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Background: Surgical mortality data are collected routinely in high-income countries, yet virtually no low- or middle-income countries have outcome surveillance in place. The aim was prospectively to collect worldwide mortality data following emergency abdominal surgery, comparing findings across countries with a low, middle or high Human Development Index (HDI). Methods: This was a prospective, multicentre, cohort study. Self-selected hospitals performing emergency surgery submitted prespecified data for consecutive patients from at least one 2-week interval during July to December 2014. Postoperative mortality was analysed by hierarchical multivariable logistic regression. Results: Data were obtained for 10 745 patients from 357 centres in 58 countries; 6538 were from high-, 2889 from middle- and 1318 from low-HDI settings. The overall mortality rate was 1·6 per cent at 24 h (high 1·1 per cent, middle 1·9 per cent, low 3·4 per cent; P < 0·001), increasing to 5·4 per cent by 30 days (high 4·5 per cent, middle 6·0 per cent, low 8·6 per cent; P < 0·001). Of the 578 patients who died, 404 (69·9 per cent) did so between 24 h and 30 days following surgery (high 74·2 per cent, middle 68·8 per cent, low 60·5 per cent). After adjustment, 30-day mortality remained higher in middle-income (odds ratio (OR) 2·78, 95 per cent c.i. 1·84 to 4·20) and low-income (OR 2·97, 1·84 to 4·81) countries. Surgical safety checklist use was less frequent in low- and middle-income countries, but when used was associated with reduced mortality at 30 days. Conclusion: Mortality is three times higher in low- compared with high-HDI countries even when adjusted for prognostic factors. Patient safety factors may have an important role. Registration number: NCT02179112 (http://www.clinicaltrials.gov).
Mortality of emergency abdominal surgery in high-, middle- and low-income countries
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J.;Tyler, R.;Di Franco, F.;Ayyar, S.;Vivekanantham, S.;Gokani, S.;Gillespie, M.;Gudlaugsdottir, K.;Pezas, T.;Currow, C.;Young-Han Kim, M.;Birring, A.;Edwards, J.;Das, S.;Jha, M.;Atkinson, K.;Luck, J.;Fozard, T.;Puttick, M.;Salama, Y.;Shah, R.;Ibrahem, A. A.;Ebdewi, H.;Gravante, G.;El-Rabaa, S.;Nnajiuba, H.;Allott, R.;Bhargava, A.;Chan, Z.;Hassan, Z.;Makinde, M.;Hemingway, D.;Dean, R.;Boddy, A.;Aber, A.;Patel, V.;Parakh, J.;Parthiban, S.;Ubhi, H. K.;Hosein, S. -P.;Ward, S.;Malik, K.;Jennings, L.;Newton, T.;Alkhouri, M.;Kang, M. K.;Houlden, C.;Barry, J.;Raza, I.;Farquharson, A.;Bhattacharya, S.;Chang, K.;Wilson, M. S. J.;Neo, Y. N.;Ibrahim, I.;Chan, E.;Peck, F. S.;Lim, P. J.;North, A. S.;Blundell, R.;Williamson, A.;Fouad, D.;Minocha, A.;Mccarthy, K.;Court, E.;Chambers, A.;Yee, J.;Tham, J. C.;Beaton, C.;Walsh, U.;Lockey, J.;Bokhari, S.;Howells, L.;Griffiths, M.;Yallop, L.;Singh, S.;Nasher, O.;Jackson, P.;Shariffuddin, A. M.;Ho, W. C.;Pabla, G.;Ramzi, S.;Zeidan, S.;Doughty, J.;Sinha, S.;Davenport, R.;Lewis, J.;Duffy, L.;Mcaleer, E.;Williams, E.;Som, R.;Javed, O.;Boal, M.;Harrison, N.;Tafazal, H.;Brogden