Reporting standard for describing first responder systems, smartphone alerting systems, and AED networks.

Standardized reporting of data is crucial for out-of-hospital cardiac arrest (OHCA) research. While the implementation of first responder systems dispatching volunteers to OHCA is encouraged, there is currently no uniform reporting standard for describing these systems. A steering committee established a literature search to identify experts in smartphone alerting systems. These international experts were invited to a conference held in Hinterzarten, Germany, with 40 researchers from 13 countries in attendance. Prior to the conference, participants submitted proposals for parameters to be included in the reporting standard. The conference comprised five workshops covering different aspects of smartphone alerting systems. Proposed parameters were discussed, clarified, and consensus was achieved using the Nominal Group Technique. Participants voted in a modified Delphi approach on including each category as a core or supplementary element in the reporting standard. Results were presented, and a writing group developed definitions for all categories and items, which were sent to participants for revision and final voting using LimeSurvey web-based software. The resulting reporting standard consists of 68 core items and 21 supplementary items grouped into five topics (first responder system, first responder network, technology/algorithm/strategies, reporting data, and automated external defibrillators (AED)). This proposed reporting standard generated by an expert opinion group fills the gap in describing first responder systems. Its adoption in future research will facilitate comparison of systems and research outcomes, enhancing the transfer of scientific findings to clinical practice.

Safety and efficacy of FLAG-Ida-based therapy combined with venetoclax for the treatment for newly diagnosed and relapsed/refractory patients with AML - A systematic review.

Venetoclax (VEN) in combination with intensive chemotherapy (IC) is increasingly used to treat patients with high-risk acute myeloid leukemia (AML). We conducted a systematic review to assess the safety and efficacy outcomes of FLAG-IDA in combination with VEN. The primary safety outcome was infection rate; the primary efficacy outcome was response to treatment (composite complete remission (CRc) and overall response rate (ORR). Risk of bias was assessed according to the ROBINS-I tool. Six studies including 221 patients with newly-diagnosed (ND AML (n = 120)) and R/R AML (n = 101) disease, were included in this systematic review. Pooling of results was not conducted due to major differences between studies. The reported rates of neutropenic fever, bacteremia, pneumonia and invasive fungal infections were at 44-55 %, 24-48 %, 12-30 % and 11-36 % of assessed patients, respectively. Time to ANC and platelet recovery ranged between 23 and 29 and 23-31 days, respectively. Early death rate was 8.7 % (14/160) patients: four patients at 30 days, additional ten in 60 days. CRc rates ranged between 53 % and 78 % for R/R AML. CRc for ND was reported by one study only (89 %). ORR were reported in 60-78 % of patients with R/R AML. Only one study reported an ORR for ND patients of 98 %. In our systematic review, FLAG-Ida plus VEN proved to be a potentially tolerable and effective regimen in ND and R/R AML patients. We suggest further evaluation and confirmation for the safety and efficacy of this new protocol in future RCTs.

Experiences and outcome from the implementation of a national Swedish automated external defibrillator registry.

BACKGROUND: Early cardiopulmonary resuscitation (CPR) and defibrillation with an Automated External Defibrillator (AED) increase survival from out-of-hospital cardiac arrest (OHCA). Although international guidelines recommend the use of AED registries to increase AED use, little is known about implementation. The aim of this paper is to describe the development of a national AED registry, to analyse the coverage and barriers to register AEDs. METHODS: The Swedish AED Registry (SAEDREG) was initiated in 2009 with the purpose of gathering the data of all public AEDs in Sweden. Data on all AEDs between 2013 and 2016 were included in the study. Additionally, data of non-registered AEDs was collected in one region using a survey to AED owners focusing on AED functionality. RESULTS: The number of AEDs doubled between 2013-2016. A total of 6703 AEDs (30%) were removed due to unavailability of validation. At the end of 2016, AEDs were most frequently registered in offices and workplaces, 45% (n = 7241) followed by shops, 7% (n = 1200). In the Gotland region, 218 AEDs, 57% (n = 124) were registered in the SAEDREG. Of n = 94 Non-registered AED functionality was high, the main reason not to register was unawareness of the SAEDREG, 74.5%. Of those aware of the register but not having registered, 25% stated "hard to register" as cause. CONCLUSIONS: A national AED registry may gather information of AEDs on a national level. Although numbers have doubled between 2013-2016 in Sweden, a large proportion is still non-registered. More awareness of the registry and easier registration process is needed. General AED functionality seems high regardless of registered or non-registered AEDs. A key area for future research may be to use AED-registers to ascertain effectiveness of AED programs in terms of actual patient outcome.

Unmanned aerial vehicles (drones) in out-of-hospital-cardiac-arrest.

