41 research outputs found
Establishment of a model for equine small intestinal disease: effects of extracorporeal blood perfusion of equine ileum on metabolic variables and histological morphology – an experimental ex vivo study
- Author
- A Dragu
- A Martens
- AS Muñoz-Abraham
- B Patan
- B Patan-Zugaj
- B Patan-Zugaj
- B Schröppel
- BC McGorum
- Bruce C. McGorum
- C Fintl
- C Oyet
- CR Daniel
- DE Freeman
- DL Doxey
- DM Pogson
- Elspeth M. Milne
- F-U Sack
- FC Gauff
- FC Gauff
- JF Rehfeld
- JJ Holst
- K Corley
- K Hopster
- L Hansen
- L Hansen
- LA Ross
- M McMichael
- MA Constantinescu
- Maria S. Unterköfler
- MMR Polyak
- NJ Vatistas
- O Heimbürger
- P Stringa
- Q Xuan
- RL Hamilton
- RM Dabareiner
- T Messell
- Theresia F. Licka
- W Muir
- ZM Lisowski
- Publication venue
- 'Springer Science and Business Media LLC'
- Publication date
- 08/11/2019
- Field of study
Diabetes mellitus in dogs attending UK primary-care practices: frequency, risk factors and survival
- Author
- A Volaco
- AG Pöppl
- AJ Kaplan
- AM Tardo
- B Catchpole
- B Catchpole
- BM Bostrom
- C Beam
- C Gilor
- C Gilor
- D Aja
- DD Miceli
- DIAMOND Project Group
- DL Doxey
- DZ Hume
- E Behrend
- EJ Miller
- F Fracassi
- H Klinkenberg
- I Dohoo
- JE Eigenmann
- JGM Markle
- K Pápa
- KJ Jager
- KL Campbell
- KR Verkest
- L Guptill
- L Laffel
- LJ Davison
- LJ Davison
- LJ Davison
- M Hoenig
- M Marmor
- MJ Mattin
- PC Bartlett
- PJ Watson
- RS Hess
- RW Nelson
- RW Nelson
- S Usui
- SL Blois
- SM Haffner
- T Fall
- T Fall
- TP Bellumori
- Publication venue
- 'Springer Science and Business Media LLC'
- Publication date
- 01/06/2020
- Field of study
Background: Diabetes mellitus (DM) is an important endocrine disorder of dogs. The objectives of this study were to estimate prevalence and incidence of DM in dogs, and to explore risk factors for DM and the survival of DM cases in primary-care clinics in the UK.
Results: A case-control study nested in the cohort of dogs (n = 480,469) aged ≥3 years presenting at 430 VetCompass clinics was used to identify risk factors for DM, using multivariable logistic regression. Overall 409 new and 863 pre-existing DM cases (total 1272) were identified in 2016, giving an apparent annual prevalence of 0.26% (95% confidence interval (CI): 0.25–0.28%), and an annual incidence risk of 0.09% (95%CI: 0.08–0.09%) in dogs aged ≥3 years. Factors associated with increased odds for DM diagnosis were all age categories > 8 years, female entire dogs (odds ratio (OR): 3.03, 95% CI 1.69–5.44, p < 0.001) and male neutered dogs (OR: 1.99, 95% CI 1.18–3.34, p = 0.010) compared to male entire dogs, Border Terriers (OR: 3.37, 95% CI 1.04–10.98, p = 0.043) and West Highland White Terriers (WHWT) (OR: 2.88, 95% CI 1.49–5.56, p = 0.002) compared to crossbreeds. Dogs that had received previous glucocorticoid treatment (OR: 2.19, 95% CI 1.02–4.70, p = 0.044) and those with concurrent conditions (documented obese, pancreatitis, hyperadrenocorticism) also had increased odds for DM diagnosis.
