| 1. |
- de Rubeis, Tullio, et al.
(författare)
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A novel method for daylight harvesting optimization based on lighting simulation and data-driven optimal control
- 2020
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Ingår i: Proceedings of Building Simulation 2019: 16th Conference of IBPSA. - : IBPSA. - 9781775052012 ; 16, s. 1036-1043
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Konferensbidrag (refereegranskat)abstract
- To date, the best daylighting assessment technique is provided by climate-based simulation tools, which require remarkable efforts to create and calibrate realistic models. The data-driven approaches represent an interesting opportunity to support the physics-based modelling. This work proposes a novel method aimed at the optimization of energy use and luminous environment for a set of lighting control system solutions. The method processes experimental data of occupancy and lighting switch on/off events of an individual side-lit office in an academic building at high latitude via DIVA4Rhino; then, the climate-based simulation results provide the data necessary for the data-driven static optimal control that allow different control strategies of the lighting systems according to their lighting power density. The control allows optimal strategies giving priority to either energy saving or luminous environment improvement, depending on the energy efficiency of the lighting installation, while guaranteeing comfort base level. The results show that the method allows to achieve energy savings up to 18.6% by maintaining high visual comfort levels.
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| 2. |
- Giordano, Pier Francesco, et al.
(författare)
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Value of Seismic Structural Health Monitoring Information for Management of Civil Structures Under Different Prior Knowledge Scenarios
- 2023
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Ingår i: Experimental Vibration Analysis for Civil Engineering Structures - EVACES 2023 - Volume 2. - 2366-2565 .- 2366-2557. - 9783031391163 ; 433 LNCE, s. 11-20
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Konferensbidrag (refereegranskat)abstract
- Seismic Structural Health Monitoring (S2HM) provides information about the integrity of civil structures and infrastructure in the aftermath of an earthquake. However, quantifying the benefits of S2HM information is crucial to justify the investment in S2HM systems. The benefit of S2HM can be computed through the Value of Information (VoI) from Bayesian decision theory, which compares the expected costs of alternative actions with prior information (without S2HM information) and with S2HM information (before it is available). This paper aims to analyze the VoI from S2HM in civil structures and infrastructure, considering different prior information scenarios regarding seismic action. The theoretical framework of the VoI is adapted to address three prior knowledge scenarios: (i) full information about the earthquake is available (ii) the intensity measure of the seismic motion is obtained using ground motion models, and (iii) no information is available. A numerical case study of a structure in a seismic area is presented, and the effect of different prior information scenarios on the VoI is discussed. The results show that VoI is higher when the prior information is low, indicating that monitoring systems are more valuable when uncertainty about seismic actions is high.
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| 3. |
- Ahmmad, Sheikh Rishad, et al.
(författare)
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Impact of Building Geometry, Window Types, and Materials on Daylighting Performance of Livestock Buildings
- 2024
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Ingår i: 15th International Congress on Agricultural Mechanization and Energy in Agriculture - ANKAgEng 2023. - 2366-2565 .- 2366-2557. - 9783031515781 ; 458 LNCE, s. 262-274
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Konferensbidrag (refereegranskat)abstract
- The availability and quality of natural light in livestock buildings affect the welfare and productivity of animals and their caretakers, while affecting the energy performance of the buildings. This study investigated the impact of different building properties on daylight conditions of livestock buildings. The study was conducted via parametric daylight simulations in Climatestudio. Firstly, building geometries with different facade orientations, width-to-length ratios, and roof pitches were simulated. Secondly, different glazing types, sizes, and locations were considered for their respective daylight performance. Finally, the use of different materials for the facade, floor and roof of the buildings were simulated and comparatively analysed. The study analysed the simulation results to assess daylight availability in relation to different building properties. The results provided insight that can help determine building geometry, window properties, and material selection during the design process. Overall, the study highlighted the importance of further research and development of design guidelines and standards that incorporate these factors to improve the daylighting performance of these buildings, while ensuring animal welfare and productivity.
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| 4. |
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| 5. |
- Bellotti, Francesco, et al.
(författare)
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Alessandro De Gloria-1955-2023
- 2023
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Ingår i: INTERNATIONAL JOURNAL OF SERIOUS GAMES. - : Serious Games Society. - 2384-8766. ; 10:1, s. 2-3
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)
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| 6. |
- Capo, Eric, et al.
