COVID-19 Outbreak in a Large Hemodialysis Center in Lombardy, Italy.
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ABSTRACT:
SUBMITTER: La Milia V
PROVIDER: S-EPMC7246019 | biostudies-literature | 2020 Jul
REPOSITORIES: biostudies-literature
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COVID-19 Outbreak in a Large Hemodialysis Center in Lombardy, Italy.
La Milia Vincenzo V Bacchini Giuseppe G Bigi Maria Carla MC Casartelli Donatella D Cavalli Andrea A Corti Mauro M Crepaldi Monica M Limardo Monica M Longhi Selena S Manzoni Celestina C Ravasi Chiara C Stucchi Valentina V Viganò Sara S
Kidney international reports 20200524 7
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Project description:IntroductionDuring the COVID-19 pandemic, Lombardy (Northern Italy) Regional Health Council created hubs for cancer care, meant to be SARS-CoV-2-free pathways for cancer patients. The workflow of breast cancer (BC) radiotherapy (RT) in one of the hubs is presented here.MethodsCandidates to adjuvant RT during the pandemic peak of March-April 2020 were compared to those treated in the same period of 2019, and patient volume, deferral rate, and type of RT were analyzed. Statistics were calculated with χ2 or Fisher exact tests for categorical variables, and the Wilcoxon rank test for continuous variables.ResultsIn March-April 2020 the BC patient volume increased by 28% compared to the same period in 2019 (scheduled patients: 175 vs. 137) and amid travel restrictions it was kept high (treated patients: 136 vs. 133), mainly due to an influx from across Lombardy. RT schemes basically did not change, being already centered on hypofractionation. The increase of median time (67 vs. 74.5 days in 2019 and 2020, respectively) to the commencement of RT for low-risk patients was clinically negligible yet statistically significant (p = 0.03), and in line with the pertinent recommendations. No significant difference was found in the time interval between treatments and RT for high-risk patients. Concomitant chemoradiotherapy was avoided throughout the pandemic peak. Twenty-one women (13.6%) delayed either computed tomography simulation or RT commencement mainly because of COVID-19-related concerns and mobility restrictions.ConclusionThe workload for BC was high during the pandemic peak. Hubs allowed the continuation of oncologic treatments, while mitigating the strain on frontline COVID-19 hospitals.
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Project description:Lombardy is the Region in Italy the most heavily affected by coronavirus disease (COVID-19) contagion. The Regional Health Authority mandates that mental health services should be guaranteed, identifying mental health as a priority for their citizens. Recommendations for occupational and health safety have been provided to patients and hospital staff, including support for telemedicine activities and remote psychosocial interventions. Services of the Mental Health Departments of Milano "Niguarda" and Brescia "Spedali Civili" Hospitals are providing continued care at a community, residential and hospital level, and to positive COVID-19 psychiatric patients in need of hospitalization.
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Project description:BackgroundIt is unknown whether patients with PD are at greater risk of COVID-19, what their risk factors are, and whether their clinical manifestations differ from the general population.ObjectivesThe study aimed to address all these issues.MethodsIn a case-controlled survey, we interviewed 1,486 PD patients attending a single tertiary center in Lombardy, Italy and 1,207 family members (controls).ResultsOne hundred five (7.1%) and 92 controls (7.6%) were identified as COVID-19 cases. COVID-19 patients were younger, more likely to suffer from chronic obstructive pulmonary disease, to be obese, and vitamin D nonsupplemented than unaffected patients. Six patients (5.7%) and 7 family members (7.6%) died from COVID-19. Patients were less likely to report shortness of breath and require hospitalization.ConclusionsIn an unselected large cohort of nonadvanced PD patients, COVID-19 risk and mortality did not differ from the general population, but symptoms appeared to be milder. The possible protective role of vitamin D supplementation warrants future studies. © 2020 International Parkinson and Movement Disorder Society.
