Search

Your search keyword '"E. Prakash"' showing total 14 results
Start Over Author "E. Prakash" Topic business
14 results on '"E. Prakash"'

3. Critical care usage after major gastrointestinal and liver surgery: a prospective, multicentre observational study

Author

T. Yang, T. Pitts-Tucker, Daron Smith, S. Suresh, A.A. Khetarpal, C. Brathwaite-Shirley, Justine Davies, Sayinthen Vivekanantham, A. A. Adebayo, T. Sorah, N. Yim, H.R. Jackson, Salim Tayeh, R.H. Bremner, A. Piquet, L. Higgs, R. Yuen, P. Fergurson, N.K. Sim, A. Hibberd, A. Mehdi, N. Moody, D. Maru, C. Joyner, I. Hindle Fisher, Vartan Balian, N. Wetherall, Siyin Liu, P.N. Phan, S. Mallick, C. Lek, B. Oremule, S. Nelaj, M. Williams, Maqsood Qamar, A. Menon, M. Mohamud, H. Cheema, C. Chan, H.M. Omer, S.J. Cole, E. Craig, K.E. Leslie, S.S. Talukdar, R.B.S. Holliday, J. Heskin, A. Cody, Syed Shumon, S. McAleer, S. Abburu, P. Deekonda, S.F. Ashraf, R. Bose, AE Cotton, C. McGowan, S. Rashid, K. Theodoropoulou, A. MacAskill, Vishal Narwani, R. Maamari, S. Stokes, L.N. Harris, Peng Yong Sim, Evie Gardner, Leo Ng, N. Chandan, J.W. Lockey, M. Acres, H. Jhala, M.L. Kwan, A. Abdulmajid, A.E. Cardwell, P. Buakuma, C.P. Keane, M. Ahmed, N.J. Chilvers, E. Semple, J. Meek, A.K. Clarke, K. Koysombat, A. Hague, E.J.H. Turner, N. Keelty, P. Karunakaran, K.D. Clement, Mansoor Khan, Y. Cao, O. Prys-Jones, S.L. Walsh, C.N. McKerr, Sanjay Shah, S. Peroos, A. Dhanji, Joseph M. Norris, Neil Smith, M. Lakhani, M. Wijesekera, M. Bhatti, Midhun Mohan, C.Y. Luk, M. Elkawafi, S. Wadanamby, Jameel Mushtaq, Jonathan C. M. Wan, A. Ghaffar, M. Siddiqui, S. Naqib, Michaeline Kelly, J.W. Duncumb, F. Hughes, H.E.M. Jordan, R. Callan, G. Hung, C.F. Brewer, E.M. Ruiz, A. Higgins, C. Horst, C. Roberts, S. Kanabar, C. Wall, A.M. Buchan, A. Luhishi, R.P. Watson, D. Xylas, A. McBride, A. Bell, G. Heppenstall-Harris, A. Pericleous, Akanksha Chhabra, N. Hitchen, P. Raut, Shahzada Ahmed, M. Mirza, C.H. Archer, G. Russell, C.T. Francescon, D.T. Robertson, N. Gardiner, K. Cheng, A. Mishra, E. Webb, L. Rothwell, Dee A. Carter, V. Gupta, M. Johnstone, M.E. Kelly, R.D.C. Moon, E. Woin, K. Nadanakumaran, U. White, J. Empey, F. Bulley, R. Morley, G. Charalambous, L. Turner, S. Angelov, D. Coffey, S. Hartley, S. Pronin, E. Seager, R.K. Varma, Sharifullah Khan, S.B. Husnoo, R.K. Sethi, H.M. Chang, A. Duffy, Hew D.T. Torrance, P. Cunha, L. Kimani, W. Din, E.G. Heywood, C. O'Connell, D. Wylam, L. Anderson, N. Ahern, A.J. Trist, D. Burke, A. He, M. Sundar-Singh, A. Odeleye, G. Kumaran, N.L. Salloum, T.M. Brooks, A.S. Lynch, R. Debenham, Howard Gardner, M. Nielsen, M. Das, G. Bingham, S. Qureshi, Aditya Borakati, J. Wylie, Z. Kazmi, J.H. Park, P. Gill, A.R. Craig, M. Chen, Jonathan Wild, S.J. Lim, K.P. Choo, G. Culleton, G. Deas, E.Y. Chua, D. Vanniasegaram, A.H. Amphlett, N. Rajan, J.H. Chen, M. Hameed, Paul Ziprin, C. Toale, D. Gold, N. Keane, Jacob H Matthews, E. Palkhi, Nick Watson, C.M. Hewitt, A. Yousif, Faheem Ahmed, D. Wilkinson, John Mason, C. Reeder, R. Sagar, Deirdre A. Collins, S. Sandhu, S. Singh, J. Herron, A.Y.L. Ng, K. Brennan, K.A. Hoban, V. Navayogaarajah, A.S. Jawad, J.Y.L. Low, Julian R. Johnston, J. Wye, Inge Bernstein, John Parkin, A.D. Henson, Y.H. Soo, C. Topham, M. Steel, Priyank Patel, C.M. Lankage, U. Ashfaq, E.J. Brown, N.L. Foster, C.W. Rookes, R.J. Greig, K.L. McKevitt, N. Jathanna, J.M. Geraghty, M. Karia, S. Cumming, H. Holyoak, S. Parthiban, R.B. Karsan, V.C. Wing, T.E. Glover, R.D. Adams, B.H. Miranda, S. Gaffney, S. Rogers, G.E. Torlot, J.J. Filby, S. Sii, N.M. Rafiq, M. Shoa, S. Singagireson, N. Ungcharoen, Jennie