(författare)
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Lake sedimentary dna research on past terrestrial and aquatic biodiversity: Overview and recommendations
- 2021
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Ingår i: Quaternary. - : MDPI. - 2571-550X. ; 4:1
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Forskningsöversikt (refereegranskat)abstract
- The use of lake sedimentary DNA to track the long-term changes in both terrestrial and aquatic biota is a rapidly advancing field in paleoecological research. Although largely applied nowadays, knowledge gaps remain in this field and there is therefore still research to be conducted to ensure the reliability of the sedimentary DNA signal. Building on the most recent literature and seven original case studies, we synthesize the state-of-the-art analytical procedures for effective sampling, extraction, amplification, quantification and/or generation of DNA inventories from sedimentary ancient DNA (sedaDNA) via high-throughput sequencing technologies. We provide recommendations based on current knowledge and best practises.
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| 7. |
- Condoluci, Adalgisa, et al.
(författare)
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International prognostic score for asymptomatic early-stage chronic lymphocytic leukemia
- 2020
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Ingår i: Blood. - : American Society of Hematology. - 0006-4971 .- 1528-0020. ; 135:21, s. 1859-1869
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Tidskriftsartikel (refereegranskat)abstract
- Most patients with chronic lymphocytic leukemia (CLL) are diagnosed with early-stage disease and managed with active surveillance. The individual course of patients with early-stage CLL is heterogeneous, and their probability of needing treatment is hardly anticipated at diagnosis. We aimed at developing an international prognostic score to predict time to first treatment (TTFT) in patients with CLL with early, asymptomatic disease (International Prognostic Score for Early-stage CLL [IPS-E]). Individual patient data from 11 international cohorts of patients with early-stage CLL (n = 4933) were analyzed to build and validate the prognostic score. Three covariates were consistently and independently correlated with TTFT: unmutated immunoglobulin heavy variable gene (IGHV), absolute lymphocyte count higher than 15 x 10(9)/L, and presence of palpable lymph nodes. The IPS-E was the sum of the covariates (1 point each), and separated low-risk (score 0), intermediate-risk (score 1), and high-risk (score 2-3) patients showing a distinct TTFT. The score accuracy was validated in 9 cohorts staged by the Binet system and 1 cohort staged by the Rai system. The C-index was 0.74 in the training series and 0.70 in the aggregate of validation series. By meta-analysis of the training and validation cohorts, the 5-year cumulative risk for treatment start was 8.4%, 28.4%, and 61.2% among low-risk, intermediate-risk, and high-risk patients, respectively. The IPS-E is a simple and robust prognostic model that predicts the likelihood of treatment requirement in patients with early-stage CLL. The IPS-E can be useful in clinical management and in the design of early intervention clinical trials.
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| 8. |
- Costa, Giancarlo, et al.
(författare)
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Forecasting the Value of Vibration-Based Monitoring Information in Structural Integrity Management
- 2023
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Ingår i: Experimental Vibration Analysis for Civil Engineering Structures - EVACES 2023 - Volume 2. - 2366-2565 .- 2366-2557. - 9783031391163 ; 433 LNCE, s. 21-31
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Konferensbidrag (refereegranskat)abstract
- Structural deterioration and increasing load demand are two main factors that compromise the serviceability and functioning of civil constructions. The vastity of the bridge portfolio and the few resources available require maintenance optimization to provide the required user safety. In this context, vibration-based monitoring may provide information about the structural performance and support decisions in structural integrity management. In this paper, a novel definition of global and local information from a multi-sensor vibration-based system is provided and implemented for the cases of a parallel ductile Daniels system and a serial system. Furthermore, local and global integrity management actions are modeled and analyzed. Vibration-based information is used to optimize the maintenance strategy in terms of optimal action implementation. Decision and value of predicted information analyses are used to drive maintenance optimization. Indeed, each outcome of the monitoring system and maintenance strategy is associated with an expected utility and cost. Optimization is performed by determining the lowest expected cost corresponding to a maintenance strategy.
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| 9. |
- de Rubeis, Tullio, et al.
