نتائج البحث - "Addolorato G."

الوصف: Background: Future trends in disease burden and drivers of health are of great interest to policy makers and the public at large. This information can be used for policy and long-term health investment, planning, and prioritisation. We have expanded and improved upon previous forecasts produced as part of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) and provide a reference forecast (the most likely future), and alternative scenarios assessing disease burden trajectories if selected sets of risk factors were eliminated from current levels by 2050. Methods: Using forecasts of major drivers of health such as the Socio-demographic Index (SDI; a composite measure of lag-distributed income per capita, mean years of education, and total fertility under 25 years of age) and the full set of risk factor exposures captured by GBD, we provide cause-specific forecasts of mortality, years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life-years (DALYs) by age and sex from 2022 to 2050 for 204 countries and territories, 21 GBD regions, seven super-regions, and the world. All analyses were done at the cause-specific level so that only risk factors deemed causal by the GBD comparative risk assessment influenced future trajectories of mortality for each disease. Cause-specific mortality was modelled using mixed-effects models with SDI and time as the main covariates, and the combined impact of causal risk factors as an offset in the model. At the all-cause mortality level, we captured unexplained variation by modelling residuals with an autoregressive integrated moving average model with drift attenuation. These all-cause forecasts constrained the cause-specific forecasts at successively deeper levels of the GBD cause hierarchy using cascading mortality models, thus ensuring a robust estimate of cause-specific mortality. For non-fatal measures (eg, low back pain), incidence and prevalence were forecasted from mixed-effects models with SDI as the main covariate, and YLDs ...

العلاقة: http://hdl.handle.net/1959.4/102521Test; https://doi.org/10.1016/S0140-6736Test(24)00685-8

الإتاحة: https://doi.org/10.1016/S0140-6736Test(24)00685-8
http://hdl.handle.net/1959.4/102521Test

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4

دورية أكاديمية

Global burden and strength of evidence for 88 risk factors in 204 countries and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

المؤلفون: Brauer, M, Roth, GA, Aravkin, AY, Zheng, P, Abate, KH, Abate, YH, Abbafati, C, Abbasgholizadeh, R, Abbasi, MA, Abbasian, M, Abbasifard, M, Abbasi-Kangevari, M, Abd ElHafeez, S, Abd-Elsalam, S, Abdi, P, Abdollahi, M, Abdoun, M, Abdulah, DM, Abdullahi, A, Abebe, M, Abedi, A, Abegaz, TM, Abeldaño Zuñiga, RA, Abiodun, O, Abiso, TL, Aboagye, RG, Abolhassani, H, Abouzid, M, Aboye, GB, Abreu, LG, Abualruz, H, Abubakar, B, Abu-Gharbieh, E, Abukhadijah, HJJ, Aburuz, S, Abu-Zaid, A, Adane, MM, Addo, IY, Addolorato, G, Adedoyin, RA, Adekanmbi, V, Aden, B, Adetunji, JB, Adeyeoluwa, TE, Adha, R, Adibi, A, Adnani, QES, Adzigbli, LA, Afolabi, AA, Afolabi, RF, Afshin, A, Afyouni, S, Afzal, MS, Afzal, S, Agampodi, SB, Agbozo, F, Aghamiri, S, Agodi, A, Agrawal, A, Agyemang-Duah, W, Ahinkorah, BO, Ahmad, A, Ahmad, D, Ahmad, F, Ahmad, N, Ahmad, S, Ahmad, T, Ahmed, A, Ahmed, LA, Ahmed, MB, Ahmed, S, Ahmed, SA, Ajami, M, Akalu, GT, Akara, EM, Akbarialiabad, H, Akhlaghi, S, Akinosoglou, K, Akinyemiju, T, Akkaif, MA, Akkala, S, Akombi-Inyang, B, Al Awaidy, S, Al Hasan, SM, Alahdab, F, AL-Ahdal, TMA, Alalalmeh, SO, Alalwan, TA, Al-Aly, Z, Alam, K, Alam, N, Alanezi, FM, Alanzi, TM, Albakri, A, AlBataineh, MT, Aldhaleei, WA, Aldridge, RW, Maulik, Pallab Kumar, Godinho, Myron, Biswas, Raaj Kishore, Dai-Keller, Zhaoli, Huda, Md Nazmul, Boufous, Soufiane, Schutte, Alta, Okeke, Sylvester, Si, Yafei

