk of SARS-CoV-2 complications, and, especially in the curative setting, the treatment should be modified as little as possible.

Simple Parameters from Complete Blood Count Predict In-Hospital Mortality in COVID-19.

INTRODUCTION: The clinical course of Coronavirus Disease 2019 (COVID-19) is highly heterogenous, ranging from asymptomatic to fatal forms. The identification of clinical and laboratory predictors of poor prognosis may assist clinicians in monitoring strategies and therapeutic decisions. MATERIALS AND METHODS: In this study, we retrospectively assessed the prognostic value of a simple tool, the complete blood count, on a cohort of 664 patients (F 260; 39%, median age 70 (56-81) years) hospitalized for COVID-19 in Northern Italy. We collected demographic data along with complete blood cell count; moreover, the outcome of the hospital in-stay was recorded. RESULTS: At data cut-off, 221/664 patients (33.3%) had died and 453/664 (66.7%) had been discharged. Red cell distribution width (RDW) (χ 2 10.4; p < 0.001), neutrophil-to-lymphocyte (NL) ratio (χ 2 7.6; p = 0.006), and platelet count (χ 2 5.39; p = 0.02), along with age (χ 2 87.6; p < 0.001) and gender (χ 2 17.3; p < 0.001), accurately predicted in-hospital mortality. Hemoglobin levels were not associated with mortality. We also identified the best cut-off for mortality prediction: a NL ratio > 4.68 was characterized by an odds ratio for in-hospital mortality (OR) = 3.40 (2.40-4.82), while the OR for a RDW > 13.7% was 4.09 (2.87-5.83); a platelet count > 166,000/µL was, conversely, protective (OR: 0.45 (0.32-0.63)). CONCLUSION: Our findings arise the opportunity of stratifying COVID-19 severity according to simple lab parameters, which may drive clinical decisions about monitoring and treatment.

Neonatal outcomes and risk of neonatal sepsis in an expectantly managed cohort of late preterm prelabor rupture of membranes.

OBJECTIVE: Expectant management in patients with prelabor preterm rupture of membranes between between 340/7 and 36 6/7 weeks (late preterm pPROM or LpPROM) has been shown to decrease the burden of prematurity, when compared to immediate delivery. As the severity of prematurity depends on gestational age (GA) at PROM, and PROM to delivery interval, we first investigated how such variables affect neonatal outcomes (NO). Second, we assessed the risk of neonatal sepsis. STUDY DESIGN: retrospective cohort study on neonatal morbidity among singleton infants born to expectantly managed mothers with LpPROM in five hospitals affiliated with three Italian academic institutions. The primary NO was a composite of neonatal death, non-invasive (cPAP) or invasive (mechanical ventilation) respiratory support, hypoglycemia (< 44 mg/dl needing therapy), newborn sepsis, confirmed seizures, stroke, intraventricular hemorrhage (IVH), basal nuclei anomalies, cardiopulmonary resuscitation, umbilical-cord-blood arterial pH < 7.0 or base excess < -12.5, and prolonged hospitalization (≥ 5 days). Univariate analysis described differences in the population according to GA at delivery. Multivariate logistic regression was then used to investigate the effects of GA at PROM, and PROM to delivery interval on the NO. RESULTS: 258/606 (42.6 %) women with LpPROM were expectantly managed, as they did not deliver within the first 24 h. The median latency duration was 2 (95 %CI 1-3) days, having no effect on neonatal morbidity on multivariate analysis. Multivariate analysis also showed increased risks of adverse NO among PROM at 34 (OR 2.3 95 %CI 1.03-5.1) but not at 35 weeks when compared to 36 weeks, and among women receiving antenatal corticosteroids (OR 3.6 95 %CI 1.3-9.7), while antibiotic treatment showed a non-significant protective effect (OR 0.2 95 %CI 0.04-1.02). Prevalence of neonatal sepsis was 0.8 % (2/258) CONCLUSION: Expectant management of LpPROM should be encouraged especially between 34+0 and 34+6 weeks', when the burden of prematurity is the greatest. Antibiotics may have beneficial effects, while careful consideration should be given to antenatal corticosteroids until future studies specifically address LpPROM.

