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4. DYNAMICS OF SERUM BIOCHEMICAL ATTRIBUTES IN INDIGENOUS SIPLI SHEEP BREED KEPT UNDER INTENSIVE FARMING SYSTEM.

Author

Idris, M., Farooq, U., Lashari, M. H., Qayyum, S., Arshad, A., Riaz, U., Khan, M. A., Fatima, I., and Sajjad, H.

Abstract

The present study is the first record of deducing age-wise and sex-wise normal reference intervals (RIs) for various serum biochemical attributes in apparently healthy Sipli sheep being reared under intensive farming system at Livestock Farm of the Faculty of Veterinary and Animal Sciences (FV&AS), The Islamia University of Bahawalpur (IUB). Blood samples were aseptically collected, serum was harvested and analyzed for serum chemistry analytes through semiautomatic chemistry analyzer using commercial kits. For the sake of analysis, groups were assigned as per age i.e. G1= up till 1year (n= 41), G2= from 1 to 2 years (n= 46), G3= from 2 to 3 years (n= 43) and as per sex i.e. females (n= 79) and males (n= 51). All the overall mean values and RIs for all the studied attributes were within the reference ranges provided in earlier studies for sheep. Bilirubin, Alkaline Phosphatase (ALP) and creatinine were significantly (P=0.05) lower in females as compared to those in males. However, uric acid was significantly (P=0.05) higher for females 52.8±2.6mmols/L as compared to 44.5±2.9mmols/L for males. The remaining attributes (Alanine Transaminase, Aspartate Aminotransferase, Total Proteins, Albumin, Glucose, Low Density Lipoproteins, High Density Lipoproteins and Urea) did not differ -significantly (P=0.05) between male and female sheep under study. For age-related results, only ALP, glucose and HDL were significantly (P=0.05) different between the three studied age groups of Sipli sheep. The ALP and glucose were higher in G1 animals (up till 1 year) whereas HDL was lower in G2 animals (from 1 to 2 years) as compared to their counter-part groups 1 and 3. The data can be beneficial in diagnostic/prognostic purpose for veterinarians, academicians, researchers and all other stakeholders of sheep-rearing sector in Pakistan as well as for other indigenous sheep breeds being reared under similar climatic conditions throughout the world. [ABSTRACT FROM AUTHOR]

Published
2024
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9. The Global Retinoblastoma Outcome Study: a prospective, cluster-based analysis of 4064 patients from 149 countries