المصدر: urn:ISSN:0140-6736 ; urn:ISSN:1474-547X ; The Lancet, 403, 10440, 2162-2203

الوصف: Background: Understanding the health consequences associated with exposure to risk factors is necessary to inform public health policy and practice. To systematically quantify the contributions of risk factor exposures to specific health outcomes, the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 aims to provide comprehensive estimates of exposure levels, relative health risks, and attributable burden of disease for 88 risk factors in 204 countries and territories and 811 subnational locations, from 1990 to 2021. Methods: The GBD 2021 risk factor analysis used data from 54 561 total distinct sources to produce epidemiological estimates for 88 risk factors and their associated health outcomes for a total of 631 risk–outcome pairs. Pairs were included on the basis of data-driven determination of a risk–outcome association. Age-sex-location-year-specific estimates were generated at global, regional, and national levels. Our approach followed the comparative risk assessment framework predicated on a causal web of hierarchically organised, potentially combinative, modifiable risks. Relative risks (RRs) of a given outcome occurring as a function of risk factor exposure were estimated separately for each risk–outcome pair, and summary exposure values (SEVs), representing risk-weighted exposure prevalence, and theoretical minimum risk exposure levels (TMRELs) were estimated for each risk factor. These estimates were used to calculate the population attributable fraction (PAF; ie, the proportional change in health risk that would occur if exposure to a risk factor were reduced to the TMREL). The product of PAFs and disease burden associated with a given outcome, measured in disability-adjusted life-years (DALYs), yielded measures of attributable burden (ie, the proportion of total disease burden attributable to a particular risk factor or combination of risk factors). Adjustments for mediation were applied to account for relationships involving risk factors that act indirectly on outcomes via ...

العلاقة: http://hdl.handle.net/1959.4/102520Test; https://doi.org/10.1016/S0140-6736Test(24)00933-4

الإتاحة: https://doi.org/10.1016/S0140-6736Test(24)00933-4
http://hdl.handle.net/1959.4/102520Test

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5

دورية أكاديمية

Global burden and strength of evidence for 88 risk factors in 204 countries and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

المؤلفون: Brauer, Michael, Roth, Gregory A., Abbasifard, Mitra, Abbasi-Kangevari, Mohsen, Abd ElHafeez, Samar, Abd-Elsalam, Sherief, Abdi, Parsa, Abdollahi, Mohammad, Abdoun, Meriem, Abdulah, Deldar Morad, Abdullahi, Auwal, Abebe, Mesfin, Aravkin, Aleksandr Y., Abedi, A, Abegaz, TM, Abeldaño Zuñiga, RA, Abiodun, O, Abiso, TL, Aboagye, RG, Abolhassani, H, Abouzid, M, Aboye, GB, Zheng, Peng, Abreu, LG, Abualruz, H, Abubakar, B, Abu-Gharbieh, E, Abukhadijah, HJJ, Aburuz, S, Abu-Zaid, A, Adane, MM, Addo, IY, Addolorato, G, Abate, Kalkidan Hassen, Adedoyin, RA, Adekanmbi, V, Aden, B, Adetunji, JB, Adeyeoluwa, TE, Adha, R, Adibi, A, Adnani, QES, Adzigbli, LA, Afolabi, AA, Abate, Yohannes Habtegiorgis, Afolabi, RF, Afshin, A, Afyouni, S, Afzal, MS, Afzal, S, Agampodi, SB, Agbozo, F, Aghamiri, S, Agodi, A, Agrawal, A, Abbafati, Cristiana, Agyemang-Duah, W, Ahinkorah, BO, Ahmad, A, Ahmad, D, Ahmad, F, Ahmad, N, Ahmad, S, Ahmad, T, Ahmed, A, Abbasgholizadeh, Rouzbeh, Ahmed, LA, Ahmed, MB, Ahmed, S, Ahmed, SA, Ajami, M, Akalu, GT, Akara, EM, Akbarialiabad, H, Akhlaghi, S, Abbasi, Madineh Akram, Akinosoglou, K, Akinyemiju, T, Akkaif, MA, Akkala, S, Akombi-Inyang, B, Al Awaidy, S, Al Hasan, SM, Alahdab, F, AL-Ahdal, TMA, Alalalmeh, SO, Abbasian, Mohammadreza, Alalwan, TA, Al-Aly, Z, Alam, K, Alam, N, Alanezi, FM, Alanzi, TM, Albakri, A, AlBataineh, MT, Pond, Constance Dimity, Atorkey, Prince