Parker, B.F. Chong, N.M. Shafiq, V. Wong, E. Shakweh, A. Al-Mousawi, J. Pearce, S. Botchey, L. Horne, L. Fletcher, B. Singh, E.A. Whatling, K. Duke, A. Mastan, A.L. Frank, S. Verma, Humaira Shaheen, W. Liew, J. Turner, R. Rampal, T. Filipescu, R.M. Markham, B.A. Patel, S. Lim, A. Atayi, S. Yoganathan, N. Ramsay, M. Khattak, O. Amin, E. McAleer, K. Gohil, H. Shufflebotham, George S Bethell, M. Dhar, J.E. Davies, A.F. Carroll, E. Cornish, S. Omara, J. Bartlett, D. Loughran, A. Iqbal, L.R. Springford, D.R. McCormack, S. Leong, R. Ingham, D. Tan, A. Khajuria, M. Tonkins, M. Petrarca, A.M. Bucko, L.L. McKelvey, C. Gill, C.E. Thakker, K. Mohan, J. Turnbull, G. Cuthbert, W. Dean, R.D.J. Whitham, D.M. Lees, N. Chan, D. Osei-Kuffour, A. Sahathevan, K. Ng, L.B. Anderson, J. Eraifej, A. O'Connor, O.J. Cundy, C. Kong, R.K. Hughes, Bryan Paul Traynor, P. Keane, C. Liu, E. Canning, E.D. Mills, C. Gouldthrope, S. Patel, M.J.V. Holmes, C. Cullen, Lisa McNamee, Alberto Pizzolato, P. Harries, M. Elseedawy, R. Varley, C. Whacha, S.G. Ratu, A. Wright, S. Parsons, Pishoy Gouda, A. Mian, R. Bhudia, R. Adams, N. Bell, Talisa Ross, R. Reid, J.P. Shah, Sarah Dean, C. Neophytou, Alex Ward, J.D. Thompson, M. Seedat, A. Ramnarine, R.T. Harris, A. Qureshi, C. Major, Y. Sinha, A.S. Rocke, C.S. Yong, P. Kwang, David Neil Cooper, L. Aildasani, R.W. Goh, A.R. Dyal, L. Braganza, L. Healy, N. Davies, T. Reakes, N. Patel, S. Sng, C. Brennan, Z.R. Bakewell, S.L. Jenkin, Ahmed Daoub, I.A. Rhema, R.A. Walford, O. Spence, L. Yow, E.J. Roberts, W. Cymes, Y. Liew, E. Segall, June A. Sullivan, K.K. Sandhu, L. Satterthwaite, G.X. Xu, R.M. Waldron, S. McGarvie, D. Brown, M. Alizadeh, J.A. Syeed, H.F. Roberts, P. Dawson, H.R. Abdikadir, S. O'Connor, Y. Maheswaran, B.A. Hughes, B.A. Atraszkiewicz, K. Singh, C. Mcgenity, A.D. Wood, Ewan D. Kennedy, S.X. Poo, S. Mitrasinovic, Max Marsden, A. Ibrahim, Daniel F. McAuley, M. Attalla, S. Govinden, Siti Asma' Hassan, T. Raghvani, T. Bloomfield, R. Heminway, M. Ali, K.L. Robertson, P. Lalor, T. Dogra, I. Antoniou, A. Tahmina, Markus L. Sagmeister, Ronan McMullan, J. Matthams, Richard J. Egan, Elspeth Cumber, M. Dolaghan, P. Sritharan, S. Sarwar, E.S.M. Tan, S.E. Murray, S. Morris, S. Mansoor, M. King, Randall V. Martin, P. Williams, G. Brent, N.B. Reid, S. Collinson, T. Sarvanandan, R. Ratnakumaran, R.E. Keeling, M.A. Sherif, D. Thomas, I.J. Clark, R. Coulson, T.P. Bemand, A. Abid, A.L. Martin, J.C.K. Ng, P. Avery, Y. Narang, R. Manson, H. Petra, J.E. Giles, A.E. Lim, N.A. Vithanage, S. Osman, D. Elf, Panagis M. Lykoudis, A. Ang, Debra Salmon, A. Croall, T. Sale, S. Bonsu, Y.P. Mogan, G.E. Cooper, J. Lamont, S.T. Marchal, P. Naran, A.N. Kumar, R. Owasil, F. Koumpa, J.Q. Ng, P.N. Nesargikar, J. Boyle, Ryan Preece, E. Sewart, S. Lee, S. Kosasih, N. Jamal, Stephen J Chapman, N.A. Redgrave, C. Holmes, A.E. Barthorpe, S. Mistry, J.A. Yates, Robin Wilson, E. Prakash, J.Y. Kee, S.M. Anderson, R.S. Suresh, N. Hussain, S. Gentry, S. Darr, H. Heneghan, H.D. McRobbie, S. Assadullah, Shivam Bhanderi, C. Weston, A. Delport, A. Winarski, M.M. Li, T. Tharmachandirar, N. Canning, P.R. Forrest, Adam J Boulton, A. Ponweera, G.E. Stewart, J.S. Ahn, J. Hartley, A. Isaac, J.L.Y. Allen, R. Carr, S. Gokani, J. Zhao, C. Player, D. Sim, W. English, R.J. McGalliard, S. Cullen, R. Thethi, A. Livesey, K.N. Lwin, M. K. Abd Ghaffar, C.L. Knight, P.C. Hurst, A.Y. Tay, Devender