Baseline clinical characteristics and prognostic factors in hospitalized COVID-19 patients aged ≤ 65 years: A retrospective observational study.

BACKGROUND: Individual differences in susceptibility to SARS-CoV-2 infection, symptomatology and clinical manifestation of COVID-19 have thus far been observed but little is known about the prognostic factors of young patients. METHODS: A retrospective observational study was conducted on 171 patients aged ≤ 65 years hospitalized in Alessandria's Hospital from 1st March to 30th April 2020 with laboratory confirmed COVID-19. Epidemiological data, symptoms at onset, clinical manifestations, Charlson Comorbidity Index, laboratory parameters, radiological findings and complications were considered. Patients were divided into two groups on the basis of COVID-19 severity. Multivariable logistic regression analysis was used to establish factors associated with the development of a moderate or severe disease. FINDINGS: A total of 171 patients (89 with mild/moderate disease, 82 with severe/critical disease), of which 61% males and a mean age (± SD) of 53.6 (± 9.7) were included. The multivariable logistic model identified age (50-65 vs 18-49; OR = 3.23 CI95% 1.42-7.37), platelet count (per 100 units of increase OR = 0.61 CI95% 0.42-0.89), c-reactive protein (CPR) (per unit of increase OR = 1.12 CI95% 1.06-1.20) as risk factors for severe or critical disease. The multivariable logistic model showed a good discriminating capacity with a C-index value of 0.76. INTERPRETATION: Patients aged ≥ 50 years with low platelet count and high CRP are more likely to develop severe or critical illness. These findings might contribute to improved clinical management.

Single-Breath Counting Test Predicts Non-Invasive Respiratory Support Requirements in Patients with COVID-19 Pneumonia.

The use of non-invasive respiratory strategies (NIRS) is crucial to improve oxygenation in COVID-19 patients with hypoxemia refractory to conventional oxygen therapy. However, the absence of respiratory symptoms may delay the start of NIRS. The aim of this study was to determine whether a simple bedside test such as single-breath counting test (SBCT) can predict the need for NIRS in the 24 h following the access to Emergency Department (ED). We performed a prospective observational study on 120 patients with COVID-19 pneumonia. ROC curves were used to analyze factors which might predict NIRS requirement. We found that 36% of patients had normal respiratory rate and did not experience dyspnea at rest. 65% of study population required NIRS in the 24 h following the access to ED. NIRS-requiring group presented lower PaO2/FiO2 (235.09 vs. 299.02), SpO2/FiO2 ratio (357.83 vs. 431.07), PaCO2 (35.12 vs. 40.08), and SBCT (24.46 vs. 30.36) and showed higher incidence of dyspnea at rest (57.7% vs. 28.6%). Furthermore, SBCT predicted NIRS requirement even in the subgroup of patients without respiratory symptoms (AUC = 0.882, cut-off = 30). SBCT might be a valuable tool for bedside assessment of respiratory function in patients with COVID-19 pneumonia and might be considered as an early clinical sign of impending respiratory deterioration.

Innovation in organizational model of the Health Professions Research Unit in an hospital.

BACKGROUND: The organizational model of the Health Professions Research Unit is unique in Italy. It is a centralized sector within of the Intercompany Department of Integrated Activities Research Innovation, afferent to the Complex Infrastructure Research Training Innovation of the SS Antonio e Biagio e Cesare Arrigo Hospital of Alessandria. It emerges from a need to promote, structure and broaden research in the clinical-healthcare field with the primary aim of improving patient care. Its internal organization is represented by a Coordinator Director (PhD) with a function assignment and three research nurses. AIM: Increase scientific production, promote partnerships with scientific communities, encourage the development of professional healthcare networks. METHODS: The definition of specific result indicators on which to estimate the trend of annual activities. The institution of a company network of Department and Structure and the establishment of collaborations with Institutions and Universities. RESULTS: From 2019 to 2021, 11 departmental and 67 Structure referents have been identified; 13 collaborations with National and 3 International Institutions have been activated (42% Increase), 23 clinical trials have been activated (92% increase), 7 articles on impacted journals have been published (100% increase) and 7 are under publication, 27 grey literature papers have been produced (47% increase)and have participated to 5 sponsored calls (100% increase) CONCLUSIONS: The new organizational model established has achieved the objectives set, proving reproducibility in other national and international realities. NURSING IMPLICATIONS: The model could increase at national and international level the scientific production related to the Healthcare professions with important benefits on the clinical outcomes of patients.