Author

Alia, DB, Tandili, A, Paiva, L, Wime, AD, Chantada, GL, Fandino, AC, Sgroi, M, Papyan, R, Tamamyan, G, Camuglia, JE, Gole, GA, Clark, A, Lam, GC, Elder, JE, McKenzie, JD, Staffieri, SE, Jones, MM, Manudhane, R, Sia, D, Ritter-Sovinz, P, Schwab, C, Balayeva, R, Khan, Z, Nuruddin, M, Roy, SR, Rashid, R, Sultana, S, Shakoor, SA, Naumenko, L, Zhilyaeva, K, Bartoszek, P, Brichard, BG, De Potter, P, Bio, AIA, Salas, B, Coleoni Suarez, ME, Mbumba, FB, Bonanomi, MTBC, Donato Macedo, CR, Grigorovski, NDAK, Mattosinho, CCDS, Teixeira, LF, Oscar, AH, Veleva-Krasteva, NV, Bouda, GC, Kabore, RL, Philbert, R, Evina, TGA, Nkumbe, HE, Kamsang, P, Muyen, OM, Dimaras, H, Mallipatna, A, Hamel, P, Superstein, R, Paton, KE, Strahlendorf, C, Palet, JEKK, Tyau-Tyau, H, Cavieres, I, Lopez, JP, Oporto, J, Ossandon, D, Chen, W, Xiang, D, Du, Y, Li, K, Ji, X, Tang, J, Li, C, Xu, B, Qian, J, Xue, K, Sun, X, Wang, Y-Z, Zhang, Y, Wu, S-Q, Xiao, Y, Yang, H, Ye, H, Polania, RA, Berete, RC, Couitchere, L, Peric, S, Alemany-Rubio, E, Gonzalez-Rodriguez, L, Autrata, R, Kepak, T, Pochop, P, Svojgr, K, Gregersen, PA, Urbak, SF, Montero, MM, Budiongo, A, Yanga, JM, Amani, TBK, Lukamba, RM, Numbi, MN, Calle Jara, DA, Villacis Chafla, EG, Sanchez, GL, Abouelnaga, S, Afifi, MA, Elhaddad, AM, Ali, AM, Elzembely, M, Said, AMA, Ziko, OAO, Fuentes-Alabi, SL, Goenz, MA, Eerme, K, Klett, A, Hordofa, DF, Mengesha, AA, Sherief, ST, Kivela, TT, Nummi, K, Cassoux, N, Desjardins, L, Obono-Obiang, G, Kardava, T, Khotenashvili, Z, Bechrakis, NE, Biewald, EM, Schlueter, S, Ketteler, P, Amankwaa-Frempong, D, Essuman, VA, Paintsil, V, Renner, LA, Alejos, A, Giron, A, Carreras, YA, Fu, LD, Maldonado, C, Wong, ES, Yam, JC, Csoka, M, Maka, E, Aggarwal, P, Gupta, V, Bhaduri, A, Bhattacharyya, A, Das, A, Chawla, B, Das, P, Das, S, Gupta, H, Gupta, S, Verma, N, Kaliki, S, Khetan, V, Maitra, P, Mahajan, A, Menon, V, Mishra, DKC, Palanivelu, MS, Ramanjulu, R, Mudaliar, SS, Nair, AG, Natarajan, S, Seth, R, Singh, U, Bhat, S, Dudeja, G, Tripathy, D, Akib, IMNR, Pagarra, H, Amiruddin, PO, Kuntorini, MW, Armytasari, I, Supriyadi, E, Sutyawan, IWE, Yuliawati, P, Lutfi, D, Soebagjo, HD, Rahman, A, Sitorus, RS, Victor, AA, Tehuteru, ES, Widiarti, W, Nency, YM, Faranoush, M, Mehrvar, A, Tashvighi, M, Sedaghat, A, Ghassemi, F, Khodabande, A, Abdulqader, RA, Al-Shaheen, AASM, Al Ani, MH, Haydar, H, Al-Badri, SAF, Al-Jadiry, MF, Sabhan, AH, Al-Jumaily, U, Al-Mafrachi, AARM, Al-Shammary, EH, Al-Janabi, ANH, Qadir, AO, Capra, M, Blum, S, Gomel, N, Fabian, ID, Goldberg, H, Kapelushnik, N, Madgar, S, Vishnevskia-Dai, V, Frenkel, S, Pe'er, J, Gorfine, M, Refaeli, D, Steinberg, DM, Lavy, Y, Toledano, H, Caspi, S, De Francesco, S, Hadjistilianou, T, Ida, R, Valente, P, Midena, E, Parrozzani, R, Cowan-Lyn, KE, Vaughan, LO, Suzuki, S, Mohammad, MT, Yousef, YA, Manzhuova, L, Atsiaya, R, Matende, IO, Begimkulova, AS, Makimbetov, EK, Keomisy, J, Sayalith, P, Valeina, S, Viksnins, M, Al-Haddad, CE, Saab, RH, Alsawidi, KM, Elbahi, AM, Krivaitiene, D, Tateshi, B, Randrianarisoa, HL, Raobela, L, Msukwa, G, Nyirenda, C, Hamzah, N, Teh, KH, Sylla, F, Traore, F, Cheikh, SS, Zein, E, Perez, GG, Sanchez Orozco, AJ, Ortega-Hernandez, M, Ramirez-Ortiz, MA, Chuluunbat, T, Abdallah, E, Benmiloud, S, El Kettani, A, Hessissen, L, Almeida, AA, Limbu, B, Rajkarnikar, P, Saiju, R, Moll, AC, Wijsard, MVH, Cockcroft, RL, Ng, Y, Dodgshun, AJ, Calderon-Sotelo, P, Abdullahi, SU, Hassan, S, Umar, AB, Abdulrahaman, AA, Wali, AH, Ademola-Popoola, DS, Adio, A, Aghaji, AE, Ezegwui, IR, Akinsete, A, Musa, KO, Fasina, O, Ibanga, A, Nkanga, ED, Mustapha, T, Ribadu, D, Hummelen, M, Ahmad, A, Mushtaq, A, Qayyum, S, Chaudhry, S, Fadoo, Z, Jeeva, I, Masud, S, Hamid, SA, Zia, N, Siddiqui, SN, Janjua, T, Yaqub, MA, Khaqan, HA, Quintero D, K, Yee, R, Jairaj, V, Cano, MR, Fernandez, DDPG, Diaz Coronado, RY, Zapata Lopez, AM, Garcia, JL, Ponce, J, Garcia Pacheco, HN, Pascual Morales, CR, Vasquez Anchaya, JK, Tarrillo Leiva, FF, Alcasabas, APA, Mercado, GJ, Cieslik, K, Hautz, W, Rogowska, A, Castela, G, Silva, S, Jo, DH, Kim, JH, Comsa, C, Dragomir, MD, Neroev, V, Saakyan, S, Polyakov, V, Ushakova, TL, Yarovaya, VA, Yarovoy, AA, Theophile, T, Al Mesfer, S, Maktabi, A, Al-Dahmash, SA, Alkatan, HM, Moreira, C, Roth, PAN, Ilic, VR, Nikitovic, M, Latinovic, S, Quah, B, Tan, D, Hederova, S, Husakova, K, Groznik, AL, Pompe, MT, Davidson, A, Du Bruyn, M, Du Plessis, J, Stones, DK, Geel, JA, Myezo, KH, Kruger, M, Mayet, I, Naidu, G, Naidu, N, Mustak, H, Reynders, D, Wetter, J, Alarcon Portabella, S, Martin-Begue, N, Wolley Dod, C, Balaguer, J, Barranco, H, Catala-Mora, J, Correa Llano, MG, Fernandez-Teijeiro, A, Garcia Aldana, D, Peralta Calvo, J, San Roman Pacheco, S, Gunasekera, DS, Elhassan, MMA, Mohamedani, AA, All-Eriksson, C, Bartuma, K, Popovic, MB, Munier, FL, Liu, C-H, Chiwanga, FS, Kyara, A, Mndeme, FG, Msina, MS, Scanlan, TA, Atchaneeyasakul, L-O, Buaboonnam, J, Dangboon, W, Singha, P, Hongeng, S, Kulvichit, K, Rojanaporn, D, Surukrattanaskul, S, Wangtiraumnuay, N, Wiwatwongwana, A, Wiwatwongwana, D, Wongwai, P, Sharma, MK, Guedenon, KM, Bouguila, H, Atalay, HT, Hasanreisoglu, M, Ataseven, E, Kantar, M, Gunduz, AK, Kebudi, R, Kiratli, H, Koc, I, Tuncer, S, Unal, E, Kalinaki, A, Matua, M, Waddell, K, Musika, AA, Ssali, G, Al Harby, L, Reddy, MA, Astbury, NJ, Bascaran, C, Bowman, R, Burton, MJ, Foster, A, Zondervan, M, Sagoo, MS, Bobrova, N, Sorochynska, T, Lysytsia, L, Castillo, L, Afshar, AR, Berry, JL, Kim, JW, Randhawa, JK, Binkley, E, Boldt, HC, Larson, SA, Brennan, RC, Chandramohan, A, Stacey, AW, Corson, TW, Plager, DA, Davanzo, JM, Singh, AD, Demirci, H, Ericksen, C, Magrath, GN, Gold, AS, Murray, TG, Gonzalez, E, Shah, AS, Hansen, ED, Hartnett, ME, Harbour, JW, Hubbard, GB, Uner, OE, Laurenti, KD, Mets, MB, Leverant, AA, Ramasubramanian, A, Luna-Fineman, S, Miller, A, Skalet, AH, Mruthyunjaya, P, Hassan, M, Oliver, SC, Shields, CL, Yaghy, A, Stahl, ED, Wilson, MW, Villegas, VM, Islamov, Z, Usmanov, RH, Graells, J, Romero, L, Pham, CTM, Trang, DL, Al-Hussaini, HH, Thawaba, ADM, Muma, KIM, Nyaywa, M, Alia, DB, Tandili, A, Paiva, L, Wime, AD, Chantada, GL, Fandino, AC, Sgroi, M, Papyan, R, Tamamyan, G, Camuglia, JE, Gole, GA, Clark, A, Lam, GC, Elder, JE, McKenzie, JD, Staffieri, SE, Jones, MM, Manudhane, R, Sia, D, Ritter-Sovinz, P, Schwab, C, Balayeva, R, Khan, Z, Nuruddin, M, Roy, SR, Rashid, R, Sultana, S, Shakoor, SA, Naumenko, L, Zhilyaeva, K, Bartoszek, P, Brichard, BG, De Potter, P, Bio, AIA, Salas, B, Coleoni Suarez, ME, Mbumba, FB, Bonanomi, MTBC, Donato Macedo, CR, Grigorovski, NDAK, Mattosinho, CCDS, Teixeira, LF, Oscar, AH, Veleva-Krasteva, NV, Bouda, GC, Kabore, RL, Philbert, R, Evina, TGA, Nkumbe, HE, Kamsang, P, Muyen, OM, Dimaras, H, Mallipatna, A, Hamel, P, Superstein, R, Paton, KE, Strahlendorf, C, Palet, JEKK, Tyau-Tyau, H, Cavieres, I, Lopez, JP, Oporto, J, Ossandon, D, Chen, W, Xiang, D, Du, Y, Li, K, Ji, X, Tang, J, Li, C, Xu, B, Qian, J, Xue, K, Sun, X, Wang, Y-Z, Zhang, Y, Wu, S-Q, Xiao, Y, Yang, H, Ye, H, Polania, RA, Berete, RC, Couitchere, L, Peric, S, Alemany-Rubio, E, Gonzalez-Rodriguez, L, Autrata, R, Kepak, T, Pochop, P, Svojgr, K, Gregersen, PA, Urbak, SF, Montero, MM, Budiongo, A, Yanga, JM, Amani, TBK, Lukamba, RM, Numbi, MN, Calle Jara, DA, Villacis Chafla, EG, Sanchez, GL, Abouelnaga, S, Afifi, MA, Elhaddad, AM, Ali, AM, Elzembely, M, Said, AMA, Ziko, OAO, Fuentes-Alabi, SL, Goenz, MA, Eerme, K, Klett, A, Hordofa, DF, Mengesha, AA, Sherief, ST, Kivela, TT, Nummi, K, Cassoux, N, Desjardins, L, Obono-Obiang, G, Kardava, T, Khotenashvili, Z, Bechrakis, NE, Biewald, EM, Schlueter, S, Ketteler, P, Amankwaa-Frempong, D, Essuman, VA, Paintsil, V, Renner, LA, Alejos, A, Giron, A, Carreras, YA, Fu, LD, Maldonado, C, Wong, ES, Yam, JC, Csoka, M, Maka, E, Aggarwal, P, Gupta, V, Bhaduri, A, Bhattacharyya, A, Das, A, Chawla, B, Das, P, Das, S, Gupta, H, Gupta, S, Verma, N, Kaliki, S, Khetan, V, Maitra, P, Mahajan, A, Menon, V, Mishra, DKC, Palanivelu, MS, Ramanjulu, R, Mudaliar, SS, Nair, AG, Natarajan, S, Seth, R, Singh, U, Bhat, S, Dudeja, G, Tripathy, D, Akib, IMNR, Pagarra, H, Amiruddin, PO, Kuntorini, MW, Armytasari, I, Supriyadi, E, Sutyawan, IWE, Yuliawati, P, Lutfi, D, Soebagjo, HD, Rahman, A, Sitorus, RS, Victor, AA, Tehuteru, ES, Widiarti, W, Nency, YM, Faranoush, M, Mehrvar, A, Tashvighi, M, Sedaghat, A, Ghassemi, F, Khodabande, A, Abdulqader, RA, Al-Shaheen, AASM, Al Ani, MH, Haydar, H, Al-Badri, SAF, Al-Jadiry, MF, Sabhan, AH, Al-Jumaily, U, Al-Mafrachi, AARM, Al-Shammary, EH, Al-Janabi, ANH, Qadir, AO, Capra, M, Blum, S, Gomel, N, Fabian, ID, Goldberg, H, Kapelushnik, N, Madgar, S, Vishnevskia-Dai, V, Frenkel, S, Pe'er, J, Gorfine, M, Refaeli, D, Steinberg, DM, Lavy, Y, Toledano, H, Caspi, S, De Francesco, S, Hadjistilianou, T, Ida, R, Valente, P, Midena, E, Parrozzani, R, Cowan-Lyn, KE, Vaughan, LO, Suzuki, S, Mohammad, MT, Yousef, YA, Manzhuova, L, Atsiaya, R, Matende, IO, Begimkulova, AS, Makimbetov, EK, Keomisy, J, Sayalith, P, Valeina, S, Viksnins, M, Al-Haddad, CE, Saab, RH, Alsawidi, KM, Elbahi, AM, Krivaitiene, D, Tateshi, B, Randrianarisoa, HL, Raobela, L, Msukwa, G, Nyirenda, C, Hamzah, N, Teh, KH, Sylla, F, Traore, F, Cheikh, SS, Zein, E, Perez, GG, Sanchez Orozco, AJ, Ortega-Hernandez, M, Ramirez-Ortiz, MA, Chuluunbat, T, Abdallah, E, Benmiloud, S, El Kettani, A, Hessissen, L, Almeida, AA, Limbu, B, Rajkarnikar, P, Saiju, R, Moll, AC, Wijsard, MVH, Cockcroft, RL, Ng, Y, Dodgshun, AJ, Calderon-Sotelo, P, Abdullahi, SU, Hassan, S, Umar, AB, Abdulrahaman, AA, Wali, AH, Ademola-Popoola, DS, Adio, A, Aghaji, AE, Ezegwui, IR, Akinsete, A, Musa, KO, Fasina, O, Ibanga, A, Nkanga, ED, Mustapha, T, Ribadu, D, Hummelen, M, Ahmad, A, Mushtaq, A, Qayyum, S, Chaudhry, S, Fadoo, Z, Jeeva, I, Masud, S, Hamid, SA, Zia, N, Siddiqui, SN, Janjua, T, Yaqub, MA, Khaqan, HA, Quintero D, K, Yee, R, Jairaj, V, Cano, MR, Fernandez, DDPG, Diaz Coronado, RY, Zapata Lopez, AM, Garcia, JL, Ponce, J, Garcia Pacheco, HN, Pascual Morales, CR, Vasquez Anchaya, JK, Tarrillo Leiva, FF, Alcasabas, APA, Mercado, GJ, Cieslik, K, Hautz, W, Rogowska, A, Castela, G, Silva, S, Jo, DH, Kim, JH, Comsa, C, Dragomir, MD, Neroev, V, Saakyan, S, Polyakov, V, Ushakova, TL, Yarovaya, VA, Yarovoy, AA, Theophile, T, Al Mesfer, S, Maktabi, A, Al-Dahmash, SA, Alkatan, HM, Moreira, C, Roth, PAN, Ilic, VR, Nikitovic, M, Latinovic, S, Quah, B, Tan, D, Hederova, S, Husakova, K, Groznik, AL, Pompe, MT, Davidson, A, Du Bruyn, M, Du Plessis, J, Stones, DK, Geel, JA, Myezo, KH, Kruger, M, Mayet, I, Naidu, G, Naidu, N, Mustak, H, Reynders, D, Wetter, J, Alarcon Portabella, S, Martin-Begue, N, Wolley Dod, C, Balaguer, J, Barranco, H, Catala-Mora, J, Correa Llano, MG, Fernandez-Teijeiro, A, Garcia Aldana, D, Peralta Calvo, J, San Roman Pacheco, S, Gunasekera, DS, Elhassan, MMA, Mohamedani, AA, All-Eriksson, C, Bartuma, K, Popovic, MB, Munier, FL, Liu, C-H, Chiwanga, FS, Kyara, A, Mndeme, FG, Msina, MS, Scanlan, TA, Atchaneeyasakul, L-O, Buaboonnam, J, Dangboon, W, Singha, P, Hongeng, S, Kulvichit, K, Rojanaporn, D, Surukrattanaskul, S, Wangtiraumnuay, N, Wiwatwongwana, A, Wiwatwongwana, D, Wongwai, P, Sharma, MK, Guedenon, KM, Bouguila, H, Atalay, HT, Hasanreisoglu, M, Ataseven, E, Kantar, M, Gunduz, AK, Kebudi, R, Kiratli, H, Koc, I, Tuncer, S, Unal, E, Kalinaki, A, Matua, M, Waddell, K, Musika, AA, Ssali, G, Al Harby, L, Reddy, MA, Astbury, NJ, Bascaran, C, Bowman, R, Burton, MJ, Foster, A, Zondervan, M, Sagoo, MS, Bobrova, N, Sorochynska, T, Lysytsia, L, Castillo, L, Afshar, AR, Berry, JL, Kim, JW, Randhawa, JK, Binkley, E, Boldt, HC, Larson, SA, Brennan, RC, Chandramohan, A, Stacey, AW, Corson, TW, Plager, DA, Davanzo, JM, Singh, AD, Demirci, H, Ericksen, C, Magrath, GN, Gold, AS, Murray, TG, Gonzalez, E, Shah, AS, Hansen, ED, Hartnett, ME, Harbour, JW, Hubbard, GB, Uner, OE, Laurenti, KD, Mets, MB, Leverant, AA, Ramasubramanian, A, Luna-Fineman, S, Miller, A, Skalet, AH, Mruthyunjaya, P, Hassan, M, Oliver, SC, Shields, CL, Yaghy, A, Stahl, ED, Wilson, MW, Villegas, VM, Islamov, Z, Usmanov, RH, Graells, J, Romero, L, Pham, CTM, Trang, DL, Al-Hussaini, HH, Thawaba, ADM, Muma, KIM, and Nyaywa, M