المساهمون: The University of Newcastle. College of Health, Medicine & Wellbeing, School of Medicine and Public Health

مصطلحات موضوعية: global health, global burden of disease, risk factors, risk assessment

الوصف: Background: Understanding the health consequences associated with exposure to risk factors is necessary to inform public health policy and practice. To systematically quantify the contributions of risk factor exposures to specific health outcomes, the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 aims to provide comprehensive estimates of exposure levels, relative health risks, and attributable burden of disease for 88 risk factors in 204 countries and territories and 811 subnational locations, from 1990 to 2021. Methods: The GBD 2021 risk factor analysis used data from 54 561 total distinct sources to produce epidemiological estimates for 88 risk factors and their associated health outcomes for a total of 631 risk–outcome pairs. Pairs were included on the basis of data-driven determination of a risk–outcome association. Age-sex-location-year-specific estimates were generated at global, regional, and national levels. Our approach followed the comparative risk assessment framework predicated on a causal web of hierarchically organised, potentially combinative, modifiable risks. Relative risks (RRs) of a given outcome occurring as a function of risk factor exposure were estimated separately for each risk–outcome pair, and summary exposure values (SEVs), representing risk-weighted exposure prevalence, and theoretical minimum risk exposure levels (TMRELs) were estimated for each risk factor. These estimates were used to calculate the population attributable fraction (PAF; ie, the proportional change in health risk that would occur if exposure to a risk factor were reduced to the TMREL). The product of PAFs and disease burden associated with a given outcome, measured in disability-adjusted life-years (DALYs), yielded measures of attributable burden (ie, the proportion of total disease burden attributable to a particular risk factor or combination of risk factors). Adjustments for mediation were applied to account for relationships involving risk factors that act indirectly on outcomes via ...

العلاقة: The Lancet Vol. 403, Issue 10440, 18–24 May 2024, p. 2162-2203; http://hdl.handle.net/1959.13/1505865Test; uon:55761