(författare)
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Learning lighting models for optimal control of lighting system via experimental and numerical approach
- 2021
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Ingår i: Science and Technology for the Built Environment. - : Informa UK Limited. - 2374-4731 .- 2374-474X. ; 27:8, s. 1018-1030
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Tidskriftsartikel (refereegranskat)abstract
- Lighting control systems have been traditionally employed to reduce energy use for lighting by, for example, maximizing daylight harvesting. When highly efficient light sources are installed and for tasks where maintaining target illuminance is particularly important, designers may decide to prioritize the latter together with energy use. In this context, the use of data-driven algorithms is emerging. In this paper different data-driven approaches are proposed as lighting control systems, to maximize daylight harvestingand to optimize energy consumption. The approaches employ experimental data of occupancy and lighting switch on/off events of a private side-lit office in an academic building. The office is later modeled in DIVA4Rhino to provide yearly illuminances and electric lighting dimming profiles. These data are used to implement data-driven optimal controls. Three different approaches have beenemployed: Regression Trees; Random Forests; Least Squares. Different lighting control strategies have been hypothesized based on installed Lighting Power Densities (LPD). Results show that Regression Trees outperforms both Least Squares and Random Forests, in terms of model accuracy and control performance.
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| 10. |
- Figueiredo, Eloi, et al.
(författare)
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Does Climate Change Impact Long-Term Damage Detection in Bridges?
- 2023
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Ingår i: Experimental Vibration Analysis for Civil Engineering Structures - EVACES 2023 - Volume 2. - 2366-2565 .- 2366-2557. - 9783031391163 ; 433 LNCE, s. 432-440
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Konferensbidrag (refereegranskat)abstract
- The effects of operational and environmental variability have been posed as one of the biggest challenges to transit structural health monitoring (SHM) from research to practice. To deal with that, machine learning algorithms have been proposed to learn from experience based on a reference data set. These machine learning algorithms work well based on the premise that the basis of the reference data does not change over time. Meanwhile, climate change has been posed as one of the biggest concerns for the health of bridges. Although the uncertainty associated with the magnitude of the change is large, the fact that our climate is changing is unequivocal. Therefore, it is expected that climate change can be another source of environmental variability, especially the temperature. So, what happens if the mean temperature changes over time? Will it significantly affect the dynamics of bridges? Will the reference data set used for the training algorithms become outdated? Are machine learning algorithms robust enough to deal with those changes? This paper summarizes a preliminary study about the impact of climate change on the long-term damage detection performance of classifiers rooted in machine learning algorithms trained with one-year data from the Z-24 Bridge in Switzerland. The performance will be tested for three climate change scenarios in three future periods centered in 2035, 2060, and 2085.
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| 11. |
- Flammini, Francesco, Senior Lecturer, 1978-, et al.
(författare)
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A Petri Net pattern-oriented approach for the design of physical protection systems
- 2014
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Ingår i: Computer Safety, Reliability, and Security. SAFECOMP 2014. - Cham : Springer. - 9783319105055 ; , s. 230-245
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Konferensbidrag (refereegranskat)abstract
- The design of complex Physical Protection Systems (PPSs) still raises some challenges despite the high number of technologies for smart surveillance. One reason is the lack of effective methodologies able to support the PPS designer in evaluating the effectiveness of the system on varying design choices. Indeed, an estimation of the system vulnerability should be performed in the early phases of the PPS design. This paper introduces a model-based methodology for the quantitative estimation of the vulnerability of a PPS. The proposed methodology clearly defines a compositional approach which takes advantage from the usage of predefined patterns for the creation of vulnerability models. In particular, the paper proposes some Petri Net patterns able to capture the behavioural aspects of several assets and actors involved in attacking/defending scenarios. © 2014 Springer International Publishing.
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| 12. |
- Gentile, Francesco, et al.
(författare)
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Deep Docking : A Deep Learning Platform for Augmentation of Structure Based Drug Discovery
- 2020
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Ingår i: ACS central science. - : American Chemical Society (ACS). - 2374-7943 .- 2374-7951. ; 6:6, s. 939-949
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Tidskriftsartikel (refereegranskat)abstract
- Drug discovery is a rigorous process that requires billion dollars of investments and decades of research to bring a molecule from bench to a bedside. While virtual docking can significantly accelerate the process of drug discovery, it ultimately lags the current rate of expansion of chemical databases that already exceed billions of molecular records. This recent surge of small molecules availability presents great drug discovery opportunities, but also demands much faster screening protocols. In order to address this challenge, we herein introduce Deep Docking (DD), a novel deep learning platform that is suitable for docking billions of molecular structures in a rapid, yet accurate fashion. The DD approach utilizes quantitative structure-activity relationship (QSAR) deep models trained on docking scores of subsets of a chemical library to approximate the docking outcome for yet unprocessed entries and, therefore, to remove unfavorable molecules in an iterative manner. The use of DD methodology in conjunction with the FRED docking program allowed rapid and accurate calculation of docking scores for 1.36 billion molecules from the ZINC15 library against 12 prominent target proteins and demonstrated up to 100-fold data reduction and 6000-fold enrichment of high scoring molecules (without notable loss of favorably docked entities). The DD protocol can readily be used in conjunction with any docking program and was made publicly available.