Abstract

BACKGROUND: Retinoblastoma is the most common intraocular cancer worldwide. There is some evidence to suggest that major differences exist in treatment outcomes for children with retinoblastoma from different regions, but these differences have not been assessed on a global scale. We aimed to report 3-year outcomes for children with retinoblastoma globally and to investigate factors associated with survival. METHODS: We did a prospective cluster-based analysis of treatment-naive patients with retinoblastoma who were diagnosed between Jan 1, 2017, and Dec 31, 2017, then treated and followed up for 3 years. Patients were recruited from 260 specialised treatment centres worldwide. Data were obtained from participating centres on primary and additional treatments, duration of follow-up, metastasis, eye globe salvage, and survival outcome. We analysed time to death and time to enucleation with Cox regression models. FINDINGS: The cohort included 4064 children from 149 countries. The median age at diagnosis was 23·2 months (IQR 11·0-36·5). Extraocular tumour spread (cT4 of the cTNMH classification) at diagnosis was reported in five (0·8%) of 636 children from high-income countries, 55 (5·4%) of 1027 children from upper-middle-income countries, 342 (19·7%) of 1738 children from lower-middle-income countries, and 196 (42·9%) of 457 children from low-income countries. Enucleation surgery was available for all children and intravenous chemotherapy was available for 4014 (98·8%) of 4064 children. The 3-year survival rate was 99·5% (95% CI 98·8-100·0) for children from high-income countries, 91·2% (89·5-93·0) for children from upper-middle-income countries, 80·3% (78·3-82·3) for children from lower-middle-income countries, and 57·3% (52·1-63·0) for children from low-income countries. On analysis, independent factors for worse survival were residence in low-income countries compared to high-income countries (hazard ratio 16·67; 95% CI 4·76-50·00), cT4 advanced tumour compared to

Published
2022

11. Different Diagnostic Findings in patients with Gross Hematuria on Computed Tomography Urography

Author

Ata, Tehreem, primary, Maryam, Sarah, additional, Zakir, Muhammad, additional, Qayyum, S., additional, Farooq, S. M. Y., additional, Fatima, M., additional, Iqbal, A., additional, Gilani, S. A., additional, Shafiq, M., additional, Tariq, A., additional, Khan, H., additional, ., Leena,, additional, Sajjad, S., additional, Batool, A., additional, Sial, A., additional, and Abidin, M. Z. Ul, additional

Published
2022
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12. Uavs in disaster management: Application of integrated aerial imagery and convolutional neural network for flood detection

Author

Munawar, HS, Ullah, F, Qayyum, S, Khan, SI, Mojtahedi, M, Munawar, HS, Ullah, F, Qayyum, S, Khan, SI, and Mojtahedi, M

Abstract

Floods have been a major cause of destruction, instigating fatalities and massive damage to the infrastructure and overall economy of the affected country. Flood-related devastation results in the loss of homes, buildings, and critical infrastructure, leaving no means of communication or travel for the people stuck in such disasters. Thus, it is essential to develop systems that can detect floods in a region to provide timely aid and relief to stranded people, save their livelihoods, homes, and buildings, and protect key city infrastructure. Flood prediction and warning systems have been implemented in developed countries, but the manufacturing cost of such systems is too high for developing countries. Remote sensing, satellite imagery, global positioning system, and geographical information systems are currently used for flood detection to assess the flood-related damages. These techniques use neural networks, machine learning, or deep learning methods. However, unmanned aerial vehicles (UAVs) coupled with convolution neural networks have not been explored in these contexts to instigate a swift disaster management response to minimize damage to infrastructure. Accordingly, this paper uses UAV-based aerial imagery as a flood detection method based on Convolutional Neural Network (CNN) to extract flood-related features from the images of the disaster zone. This method is effective in assessing the damage to local infrastructures in the disaster zones. The study area is based on a flood-prone region of the Indus River in Pakistan, where both pre-and post-disaster images are collected through UAVs. For the training phase, 2150 image patches are created by resizing and cropping the source images. These patches in the training dataset train the CNN model to detect and extract the regions where a flood-related change has occurred. The model is tested against both pre-and post-disaster images to validate it, which has positive flood detection results with an accuracy of 91