Mittapalli, F. Winslow, G. Bhaskaran, L. Gauntlett, W. Leung, D.M. Golding, A. Wali, D.C. Marshall, H. Ross, K.P. Raman, P.J. Teoh, C. Allan, I. Nehikhare, C.M. Ventre, M. Venn, J.A. Crewdson, A. Shukla, N. Ramjeeawon, S. Shahid, P. Mithrakumar, J. Fern, Y. Tan, H. Haq, S. Turaga, U. Hayat, C. Palmer, H. Goradia, T. Ramtoola, J. Bloomer, C. Chhina, Z. Momoh, W.M. Wynell-Mayow, N. Jayakody, M. Bravo, J. Gabriel, R. Khanijau, L. Esteve, A. Malik, R.D. Obute, S. Sheth, S. Lunawat, U. Qureshi, C. Rees, A. Kerai, M. Peters, A.Y. Tsui, K. Kow, M. Trail, A. Coates, F. Long, V. Paraoan, M.T. Stoddart, N. Li, M. Bright, W.W. Chaudhry, M.K. Malys, S. Owczarek, C.L. Jubainville, E. Brennan, M. Hanrahan, A. Wang, A. Burgess, S. Dutt, N. Varma, R.P. Williams, A. Ledsam, R.T. Buckle, W. Ho, U. Sajjad, B. Goh, M.R. Hardy, E. Lim, L.J. Burney, C.S.D. Roy, Thomas M Drake, Harry J. Gilbert, A. Yener, A. Trimble, Archana Shah, H. Ahmed, E.C. Barton, K. Eparh, C. McCrann, F. Harding, J. Mah, D. Kotecha, A. Al-Robeye, J. MacDonald, S. Kim, Andrew Logan, C. McLaughin, H. Collier, O. Brewster, J. Loveday, L. Tung, S. Dindyal, O. Al-Obaedi, A. Simpson, M. Sirakaya, F. Morgan, G.S. Ng, S. Mahboob, D. FitzPatrick, A. Jindal, O. O'Carroll, Y. Devabalan, T. Axelson, D. Rojoa, K. Sasapu, Kirsty Davies, J. Moradzadeh, Ewen M Harrison, K. Gandhi, S. Beecroft, G. McCabe, C.P. Chilima, T. Goldsmith, H.Z. Bazeer, N. Kalra, P. Morrison, T.C. Hoskins, J.J. Wiltshire, A. Narain, D. Joshi, D. Horth, H.C.P. Wilson, Y.F. Dennis, M. Mills, C. Diaper, J.A. Sanders, S.M. Chiu, J. Coffin, V. Elangovan, K.S. Dolbec, H.L. Warwick, R.H. Shuttleworth, T. Patel, R. Goodson, F.S. Brown, Jane Lim, O. Ziff, M. Rashid, V. Mirdavoudi, K.G. Reid, A. Broyd, E. Woon, M. Zuhair, A.D. Greenhalgh, L.R. Wingfield, S. Stevens, O. Hussain, G. Pandey, A. Bakhsh, I.B. Ptacek, J. Dobson, L. Bolton, A.L. Kerr, T.M.P. Fung, P. Narayan, T. Ward, Ruth Lyons, C. Robinson, Buket Gundogan, S. Akhtar, P. Vanmali, L. Austreng, N. Kelly, M. Kadicheeni, H Ali, P. Holton, H. Turley, C.J. Morrison, L. Hu, M. Sukkari, D.A. O'Sullivan, J. Brecher, C.J. White, M.A. Charalambos, William Bolton, M. Tahir, L. Grundy, T.P. Pezas, Ewan Brown, Nicholas Bullock, A.M.A. Shafi, A. Aslanyan, Michael F. Bath, H. Wilson, P.C. Copley, S.E. Scotcher, Heather Kennedy, N. Bassam, A. Omar, G.D. Stott, S. Ashraf, E. Galloway, R.D. Bartlett, H. Amin, Y.N. Neo, W.C. Soon, S. Rabinthiran, C. Phillips, L.A. Henderson, K. Whitehurst, A. Kahar, S. Sukumar, M.R. Williams, W.A. Gatfield, C. Ntala, K. Dear, A.R. Chitnis, M. Eragat, H.C. Huang, K. O'Sullivan, N. Yong, J. Robson, A. Valli, A. Mohite, G.J. Salam, F. Tongo, S. Lopes, R.A. O'Loughlin, S.L. Hickling, J. Fong, A. Chung, Kathy Nicholls, H. Abid, S. Balaji, J. Hardie, T. Reeves, H.R. Paine, M. Hayat, H. Nayee, Y.N. Suleman, S. Tan, M. Sharifpour, X. Chen, I. Barai, A. Yan, M.A. Gillies, T.W. Tilston, A. Kreibich, Y.H. Tan, A. Murtaza, Chris Dunn, P. Jull, J.W. Kim, A.D. Semana, N. Abuhussein, P. Shepherd, L. Derbyshire, P.M. McEnhill, J.B. Patel, C. Toh, T. Arif, B.W. Matthews, D. Shanahan, N. Seneviratne, L. Carr, A. Curran, A. Batho, L.D. O'Flynn, R. McAllister, A. Durr, Rahul Bhome, S. Mackin, K. Ahmad, R. Shaunak, S. Bassiony, H.A. Khokhar, R. Chin, R. Priestland, G.X.J. Sherliker, J.H. Entwisle, C. Anandarajah, H. Aziz, M. Chaudhary, A. Kishore, H. Adjei, M. Minhas, S.W. McLure, T. Kane, E. Ingram, T. Fautz, D. Chrastek, R. Singh, B.N. Shurovi, A. Asmadi, N. Ansari, J. Mahmood, K. Patel, A.N. Street, A. Thacoor, C. Girling, L. Cheskes, V. Shatkar, B. Ali, A. McGrath, Shaun Trecarten, J.D. Farmer, R. Dean, R.C. McLean, P.L.M. Harrison, S. Iqbal, S. Hirani, R. Fleck, S. Pope, C.Y. Kong, A.M. Demetri, H. Selvachandran, M. Malaj, H.K. Blege, B.D. Mistry, C.M. Grossart, R. Slade, S.A. Stanger, A.J. Dhutia, A. Amajuoyi, Ased Ali, M. Robinson, R. Punj, Jane Dickson, J. Lucas de Carvalho, Jessica Harvey, L.M. Bullman, D Nepogodiev, H.L. Joyce, Catrin