Adequacy of hospitals in Rome to an unconventional event (CBRNe). TTX simulation and HTA

Background Rome hosts thousands of sensible targets. Healthcare reaction has been guaranteed by 6 advanced Emergency Departments (EDs) and 7 basic ones. Everyday Rome hosts 6 millions of people/die, ± 2 million in particular occasions. About National Stockpile Antidotes (SNA), Rome hosts 3 warehouses. In case of events, stockpiles are activated with a long-time call; then stockpiles are charged in delivering trucks. Methods Study analyzes PEIMAF (State of emergency plans for massive influx of injures) of advanced EDs in Rome and their adequacy in a possible CBRNe attack. Hypothesis of C/N attack on Saint Peter's Square during Angelus on Wednesday (at 12.00 AM) or E attack in Trastevere on Saturday (at 9.00 PM). Analysis of activation of SNA and travel times between SNA warehouse and EDs. Comparison with French EDs during Paris attacks. Results EDs are chronically undermanned in ordinary conditions already, and would have issues in hosting a very large number of critical patients all at once. Some hospitals do not inform their workers about PEIMAF or they do not consider CBRNe emergencies in their PEIMAF, and even if it has been considered, hardly any simulation/exercitation is ever performed. Moreover, news of the CBRNe attack may not reach immediately the healthcare personal already at work in EDs; this is extremely problematic since they could be at major risk of contamination in case of CBRNe attacks. Furthermore, without a standardize protocol active in the whole city, no cross-hospital organization can be performed. Conclusions All data point towards the weakness and fragmentation of actual organizative system. Time of activation and charging are crucials for first aid efficacy and efficiency; a smart call system can reduce the activation time of SNA. A better organization of SNA in major Rome hospitals can reduce delivering time and help save more lives

Green line hospital-territory study: A single-blind randomized clinical trial for evaluation of technological challenges of continuous wireless monitoring in internal medicine, preliminary results

Background: Wireless vital parameter continuous monitoring (WVPCM) after discharge is compared to regular monitoring to provide data on the clinical-economic impact of complex patients (CPs) discharged from Internal Medicine Units of Ospedale dei Castelli, Lazio. Primary outcome: Major complications (MC) reduction. Secondary outcomes: Patients who reached discharge criteria within the 7th day from admission; difference in MC incidence at the conclusion of the standard telemonitoring/clinical monitoring phase, 5 and 30 days after discharge; and conditions predisposing to MC occurrence. Methods: Open label randomized controlled trial with wearable wireless system that creates alerts on portable devices. Continuous glycemic monitoring is performed for patients with diabetes mellitus. Results: There were 110 patients enrolled (mean age: 76.2 years). Comorbidity: Cumulative Illness Rating Scale CIRS-CI (comorbidities index): 3.93, CIRS SI (severity index): 1.93. About 19% scored a BRASS (Blaylock Risk Assessment Screening Score) ≥20 indicating need for discharge planning requiring step-down care. Globally, 48% of patients in the control group had major complications (27 out of 56 patients), in contrast to 22% in the intervention group (12 out of 54 patients). Conclusions: Since WVPCM detects early complications during the post-discharge CPs monitoring, it increases safety and reduces inappropriate access to the Emergency Room, preventing avoidable re-hospitalizations

Renal cell carcinoma incidence rates and trends in young adults aged 20-39 years

Background: The burden of renal cell carcinoma (RCC) in young adults received marginal attention. We assessed contemporary gender, race and stage-specific incidence and trends of RCC among young adults (20-39 years-old) in the United States.Methods: Within Surveillance, Epidemiology, and End Results database (2000-2016), patients aged 20-39 years with histologically confirmed RCC were included. Age-standardized incidence rates (ASR per 100,000 person-years) were estimated. Temporal trends were calculated through joinpoint regression analyses to describe the average annual percent change (AAPC).Results: From 2000-2016, 7767 new RCC cases were recorded (ASR 0.6, AAPC + 5.0 %, p < 0.001). ASRs were higher in males than in females (0.7 and 0.5, respectively) and increased significantly in both genders (AAPC + 5.0 % and + 4.7 % both p < 0.001, respectively). Non-Hispanic American Indian/Alaska Native had the highest incidence (ASR 1.0) vs. non-Hispanic Asian or Pacific Islander the lowest (ASR 0.3). ASRs significantly increased in all ethnic groups. T1aNOMO and T1bNOMO stages showed the highest incidence and increase (ASR 0.3, AAPC + 5.9 %, p < 0.001 and ASR 0.1, AAPC + 5.7 %, p < 0.001, respectively). Also regional and distant stages increased (AAPC + 3.7 %, p = 0.001 and AAPC + 1.5 %, p = 0.06). The most frequent tumor characteristics were G2 (44.4 %, ASR 0.3, AAPC + 6.3 %, p < 0.001) and G1 (13.1 %, ASR 0.1, AAPC + 1.1 %, p = 0.2), as well as clear cell histology (54.8 %, ASR 0.3, AAPC + 7.6 %, p < 0.001).Conclusions: RCC in young adults is rare, but increasing. This is mainly due to T1aN0M0 tumors. Nonetheless, also regional diseases are significantly increasing. Differences between ethnic groups exist and may warrant further research

