Collaborative privacy-preserving analysis of oncological data using multiparty homomorphic encryption.

Real-world healthcare data sharing is instrumental in constructing broader-based and larger clinical datasets that may improve clinical decision-making research and outcomes. Stakeholders are frequently reluctant to share their data without guaranteed patient privacy, proper protection of their datasets, and control over the usage of their data. Fully homomorphic encryption (FHE) is a cryptographic capability that can address these issues by enabling computation on encrypted data without intermediate decryptions, so the analytics results are obtained without revealing the raw data. This work presents a toolset for collaborative privacy-preserving analysis of oncological data using multiparty FHE. Our toolset supports survival analysis, logistic regression training, and several common descriptive statistics. We demonstrate using oncological datasets that the toolset achieves high accuracy and practical performance, which scales well to larger datasets. As part of this work, we propose a cryptographic protocol for interactive bootstrapping in multiparty FHE, which is of independent interest. The toolset we develop is general-purpose and can be applied to other collaborative medical and healthcare application domains.

Impact of the COVID-19 Pandemic on Blood Transfusion among Hospitalized Patients with Chronic Kidney Disease.

Background and Objectives: Hematological disorders, especially chronic anemia and coagulation disorders, are common in patients with chronic kidney disease (CKD). Severe anemia is associated with increased cardiovascular morbidity and mortality in this special group of patients and is also responsible for decreased hope and quality of life. Despite the use of appropriate iron therapy and erythropoietin-stimulating agents, red blood cell transfusion is occasionally required, usually in the setting of acute bleeding or for correction of perioperative anemia. The COVID-19 pandemic has accelerated the progression of chronic diseases and worsened the outcomes for patients with nephrological conditions. As a precautionary measure against infections, patients' access to hospitalization for their procedures has been reduced and their chronic complications, including hematological abnormalities, have gotten out of control. Materials and Methods: Our retrospective observational study was designed to evaluate the impact of the COVID-19 pandemic on blood transfusion for the patients with chronic kidney disease hospitalized in our emergency county medical unit, over a period of four years (2019-2022) who were admitted or at least referred for evaluation to the Nephrology department. We also followed the measures adopted to ensure the necessary blood products during this time. Results: Between 2190-2022, a total of 24,096 hospitalized patients were transfused at the Emergency County Clinical Hospital in Constanta, Romania. Meanwhile, in the nephrology and other medical or surgical wards of our medical unit, 1590 CKD patients were transfused with different blood derivatives. During the pandemic years, as expected, the number of transfused patients and transfused blood units decreased by 4% and 7%, respectively, in comparison with the pre-pandemic year, 2019. Unlike the general trend of transfusion activity, more patients with CKD transfused in 2022 (580) than before the pandemic (414 in 2019), and the number of blood units was higher in 2022 than in 2019 for red blood products and plasma. Between 2020-2022, from the total number of transfused patients in our study, 254 with CKD patients (16%) and 798 non-CKD (4%) died in-hospital. Conclusions: The adaptive strategies implemented to ensure the necessary blood products in the hospital during the COVID-19 pandemic mainly included restrictive transfusion and limitation of elective surgical procedures. The subject matter of the article is important as blood shortages are a problem that healthcare workers may encounter in future pandemics.

Urinary Biomarkers in Monitoring the Progression and Treatment of Autosomal Dominant Polycystic Kidney Disease-The Promised Land?

Autosomal dominant polycystic kidney disease (ADPKD) is the most common genetic kidney disease, and it leads to end-stage renal disease (ESRD). The clinical manifestations of ADPKD are variable, with extreme differences observable in its progression, even among members of the same family with the same genetic mutation. In an age of new therapeutic options, it is important to identify patients with rapidly progressive evolution and the risk factors involved in the disease's poor prognosis. As the pathophysiological mechanisms of the formation and growth of renal cysts have been clarified, new treatment options have been proposed to slow the progression to end-stage renal disease. Furthermore, in addition to the conventional factors (PKD1 mutation, hypertension, proteinuria, total kidney volume), increasing numbers of studies have recently identified new serum and urinary biomarkers of the disease's progression, which are cheaper and more easily to dosing from the early stages of the disease. The present review discusses the utility of new biomarkers in the monitoring of the progress of ADPKD and their roles in new therapeutic approaches.

Introductions and early spread of SARS-CoV-2 in France, 24 January to 23 March 2020.

Following SARS-CoV-2 emergence in China, a specific surveillance was implemented in France. Phylogenetic analysis of sequences retrieved through this surveillance suggests that detected initial introductions, involving non-clade G viruses, did not seed local transmission. Nevertheless, identification of clade G variants subsequently circulating in the country, with the earliest from a patient who neither travelled to risk areas nor had contact with travellers, suggests that SARS-CoV-2 might have been present before the first recorded local cases.

Real-Time Whole-Genome Sequencing for Surveillance of Listeria monocytogenes, France.

During 2015-2016, we evaluated the performance of whole-genome sequencing (WGS) as a routine typing tool. Its added value for microbiological and epidemiologic surveillance of listeriosis was compared with that for pulsed-field gel electrophoresis (PFGE), the current standard method. A total of 2,743 Listeria monocytogenes isolates collected as part of routine surveillance were characterized in parallel by PFGE and core genome multilocus sequence typing (cgMLST) extracted from WGS. We investigated PFGE and cgMLST clusters containing human isolates. Discrimination of isolates was significantly higher by cgMLST than by PFGE (p<0.001). cgMLST discriminated unrelated isolates that shared identical PFGE profiles and phylogenetically closely related isolates with distinct PFGE profiles. This procedure also refined epidemiologic investigations to include only phylogenetically closely related isolates, improved source identification, and facilitated epidemiologic investigations, enabling identification of more outbreaks at earlier stages. WGS-based typing should replace PFGE as the primary typing method for L. monocytogenes.