Morgan, J. Paul, R. Vaughan, A. Prabhudesai, C. Egerton, A. Sheldon, C. Holloway, K. Brzyska, J. Ashwood, Christine McGarrigle, S. Pal, H. Rosen O'Sullivan, A. Rangedara, A. Hill, A. Szczap, S. Hudson-Phillips, J. Lavery, Harriet Mitchell, J.D.B. Hayes, M. Salem, F.A. Bamgbose, J. Bassett, V. Raghuvir, R. Dennis, S.E. Cox, C.J. Dewdney, N. Mitha, A.W. Roberts, Brij Patel, J. Wills, R. Goodier, R.M. Koshy, D. Weinberg, E.J. Griffin, Harriet L. Mills, A. Marsh, Z. Khonat, Kenneth A. McLean, E. Hester, T. Spencer, A.H.Y. Lee, J. Chong, L.R. Bookless, Michael J. Raphael, P. Sangal, M. McMenamin, H. Khalid, G.S. Harbhajan Singh, F.I. Chaudhry, N. Favero, J.E.F. Fitzgerald, Chetan Khatri, J. Remedios, A. Charania, Daniel J. George, S. Jackson, C. Murkin, R. Dawar, I. Kisyov, E. Wong, R.J. Pearse, A.N. Baker, L. Carthew, N. Warren, I. Adeleja, M. McCann, C. Drislane, R. Tan, S. Ho, K. Hulley, L. Doan, E.M. O'Neill, R. Gratton, M. Srikantharajah, C. Henderson, L. Puan, H. Whittingham, A. Johnston, E. Mckean, A.K. Tear, D. Varma, H. McFarlane, C.N. Lou, E.M. Cumber, Aneel Bhangu, Z.H. Siddiqui, J. Cleere, M. Chamberlain, James Glasbey, Sarah Ali, M. Masood, A. Linton, G. Chillarge, M. Davis-Hall, A. Anilkumar, U. Khan, A. Tai, R. Shepherd, Joshua Burke, W. Loke, M. Edison, A. Mortimer, N. Anim-Addo, R.S. Reehal, R. Blessed, Daniyal J. Jafree, M.S. Sait, H.C. Copley, N. Ward, M. Wells, K. Raji, J. Gulati, H. Keevil, C.A. Asbjoernsen, A. White, Nikita R. Bhatt, J. Barnes, S. Wang, F. Cheung, Clive Graham, K. Dynes, C. Dorman, E. Strange, A. Radotra, A. Reed, R. Nachiappan, I. Ibrahim, F. Acquaah, P. Jalota, S. Stezaker, J.E. Rogers, MI Perera, R. Kiff, T. Rangan, R. Weaver, E. Mazumdar, J. Beckett, Rowena McGregor, E.V. Wright, N. Punjabi, V. Charavanamuttu, Stephen O'Neill, S. Majid, Zulfiqarali G. Abbas, S.M. Lakhani, G. Rattan, J. Lua Boon Xuan, K. Joshi, HE Whewell, M. Patel, T.M. Schulz, O.K. Vernon, L.F. McClymont, N. Woodcock, L. Gray, Reena Shah, H. Thakur, F.S. Peck, P. Karia, L. Ashken, S. Rinkoff, M. McDowell, L. Chew, C.D. Blore, A.C.D. Smith, E. Auyoung, L.M. Sabine, O. Parker, S.M. Choi, V. Thirumal, J. Pickard, L. Murphy, C.J. Coffey, P. Dube, M.H. Abul, T. Khan, J. Campbell, M.T. Turner, Adam Gwozdz, K.K. Ong, B. Durrani, A. O'Kane, A.S. North, Najeeb Ahmed, C. Xiao, D. Maclennan, Nora Abdul Aziz, S.A. Semnani, L. Bell, Amy Ashton, L. Crozier, V. Teng, M. O'Bryan, K. Clesham, Vanisha Patel, L. Kretzmer, T. Lo, G.H. Stanley, M.D. Theodoreson, J.K. Mehta, F. Morris, L. Howells, R. Pinto, T. Bergara, J. Matheson, E. Devlin, E.T. Tan, E. Toner, L. Jacob, Sher Ahmad, J. Sellathurai, Catherine Doherty, J. Norton, C. Maxwell-Armstrong, S. Ng, T.R. Barrow, N. Boxall, A.A. Thevathasan, M. Ryan, E. Uppal, C. Jenvey, G.E. Aidoo-Micah, Karan Verma, U. Datta, F. Hirst, H. Woodward, J. Khangura, J. Chervenkoff, F. Edozie, E. Burke, M.G. Rasiah, A. Jaitley, Thomas L. Lewis, D. Lazenby, A. Lotfallah, A. Khan, E. McCance, Henry A. Claireaux, A.S. Fawaz, P.D. Jewell, R.G. Tharakan, R. Narramore, E. Heathcote, G. Nixon, H. Chin, E. Sun, L.S. Chew, K. Lim, G. Lakshmipathy, R. Telfer, B.A. Shuker, H. Kitt, O.D. Thompson, N. Behar, H. Naveed, R. Allot, E. Batt, E.J. Stone, J.M. Aithie, I. Henderson, Rakesh Heer, C. Deall, C.J. McIntyre, L. Dinsmore, S. Milne, Bhavik Anil Patel, N. Cody, A. Pandey, A. Kaushal, M.C. Sykes, N. Maple, R. Simpson, S. Lynne, S. Shahidi, M.I. Zegeye, B. Forte, P. Khonsari, G. Thomas, O. Sitta, V. Robertson, K. Mazan, J. Prest-Smith, D. O'Reilly, A. Sreh, A.E. Salih, Anna Craig-Mcquaide, Vandana Agarwal, E.G. Chisholm, Z. Afzal, G.L. de Bernier, P.W. Stather, Lucy Elliott, A. Collins, D. Lim, M. Abdelhadi, Q. Lu, and J. Stein