Published
2021

13. Towards Smart Healthcare: UAV-Based Optimized Path Planning for Delivering COVID-19 Self-Testing Kits Using Cutting Edge Technologies

Author

Munawar, HS, Inam, H, Ullah, F, Qayyum, S, Kouzani, Abbas, Mahmud, M A Parvez, Munawar, HS, Inam, H, Ullah, F, Qayyum, S, Kouzani, Abbas, and Mahmud, M A Parvez

Abstract

Coronavirus Disease 2019 (COVID-19) has emerged as a global pandemic since late 2019 and has affected all forms of human life and economic developments. Various techniques are used to collect the infected patients’ sample, which carries risks of transferring the infection to others. The current study proposes an AI-powered UAV-based sample collection procedure through self-collection kits delivery to the potential patients and bringing the samples back for testing. Using a hypothetical case study of Islamabad, Pakistan, various test cases are run where the UAVs paths are optimized using four key algorithms, greedy, intra-route, inter-route, and tabu, to save time and reduce carbon emissions associated with alternate transportation methods. Four cases with 30, 50, 100, and 500 patients are investigated for delivering the self-testing kits to the patients. The results show that the Tabu algorithm provides the best-optimized paths covering 31.85, 51.35, 85, and 349.15 km distance for different numbers of patients. In addition, the algorithms optimize the number of UAVs to be used in each case and address the studied cases patients with 5, 8, 14, and 71 UAVs, respectively. The current study provides the first step towards the practical handling of COVID-19 and other pandemics in developing countries, where the risks of spreading the infections can be minimized by reducing person-to-person contact. Furthermore, the reduced carbon footprints of these UAVs are an added advantage for developing countries that struggle to control such emissions. The proposed system is equally applicable to both developed and developing countries and can help reduce the spread of COVID-19 through minimizing the person-to-person contact, thus helping the transformation of healthcare to smart healthcare

Published
2021

17. 517 20-hydroxytachysterol: Synthesis and biological activity

Author

Slominski, A.T., primary, Kim, T., additional, Slominski, R., additional, Qayyum, S., additional, Song, Y., additional, Janjetovic, Z., additional, Podgorska, E., additional, Reddy, S.B., additional, Raman, C., additional, Atigadda, V., additional, Tuckey, R., additional, and Holick, M., additional

Published
2021
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19. Global Retinoblastoma Presentation and Analysis by National Income Level