, T.;Griffiths, E.;Obute, R. D.;Glover, T. E.;Clark, D. J.;Boshnaq, M.;Akhtar, M.;Capleton, P.;Doughan, S.;Rabie, M.;Mohamed, I.;Samuel, D.;Dickson, L.;Kennedy, M.;Dempster, E.;Brown, E.;Maple, N.;Monaghan, E.;Wolf, B.;Garland, A.;Mcphee, A.;Anderson, D.;Anderson, R.;Hassan, S.;Smith, D.;Lund, J.;Boereboom, C.;Murphy, J.;Tierney, G.;Tou, S.;Zimmermann, E. F.;Smart, N. J.;Warwick, A. M.;Stasinou, T.;Daniels, I.;Findlay-Cooper, K.;Mitrasinovic, S.;Ray, S.;Varcada, M.;Omara, R. D. S.;Spurr, M.;Parkinson, L.;Hanks, A.;Ma, J.;Abington, E.;Ramcharn, M.;Williams, G.;Winstanley, J.;Kennedy, E. D.;Yeung, E. N. W.;Jones, C.;O'Neill, S.;Lim, S. J.;Liew, I.;Nair, H.;Fairfield, C.;Koh, S.;Wilson, A.;Anandkumar, D.;Kirupagaran, A.;Jones, T. F.;Torrance, H. D.;Fowler, A. J.;Chandrakumar, C.;Patel, P.;Ashraf, S. F.;Lakhani, S. M.;Mclean, A. L.;Basson, S.;Batt, J.;Bowman, C.;Stoddart, M.;Benons, N.;Mason, C.;Harrison, R.;Quayle, J.;Barker, T.;Summerour, V.;Harper, E.;Smith, C.;Hampton, M.;Pitt, S. K.;Ward, A. E.;O'Connor, T.;Heywood, E. G.;Chowdhury, A.;Hossaini, S.;Watson, N. F.;Mckechnie, D.;Farah, A.;Chun, A.;Koh, H.;Lim, G.;Sunderland, G.;Gould, L.;Munipalle, P. C.;Rooney, H.;Browning, D. R. L.;Pereira, B.;Nemeth, K.;Decker, E.;Giuliani, S.;Shalaby, A.;Shaikh, S.;Tan, C. Y.;Palkhi, E. Y. A.;Kostov, E.;Harbord, P.;Barnacle, J.;Szczap, A.;Chidambaram, S.;Chen, C. Y.;Kulasabanathan, K.;Chhabra, S.;Palliyil, M. M.;Zikry, M.;Porter, J.;Raslan, C.;Hafiz, S.;Soltani, N.;Baillie, K.;Marples, L.;Macfarlane, A.;Thurairaja, R.;Singh, P.;Sheth, S.;Patel, K.;Khalili, M.;Choi, J.;Benger, M.;Boyce, T.;Whewell, H.;Jones, E.;Th'ng, F.;Robertson, N.;Mirza, A.;Saeed, H.;Galloway, S.;Elena, G.;Afzal, M.;Zakir, M.;Sodde, P.;Hand, C.;Sriram, A.;Clark, T.;Holton, P.;Livesey, A.;Sinha, Y.;Iqbal, F. M.;Bharj, I. S.;Rotundo, A.;Jenvey, C.;Slade, R.;Golding, D.;Haines, S.;Ne'ma Abdullah, A. A.;Tilston, T. W.;Loughran, D.;Donoghue, D.;Giacci, L.;Ashur Sherif, M.;Harrison, P.;Tang, A.;Kotecha, D.;Elshaer, M.;Urbonas, T.;Riaz, A.;Chapman, A.;Acharya, P.;Shalhoub, J.;Grossart, C.;McMorran, D.;Mlotshwa, M.;Hawkins, W.;Loizides, S.;Krishna, K.;Orchard, M.;Ho, C. W.;Thomson, P.;Khan, S.;Taylor, F.;Shukla, J.;Howie, E. E.;Macdonald, L.;Komolafe, O.;Mcintyre, N.;Cragg, J.;Parker, J.;Stewart, D.;Lintin, L.;Tracy, J.;Farooq, T.;Molina, G.;Kaafarani, H.;Beyene, R.;Sava, J.;Scott, M.;Swaroop, M.;Kennedy, R.;Azodo, I. A.;Heffernan, D.;Chun, T.;Stephen, A.;Sion, M.;Weinstein, M. S.;Punja, V.;Bugaev, N.;Goodstein, M.;Razmdjou, S.;Etchill, E.;Puyana, J. C.;Kesinger, M.;Napolitano, L.;To, K.;Hemmila, M.;Todd, O.;Jenner, E.;Hoogakker, E.;Roi, D.;Chieh Chen, J. H.;Ismail, L.;Escobar, E. G.;DI SAVERIO, SALOMONE
2016-01-01
Abstract