Subjects
Adult, Male, medicine.medical_specialty, Adolescent, Critical Care, medicine.medical_treatment, Patient Care Planning, Young Adult, 03 medical and health sciences, Patient Admission, 0302 clinical medicine, 030202 anesthesiology, Laparotomy, Intensive care, medicine, Humans, Hospital Mortality, Prospective Studies, Prospective cohort study, Digestive System Surgical Procedures, Aged, Aged, 80 and over, Postoperative Care, business.industry, Patient Selection, Professional Practice, Odds ratio, Middle Aged, United Kingdom, Confidence interval, Anesthesiology and Pain Medicine, Cohort, Emergency medicine, Female, Observational study, Emergencies, business, Ireland, Abdominal surgery
Abstract

Patient selection for critical care admission must balance patient safety with optimal resource allocation. This study aimed to determine the relationship between critical care admission, and postoperative mortality after abdominal surgery.This prespecified secondary analysis of a multicentre, prospective, observational study included consecutive patients enrolled in the DISCOVER study from UK and Republic of Ireland undergoing major gastrointestinal and liver surgery between October and December 2014. The primary outcome was 30-day mortality. Multivariate logistic regression was used to explore associations between critical care admission (planned and unplanned) and mortality, and inter-centre variation in critical care admission after emergency laparotomy.Of 4529 patients included, 37.8% (n=1713) underwent planned critical care admissions from theatre. Some 3.1% (n=86/2816) admitted to ward-level care subsequently underwent unplanned critical care admission. Overall 30-day mortality was 2.9% (n=133/4519), and the risk-adjusted association between 30-day mortality and critical care admission was higher in unplanned [odds ratio (OR): 8.65, 95% confidence interval (CI): 3.51-19.97) than planned admissions (OR: 2.32, 95% CI: 1.43-3.85). Some 26.7% of patients (n=1210/4529) underwent emergency laparotomies. After adjustment, 49.3% (95% CI: 46.8-51.9%, P0.001) were predicted to have planned critical care admissions, with 7% (n=10/145) of centres outside the 95% CI.After risk adjustment, no 30-day survival benefit was identified for either planned or unplanned postoperative admissions to critical care within this cohort. This likely represents appropriate admission of the highest-risk patients. Planned admissions in selected, intermediate-risk patients may present a strategy to mitigate the risk of unplanned admission. Substantial inter-centre variation exists in planned critical care admissions after emergency laparotomies.

Published
2019

4. Characterization and Fabrication of ABS and PLA-Based Polymer Matrix Composites Using 3D Printing

Author

Anandha Moorthy Appusamy, E. Prakash, Vinoth Kumar Selvakumar, S. Madheswaran, Arunkumar Rajamanickam, and P. Chandrasekar

Subjects
chemistry.chemical_classification, Materials science, Fabrication, business.industry, Composite number, 3D printing, Polymer, Biodegradable polymer, Characterization (materials science), chemistry, Fiber, Composite material, business, Natural fiber
Abstract

The recent dynamical world cannot imagine the growth without fetching any thought of upgrading in material composite. Numerous studies are taking place in these biodegradable polymer composite materials to attain the required standards. Biodegradable fiber embedded polymer composites have a strong correspondence to change the composite fabricated of plastics. Natural polymer materials have the following pros like low-cost, lightweight, improved strength, easy accessibility, non-toxic, non-abrasive, and decomposable properties. Researchers have extended their proficiency idea in the product design by using raw materials which consist of natural fiber. Natural fibers are stronger and also can be utilized in producing high-end quality viable manufacturing products. The primary intention of the current experimentation is to observe the mechanical performance of Gangura roselle fiber reinforced with thermoplastics composites. Gangura roselle fibers are reinforced in thermoplastics like PLA and ABS to produce composite materials. Later test for mechanical properties of the polymer matrix composite is verified as per different ASTM standards. The outcomes of the testing were plotted in the graph and the properties are observed and their uses in different mechanical applications.