Author

Fabian, ID, Abdallah, E, Abdullahi, SU, Abdulqader, RA, Boubacar, SA, Ademola-Popoola, DS, Adio, A, Afshar, AR, Aggarwal, P, Aghaji, AE, Ahmad, A, Akib, MNR, Al Harby, L, Al Ani, MH, Alakbarova, A, Portabella, SA, Al-Badri, SAF, Alcasabas, APA, Al-Dahmash, SA, Alejos, A, Alemany-Rubio, E, Bio, AIA, Carreras, YA, Al-Haddad, C, Al-Hussaini, HHY, Ali, AM, Alia, DB, Al-Jadiry, MF, Al-Jumaly, U, Alkatan, HM, All-Eriksson, C, Al-Mafrachi, AARM, Almeida, AA, Alsawidi, KM, Al-Shaheen, AASM, Al-Shammary, EH, Amiruddin, PO, Antonino, R, Astbury, NJ, Atalay, HT, Atchaneeyasakul, L-O, Atsiaya, R, Attaseth, T, Aung, TH, Ayala, S, Baizakova, B, Balaguer, J, Balayeva, R, Balwierz, W, Barranco, H, Bascaran, C, Popovic, MB, Benavides, R, Benmiloud, S, Guebessi, NB, Berete, RC, Berry, JL, Bhaduri, A, Bhat, S, Biddulph, SJ, Biewald, EM, Bobrova, N, Boehme, M, Boldt, HC, Bonanomi, MTBC, Bornfeld, N, Bouda, GC, Bouguila, H, Boumedane, A, Brennan, RC, Brichard, BG, Buaboonnam, J, Calderon-Sotelo, P, Calle Jara, DA, Camuglia, JE, Cano, MR, Capra, M, Cassoux, N, Castela, G, Castillo, L, Catala-Mora, J, Chantada, GL, Chaudhry, S, Chaugule, SS, Chauhan, A, Chawla, B, Chernodrinska, VS, Chiwanga, FS, Chuluunbat, T, Cieslik, K, Cockcroft, RL, Comsa, C, Correa, ZM, Correa Llano, MG, Corson, TW, Cowan-Lyn, KE, Csoka, M, Cui, X, Da Gama, I, Dangboon, W, Das, A, Das, S, Davanzo, JM, Davidson, A, De Potter, P, Delgado, KQ, Demirci, H, Desjardins, L, Diaz Coronado, RY, Dimaras, H, Dodgshun, AJ, Donaldson, C, Donato Macedo, CR, Dragomir, MD, Du, Y, Du Bruyn, M, Edison, KS, Sutyawan, IWE, El Kettani, A, Elbahi, AM, Elder, JE, Elgalaly, D, Elhaddad, AM, Elhassan, MMA, Elzembely, MM, Essuman, VA, Evina, TGA, Fadoo, Z, Fandino, AC, Faranoush, M, Fasina, O, Fernandez, DDPG, Fernandez-Teijeiro, A, Foster, A, Frenkel, S, Fu, LD, Fuentes-Alabi, SL, Gallie, BL, Gandiwa, M, Garcia, JL, Garcia Aldana, D, Gassant, PY, Geel, JA, Ghassemi, F, Giron, A, Gizachew, Z, Goenz, MA, Gold, AS, Goldberg-Lavid, M, Gole, GA, Gomel, N, Gonzalez, E, Gonzalez Perez, G, Gonzalez-Rodriguez, L, Garcia Pacheco, HN, Graells, J, Green, L, Gregersen, PA, Grigorovski, NDAK, Guedenon, KM, Gunasekera, DS, Gunduz, AK, Gupta, H, Gupta, S, Hadjistilianou, T, Hamel, P, Hamid, SA, Hamzah, N, Hansen, ED, Harbour, JW, Hartnett, ME, Hasanreisoglu, M, Hassan, S, Hederova, S, Hernandez, J, Carcamo Hernandez, LM, Hessissen, L, Hordofa, DF, Huang, LC, Hubbard, GB, Hummlen, M, Husakova, K, Al-Janabi, ANH, Ida, R, Ilic, VR, Jairaj, V, Jeeva, I, Jenkinson, H, Ji, X, Jo, DH, Johnson, KP, Johnson, WJ, Jones, MM, Kabesha, TBA, Kabore, RL, Kaliki, S, Kalinaki, A, Kantar, M, Kao, L-Y, Kardava, T, Kebudi, R, Kepak, T, Keren-Froim, N, Khan, ZJ, Khaqan, HA, Khauv, P, Kheir, WJ, Khetan, V, Khodabande, A, Khotenashvili, Z, Kim, JW, Kim, JH, Kiratli, H, Kivela, TT, Klett, A, Palet, JEKK, Krivaitiene, D, Kruger, M, Kulvichit, K, Kuntorini, MW, Kyara, A, Lachmann, ES, Lam, CPS, Lam, GC, Larson, SA, Latinovic, S, Laurenti, KD, Le, BHA, Lecuona, K, Leverant, AA, Li, C, Limbu, B, Quah, BL, Lopez, JP, Lukamba, RM, Lumbroso, L, Luna-Fineman, S, Lutfi, D, Lysytsia, L, Magrath, GN, Mahajan, A, Majeed, AR, Maka, E, Makan, M, Makimbetov, EK, Manda, C, Martin Begue, N, Mason, L, Mason, JO, Matende, IO, Materin, M, Mattosinho, CCDS, Matua, M, Mayet, I, Mbumba, FB, McKenzie, JD, Medina-Sanson, A, Mehrvar, A, Mengesha, AA, Menon, V, Mercado, GJVD, Mets, MB, Midena, E, Mishra, DKC, Mndeme, FG, Mohamedani, AA, Mohammad, MT, Moll, AC, Montero, MM, Morales, RA, Moreira, C, Mruthyunjaya, P, Msina, MS, Msukwa, G, Mudaliar, SS, Muma, K, Munier, FL, Murgoi, G, Murray, TG, Musa, KO, Mushtaq, A, Mustak, H, Muyen, OM, Naidu, G, Nair, AG, Naumenko, L, Roth, PAN, Nency, YM, Neroev, V, Ngo, H, Nieves, RM, Nikitovic, M, Nkanga, ED, Nkumbe, H, Nuruddin, M, Nyaywa, M, Obono-Obiang, G, Oguego, NC, Olechowski, A, Oliver, SCN, Osei-Bonsu, P, Ossandon, D, Paez-Escamilla, MA, Pagarra, H, Painter, SL, Paintsil, V, Paiva, L, Pal, BP, Palanivelu, MS, Papyan, R, Parrozzani, R, Parulekar, M, Morales, CRP, Paton, KE, Pawinska-Wasikowska, K, Pe'er, J, Pena, A, Peric, S, Pham, CTM, Philbert, R, Plager, DA, Pochop, P, Polania, RA, Polyakov, VG, Pompe, MT, Pons, JJ, Prat, D, Prom, V, Purwanto, I, Qadir, AO, Qayyum, S, Qian, J, Rahman, A, Rahman, S, Rahmat, J, Rajkarnikar, P, Ramanjulu, R, Ramasubramanian, A, Ramirez-Ortiz, MA, Raobela, L, Rashid, R, Reddy, MA, Reich, E, Renner, LA, Reynders, D, Ribadu, D, Riheia, MM, Ritter-Sovinz, P, Rojanaporn, D, Romero, L, Roy, SR, Saab, RH, Saakyan, S, Sabhan, AH, Sagoo, MS, Said, AMA, Saiju, R, Salas, B, San Roman Pacheco, S, Sanchez, GL, Sayalith, P, Scanlan, TA, Schefler, AC, Schoeman, J, Sedaghat, A, Seregard, S, Seth, R, Shah, AS, Shakoor, SA, Sharma, MK, Sherief, ST, Shetye, NG, Shields, CL, Siddiqui, SN, Cheikh, SS, Silva, S, Singh, AD, Singh, N, Singh, U, Singha, P, Sitorus, RS, Skalet, AH, Soebagjo, HD, Sorochynska, T, Ssali, G, Stacey, AW, Staffieri, SE, Stahl, ED, Stathopoulos, C, Kranjc, BS, Stones, DK, Strahlendorf, C, Suarez, MEC, Sultana, S, Sun, X, Sundy, M, Superstein, R, Supriyadi, E, Surukrattanaskul, S, Suzuki, S, Svojgr, K, Sylla, F, Tamamyan, G, Tan, D, Tandili, A, Tarrillo Leiva, FF, Tashvighi, M, Tateshi, B, Tehuteru, ES, Teixeira, LF, Teh, KH, Theophile, T, Toledano, H, Trang, DL, Traore, F, Trichaiyaporn, S, Tuncer, S, Tyau-Tyau, H, Umar, AB, Unal, E, Uner, OE, Urbak, SF, Ushakova, TL, Usmanov, RH, Valeina, S, Wijsard, MVH, Varadisai, A, Vasquez, L, Vaughan, LO, Veleva-Krasteva, NV, Verma, N, Victor, AA, Viksnins, M, Villacos Chafla, EG, Vishnevskia-Dai, V, Vora, T, Wachtel, AE, Wackernagel, W, Waddell, K, Wade, PD, Wali, AH, Wang, Y-Z, Weiss, A, Wilson, MW, Wime, ADC, Wiwatwongwana, A, Wiwatwongwana, D, Dod, CW, Wongwai, P, Xiang, D, Xiao, Y, Yam, JC, Yang, H, Yanga, JM, Yaqub, MA, Yarovaya, VA, Yarovoy, AA, Ye, H, Yousef, YA, Yuliawati, P, Zapata Lopez, AM, Zein, E, Zhang, C, Zhang, Y, Zhao, J, Zheng, X, Zhilyaeva, K, Zia, N, Ziko, OAO, Zondervan, M, Bowman, R, Fabian, ID, Abdallah, E, Abdullahi, SU, Abdulqader, RA, Boubacar, SA, Ademola-Popoola, DS, Adio, A, Afshar, AR, Aggarwal, P, Aghaji, AE, Ahmad, A, Akib, MNR, Al Harby, L, Al Ani, MH, Alakbarova, A, Portabella, SA, Al-Badri, SAF, Alcasabas, APA, Al-Dahmash, SA, Alejos, A, Alemany-Rubio, E, Bio, AIA, Carreras, YA, Al-Haddad, C, Al-Hussaini, HHY, Ali, AM, Alia, DB, Al-Jadiry, MF, Al-Jumaly, U, Alkatan, HM, All-Eriksson, C, Al-Mafrachi, AARM, Almeida, AA, Alsawidi, KM, Al-Shaheen, AASM, Al-Shammary, EH, Amiruddin, PO, Antonino, R, Astbury, NJ, Atalay, HT, Atchaneeyasakul, L-O, Atsiaya, R, Attaseth, T, Aung, TH, Ayala, S, Baizakova, B, Balaguer, J, Balayeva, R, Balwierz, W, Barranco, H, Bascaran, C, Popovic, MB, Benavides, R, Benmiloud, S, Guebessi, NB, Berete, RC, Berry, JL, Bhaduri, A, Bhat, S, Biddulph, SJ, Biewald, EM, Bobrova, N, Boehme, M, Boldt, HC, Bonanomi, MTBC, Bornfeld, N, Bouda, GC, Bouguila, H, Boumedane, A, Brennan, RC, Brichard, BG, Buaboonnam, J, Calderon-Sotelo, P, Calle Jara, DA, Camuglia, JE, Cano, MR, Capra, M, Cassoux, N, Castela, G, Castillo, L, Catala-Mora, J, Chantada, GL, Chaudhry, S, Chaugule, SS, Chauhan, A, Chawla, B, Chernodrinska, VS, Chiwanga, FS, Chuluunbat, T, Cieslik, K, Cockcroft, RL, Comsa, C, Correa, ZM, Correa Llano, MG, Corson, TW, Cowan-Lyn, KE, Csoka, M, Cui, X, Da Gama, I, Dangboon, W, Das, A, Das, S, Davanzo, JM, Davidson, A, De Potter, P, Delgado, KQ, Demirci, H, Desjardins, L, Diaz Coronado, RY, Dimaras, H, Dodgshun, AJ, Donaldson, C, Donato Macedo, CR, Dragomir, MD, Du, Y, Du Bruyn, M, Edison, KS, Sutyawan, IWE, El Kettani, A, Elbahi, AM, Elder, JE, Elgalaly, D, Elhaddad, AM, Elhassan, MMA, Elzembely, MM, Essuman, VA, Evina, TGA, Fadoo, Z, Fandino, AC, Faranoush, M, Fasina, O, Fernandez, DDPG, Fernandez-Teijeiro, A, Foster, A, Frenkel, S, Fu, LD, Fuentes-Alabi, SL, Gallie, BL, Gandiwa, M, Garcia, JL, Garcia Aldana, D, Gassant, PY, Geel, JA, Ghassemi, F, Giron, A, Gizachew, Z, Goenz, MA, Gold, AS, Goldberg-Lavid, M, Gole, GA, Gomel, N, Gonzalez, E, Gonzalez Perez, G, Gonzalez-Rodriguez, L, Garcia Pacheco, HN, Graells, J, Green, L, Gregersen, PA, Grigorovski, NDAK, Guedenon, KM, Gunasekera, DS, Gunduz, AK, Gupta, H, Gupta, S, Hadjistilianou, T, Hamel, P, Hamid, SA, Hamzah, N, Hansen, ED, Harbour, JW, Hartnett, ME, Hasanreisoglu, M, Hassan, S, Hederova, S, Hernandez, J, Carcamo Hernandez, LM, Hessissen, L, Hordofa, DF, Huang, LC, Hubbard, GB, Hummlen, M, Husakova, K, Al-Janabi, ANH, Ida, R, Ilic, VR, Jairaj, V, Jeeva, I, Jenkinson, H, Ji, X, Jo, DH, Johnson, KP, Johnson, WJ, Jones, MM, Kabesha, TBA, Kabore, RL, Kaliki, S, Kalinaki, A, Kantar, M, Kao, L-Y, Kardava, T, Kebudi, R, Kepak, T, Keren-Froim, N, Khan, ZJ, Khaqan, HA, Khauv, P, Kheir, WJ, Khetan, V, Khodabande, A, Khotenashvili, Z, Kim, JW, Kim, JH, Kiratli, H, Kivela, TT, Klett, A, Palet, JEKK, Krivaitiene, D, Kruger, M, Kulvichit, K, Kuntorini, MW, Kyara, A, Lachmann, ES, Lam, CPS, Lam, GC, Larson, SA, Latinovic, S, Laurenti, KD, Le, BHA, Lecuona, K, Leverant, AA, Li, C, Limbu, B, Quah, BL, Lopez, JP, Lukamba, RM, Lumbroso, L, Luna-Fineman, S, Lutfi, D, Lysytsia, L, Magrath, GN, Mahajan, A, Majeed, AR, Maka, E, Makan, M, Makimbetov, EK, Manda, C, Martin Begue, N, Mason, L, Mason, JO, Matende, IO, Materin, M, Mattosinho, CCDS, Matua, M, Mayet, I, Mbumba, FB, McKenzie, JD, Medina-Sanson, A, Mehrvar, A, Mengesha, AA, Menon, V, Mercado, GJVD, Mets, MB, Midena, E, Mishra, DKC, Mndeme, FG, Mohamedani, AA, Mohammad, MT, Moll, AC, Montero, MM, Morales, RA, Moreira, C, Mruthyunjaya, P, Msina, MS, Msukwa, G, Mudaliar, SS, Muma, K, Munier, FL, Murgoi, G, Murray, TG, Musa, KO, Mushtaq, A, Mustak, H, Muyen, OM, Naidu, G, Nair, AG, Naumenko, L, Roth, PAN, Nency, YM, Neroev, V, Ngo, H, Nieves, RM, Nikitovic, M, Nkanga, ED, Nkumbe, H, Nuruddin, M, Nyaywa, M, Obono-Obiang, G, Oguego, NC, Olechowski, A, Oliver, SCN, Osei-Bonsu, P, Ossandon, D, Paez-Escamilla, MA, Pagarra, H, Painter, SL, Paintsil, V, Paiva, L, Pal, BP, Palanivelu, MS, Papyan, R, Parrozzani, R, Parulekar, M, Morales, CRP, Paton, KE, Pawinska-Wasikowska, K, Pe'er, J, Pena, A, Peric, S, Pham, CTM, Philbert, R, Plager, DA, Pochop, P, Polania, RA, Polyakov, VG, Pompe, MT, Pons, JJ, Prat, D, Prom, V, Purwanto, I, Qadir, AO, Qayyum, S, Qian, J, Rahman, A, Rahman, S, Rahmat, J, Rajkarnikar, P, Ramanjulu, R, Ramasubramanian, A, Ramirez-Ortiz, MA, Raobela, L, Rashid, R, Reddy, MA, Reich, E, Renner, LA, Reynders, D, Ribadu, D, Riheia, MM, Ritter-Sovinz, P, Rojanaporn, D, Romero, L, Roy, SR, Saab, RH, Saakyan, S, Sabhan, AH, Sagoo, MS, Said, AMA, Saiju, R, Salas, B, San Roman Pacheco, S, Sanchez, GL, Sayalith, P, Scanlan, TA, Schefler, AC, Schoeman, J, Sedaghat, A, Seregard, S, Seth, R, Shah, AS, Shakoor, SA, Sharma, MK, Sherief, ST, Shetye, NG, Shields, CL, Siddiqui, SN, Cheikh, SS, Silva, S, Singh, AD, Singh, N, Singh, U, Singha, P, Sitorus, RS, Skalet, AH, Soebagjo, HD, Sorochynska, T, Ssali, G, Stacey, AW, Staffieri, SE, Stahl, ED, Stathopoulos, C, Kranjc, BS, Stones, DK, Strahlendorf, C, Suarez, MEC, Sultana, S, Sun, X, Sundy, M, Superstein, R, Supriyadi, E, Surukrattanaskul, S, Suzuki, S, Svojgr, K, Sylla, F, Tamamyan, G, Tan, D, Tandili, A, Tarrillo Leiva, FF, Tashvighi, M, Tateshi, B, Tehuteru, ES, Teixeira, LF, Teh, KH, Theophile, T, Toledano, H, Trang, DL, Traore, F, Trichaiyaporn, S, Tuncer, S, Tyau-Tyau, H, Umar, AB, Unal, E, Uner, OE, Urbak, SF, Ushakova, TL, Usmanov, RH, Valeina, S, Wijsard, MVH, Varadisai, A, Vasquez, L, Vaughan, LO, Veleva-Krasteva, NV, Verma, N, Victor, AA, Viksnins, M, Villacos Chafla, EG, Vishnevskia-Dai, V, Vora, T, Wachtel, AE, Wackernagel, W, Waddell, K, Wade, PD, Wali, AH, Wang, Y-Z, Weiss, A, Wilson, MW, Wime, ADC, Wiwatwongwana, A, Wiwatwongwana, D, Dod, CW, Wongwai, P, Xiang, D, Xiao, Y, Yam, JC, Yang, H, Yanga, JM, Yaqub, MA, Yarovaya, VA, Yarovoy, AA, Ye, H, Yousef, YA, Yuliawati, P, Zapata Lopez, AM, Zein, E, Zhang, C, Zhang, Y, Zhao, J, Zheng, X, Zhilyaeva, K, Zia, N, Ziko, OAO, Zondervan, M, and Bowman, R