الإتاحة: http://hdl.handle.net/1959.13/1505865Test

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6

دورية أكاديمية

Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

المؤلفون: Naghavi, M, Ong, KL, Aali, A, Ababneh, HS, Abate, YH, Abbafati, C, Abbasgholizadeh, R, Abbasian, M, Abbasi-Kangevari, M, Abbastabar, H, Abd ElHafeez, S, Abdelmasseh, M, Abd-Elsalam, S, Abdelwahab, A, Abdollahi, M, Abdollahifar, MA, Abdoun, M, Abdulah, DM, Abdullahi, A, Abebe, M, Abebe, SS, Abedi, A, Abegaz, KH, Abhilash, ES, Abidi, H, Abiodun, O, Aboagye, RG, Abolhassani, H, Abolmaali, M, Abouzid, M, Aboye, GB, Abreu, LG, Abrha, WA, Abtahi, D, Abu Rumeileh, S, Abualruz, H, Abubakar, B, Abu-Gharbieh, E, Abu-Rmeileh, NM, Aburuz, S, Abu-Zaid, A, Accrombessi, MMK, Adal, TG, Adamu, AA, Addo, IY, Addolorato, G, Adebiyi, AO, Adekanmbi, V, Adepoju, AV, Adetunji, CO, Adetunji, JB, Adeyeoluwa, TE, Adeyinka, DA, Adeyomoye, OI, Admass, BAA, Adnani, QES, Adra, S, Afolabi, AA, Afzal, MS, Afzal, S, Agampodi, SB, Agasthi, P, Aggarwal, M, Aghamiri, S, Agide, FD, Agodi, A, Agrawal, A, Agyemang-Duah, W, Ahinkorah, BO, Ahmad, A, Ahmad, D, Ahmad, F, Ahmad, MM, Ahmad, S, Ahmad, T, Ahmadi, K, Ahmadzade, AM, Ahmed, A, Ahmed, H, Ahmed, LA, Ahmed, MS, Ahmed, MB, Ahmed, SA, Ajami, M, Aji, B, Akara, EM, Akbarialiabad, H, Akinosoglou, K, Akinyemiju, T, Akkaif, MA, Akyirem, S, Al Hamad, H, Al Hasan, SM, Alahdab, F, Alalalmeh, SO, Alalwan, TA, Al-Aly, Z, Sharma, Saurab, Cullen, Patricia, Xu, Luna, Schutte, Alta, Maulik, Pallab Kumar, Godinho, Myron, Okeke, Sylvester, Sachdev, Perminder, Dai-Keller, Zhaoli

المصدر: urn:ISSN:0140-6736 ; urn:ISSN:1474-547X ; The Lancet, 403, 10440, 2100-2132

الوصف: Background: Regular, detailed reporting on population health by underlying cause of death is fundamental for public health decision making. Cause-specific estimates of mortality and the subsequent effects on life expectancy worldwide are valuable metrics to gauge progress in reducing mortality rates. These estimates are particularly important following large-scale mortality spikes, such as the COVID-19 pandemic. When systematically analysed, mortality rates and life expectancy allow comparisons of the consequences of causes of death globally and over time, providing a nuanced understanding of the effect of these causes on global populations. Methods: The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 cause-of-death analysis estimated mortality and years of life lost (YLLs) from 288 causes of death by age-sex-location-year in 204 countries and territories and 811 subnational locations for each year from 1990 until 2021. The analysis used 56 604 data sources, including data from vital registration and verbal autopsy as well as surveys, censuses, surveillance systems, and cancer registries, among others. As with previous GBD rounds, cause-specific death rates for most causes were estimated using the Cause of Death Ensemble model—a modelling tool developed for GBD to assess the out-of-sample predictive validity of different statistical models and covariate permutations and combine those results to produce cause-specific mortality estimates—with alternative strategies adapted to model causes with insufficient data, substantial changes in reporting over the study period, or unusual epidemiology. YLLs were computed as the product of the number of deaths for each cause-age-sex-location-year and the standard life expectancy at each age. As part of the modelling process, uncertainty intervals (UIs) were generated using the 2·5th and 97·5th percentiles from a 1000-draw distribution for each metric. We decomposed life expectancy by cause of death, location, and year to show cause-specific effects on ...

العلاقة: http://hdl.handle.net/1959.4/102184Test; https://doi.org/10.1016/S0140-6736Test(24)00367-2

الإتاحة: https://doi.org/10.1016/S0140-6736Test(24)00367-2
http://hdl.handle.net/1959.4/102184Test

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7

دورية أكاديمية

Global incidence, prevalence, years lived with disability (YLDs), disability-adjusted life-years (DALYs), and healthy life expectancy (HALE) for 371 diseases and injuries in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