Published
2021

5. Additive Manufacturing Parameter Optimization with Automated Post-printing Flaw Detection Using Convolutional Neural Networks

Author

E. Prakash, Anna Kalyani Naveen Sankar, M. Subramaniyan, and Kumaraguru Chandra Kumar

Subjects
Pixel, business.industry, Computer science, Deep learning, Process (computing), 3D printing, Pattern recognition, computer.software_genre, Convolutional neural network, Identification (information), Voxel, Artificial intelligence, Layer (object-oriented design), business, computer
Abstract

In additive manufacturing, the printing quality and errors are inevitable nowadays. The quality errors such as not extruding at start of the print, not sticking to the bed, stringing or oozing, layer shifting, layer separation and stops extruding mid print can lead to complete wastage of material and time. Detecting such defects while printing the piece will help eradicating the wastage of material and saves lots of valuable time. Providing a proper checkpoints and critical design identification where the defects are highly vulnerable can help us perform corrective measures in the early stages of printing. Here we present our findings on a novel approach based on visual pattern mining using volumetric elemental pixels popularly known as Voxels. The proposed finding provides an accelerated process monitoring and detection of printing failure conditions—by the method of classifying every layer of the printing 3D model into critical and normal layers using advanced deep learning pattern mining approach with convolutional neural networks and automatic choice of critical checkpoints from the classification, to calculate error deviation between the Voxel image of critical 3D printed layer with actual image of same layer from the semi-finished part. Integration of a camera in 3D printer, Voxel separation and processing, pattern mining, and deep machine learning provides the above-proposed system which results in high test accuracy >93% on unknown raw models. Images of parts are taken at various stages of the printing process according to the part geometry, and Voxel images are extracted from >20k 3D models. A deep learning method, convolutional neural networks (CNN), is proposed to classify the parts into either ‘normal’ or ‘critical’ category. Parts using PLA and FDM materials were printed to demonstrate the proposed framework. We demonstrate that this methodology precisely and unambiguously detects the print failure in most cases and stops the print for manual corrective measure.

Published
2021

6. Review on Recent Additive Manufacturing Technologies

Author

P. Mathan Kumar, C. Santhosh, Anandha Moorthy Appusamy, E. Prakash, M. Naveen, M. Dinesh, and Madheswaran Subramaniyan

Subjects
Toughness, Fabrication, business.industry, Computer science, Process (engineering), Ceramic matrix composite, law.invention, Selective laser sintering, Brittleness, law, visual_art, visual_art.visual_art_medium, Ceramic, Aerospace, business, Process engineering
Abstract

Additive manufacturing (AM) is the best technology in manufacturing the components without complexity. This technology is classified as seven categories by ASTM standards. Based on types of materials, it is classified into two. Materials and types of technology define the property of fabricated parts. Single material printed parts give less material property, to improve this property industries fetching towards making composite material to improve the mechanical strength and making functional parts. Ceramic matrix composites are substances which can be applied for excessive heat considered for different areas consisting of a glass, aerospace and so on. It may be hard to manufacture CMC using conventional mould techniques because of hardness and brittle. Additive manufacturing technology is virtual production technology that provides a couple of merits over traditional manufacturing process, together with producing complex elements, matrix-unfastened production, quick improvement process and so on. AM era has the same fashioning abilities in forming ceramics components, but the lack of bonding creates a lack of toughness, these properties are created prone to ceramic components fabrication failure.

Published
2021

7. Applications of Additive Manufacturing—A Review

Author

J. Vishnudeepan, S. Kalaivanan, Karuppan Sivakumar, S. Madheswaran, E. Prakash, and N. Someswaran

Subjects
Materials science, Fabrication, Fused deposition modeling, business.industry, Acrylonitrile butadiene styrene, Composite number, 3D printing, Nanotechnology, law.invention, Selective laser sintering, chemistry.chemical_compound, chemistry, law, Aerospace, business, Stereolithography
Abstract

3D printing produces components with complicated geometries without complexity. Printed part's strength depends on the material property. Optimizing the printing parameters provides improved mechanical properties of the printed parts. Even though it is not improved as expected, another method is to introduce the composite material. Polymer composites have increased mechanical properties, and so they are used in producing high-quality objects. 3D printing is helpful in various composites fabrication having high good-quality, high accuracy and custom designed model. Here, we present detailed theoretical study on various 3D printing technologies that use polymer composite as raw material. Due to various advantages in 3D printing technologies, they play an important role in biomedical, aerospace, automobile and electrical engineering. Common 3D printing technologies are selective laser sintering, stereolithography, fused deposition modeling which are studied. Further, we studied about acrylonitrile butadiene styrene (ABS) and injection molding process. In this work, we study on particles, fiber and nonmaterial composite.