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Project description:IntroductionItaly became the second epicenter of the novel coronavirus disease 2019 (COVID-19) pandemic after China, surpassing by far China's death toll. The disease swept through Lombardy, which remained in lockdown for about two months, starting from the 8th of March. As of that day, the isolation measures taken in Lombardy were extended to the entire country. Here, assuming that effectively there was one case "zero" that introduced the virus to the region, we provide estimates for: (a) the day-zero of the outbreak in Lombardy, Italy; (b) the actual number of asymptomatic infected cases in the total population until March 8; (c) the basic (R0)and the effective reproduction number (Re) based on the estimation of the actual number of infected cases. To demonstrate the efficiency of the model and approach, we also provide a tentative forecast two months ahead of time, i.e. until May 4, the date on which relaxation of the measures commenced, on the basis of the COVID-19 Community Mobility Reports released by Google on March 29.MethodsTo deal with the uncertainty in the number of the actual asymptomatic infected cases in the total population Volpert et al. (2020), we address a modified compartmental Susceptible/ Exposed/ Infectious Asymptomatic/ Infected Symptomatic/ Recovered/ Dead (SEIIRD) model with two compartments of infectious persons: one modelling the cases in the population that are asymptomatic or experience very mild symptoms and another modelling the infected cases with mild to severe symptoms. The parameters of the model corresponding to the recovery period, the time from the onset of symptoms to death and the time from exposure to the time that an individual starts to be infectious, have been set as reported from clinical studies on COVID-19. For the estimation of the day-zero of the outbreak in Lombardy, as well as of the "effective" per-day transmission rate for which no clinical data are available, we have used the proposed SEIIRD simulator to fit the numbers of new daily cases from February 21 to the 8th of March. This was accomplished by solving a mixed-integer optimization problem. Based on the computed parameters, we also provide an estimation of the basic reproduction number R0 and the evolution of the effective reproduction number Re. To examine the efficiency of the model and approach, we ran the simulator to "forecast" the epidemic two months ahead of time, i.e. from March 8 to May 4. For this purpose, we considered the reduction in mobility in Lombardy as released on March 29 by Google COVID-19 Community Mobility Reports, and the effects of social distancing and of the very strict measures taken by the government on March 20 and March 21, 2020.ResultsBased on the proposed methodological procedure, we estimated that the expected day-zero was January 14 (min-max rage: January 5 to January 23, interquartile range: January 11 to January 18). The actual cumulative number of asymptomatic infected cases in the total population in Lombardy on March 8 was of the order of 15 times the confirmed cumulative number of infected cases, while the expected value of the basic reproduction number R0 was found to be 4.53 (min-max range: 4.40- 4.65). On May 4, the date on which relaxation of the measures commenced the effective reproduction number was found to be 0.987 (interquartiles: 0.857, 1.133). The model approximated adequately two months ahead of time the evolution of reported cases of infected until May 4, the day on which the phase I of the relaxation of measures was implemented over all of Italy. Furthermore the model predicted that until May 4, around 20% of the population in Lombardy has recovered (interquartile range: ∼10% to ∼30%).
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Project description:BackgroundIn the night of February 20, 2020, the first epidemic of the novel coronavirus disease (COVID-19) outside Asia was uncovered by the identification of its first patient in Lombardy region, Italy. In the following weeks, Lombardy experienced a sudden increase in the number of ascertained infections and strict measures were imposed to contain the epidemic spread.MethodsWe analyzed official records of cases occurred in Lombardy to characterize the epidemiology of SARS-CoV-2 during the early phase of the outbreak. A line list of laboratory-confirmed cases was set up and later retrospectively consolidated, using standardized interviews to ascertained cases and their close contacts. We provide estimates of the serial interval, of the basic reproduction number, and of the temporal variation of the net reproduction number of SARS-CoV-2.ResultsEpidemiological investigations detected over 500 cases (median age: 69, IQR: 57-78) before the first COVID-19 diagnosed patient (February 20, 2020), and suggested that SARS-CoV-2 was already circulating in at least 222 out of 1506 (14.7%) municipalities with sustained transmission across all the Lombardy provinces. We estimated the mean serial interval to be 6.6 days (95% CrI, 0.7-19). Our estimates of the basic reproduction number range from 2.6 in Pavia (95% CI, 2.1-3.2) to 3.3 in Milan (95% CI, 2.9-3.8). A decreasing trend in the net reproduction number was observed following the detection of the first case.ConclusionsAt the time of first case notification, COVID-19 was already widespread in the entire Lombardy region. This may explain the large number of critical cases experienced by this region in a very short timeframe. The slight decrease of the reproduction number observed in the early days after February 20, 2020 might be due to increased population awareness and early interventions implemented before the regional lockdown imposed on March 8, 2020.
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