TY  - JOUR
AB  - BACKGROUND: Host and environment early-life risk factors are associated with progression of wheezing symptoms over time; however, their individual contribution is relatively small. We hypothesised that the dynamic interactions of these factors with an infant's developing respiratory system are the dominant factor for subsequent wheeze and asthma. METHODS: In this dynamic network analysis we used data from term healthy infants from the Basel-Bern Infant Lung Development (BILD) cohort (435 neonates aged 0-4 weeks recruited in Switzerland between Jan 1, 1999, and Dec 31, 2012) and replicated the findings in the Protection Against Allergy Study in Rural Environments (PASTURE) cohort (498 infants aged 0-12 months recruited in Germany, Switzerland, Austria, France, and Finland between Jan 1, 2002, and Oct 31, 2006). BILD exclusion criteria for the current study were prematurity (<37 weeks), major birth defects, perinatal disease of the neonate, and incomplete follow-up period. PASTURE exclusion criteria were women younger than 18 years, a multiple pregnancy, the sibling of a child was already included in the study, the family intended to move away from the area where the study was conducted, and the family had no telephone connection. Outcome groups were subsequent wheeze, asthma, and healthy. The first outcome was defined as ever wheezed between the age of 2 years and 6 years. Week-by-week correlations of the determining factors with cumulative symptom scores (CSS) were calculated from weeks 2 to 52 (BILD) and weeks 8 to 52 (PASTURE). The complex dynamic interaction between the determining factors and the CSS was assessed via dynamic host-environment correlation network, quantified by a simple descriptor: trajectory function G(t). Wheeze outcomes at age 2-6 years were compared in 335 infants from BILD and 437 infants from PASTURE, and asthma outcomes were analysed at age 6 years in a merged cohort of 783 infants. FINDINGS: CSS was significantly different for wheeze and asthma outcomes and became increasingly important during infancy in direct comparison with all determining factors. Weekly symptoms were tracked for groups of infants, showing a non-linear increase with time. Using logistic regression classification, G(t) distinguished between the healthy group and wheeze or asthma groups (area under the curve>0·97, p<0·0001; sensitivity analysis confirmed significant CSS association with wheeze [BILD p=0·0002 and PASTURE p=0·068]) and G(t) was also able to distinguish between the farming and non-farming exposure groups (p<0·0001). INTERPRETATION: Similarly to other risk factors, CSS had weak sensitivity and specificity to identify risks at the individual level. At group level however, the dynamic host-environment correlation network properties (G(t)) showed excellent discriminative ability for identifying groups of infants with subsequent wheeze and asthma. Results from this study are consistent with the 2018 Lancet Commission on asthma, which emphasised the importance of dynamic interactions between risk factors during development and not the risk factors per se. FUNDING: The Swiss National Science Foundation, the Kühne Foundation, the EFRAIM study EU research grant, the FORALLVENT study EU research grant, and the Leibniz Prize.
AU  - Nahum, U.*
AU  - Gorlanova, O.*
AU  - Decrue, F.*
AU  - Oller, H.*
AU  - Delgado-Eckert, E.*
AU  - Böck, A.*
AU  - Schulzke, S.*
AU  - Latzin, P.*
AU  - Schaub, B.*
AU  - Karvonen, A.M.*
AU  - Lauener, R.*
AU  - Divaret-Chauveau, A.*
AU  - Illi, S.
AU  - Roduit, C.*
AU  - Von Mutius, E.*
AU  - Frey, U.*
AU  - PASTURE Study Group (Ege, M.J.)
C1  - 71861
C2  - 56454
SP  - e718-e728
TI  - Symptom trajectories in infancy for the prediction of subsequent wheeze and asthma in the BILD and PASTURE cohorts: A dynamic network analysis.
JO  - Lancet Digit. Health
VL  - 6
IS  - 10
PY  - 2024
SN  - 2589-7500
ER  - 

TY  - JOUR
AB  - The European Commission's draft for the European Health Data Space (EHDS) aims to empower citizens to access their personal health data and share it with physicians and other health-care providers. It further defines procedures for the secondary use of electronic health data for research and development. Although this planned legislation is undoubtedly a step in the right direction, implementation approaches could potentially result in centralised data silos that pose data privacy and security risks for individuals. To address this concern, we propose federated personal health data spaces, a novel architecture for storing, managing, and sharing personal electronic health records that puts citizens at the centre—both conceptually and technologically. The proposed architecture puts citizens in control by storing personal health data on a combination of personal devices rather than in centralised data silos. We describe how this federated architecture fits within the EHDS and can enable the same features as centralised systems while protecting the privacy of citizens. We further argue that increased privacy and control do not contradict the use of electronic health data for research and development. Instead, data sovereignty and transparency encourage active participation in studies and data sharing. This combination of privacy-by-design and transparent, privacy-preserving data sharing can enable health-care leaders to break the privacy-exploitation barrier, which currently limits the secondary use of health data in many cases.
AU  - Raab, R.*
AU  - Küderle, A.*
AU  - Zakreuskaya, A.*
AU  - Stern, A.D.*
AU  - Klucken, J.*
AU  - Kaissis, G.
AU  - Rueckert, D.*
AU  - Boll, S.*
AU  - Eils, R.*
AU  - Wagener, H.*
AU  - Eskofier, B.M.*
C1  - 68217
C2  - 54766
CY  - Radarweg 29, 1043 Nx Amsterdam, Netherlands
SP  - e840-e847
TI  - Federated electronic health records for the European Health Data Space.
JO  - Lancet Digit. Health
VL  - 5
IS  - 11
PB  - Elsevier
PY  - 2023
SN  - 2589-7500
ER  -