Published
2021

8. Hyperlipidemia impairs uterine β-adrenergic signaling by reducing cAMP in late pregnant rats

Author

Vivek Srivastava, Santosh K. Mishra, Sakshi Chauhan, Subhashree Parida, E. Prakash, G Srinivasan, Manjit Panigrahi, and Thakur Uttam Singh

Subjects
0301 basic medicine, Agonist, Embryology, medicine.medical_specialty, Gs alpha subunit, medicine.drug_class, Gi alpha subunit, Hyperlipidemias, Adenylyl cyclase, Contractility, 03 medical and health sciences, chemistry.chemical_compound, 0302 clinical medicine, Endocrinology, Pregnancy, Internal medicine, Hyperlipidemia, medicine, Cyclic AMP, Animals, Rats, Wistar, Receptor, 030219 obstetrics & reproductive medicine, Forskolin, business.industry, Uterus, Obstetrics and Gynecology, Cell Biology, Adrenergic beta-Agonists, medicine.disease, Rats, 030104 developmental biology, Reproductive Medicine, chemistry, Receptors, Adrenergic, beta-3, Female, Receptors, Adrenergic, beta-2, business, Signal Transduction
Abstract

The aim of the present study was to reveal the effect of hyperlipidemia on β2- and β3-adrenergic signaling in late pregnant rat uterus. Hyperlipidemia was induced in female Wistar rats by feeding a high-fat high-cholesterol diet for 8 weeks before and after mating upto the 21st day of gestation. The effect of hyperlipidemia on β-adrenergic signaling was studied with the help of tension experiments, real-time PCR and cAMP ELISA in 21-day pregnant rat uterus. In tension experiments, hyperlipidemia neither altered the spontaneous contractility nor the oxytocin-induced contractions. However, it decreased the −logEC50 values of β2-adrenoceptor agonist, salbutamol and β3-adrenoceptor agonist, BRL37344. It also decreased the efficacy of adenylyl cyclase activator, forskolin. Further, there was a significant decrease in salbutamol and BRL37344-stimulated cAMP content in uterine tissues. However, there was no alteration in mRNA expressions of β2-adrenoceptor (Adrb2), β3-adrenoceptor (Adrb3) and Gs protein (Gnas) though there was a significant increase in the mRNA expression of Gi protein (Gnai). In conclusion, reduced cAMP content after beta-adrenergic receptor stimulation, which correlates with an increase in Gnai mRNA, may explain the mechanism of the impairment of uterine β-adrenergic signaling in hyperlipidemic pregnant rats. The clinical implication of the present study may relate to reduced myometrial relaxant response to β-adrenergic agonists in high fat-induced uterine dysfunction.

Published
2019

9. Density Based Traffic Control System Using Image Processing

Author

Arun A. Balakrishnan, K.T Vishnupriya, Uthara E. Prakash, and Athira Thankappan

Subjects
Computer science, business.industry, Image processing, Image segmentation, Signal, Seven-segment display, Control system, Computer vision, Stage (hydrology), Timer, Artificial intelligence, MATLAB, business, computer, computer.programming_language
Abstract

In this paper, a novel real-time traffic control system which can easily keep traffic in control using image processing techniques is presented. In this method, a webcam is used in each stage of the traffic light in order to take pictures of the roads where traffic is bound to occur. Count of vehicles in these images is calculated using image processing tools in Matlab and different timings are allocated according to the count along with a green signal for vehicles to pass. In the proposed prototype, the green and red signals are represented using LEDs and the decrementing timer for the green signal is represented by a seven segment display.

Published
2018

10. Structural Analysis on Swirling Grooved SCC Piston

Author

M. Parthasarathy, J. Isaac JoshuaRamesh Lalvani, K. Annamalai, Simon Jayaraj, and E. Prakash

Subjects
Piston, Materials science, law, business.industry, Radial piston pump, General Engineering, Mechanics, Structural engineering, Deformation (meteorology), business, Diesel engine, Combustion, law.invention
Abstract

This journal describes a study on the structural effects of DI diesel engine conventional piston and modified pistons. To enhance the combustion efficiency of the engine conventional piston has been modified as shallow depth piston bowl with swirling grooves on the piston crown. Three different widths (5.5mm, 6.5mm and 7.5mm) and constant depth (00 to 50) swirling grooves added on the shallow depth combustion chambered piston crown. The conventional piston and modified pistons has been modeled in CATIA software and structural analysis done in ANSYS 14. In structural analysis observed that deformation for the modified pistons are same and negligible as compared to the conventional piston.

Published
2014

11. A Strategic Study of Mining Fuzzy Association Rules Using Fuzzy Multiple Correlation Measues

Author

George Dharma Raj E. Prakash, Chellathurai A. Samuel, and Robinson P. John

Subjects
Fuzzy classification, Neuro-fuzzy, business.industry, lcsh:T57-57.97, lcsh:Mathematics, lcsh:QA1-939, Machine learning, computer.software_genre, Type-2 fuzzy sets and systems, Defuzzification, ComputingMethodologies_PATTERNRECOGNITION, lcsh:Applied mathematics. Quantitative methods, Fuzzy mathematics, Fuzzy number, Fuzzy set operations, Fuzzy associative matrix, ComputingMethodologies_GENERAL, Artificial intelligence, Data mining, business, computer, Mathematics
Abstract

Two different data variables may behave very similarly. Correlation is the problem of determining how much alike the two variables actually are and association rules are used just to show the relationships between data items. Mining fuzzy association rules is the job of finding the fuzzy item-sets which frequently occur together in large fuzzy data set, where the presence of one fuzzy item-set in a record does not necessarily imply the presence of the other one in the same record. In this paper a new method of discovering fuzzy association rules using fuzzy correlation rules is proposed, because the fuzzy support and confidence measures are insufficient at filtering out uninteresting fuzzy correlation rules. To tackle this weakness, a fuzzy correlation measure for fuzzy numbers, is used to augment the fuzzy support-confidence framework for fuzzy association rules. We have extended the Apriori algorithm to fuzzy multiple correlation analysis, which is the new approach presented in this paper comparing to most of the previous works. A practical study over the academic behaviour of a particular school is done and some valuable suggestions are given, based on the results obtained.