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| 13. |
- Gentile, Niko, et al.
(författare)
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Teaching Building Performance Simulations to students with a diverse background by using a Control Method
- 2020
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Ingår i: Proceedings of Building Simulation 2019: 16th Conference of IBPSA. - : IBPSA. - 2522-2708. - 9781775052012 ; 3, s. 1579-1586
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Konferensbidrag (refereegranskat)abstract
- Performing advanced and reliable Building Performance Simulations (BPS) in order to study, for example, the energy use of future buildings is an important ability to gain as a future energy specialist. Learning and understanding BPS software and results may be arduous, notably for groups with disparate knowledge. Frustration may arise among students, making learning even more difficult. In this paper, we use questionnaires to evaluate the introduction of a so-called “control method” in the first BPS teaching module of a Master Programme attended by students with diverse backgrounds. The control method verifies – or controls - the results of a basic energy simulation of a traditional shoebox model with those obtained via an Excel sheet based on building code. Through a smoother and guided introduction of BPS to novices, the method aims to increase the level of confidence in BPS tools and more independence in the work. The questionnaires’ answers suggest that the method fulfils its goals to a reasonable extent.
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| 14. |
- Huston, Grayson P., et al.
(författare)
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Detection of fish sedimentary DNA in aquatic systems : A review of methodological challenges and future opportunities
- 2023
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Ingår i: Environmental DNA. - : John Wiley & Sons. - 2637-4943. ; 5:6, s. 1449-1472
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Tidskriftsartikel (refereegranskat)abstract
- Environmental DNA studies have proliferated over the last decade, with promising data describing the diversity of organisms inhabiting aquatic and terrestrial ecosystems. The recovery of DNA present in the sediment of aquatic systems (sedDNA) has provided short- and long-term data on a wide range of biological groups (e.g., photosynthetic organisms, zooplankton species) and has advanced our understanding of how environmental changes have affected aquatic communities. However, substantial challenges remain for recovering the genetic material of macro-organisms (e.g., fish) from sediments, preventing complete reconstructions of past aquatic ecosystems, and limiting our understanding of historic, higher trophic level interactions. In this review, we outline the biotic and abiotic factors affecting the production, persistence, and transport of fish DNA from the water column to the sediments, and address questions regarding the preservation of fish DNA in sediment. We identify sources of uncertainties around the recovery of fish sedDNA arising during the sedDNA workflow. This includes methodological issues related to experimental design, DNA extraction procedures, and the selected molecular method (quantitative PCR, digital PCR, metabarcoding, metagenomics). By evaluating previous efforts (published and unpublished works) to recover fish sedDNA signals, we provide suggestions for future research and propose troubleshooting workflows for the effective detection and quantification of fish sedDNA. With further research, the use of sedDNA has the potential to be a powerful tool for inferring fish presence over time and reconstructing their population and community dynamics.
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| 15. |
- Kanters, Jouri, et al.
(författare)
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Testing an experiential learning approach to building performance simulations
- 2023
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Ingår i: Proceedings of the 2nd Joint International Conference of EUCEET & AECEF. ; 1
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Konferensbidrag (refereegranskat)abstract
- Novices often find learning building performance simulation (BPS) overwhelming, juggling theory, simulation tools, and result interpretation simultaneously. We applied Beausoleil-Morrison's conceptualization of Kolb's experiential learning approach to BPS. Testing it in a master course, we observed enhanced critical thinking, problem-solving, and skill development. Here we discuss the process leading to the implementation of the experiential learning and we illustrate the practical implementation in our course.
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| 16. |
- Lin, Qi, et al.