Abstract

IMPORTANCE: Early diagnosis of retinoblastoma, the most common intraocular cancer, can save both a child's life and vision. However, anecdotal evidence suggests that many children across the world are diagnosed late. To our knowledge, the clinical presentation of retinoblastoma has never been assessed on a global scale. OBJECTIVES: To report the retinoblastoma stage at diagnosis in patients across the world during a single year, to investigate associations between clinical variables and national income level, and to investigate risk factors for advanced disease at diagnosis. DESIGN, SETTING, AND PARTICIPANTS: A total of 278 retinoblastoma treatment centers were recruited from June 2017 through December 2018 to participate in a cross-sectional analysis of treatment-naive patients with retinoblastoma who were diagnosed in 2017. MAIN OUTCOMES AND MEASURES: Age at presentation, proportion of familial history of retinoblastoma, and tumor stage and metastasis. RESULTS: The cohort included 4351 new patients from 153 countries; the median age at diagnosis was 30.5 (interquartile range, 18.3-45.9) months, and 1976 patients (45.4%) were female. Most patients (n = 3685 [84.7%]) were from low- and middle-income countries (LMICs). Globally, the most common indication for referral was leukocoria (n = 2638 [62.8%]), followed by strabismus (n = 429 [10.2%]) and proptosis (n = 309 [7.4%]). Patients from high-income countries (HICs) were diagnosed at a median age of 14.1 months, with 656 of 666 (98.5%) patients having intraocular retinoblastoma and 2 (0.3%) having metastasis. Patients from low-income countries were diagnosed at a median age of 30.5 months, with 256 of 521 (49.1%) having extraocular retinoblastoma and 94 of 498 (18.9%) having metastasis. Lower national income level was associated with older presentation age, higher proportion of locally advanced disease and distant metastasis, and smaller proportion of familial history of retinoblastoma. Advanced disease at diagnosis

Published
2020

20. Is 6 months of bedaquiline enough? Results from the compassionate use of bedaquiline in Armenia and Georgia

Author

Yegiazaryan L, Naira Khachatryan, Helena Huerga, Atshemyan H, Mathieu Bastard, Chumburidze N, N. Kiria, Armen Hayrapetyan, Zaza Avaliani, Tinatin Kotrikadze, Francis Varaine, Kirakosyan O, Cathy Hewison, N Lachenal, and Qayyum S

Subjects
Adult, Compassionate Use Trials, Male, Pulmonary and Respiratory Medicine, medicine.medical_specialty, Georgia, Tuberculosis, Antitubercular Agents, Logistic regression, Cohort Studies, 03 medical and health sciences, chemistry.chemical_compound, 0302 clinical medicine, Risk Factors, Internal medicine, Tuberculosis, Multidrug-Resistant, medicine, Culture conversion, Humans, 030212 general & internal medicine, Diarylquinolines, Adverse effect, Retrospective Studies, Coinfection, business.industry, Compassionate Use, Armenia, Middle Aged, medicine.disease, Hepatitis C, Logistic Models, Treatment Outcome, Infectious Diseases, 030228 respiratory system, chemistry, Cohort, Female, Bedaquiline, business, Fluoroquinolones, Follow-Up Studies
Abstract

BACKGROUND AND SETTING Bedaquiline (BDQ) was initially only available through compassionate use programmes. OBJECTIVE To assess the effectiveness and safety of multidrug-resistant tuberculosis (MDR-TB) treatment containing BDQ. METHOD Retrospective analysis of data from patients receiving BDQ through compassionate use in Armenia and Georgia from April 2013 to April 2015. Logistic regression was used to assess the risk factors associated with unsuccessful treatment outcomes. RESULTS Of 82 patients included, 84.2% (69/82) had fluoroquinolone-resistant MDR-TB and 43.4% (23/53) were seropositive for the hepatitis C virus (HCV). The culture conversion rate was 84.4% (54/64), and 18.5% (10/54) reverted back to positive. In total, 79.3% (65/82) of the patients reported at least one adverse event. Serious adverse events were reported in 14 patients, with 10/14 patients experiencing fatal outcomes-6/10 related to advanced TB and 2/10 assessed as possibly related to BDQ. Treatment outcomes were as follows: 58.5% treatment success, 12.2% deaths, 7.3% failures and 21.9% lost to follow-up. HCV coinfection was associated with unsuccessful outcomes (adjusted OR 4.45, 95%CI 1.23-16.13). CONCLUSION BDQ through compassionate use showed relatively good success rates and safety profiles in a cohort with difficult-to-treat MDR-TB. High rates of reversion may indicate that >24 weeks of BDQ is necessary in some cases. HCV coinfection should be diagnosed and treatment considered in MDR-TB patients.