Published
2012

12. Volume rendering of unstructured grids—A voxelization approach

Author

C. E. Prakash and S. Manohar

Subjects
Computer science, business.industry, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, General Engineering, Volume rendering, Grid, computer.software_genre, Computer Graphics and Computer-Aided Design, 3D rendering, Rendering (computer graphics), Human-Computer Interaction, Polyhedron, Voxel, Computer graphics (images), Tiled rendering, Graphics, business, computer, ComputingMethodologies_COMPUTERGRAPHICS
Abstract

A new voxelization algorithm is presented for fast and accurate volume rendering of unstructured grids. All objects in the grid are reduced to voxels, and all the rendering is done on the voxel-volume. The algorithm is length, area and volume coherent and eliminates the need for sorting of polyhedra before rendering. All computations have been reduced to incremental computations in 1-D space.

Published
1995

13. Outcome of probing for congenital nasolacrimal duct obstruction in older children

Author

Vasudha E Prakash, Gullapalli N Rao, and Santosh G Honavar

Subjects
Male, medicine.medical_specialty, Poor prognosis, Adolescent, Eye disease, Fluorophotometry, Lacrimal Duct Obstruction, medicine, Humans, Prospective Studies, Prospective cohort study, Child, Nasolacrimal duct, business.industry, Outcome measures, medicine.disease, Complete resolution, Lacrimal sac, Surgery, Ophthalmology, medicine.anatomical_structure, Nasolacrimal duct obstruction, Treatment Outcome, Child, Preschool, Tears, Female, business, Dacryocystorhinostomy, Nasolacrimal Duct
Abstract

To evaluate the role of probing in congenital nasolacrimal duct obstruction in children age 2 years and older and to establish factors predictive of the outcome.The study was a single-center, prospective, interventional case series. Sixty patients with congenital nasolacrimal duct obstruction aged 24 months or older (range, 24 to 186 months; median, 33 months) presenting consecutively to the authors' institutional referral practice were studied. Probing of the nasolacrimal system under general anesthesia was the surgical intervention. Success of probing was the main outcome measure. Success was predefined as complete resolution of symptoms and signs (tearing, crusting, discharge, regurgitation on pressure over the lacrimal sac) of congenital nasolacrimal duct obstruction within 3 weeks of the procedure and continued remission at 6 months. Two attempts at probing were necessary before the procedure was declared a failure.One attempt at probing resulted in resolution in 73.3% (44 of 60) patients. Sixteen patients needed a repeat procedure. The overall success rate was 80% (48 of 60). Two specific types of obstructions of the nasolacrimal duct were recognized on probing: membranous and firm. Factors predictive of failure of probing were age older than 36 months (P.0001); bilateral affection (P =.012); failed conservative therapy (P =.015); failed earlier probing (P.0001); dilated lacrimal sac (P.0001); and firm obstruction (P.0001).Results indicate that probing is a viable primary surgical option for congenital nasolacrimal duct obstruction in children who present between 2 and 3 years of age, and identify factors predictive of poor prognosis.

Published
2000

14. Design of hazardous pharmaceutical waste disposal system

Author

V Babu and E Prakash

Subjects
Engineering, Waste management, Household hazardous waste, Hazardous waste, business.industry, Chemotherapy Drugs, Public Health, Environmental and Occupational Health, Pharmaceutical waste, Poison control, business, Environmentally friendly, Pharmaceutical industry, Incineration
Abstract

The pharmaceutical industries produce various types of life saving drugs which use chemicals of the type of corrosive, toxic, inflammable and hazardous chemicals in the raw stage. In the recent past several industrial disasters have occurred which have taken a heavy toll of human life and property due to the hazardous nature of the chemicals. These incidents have also focused the attention to know and control the various hazards involved during the production of bulk drugs & pharmaceuticals. The hazards in the drugs and pharmaceutical industry may arise due to the hazardous properties of the chemicals such as explosively, inflammability, corrosively, toxicity, chemical degradation and release of free radicals etc. Therefore, it is essential that managers in drug & pharmaceuticals industry must put their best efforts to identify the hazards involved in manufacturing set up of their industrial units and take necessary steps to control them efficiently and to maintain the environment clean. Environmental Protection Act has listed hundreds of chemicals which are hazardous and were discarded which act as the sole active ingredient. These chemicals were classified as the P-list and U-list. Some of these chemical are common pharmaceuticals such as Epinephrine, Warfarin, Nicotine and seven of the chemotherapy drugs. So pharmaceuticals wastes come out during the production are considered as hazardous waste. So these wastes are to be safety handled and disposed. This paper deals with the disposal of the pharmaceutical waste efficiently and eco friendly by designing the proper disposal method such as Secured Land fill and Incineration.

Published
2010

Catalog

Books, media, physical & digital resources
See catalog results