(författare)
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Transient social-ecological dynamics reveal signals of decoupling in a highly disturbed Anthropocene landscape
- 2024
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Ingår i: Proceedings of the National Academy of Sciences of the United States of America. - : Proceedings of the National Academy of Sciences (PNAS). - 0027-8424 .- 1091-6490. ; 121:17
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Tidskriftsartikel (refereegranskat)abstract
- Understanding the transient dynamics of interlinked social-ecological systems (SES) is imperative for assessing sustainability in the Anthropocene. However, how to identify critical transitions in real-world SES remains a formidable challenge. In this study, we present an evolutionary framework to characterize these dynamics over an extended historical timeline. Our approach leverages multidecadal rates of change in socioeconomic data, paleoenvironmental, and cutting-edge sedimentary ancient DNA records from China's Yangtze River Delta, one of the most densely populated and intensively modified landscapes on Earth. Our analysis reveals two significant social-ecological transitions characterized by contrasting interactions and feedback spanning several centuries. Initially, the regional SES exhibited a loosely connected and ecologically sustainable regime. Nevertheless, starting in the 1950s, an increasingly interconnected regime emerged, ultimately resulting in the crossing of tipping points and an unprecedented acceleration in soil erosion, water eutrophication, and ecosystem degradation. Remarkably, the second transition occurring around the 2000s, featured a notable decoupling of socioeconomic development from ecoenvironmental degradation. This decoupling phenomenon signifies a more desirable reconfiguration of the regional SES, furnishing essential insights not only for the Yangtze River Basin but also for regions worldwide grappling with similar sustainability challenges. Our extensive multidecadal empirical investigation underscores the value of coevolutionary approaches in understanding and addressing social-ecological system dynamics.
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| 17. |
- Malara, Natalia, et al.
(författare)
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Multicancer screening test based on the detection of circulating non haematological proliferating atypical cells
- 2024
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Ingår i: Molecular Cancer. - : BMC. - 1476-4598. ; 23:1
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- Background the problem in early diagnosis of sporadic cancer is understanding the individual's risk to develop disease. In response to this need, global scientific research is focusing on developing predictive models based on non-invasive screening tests. A tentative solution to the problem may be a cancer screening blood-based test able to discover those cell requirements triggering subclinical and clinical onset latency, at the stage when the cell disorder, i.e. atypical epithelial hyperplasia, is still in a subclinical stage of proliferative dysregulation. Methods a well-established procedure to identify proliferating circulating tumor cells was deployed to measure the cell proliferation of circulating non-haematological cells which may suggest tumor pathology. Moreover, the data collected were processed by a supervised machine learning model to make the prediction. Results the developed test combining circulating non-haematological cell proliferation data and artificial intelligence shows 98.8% of accuracy, 100% sensitivity, and 95% specificity. Conclusion this proof of concept study demonstrates that integration of innovative non invasive methods and predictive-models can be decisive in assessing the health status of an individual, and achieve cutting-edge results in cancer prevention and management.
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| 18. |
- Parducci, Laura, 1965-, et al.
(författare)
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Ancient plant DNA in lake sediments
- 2017
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Ingår i: New Phytologist. - : Wiley. - 0028-646X .- 1469-8137. ; 214:3, s. 924-942
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Forskningsöversikt (refereegranskat)abstract
- Recent advances in sequencing technologies now permit the analyses of plant DNA from fossil samples (ancient plant DNA, plant aDNA), and thus enable the molecular reconstruction of palaeofloras. Hitherto, ancient frozen soils have proved excellent in preserving DNA molecules, and have thus been the most commonly used source of plant aDNA. However, DNA from soil mainly represents taxa growing a few metres from the sampling point. Lakes have larger catchment areas and recent studies have suggested that plant a DNA from lake sediments is a more powerful tool for palaeofloristic reconstruction. Furthermore, lakes can be found globally in nearly all environments, and are therefore not limited to perennially frozen areas. Here, we review the latest approaches and methods for the study of plant aDNA from lake sediments and discuss the progress made up to the present. We argue that a DNA analyses add new and additional perspectives for the study of ancient plant populations and, in time, will provide higher taxonomic resolution and more precise estimation of abundance. Despite this, key questions and challenges remain for such plant aDNA studies. Finally, we provide guidelines on technical issues, including lake selection, and we suggest directions for future research on plant aDNA studies in lake sediments.
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| 19. |
- Vergaro, Giuseppe, et al.