Published
2018
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22. 248 CYP11A1-derived hydroxy-lumisterols act as agonists of LXRα and β

Author

Qayyum, S., primary, Kim, T., additional, Slominski, R.M., additional, Janjetovic, Z., additional, Song, Y., additional, Oak, A., additional, Raman, C., additional, Guroji, P., additional, Bilokin, Y., additional, Jetten, A., additional, Tang, E.K.Y., additional, Tuckey, R., additional, and Slominski, A.T., additional

Published
2020
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25. Pattern of first- and second-line drug resistance among pulmonary tuberculosis retreatment cases in Pakistan

Author

Z H Iqbal, Abdul Ghafoor, Khan Ar, Arshad Javaid, Rumina Hasan, Chaudry Ma, Choudry K, Nadeem Rizvi, Ejaz Qadeer, Awan, Afridi Mz, Saulat Ullah Khan, Akhtar S, Zubair Shaheen, Chima Mk, Qayyum S, Afia Zafar, Nafees Ahmad, Ansarie M, and Agha N

Subjects
Adult, Male, 0301 basic medicine, Pulmonary and Respiratory Medicine, Drug, Ofloxacin, medicine.medical_specialty, Tuberculosis, Adolescent, Extensively Drug-Resistant Tuberculosis, media_common.quotation_subject, 030106 microbiology, Population, Antitubercular Agents, Microbial Sensitivity Tests, Drug resistance, Mycobacterium tuberculosis, Second line drug, Young Adult, 03 medical and health sciences, 0302 clinical medicine, Pulmonary tuberculosis, Internal medicine, Tuberculosis, Multidrug-Resistant, Prevalence, medicine, Humans, Pakistan, 030212 general & internal medicine, education, Tuberculosis, Pulmonary, media_common, education.field_of_study, biology, business.industry, biology.organism_classification, medicine.disease, Cross-Sectional Studies, Infectious Diseases, Retreatment, Female, business, medicine.drug
Abstract

BACKGROUND Drug resistance in general, and multidrug-resistant tuberculosis (MDR-TB) in particular, threatens global tuberculosis (TB) control efforts. Population-based estimates of drug resistance are needed to develop strategies for controlling drug-resistant TB in Pakistan. OBJECTIVE To obtain population-based data on Mycobacterium tuberculosis drug resistance in Pakistan. METHODS To obtain drug resistance data, we conducted a population-based study of TB cases in all provinces of Pakistan. We performed culture and drug susceptibility testing on M. tuberculosis isolates from patients with a prior history of anti-tuberculosis treatment (retreatment cases) from all over the country. RESULTS Of 544 isolates from previously treated cases, 289 (53.1%) were susceptible to all first-line drugs, 255 (46.9%) were resistant to at least one anti-tuberculosis drug and 132 (24.3%) were MDR-TB. Among MDR-TB isolates, 47.0% were ofloxacin (OFX) resistant. Extensively drug-resistant TB was found in two (0.4%) isolates. CONCLUSION Prevalence of drug resistance in retreatment isolates was high. The alarmingly high prevalence of OFX resistance among MDR-TB isolates may threaten the success of efforts to control and treat MDR-TB.

Published
2017
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28. MOLECULAR AND BIOCHEMICAL CHARACTERIZATION OF ECHINOCOCCUS SPP. IN HYDATID CYST FLUID COLLECTED FROM HUMAN AND LIVESTOCK IN NORTHERN KHYBER PAKHTUNKHWA AND GILGIT BALTISTAN.

Author

Abdullah, M., Ali, I., Haleem, K. S., Rehman, A. U., Qayyum, S., Niaz, Z., Ahmed, S., Khan, I., Khattak, M. N. K., Sultana, N., and Tauseef, I.

Subjects
ECHINOCOCCUS granulosus, ECHINOCOCCOSIS, ECHINOCOCCUS, ECHINOCOCCUS multilocularis, TUKEY'S test, LIVESTOCK productivity
Abstract

The Echinoccocus spp. infection results in cystic or alveolar echinococcosis causing billions of dollars loss to the international economy in respect of expensive medical treatments, permanent loss of entire or part of organ, and a substantial decrease in livestock productivity. Therefore, the study was designed with objectives to know existence of the species, their genotypes and biochemical profile of hydatid cyst fluids of Echinococci in the samples collected from northern Khyber Pakhtunkhwa and Gilgit Baltistan. Cyst samples (n = 46) were collected from two different sources i.e. livestock and human (n=34 and n=12, respectively). PCR-RFLP based analysis was used to investigate the mitochondrial gene (rrnL, large subunit of ribosomal RNA) based species detection and genotyping. Biochemical assay of all hydatid cyst fluid was performed to analyze the concentration of various parameters i.e. uric acid, glucose and triglyceride etc. One-way ANOVA followed by Tukey's post-hoc test was also performed to determine the statistically significant differences among the biochemical parameters. Among all collected cysts, 56.5% (n=26) were positive for Echinococcus granulosus while 43.4% (n=20) were detected as Echinococcus multilocularis. Genotyping of the positive E. granulosus revealed the highest frequency (>90%) of G1-3 genotype while G6 genotype was found at low level (<10%). In case of human, all samples were positive for G1-3 genotype. Biochemical analysis of cyst fluids showed a significant (P = 0.05) interspecies variation in all tested parameters. In conclusion, E. granulosus and E. multilocularis are found frequently in northern KP and Gilgit Baltistan. Further, E. granulosus sensu stricto (G1-3) and G6 genotypes are responsible for infections in both human and animals. A comprehensive surveillance program in whole northern Pakistan is needed for effective prevention/control of Echinococcus species. [ABSTRACT FROM AUTHOR]

Published
2021
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31. Is 6 months of bedaquiline enough? Results from the compassionate use of bedaquiline in Armenia and Georgia

Author

Hewison, C., primary, Bastard, M., additional, Khachatryan, N., additional, Kotrikadze, T., additional, Hayrapetyan, A., additional, Avaliani, Z., additional, Kiria, N., additional, Yegiazaryan, L., additional, Chumburidze, N., additional, Kirakosyan, O., additional, Atshemyan, H., additional, Qayyum, S., additional, Lachenal, N., additional, Varaine, F., additional, and Huerga, H., additional

Published
2018
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33. Pattern of first- and second-line drug resistance among pulmonary tuberculosis retreatment cases in Pakistan

Author

Javaid, A., primary, Hasan, R., additional, Zafar, A., additional, Chaudry, M. A., additional, Qayyum, S., additional, Qadeer, E., additional, Shaheen, Z., additional, Agha, N., additional, Rizvi, N., additional, Afridi, M. Z., additional, Chima, M. K., additional, Khan, A. R., additional, Ghafoor, A., additional, Khan, S., additional, Awan, S. R., additional, Akhtar, S., additional, Choudry, K., additional, Iqbal, Z. H., additional, Ansarie, M., additional, and Ahmad, N., additional

Published
2017
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34. Active contact investigation and treatment support: an integrated approach in rural and urban Sindh, Pakistan

Author

Baig S, Abro R, Jacob Creswell, Shah Sa, and Qayyum S

Subjects
Pulmonary and Respiratory Medicine, Adult, Male, Health Knowledge, Attitudes, Practice, Tuberculosis, Adolescent, Health Personnel, Reminder Systems, Population, Antitubercular Agents, Nutritional Status, Medication Adherence, Young Adult, Environmental health, Active tb, medicine, Urban Health Services, Humans, Pakistan, Prospective Studies, education, Child, Tuberculosis, Pulmonary, Contact Investigation, Aged, High rate, education.field_of_study, Text Messaging, business.industry, Delivery of Health Care, Integrated, Infant, Newborn, Sputum, Infant, Mycobacterium tuberculosis, Integrated approach, Middle Aged, medicine.disease, Infectious Diseases, Treatment Outcome, Food, Child, Preschool, Female, Rural Health Services, Rural area, medicine.symptom, Contact Tracing, business
Abstract

BACKGROUND Although household contacts of persons with tuberculosis (TB) have high rates of active TB, contact investigations are often not conducted. We present the results from a large-scale active contact investigation combined with treatment support in Sindh, Pakistan. METHODS Trained lay workers visited consenting smear-positive index patient homes in seven urban and 15 rural facilities. People with suspected TB were provided free transport to diagnostic centres, and sputum samples were collected for microscopy. Those diagnosed with smear-positive TB were given food baskets and sent text reminders to promote adherence. RESULTS From 3037 index cases, 19,191 household contacts were screened for TB symptoms and 3478 (18.1%) symptomatic persons were identified. Of these, 2160 (62.1%) produced sputum samples on the spot for testing and 490 (22.7%) had smear-positive results. TB prevalence in urban households was 1504 per 100,000 population compared to 4044/100,000 in rural households (P < 0.001) and 2553/100,000 overall. Treatment success was high, with 80.4% cured and 17.6% completing treatment. DISCUSSION Lay workers given basic training can conduct active contact investigations and provide treatment support to improve case detection and treatment outcomes in urban and rural areas of Pakistan. In areas with high levels of undiagnosed TB, particularly in rural areas, contact investigation should be prioritised as a means of improving case detection and early diagnosis.