Physiopathology of the diabetic bladder.

OBJECTIVE: To investigate the incidence of diabetic cystopathy in relation to age, gender, type of diabetes, duration of diabetic disease and clinical evidence of peripheral neuropathy and to analyze the physiopathology of the various forms of diabetic cystopathy due to sensory impairment, motor-sensory impairment, motor impairment and hyperreflexia. MATERIALS AND METHODS: In a retrospective multicenter cohort study the medical records of a cohort of 126 diabetic patients with (128 patients) or without (48 patients) urological symptoms were analyzed. Patients were observed at the Città di Alessandria Clinic of Policlinico di Monza and/or at the outpatient clinic of Alessandria Hospital from June 2018 to June 2020. The study excluded patients with central and/or peripheral neuropathy, spina bifida (mylomeningocele or meningocele) or spina bifida occulta; with persistent urinary infections; in anticholinergic treatment for enteric dysfunctions; in medical treatment for cervical-prostatic-urethral obstruction; with vaginal and/or rectal prolapse of II, III, IV degree; with previous spinal or pelvic surgery including radical prostatectomy, Wertheim hysterectomy or colorectal surgery. All the patients were studied with computed tomography (CT) scan of the urinary tract, voiding cystourethrography (VCUG), uroflowmetry, cystomanometry with intrinsic pressure assessment and compliance evaluation, electromyography (EMG) of the anal sphincter, pressure flow analysis, urethral pressure profile and, when advised, pharmacological tests. RESULTS: Out of 126 diabetic patients, 48 did not show any signs or symptoms of urine voiding dysfunction; 30 were men and 18 women with an average age of 62.6 years; 20 had type I diabetes and were in treatment with insulin and 28 type II diabetes treated with oral hypoglycemic medication. The remaining 78 patients (48 men and 30 women), with an average age of 64.8 years, presented urological symptoms; 31 had type I diabetes and 47 had II type diabetes. CONCLUSIONS: Diagnosis of the various forms of diabetic cystopathy and early treatment decreases complications and consequently accesses to outpatient facilities and hospital admissions, resulting in an improved quality of life.

Fatality rate and predictors of mortality in an Italian cohort of hospitalized COVID-19 patients.

Clinical features and natural history of coronavirus disease 2019 (COVID-19) differ widely among different countries and during different phases of the pandemia. Here, we aimed to evaluate the case fatality rate (CFR) and to identify predictors of mortality in a cohort of COVID-19 patients admitted to three hospitals of Northern Italy between March 1 and April 28, 2020. All these patients had a confirmed diagnosis of SARS-CoV-2 infection by molecular methods. During the study period 504/1697 patients died; thus, overall CFR was 29.7%. We looked for predictors of mortality in a subgroup of 486 patients (239 males, 59%; median age 71 years) for whom sufficient clinical data were available at data cut-off. Among the demographic and clinical variables considered, age, a diagnosis of cancer, obesity and current smoking independently predicted mortality. When laboratory data were added to the model in a further subgroup of patients, age, the diagnosis of cancer, and the baseline PaO2/FiO2 ratio were identified as independent predictors of mortality. In conclusion, the CFR of hospitalized patients in Northern Italy during the ascending phase of the COVID-19 pandemic approached 30%. The identification of mortality predictors might contribute to better stratification of individual patient risk.