Background: Surgical mortality data are collected routinely in high-income countries, yet virtually no low- or middle-income countries have outcome surveillance in place. The aim was prospectively to collect worldwide mortality data following emergency abdominal surgery, comparing findings across countries with a low, middle or high Human Development Index (HDI). Methods: This was a prospective, multicentre, cohort study. Self-selected hospitals performing emergency surgery submitted prespecified data for consecutive patients from at least one 2-week interval during July to December 2014. Postoperative mortality was analysed by hierarchical multivariable logistic regression. Results: Data were obtained for 10 745 patients from 357 centres in 58 countries; 6538 were from high-, 2889 from middle- and 1318 from low-HDI settings. The overall mortality rate was 1·6 per cent at 24 h (high 1·1 per cent, middle 1·9 per cent, low 3·4 per cent; P < 0·001), increasing to 5·4 per cent by 30 days (high 4·5 per cent, middle 6·0 per cent, low 8·6 per cent; P < 0·001). Of the 578 patients who died, 404 (69·9 per cent) did so between 24 h and 30 days following surgery (high 74·2 per cent, middle 68·8 per cent, low 60·5 per cent). After adjustment, 30-day mortality remained higher in middle-income (odds ratio (OR) 2·78, 95 per cent c.i. 1·84 to 4·20) and low-income (OR 2·97, 1·84 to 4·81) countries. Surgical safety checklist use was less frequent in low- and middle-income countries, but when used was associated with reduced mortality at 30 days. Conclusion: Mortality is three times higher in low- compared with high-HDI countries even when adjusted for prognostic factors. Patient safety factors may have an important role. Registration number: NCT02179112 (http://www.clinicaltrials.gov).
Bhangu, A.; Fitzgerald, J. E. F.; Fergusson, S.; Khatri, C.; Holmer, H.; Søreide, K.; Harrison, E. M.; Drake, T. M.; Bhangu, A.; Gobin, N.; Vega Freit...espandi
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simulazione ASN
Il report seguente simula gli indicatori relativi alla propria produzione scientifica in relazione alle soglie ASN 2023-2025 del proprio SC/SSD. Si ricorda che il superamento dei valori soglia (almeno 2 su 3) è requisito necessario ma non sufficiente al conseguimento dell'abilitazione. La simulazione si basa sui dati IRIS e sugli indicatori bibliometrici alla data indicata e non tiene conto di eventuali periodi di congedo obbligatorio, che in sede di domanda ASN danno diritto a incrementi percentuali dei valori. La simulazione può differire dall'esito di un’eventuale domanda ASN sia per errori di catalogazione e/o dati mancanti in IRIS, sia per la variabilità dei dati bibliometrici nel tempo. Si consideri che Anvur calcola i valori degli indicatori all'ultima data utile per la presentazione delle domande.
La presente simulazione è stata realizzata sulla base delle specifiche raccolte sul tavolo ER del Focus Group IRIS coordinato dall’Università di Modena e Reggio Emilia e delle regole riportate nel DM 589/2018 e allegata Tabella A. Cineca, l’Università di Modena e Reggio Emilia e il Focus Group IRIS non si assumono alcuna responsabilità in merito all’uso che il diretto interessato o terzi faranno della simulazione. Si specifica inoltre che la simulazione contiene calcoli effettuati con dati e algoritmi di pubblico dominio e deve quindi essere considerata come un mero ausilio al calcolo svolgibile manualmente o con strumenti equivalenti.