BACKGROUND: The use of an automated external defibrillator (AED) prior to EMS arrival can increase 30-day survival in out-of-hospital cardiac arrest (OHCA) significantly. Drones or unmanned aerial vehicles (UAV) can fly with high velocity and potentially transport devices such as AEDs to the site of OHCAs. The aim of this explorative study was to investigate the feasibility of a drone system in decreasing response time and delivering an AED. METHODS: Data of Global Positioning System (GPS) coordinates from historical OHCA in Stockholm County was used in a model using a Geographic Information System (GIS) to find suitable placements and visualize response times for the use of an AED equipped drone. Two different geographical models, urban and rural, were calculated using a multi-criteria evaluation (MCE) model. Test-flights with an AED were performed on these locations in rural areas. RESULTS: In total, based on 3,165 retrospective OHCAs in Stockholm County between 2006-2013, twenty locations were identified for the potential placement of a drone. In a GIS-simulated model of urban OHCA, the drone arrived before EMS in 32 % of cases, and the mean amount of time saved was 1.5 min. In rural OHCA the drone arrived before EMS in 93 % of cases with a mean amount of time saved of 19 min. In these rural locations during (n = 13) test flights, latch-release of the AED from low altitude (3-4 m) or landing the drone on flat ground were the safest ways to deliver an AED to the bystander and were superior to parachute release. DISCUSSION: The difference in response time for EMS between urban and rural areas is substantial, as is the possible amount of time saved using this UAV-system. However, yet another technical device needs to fit into the chain of survival. We know nothing of how productive or even counterproductive this system might be in clinical reality. CONCLUSIONS: To use drones in rural areas to deliver an AED in OHCA may be safe and feasible. Suitable placement of drone systems can be designed by using GIS models. The use of an AED equipped drone may have the potential to reduce time to defibrillation in OHCA.

HGVbase: a curated resource describing human DNA variation and phenotype relationships.

The Human Genome Variation Database (HGVbase; http://hgvbase.cgb.ki.se) has provided a curated summary of human DNA variation for more than 5 years, thus facilitating research into DNA sequence variation and human phenotypes. The database has undergone many changes and improvements to accommodate increasing volumes and new types of data. The focus of HGVbase has recently shifted towards information on haplotypes and phenotypes, relationships between phenotypes and DNA variation, and collaborative efforts to provide a global resource for genome-phenome data. Open sharing and precise phenotype definitions are necessary to advance the current understanding of common diseases that are typified by complex aetiologies, small genetic effect sizes and multiple confounding factors that obscure positive study results. Association data will increasingly be collected as part of this new project thrust. This report describes the evolving features of HGVbase, and covers in detail the technological choices we have made to enable efficient storage and data mining of increasingly large and complex data sets.

HGVbase: a human sequence variation database emphasizing data quality and a broad spectrum of data sources.

HGVbase (Human Genome Variation database; http://hgvbase.cgb.ki.se, formerly known as HGBASE) is an academic effort to provide a high quality and non-redundant database of available genomic variation data of all types, mostly comprising single nucleotide polymorphisms (SNPs). Records include neutral polymorphisms as well as disease-related mutations. Online search tools facilitate data interrogation by sequence similarity and keyword queries, and searching by genome coordinates is now being implemented. Downloads are freely available in XML, Fasta, SRS, SQL and tagged-text file formats. Each entry is presented in the context of its surrounding sequence and many records are related to neighboring human genes and affected features therein. Population allele frequencies are included wherever available. Thorough semi-automated data checking ensures internal consistency and addresses common errors in the source information. To keep pace with recent growth in the field, we have developed tools for fully automated annotation. All variants have been uniquely mapped to the draft genome sequence and are referenced to positions in EMBL/GenBank files. Data utility is enhanced by provision of genotyping assays and functional predictions. Recent data structure extensions allow the capture of haplotype and genotype information, and a new initiative (along with BiSC and HUGO-MDI) aims to create a central repository for the broad collection of clinical mutations and associated disease phenotypes of interest.

SNP association studies in Alzheimer's disease highlight problems for complex disease analysis.

Genetic linkage and association analyses are two distinct approaches to understanding the genetic etiology of complex disease. Association analysis has become particularly popular in recent times, but the true utility of the strategy remains uncertain. To try to gain better insight into the relevant issues, we have used genetic association analysis to explore the etiology of Alzheimer's disease. Our empirical findings supplement the theoretical debate, illustrating the general doubtfulness of previous positive findings and the limited ability of typical association studies based on candidate genes to discern true medium-sized signals from false positives. Improvements in genotyping technologies and increasing the number of SNPs tested, without sophisticated allowance for all other issues, could simply lead to an unmanageable overload of false-positive signals, themselves obscuring true disease associations.