المؤلفون: Ferrari, AJ, Santomauro, DF, Aali, A, Abate, YH, Abbafati, C, Abbastabar, H, Abd ElHafeez, S, Abdelmasseh, M, Abd-Elsalam, S, Abdollahi, A, Abdullahi, A, Abegaz, KH, Abeldaño Zuñiga, RA, Aboagye, RG, Abolhassani, H, Abreu, LG, Abualruz, H, Abu-Gharbieh, E, Abu-Rmeileh, NM, Ackerman, IN, Addo, IY, Addolorato, G, Adebiyi, AO, Adepoju, AV, Adewuyi, HO, Afyouni, S, Afzal, S, Agodi, A, Ahmad, A, Ahmad, D, Ahmad, F, Ahmad, S, Ahmed, A, Ahmed, LA, Ahmed, MB, Ajami, M, Akinosoglou, K, Akkaif, MA, Al Hasan, SM, Alalalmeh, SO, Al-Aly, Z, Albashtawy, M, Aldridge, RW, Alemu, MD, Alemu, YM, Alene, KA, Al-Gheethi, AAS, Alharrasi, M, Alhassan, RK, Ali, MU, Ali, R, Ali, SSS, Alif, SM, Aljunid, SM, Al-Marwani, S, Almazan, JU, Alomari, MA, Al-Omari, B, Altaany, Z, Alvis-Guzman, N, Alvis-Zakzuk, NJ, Alwafi, H, Al-Wardat, MS, Al-Worafi, YM, Aly, S, Alzoubi, KH, Amare, AT, Amegbor, PM, Ameyaw, EK, Amin, TT, Amindarolzarbi, A, Amiri, S, Amugsi, DA, Ancuceanu, R, Anderlini, D, Anderson, DB, Andrade, PP, Andrei, CL, Ansari, H, Antony, CM, Anwar, S, Anwar, SL, Anwer, R, Anyanwu, PE, Arab, JP, Arabloo, J, Arafat, M, Araki, DT, Aravkin, AY, Arkew, M, Armocida, B, Arndt, MB, Arooj, M, Artamonov, AA, Aruleba, RT, Arumugam, A, Ashbaugh, C, Ashemo, MY, Ashraf, M, Onie, Sandersan, Godinho, Myron, Okeke, Sylvester, Dai-Keller, Zhaoli

المصدر: urn:ISSN:0140-6736 ; urn:ISSN:1474-547X ; The Lancet, 403, 10440, 2133-2161

الوصف: Background: Detailed, comprehensive, and timely reporting on population health by underlying causes of disability and premature death is crucial to understanding and responding to complex patterns of disease and injury burden over time and across age groups, sexes, and locations. The availability of disease burden estimates can promote evidence-based interventions that enable public health researchers, policy makers, and other professionals to implement strategies that can mitigate diseases. It can also facilitate more rigorous monitoring of progress towards national and international health targets, such as the Sustainable Development Goals. For three decades, the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) has filled that need. A global network of collaborators contributed to the production of GBD 2021 by providing, reviewing, and analysing all available data. GBD estimates are updated routinely with additional data and refined analytical methods. GBD 2021 presents, for the first time, estimates of health loss due to the COVID-19 pandemic. Methods: The GBD 2021 disease and injury burden analysis estimated years lived with disability (YLDs), years of life lost (YLLs), disability-adjusted life-years (DALYs), and healthy life expectancy (HALE) for 371 diseases and injuries using 100 983 data sources. Data were extracted from vital registration systems, verbal autopsies, censuses, household surveys, disease-specific registries, health service contact data, and other sources. YLDs were calculated by multiplying cause-age-sex-location-year-specific prevalence of sequelae by their respective disability weights, for each disease and injury. YLLs were calculated by multiplying cause-age-sex-location-year-specific deaths by the standard life expectancy at the age that death occurred. DALYs were calculated by summing YLDs and YLLs. HALE estimates were produced using YLDs per capita and age-specific mortality rates by location, age, sex, year, and cause. 95% uncertainty intervals (UIs) were generated ...