Metabolic syndrome predicts worse perioperative outcomes in patients treated with partial nephrectomy for renal cell carcinoma

OBJECTIVE: To test the association between metabolic syndrome (MetS) and its components (high blood pressure, body mass index [BMI] 65 30, altered fasting glucose, low high-density lipoprotein cholesterol and high triglycerides) on perioperative outcomes after partial nephrectomy (PN). METHODS: Within the National Inpatient Sample database (2000-2015) we identified all PN patients. First, temporal trends of MetS were reported. Second, the effect of MetS components was tested in multivariable logistic regression models predicting overall and specific perioperative complications. Third, we tested for dose-response from the concomitant effect of multiple MetS components. All models were weighted and adjusted for clustering, as well as all available patient and hospital characteristics. RESULTS: Of 25,875 patients: (1) 59.3% had high blood pressure, (2) 14.7% had BMI 65 30, (3) 21.7% had altered fasting glucose, (4) 20.2% had high triglycerides, and (5) <0.01% had low high-density lipoprotein cholesterol. One vs 2 vs 3 vs 4 MetS components were recorded in 34.9% vs 22.9% vs 8.9% vs 2.2% patients. Of all, 11.1% exhibited 65 3 components and qualified for MetS. The rates of MetS increased over time (estimated annual percentage changes: +12.0%;P <.001). The 4 tested MetS components (high blood pressure, BMI 65 30, altered fasting glucose, and high triglycerides) achieved independent predictor status in multivariable models predicting overall, cardiac, miscellaneous medical, vascular, and respiratory complications, as well as transfusions. Moreover, a statistically significant dose-response was confirmed for the same endpoints. CONCLUSION: MetS and its components consistently and strongly predict perioperative complications after PN. Moreover, the strength of the effect was directly proportional to the number of MetS components exhibited by each individual patient, even if formal MetS diagnosis of 65 3 components has not been m

Notulae to the Italian native vascular flora: 2

In this contribution new data concerning the Italian distribution of native vascular flora are presented. It includes new records, exclusions, and confirmations to the Italian administrative regions for taxa in the genera Arctostaphylos, Artemisia, Buglossoides, Convolvulus, Crocus, Damasonium, Epipogium, Ficaria, Filago, Genista, Heptaptera, Heracleum, Heteropogon, Hieracium, Myosotis, Ononis, Papaver, Pilosella, Polygonum, Pulmonaria, Scorzonera, Silene, Trifolium, Vicia and Viola

Common Genetic Polymorphisms Influence Blood Biomarker Measurements in COPD

Implementing precision medicine for complex diseases such as chronic obstructive lung disease (COPD) will require extensive use of biomarkers and an in-depth understanding of how genetic, epigenetic, and environmental variations contribute to phenotypic diversity and disease progression. A meta-analysis from two large cohorts of current and former smokers with and without COPD [SPIROMICS (N = 750); COPDGene (N = 590)] was used to identify single nucleotide polymorphisms (SNPs) associated with measurement of 88 blood proteins (protein quantitative trait loci; pQTLs). PQTLs consistently replicated between the two cohorts. Features of pQTLs were compared to previously reported expression QTLs (eQTLs). Inference of causal relations of pQTL genotypes, biomarker measurements, and four clinical COPD phenotypes (airflow obstruction, emphysema, exacerbation history, and chronic bronchitis) were explored using conditional independence tests. We identified 527 highly significant (p 10% of measured variation in 13 protein biomarkers, with a single SNP (rs7041; p = 10−392) explaining 71%-75% of the measured variation in vitamin D binding protein (gene = GC). Some of these pQTLs [e.g., pQTLs for VDBP, sRAGE (gene = AGER), surfactant protein D (gene = SFTPD), and TNFRSF10C] have been previously associated with COPD phenotypes. Most pQTLs were local (cis), but distant (trans) pQTL SNPs in the ABO blood group locus were the top pQTL SNPs for five proteins. The inclusion of pQTL SNPs improved the clinical predictive value for the established association of sRAGE and emphysema, and the explanation of variance (R2) for emphysema improved from 0.3 to 0.4 when the pQTL SNP was included in the model along with clinical covariates. Causal modeling provided insight into specific pQTL-disease relationships for airflow obstruction and emphysema. In conclusion, given the frequency of highly significant local pQTLs, the large amount of variance potentially explained by pQTL, and the differences observed between pQTLs and eQTLs SNPs, we recommend that protein biomarker-disease association studies take into account the potential effect of common local SNPs and that pQTLs be integrated along with eQTLs to uncover disease mechanisms. Large-scale blood biomarker studies would also benefit from close attention to the ABO blood group

The economic cost of anti-vaccination movements in Italy

Correlation between no vax policies and AMR