(författare)
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Circulating levels and prognostic cut-offs of sST2, hs-cTnT, and NT-proBNP in women vs. men with chronic heart failure
- 2022
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Ingår i: ESC Heart Failure. - : John Wiley & Sons. - 2055-5822. ; 9:4, s. 2084-2095
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Tidskriftsartikel (refereegranskat)abstract
- Aims To define plasma concentrations, determinants, and optimal prognostic cut-offs of soluble suppression of tumorigenesis-2 (sST2), high-sensitivity cardiac troponin T (hs-cTnT), and N-terminal pro-B-type natriuretic peptide (NT-proBNP) in women and men with chronic heart failure (HF). Methods and results Individual data of patients from the Biomarkers In Heart Failure Outpatient Study (BIOS) Consortium with sST2, hs-cTnT, and NT-proBNP measured were analysed. The primary endpoint was a composite of 1 year cardiovascular death and HF hospitalization. The secondary endpoints were 5 year cardiovascular and all-cause death. The cohort included 4540 patients (age 67 +/- 12 years, left ventricular ejection fraction 33 +/- 13%, 1111 women, 25%). Women showed lower sST2 (24 vs. 27 ng/mL, P < 0.001) and hs-cTnT level (15 vs. 20 ng/L, P < 0.001), and similar concentrations of NT-proBNP (1540 vs. 1505 ng/L, P = 0.408). Although the three biomarkers were confirmed as independent predictors of outcome in both sexes, the optimal prognostic cut-off was lower in women for sST2 (28 vs. 31 ng/mL) and hs-cTnT (22 vs. 25 ng/L), while NT-proBNP cut-off was higher in women (2339 ng/L vs. 2145 ng/L). The use of sex-specific cut-offs improved risk prediction compared with the use of previously standardized prognostic cut-offs and allowed to reclassify the risk of many patients, to a greater extent in women than men, and for hs-cTnT than sST2 or NT-proBNP. Specifically, up to 18% men and up to 57% women were reclassified, by using the sex-specific cut-off of hs-cTnT for the endpoint of 5 year cardiovascular death. Conclusions In patients with chronic HF, concentrations of sST2 and hs-cTnT, but not of NT-proBNP, are lower in women. Lower sST2 and hs-cTnT and higher NT-proBNP cut-offs for risk stratification could be used in women.
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| 20. |
- Vergaro, Giuseppe, et al.
(författare)
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NT-proBNP for Risk Prediction in Heart Failure : Identification of Optimal Cutoffs Across Body Mass Index Categories
- 2021
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Ingår i: JACC. Heart failure. - : American College of Cardiology. - 2213-1779 .- 2213-1787. ; 9:9, s. 653-663
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Tidskriftsartikel (refereegranskat)abstract
- ObjectivesThe goal of this study was to assess the predictive power of N-terminal pro–B-type natriuretic peptide (NT-proBNP) and the decision cutoffs in heart failure (HF) across body mass index (BMI) categories.BackgroundConcentrations of NT-proBNP predict outcome in HF. Although the influence of BMI to reduce levels of NT-proBNP is known, the impact of obesity on prognostic value remains uncertain.MethodsIndividual data from the BIOS (Biomarkers In Heart Failure Outpatient Study) consortium were analyzed. Patients with stable HF were classified as underweight (BMI <18.5 kg/m2), normal weight (BMI 18.5-24.9 kg/m2), overweight (BMI 25-29.9 kg/m2), and mildly (BMI 30-34.9 kg/m2), moderately (BMI 35-39.9 kg/m2), or severely (BMI ≥40 kg/m2) obese. The prognostic role of NT-proBNP was tested for the endpoints of all-cause and cardiac death.ResultsThe study population included 12,763 patients (mean age 66 ± 12 years; 25% women; mean left ventricular ejection fraction 33% ± 13%). Most patients were overweight (n = 5,176), followed by normal weight (n = 4,299), mildly obese (n = 2,157), moderately obese (n = 612), severely obese (n = 314), and underweight (n = 205). NT-proBNP inversely correlated with BMI (β = –0.174 for 1 kg/m2; P < 0.001). Adding NT-proBNP to clinical models improved risk prediction across BMI categories, with the exception of severely obese patients. The best cutoffs of NT-proBNP for 5-year all-cause death prediction were lower as BMI increased (3,785 ng/L, 2,193 ng/L, 1,554 ng/L, 1,045 ng/L, 755 ng/L, and 879 ng/L, for underweight, normal weight, overweight, and mildly, moderately, and severely obese patients, respectively) and were higher in women than in men.ConclusionsNT-proBNP maintains its independent prognostic value up to 40 kg/m2 BMI, and lower optimal risk-prediction cutoffs are observed in overweight and obese patients.
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