العلاقة: http://hdl.handle.net/1959.4/102179Test; https://doi.org/10.1016/S0140-6736Test(24)00757-8

الإتاحة: https://doi.org/10.1016/S0140-6736Test(24)00757-8
http://hdl.handle.net/1959.4/102179Test

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8

دورية أكاديمية

The burden of mental disorders, substance use disorders and self-harm among young people in Europe, 1990-2019: Findings from the Global Burden of Disease Study 2019

المؤلفون: Castelpietra, G, Knudsen, AKS, Agardh, EE, Armocida, B, Beghi, M, Iburg, KM, Logroscino, G, Ma, R, Starace, F, Steel, N, Addolorato, G, Andrei, CL, Andrei, T, Ayuso-Mateos, JL, Banach, M, Barnighausen, TW, Barone-Adesi, F, Bhagavathula, AS, Carvalho, F, Carvalho, M, Chandan, JS, Chattu, VK, Couto, RAS, Cruz-Martins, N, Dargan, P, Deuba, K, da Silva, DD, Fagbamigbe, AF, Fernandes, E, Ferrara, P, Fischer, F, Gaal, PA, Gialluisi, A, Haagsma, JA, Haro, JM, Hasan, MT, Hasan, SS, Hostiuc, S, Iacoviello, L, Iavicoli, I, Jamshidi, E, Jonas, JB, Joo, T, Jozwiak, JJ, Katikireddi, SV, Kauppila, JH, Khan, MAB, Kisa, A, Kisa, S, Kivimaki, M, Koly, KN, Koyanagi, A, Kumar, M, Lallukka, T, Langguth, B, Ledda, C, Lee, PH, Lega, I, Linehan, C, Loureiro, JA, Madureira-Carvalho, AM, Martinez-Raga, J, Mathur, MR, McGrath, JJ, Mechili, EA, Mentis, AFA, Mestrovic, T, Miazgowski, B, Mirica, A, Mirijello, A, Moazen, B, Mohammed, S, Mulita, F, Nagel, G, Negoi, I, Negoi, RI, Nwatah, VE, Padron-Monedero, A, Panda-Jonas, S, Pardhan, S, Pasovic, M, Patel, J, Petcu, IR, Pinheiro, M, Pollok, RCG, Postma, MJ, Rawaf, DL, Rawaf, S, Romero-Rodriguez, E, Ronfani, L, Sagoe, D, Sanmarchi, F, Schaub, MP, Sharew, NT, Shiri, R, Shokraneh, F, Sigfusdottir, ID, Silva, JP, Silva, R, Socea, B, Szocska, M, Tabares-Seisdedos, R, Torrado, M, Tovani-Palone, MR, Vasankari, TJ, Veroux, M, Viner, RM, Werdecker, A, Winkler, AS, Hay, S, Ferrari, AJ, Naghavi, M, Allebeck, P, Monasta, L

المصدر: The Lancet regional health. Europe. 16:100341

مصطلحات موضوعية: Medicin och hälsovetenskap

الوصول الحر: http://kipublications.ki.se/Default.aspx?queryparsed=id:154407859Test

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النص الكامل

9

دورية أكاديمية

The burden of mental disorders, substance use disorders and self-harm among young people in Europe, 1990–2019: findings from the Global Burden of Disease Study 2019