Published
2013

41. Localization of a locus for Charcot-Marie-Tooth neuropathy type la (CMT1A) to chromosome 17

Author

McAlpine, P.J., primary, Feasby, T.E., additional, Hahn, A.F., additional, Komarnicki, L., additional, James, S., additional, Guy, C., additional, Dixon, M., additional, Qayyum, S., additional, Wright, J., additional, Coopland, G., additional, Lewis, M., additional, Kaita, H., additional, Philipps, S., additional, Wong, P., additional, Koopman, W., additional, Cox, D.W., additional, and Yee, W.C., additional

Published
1990
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42. Synthesis and characterization of silver and gold nano-structures on chitosan-porous anodic alumina nano-composite

Author

Qayyum, S., Mazhar Mehmood, Mirza, M. A., Ashraf, S., Ahmed, Z., Tanvir, T., Choudhary, M. A., Iqbal, M., Nisar, F., and Nisa, Z. U.

Subjects
lcsh:Chemistry, lcsh:QD1-999, di-step aluminum anodization, lcsh:TP155-156, nano-composite, gold and silver nano-structures, chitosan, lcsh:Chemical engineering, porous anodic alumina
Abstract

This study was designed to probe the fabrication of unique silver and gold nano-structures engaging a self-designed chitosan-porous anodic alumina nano-composite as a template. Porous anodic alumina has been manufactured by di-step aluminum anodization in an oxalic acid electrolytic bath. The surface properties of porous anodic alumina were reinforced by chitosan neutralized in sodium hydroxide. Multifarious nano-morphologies of silver, as well as gold nanostructures, were observed. Furthermore, the long chitosan biopolymer chains were degraded by γ-irradiations and the same procedure was employed for modification of porous anodic alumina with γ-degraded chitosan. The morphologies of fabricated silver and gold nanostructures were investigated by scanning electron microscopy, while their composition was evaluated with the help of energy-dispersive X-ray spectroscopy. X-ray diffraction study exposed the face-centered cubic phase for both silver and gold nanostructures. Reflection mode UV-Vis spectroscopy was used to ascertain reflection grooves in the absorption range of silver and gold nanostructures respectively. The technique does not involve any harmful reagent and shows different selectivity than methods in general practice. The achieved results apprised that the fabricated nanostructures offer the advantages of biocompatibility and eco-friendliness for numerous biomedical uses.

47. Graphene nanosheets decorated with heterostructured ruthenium sulfide as catalyst for enhanced hydrogen evolution reaction.

Author

Naseeb W, Khosa MK, Noor A, Qayyum S, and Chen S

Subjects
Catalysis, Nanostructures chemistry, Sulfides chemistry, Nanocomposites chemistry, Graphite chemistry, Hydrogen chemistry, Ruthenium chemistry
Abstract

In present findings, a simple pyrolysis technique was applied to decorate S and N doped graphene with RuS2-CoO nanoparticles synthesizing a heterostructured nanocomposite RuS2-CoO@SNG. XPS results demonstrate the elemental composition of these nanomaterials with the hint of metal-metal charge transfer phenomenon likely due to heterostructure composition. These modifications led to a significant active surface area resulting in elevated electrocatalytic performance. In comparison to benchmark Pt/C at -60 mV in 1 M KOH, hydrogen evolution reaction (HER) reached at current density around 10 mA cm-2 at -90 mV overpotential. The stability test displayed excellent results with a decrease of 2 mV in overpotential at current density of 10 mA cm-2. Results indicate that such heterostructured nanocomposites can be used as an effective catalyst for HER., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Naseeb et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Published
2024
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48. Comparison of corneal endothelial cell morphology in type-2 diabetes and nondiabetics.

Author

Firdous M, Ullah S, Shah M, Qayyum S, Ansari MH, and Aziz A

Abstract

Background: The purpose of this study was to evaluate and compare the values of hexagonality of endothelial cells among type-2 diabetics and nondiabetics. It also aimed at finding the correlation of the hexagonality of endothelial cells with the duration of diabetes, random blood sugar level, and severity of diabetic retinopathy in type-2 diabetics., Materials and Methods: A comparative cross-sectional study was conducted for 8 months from January to August 2022. The data was collected from tertiary care eye hospital named Al-Shifa Trust Eye hospital jhelum road, Rawalpindi, Pakistan. After taking the informed consent, a complete history of each subject was taken. Visual acuity and refraction were performed using Early Treatment Diabetic Retinopathy Study visual acuity chart and then, complete slit-lamp anterior and posterior segment examination was performed followed by specular microscopy (TOMEY Specular Microscope EM-4000) to evaluate endothelial cell hexagonality. The diabetic subjects were checked for their random blood sugar levels immediately after specular microscopy using a digital glucometer and the readings were recorded., Results: Results showed that the hexagonality of endothelial cells was statistically significantly lower ( P = 0.000) in type-2 diabetics than in nondiabetics. Correlation analysis of the hexagonality of endothelial cells showed a negative correlation ( P < 0.05) with random blood sugar levels while no correlation ( P > 0.05) with the duration of diabetes and severity of diabetic retinopathy., Conclusion: The study concluded that the hexagonality of endothelial cells was significantly different among the two groups under study, i.e., type-2 diabetics and nondiabetics., Competing Interests: There are no conflicts of interest., (Copyright: © 2024 Oman Ophthalmic Society.)

Published
2024
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49. Rectal Adenocarcinoma With Pagetoid Spread: A Novel Entity.

Author

Bathobakae L, Shenasan P, Trivedi A, Yuridullah R, Qayyum S, and El-Sedfy A

Abstract

Perianal Paget's disease (PPD) is a rare skin adenocarcinoma that arises in the apocrine glands of the perianal region. It is often misdiagnosed as eczema, leukoplakia, squamous cell carcinoma, Bowen's disease, lichen planus, or condylomata acuminata. We report a case of a 63-year-old male who presented to the emergency room (ER) for evaluation of an anal mass that had persisted over 6 months. The patient was found to have a rectal adenocarcinoma with pagetoid spread and underwent neoadjuvant chemoradiation with symptom improvement. However, the patient declined further chemotherapy and the planned abdominal perineal resection with reconstruction, as it would require a permanent colostomy., Competing Interests: The authors declare no conflicts of interest., (Copyright © 2024 Lefika Bathobakae et al.)

Published
2024
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50. A novel motif in calcimembrin/C16orf74 dictates multimeric dephosphorylation by calcineurin.

Author

Bradburn DA, Reis JC, Qayyum S, Viennet T, Arthanari H, and Cyert MS

Abstract

Calcineurin (CN), the only Ca2+/calmodulin-activated protein phosphatase and target of immunosuppressant drugs, dephosphorylates substrates within membrane-associated Ca2+ microdomains. CN binds to substrates and regulators via short linear motifs (SLIMs), PxIxIT and LxVP, which have distinct docking sites on CN. PxIxIT binding to CN is Ca2+-independent and affects its distribution, while LxVP associates only with the active enzyme and promotes catalysis. 31 human proteins contain one or more composite LxVPxIxIT motifs, whose functional properties have not been examined. Here we study calcimembrin/C16orf74 (CLMB), a largely uncharacterized intrinsically disordered protein that contains a composite motif which binds to and directs CN to membranes. CLMB overexpression is associated with poor prognoses for several cancers, suggesting that it promotes oncogenesis by shaping CN signaling. We demonstrate that CLMB associates with membranes via N-myristoylation and dynamic S-acylation and is dephosphorylated by CN on threonine 44 (Thr44). The LxVP and PxIxIT portions of the CLMB composite sequence, together with Thr44 phosphorylation, confer high affinity PxIxIT-mediated binding to CN (KD~8.3 nM) via an extended 33LxVPxIxITxx(p)T44 sequence. This binding promotes CLMB-based targeting of CN to membranes, but also protects Thr44 from dephosphorylation. Thus, we propose that CLMB promotes dephosphorylation in multimeric complexes, where one CLMB molecule recruits CN to membranes via PxIxIT binding, allowing other proteins (including CLMB) to engage through their LxVP motifs for dephosphorylation. This unique mechanism makes dephosphorylation sensitive to CLMB:CN ratios and is supported by in vivo and in vitro data including nuclear magnetic resonance (NMR) analyses of CLMB alone and complexed with CN.

Published
2024
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