الوصف: Background Mental health is a public health issue for European young people, with great heterogeneity in resource allocation. Representative population-based studies are needed. The Global Burden of Disease (GBD) Study 2019 provides internationally comparable information on trends in the health status of populations and changes in the leading causes of disease burden over time. Methods Prevalence, incidence, Years Lived with Disability (YLDs) and Years of Life Lost (YLLs) from mental disorders (MDs), substance use disorders (SUDs) and self-harm were estimated for young people aged 10-24 years in 31 European countries. Rates per 100,000 population, percentage changes in 1990-2019, 95% Uncertainty Intervals (UIs), and correlations with Sociodemographic Index (SDI), were estimated. Findings In 2019, rates per 100,000 population were 16,983 (95% UI 12,823 – 21,630) for MDs, 3,891 (3,020 - 4,905) for SUDs, and 89·1 (63·8 - 123·1) for self-harm. In terms of disability, anxiety contributed to 647·3 (432–912·3) YLDs, while in terms of premature death, self-harm contributed to 319·6 (248·9–412·8) YLLs, per 100,000 population. Over the 30 years studied, YLDs increased in eating disorders (14·9%;9·4-20·1) and drug use disorders (16·9%;8·9-26·3), and decreased in idiopathic developmental intellectual disability (–29·1%;23·8-38·5). YLLs decreased in self-harm (–27·9%;38·3-18·7). Variations were found by sex, age-group and country. The burden of SUDs and self-harm was higher in countries with lower SDI, MDs were associated with SUDs. Interpretation Mental health conditions represent an important burden among young people living in Europe. National policies should strengthen mental health, with a specific focus on young people. Funding The Bill and Melinda Gates Foundation

العلاقة: https://ora.ox.ac.uk/objects/uuid:10acfb03-9a04-4a58-8da2-c4e6113c17e5Test; https://doi.org/10.1016/j.lanepe.2022.100341Test

الإتاحة: https://doi.org/10.1016/j.lanepe.2022.100341Test
https://ora.ox.ac.uk/objects/uuid:10acfb03-9a04-4a58-8da2-c4e6113c17e5Test

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10

دورية أكاديمية

Prothrombin time predicts steroid response in severe alcohol-related hepatitis

المؤلفون: Tarli C., Mannucci S., Vecchione M., Antonelli M., Sestito L., Mancarella F. A., Tosoni A., Dionisi T., Maccauro V., Di Sario G., Burra P., Germani G., Gasbarrini A., Addolorato G.

المساهمون: Tarli, C., Mannucci, S., Vecchione, M., Antonelli, M., Sestito, L., Mancarella, F. A., Tosoni, A., Dionisi, T., Maccauro, V., Di Sario, G., Burra, P., Germani, G., Gasbarrini, A., Addolorato, G.

مصطلحات موضوعية: corticosteroid therapy, early liver transplantation, prothrombine time, severe alcohol-related hepatiti, steroid response

الوصف: Background and Aims: Alcohol-related hepatitis (AH) is the most severe form of acute alcohol-related liver disease. Maddrey's discriminant function greater than or equal to 32 defines the severe form of AH, which is associated with a high mortality. Steroid therapy represents the main medical treatment that may reduce short-term mortality. Lille score at day 7 assesses the therapeutic response to steroid therapy. At present, no parameters able to predict the response to steroid therapy have been highlighted. The aim of the present study was to evaluate if baseline prothrombin time (BPT) could predict the response to steroid in severe AH (sAH). Methods: Patients consecutively admitted in two Italian Liver Units, from 2017 to 2022, suffering from sAH were included. Data were collected prospectively. In order to evaluate if BPT could predict steroid response, we assessed the correlation between BPT using the Lille score at day 7. Results: A total of 52 patients received steroid treatment were enrolled in the study. The response to therapy was assessed by Lille score at day 7. Responders were 34 patients (65%), non-responders 18 patients (34%). BPT significantly predicted the steroid response (p < .001). The likelihood of not responding to the steroid therapy was significantly higher in patients with higher BPT (OR = 2.954). Conclusions: BPT value predicted steroid response in patients with sAH. BPT could quickly identify non-responder patients to steroid therapy, reducing the risk of infections and it could allow the early evaluation for liver transplantation.

العلاقة: info:eu-repo/semantics/altIdentifier/pmid/38238897; info:eu-repo/semantics/altIdentifier/wos/WOS:001145093800001; firstpage:1; lastpage:8; numberofpages:8; journal:LIVER INTERNATIONAL; https://hdl.handle.net/11573/1702001Test; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85174974031

الإتاحة: https://doi.org/10.1111/liv.15835Test
https://hdl.handle.net/11573/1702001Test

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