Cox regression modelling was used to evaluate factors associated with survival in the 409 incident DM cases in 2016. Increased hazard of death following diagnosis of DM was shown in dogs that were ≥ 10 years age, Cocker Spaniels (HR: 2.06, 95% CI 1.06–4.01, p = 0.034) compared to crossbreeds, had a blood glucose (BG) level at
diagnosis > 40 mmol/L (HR: 2.73, 95% CI 1.35–5.55, p = 0.005) compared to < 20 mmol/L at diagnosis, or had received previous glucocorticoid treatment (HR: 1.86, 95% CI 1.21–2.86, p = 0.005). Dogs at reduced hazard of death included neutered dogs (HR: 0.58, 95% CI 0.42–0.79, p = 0.001), Border Collies (HR: 0.39, 95% CI 0.17–0.87, p = 0.022) and those starting insulin treatment (HR: 0.08 95% CI 0.05–0.12, p < 0.001). Conclusions: Certain breeds and concurrent health conditions are associated with an increased risk of DM. In addition to certain signalment factors, a high BG level at diagnosis and prior glucocorticoid treatment were adversely associated with survival of dogs with DM.
Keywords: Diabetes mellitus, Risk factors, Survival, Case-control study, Benchmarking, VetCompas
Effect of Hochuekkito on Alveolar Macrophage Inflammatory Responses in Hyperglycemic Mice
- Author
- A Chino
- A Kuroiwa
- AA Sima
- BN Lambrecht
- DL Doxey
- ET Fuse
- GE Ranges
- H Amano
- H Koziel
- H Yamasawa
- Hideaki Yamasawa
- I Sugawara
- J-M Cho
- JB Kornum
- JC O’Connor
- K Oshikawa
- M Harada
- M Utsuyama
- Manabu Soda
- Masashi Bando
- Masayuki Nakayama
- MK Mohammad
- MP Morran
- N Chaudhuri
- N Mato
- N Sato
- Naoko Mato
- PH Lapchak
- R Chen
- R Tamura
- S Cho
- SN Zykova
- Tatsuya Hosono
- TR Hawn
- V Mohsenin
- W Ptak
- Y Lin
- Y Mita
- Yukihiko Sugiyama
- Publication venue
- 'Springer Science and Business Media LLC'
- Publication date
- Field of study
Global burden of 369 diseases and injuries in 204 countries and territories, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019
- Author
- Abbafati C
- Abbas KM
- Abbasi M
- Abbasi-Kangevari M
- Abbasifard M
- Abbastabar H
- Abd El Razek HM
- Abd El Razek MM
- Abd-Allah F
- Abdelalim A
- Abdollahi M
- Abdollahpour I
- Abdulkader RS
- Abdullah KH
- Abedi A
- Abedi P
- Abegaz KH
- Abolhassani H
- Abosetugn AE
- Aboyans V
- Abrams EM
- Abreu LG
- Abrigo MRM
- Abu Haimed AK
- Abu-Gharbieh E
- Abu-Raddad LJ
- Abualhasan A
- Abushouk AI
- Acebedo A
- Ackerman IN
- Adabi M
- Adair T
- Adamu AA
- Adebayo OM
- Adedeji IA
- Adekanmbi V
- Adelson JD
- Adeoye AM
- Adetokunboh OO
- Adham D
- Advani SM
- Afarideh M
- Afshari M
- Afshin A
- Agardh EE
- Agarwal G
- Agasthi P
- Agesa KM
- Aghaali M
- Aghamir SMK
- Agrawal A
- Ahmad T
- Ahmadi A
- Ahmadi K
- Ahmadi M
- Ahmadieh H
- Ahmadpour E
- Ahmed MB
- Aji B
- Akalu TY
- Akinyemi RO
- Akinyemiju T
- Akombi B
- Akunna CJ
- Al-Aly Z
- Al-Mekhlafi HM
- Al-Raddadi RM
- Alahdab F
- Alam K
- Alam N
- Alam S
- Alam T
- Alanezi FM
- Alanzi TM
- Albertson SB
- Alcalde-Rabanal JE
- Alema NM
- Alemu BW
- Alemu YM
- Alhabib KF
- Alhassan RK
- Ali M
- Ali S
- Alicandro G
- Alijanzadeh M
- Alinia C
- Alipour V
- Alizade H
- Aljunid SM
- Alla F
- Allebeck P
- Almadi MAH
- Almasi A
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- Almasri NA
- Almulhim AM
- Alonso J
- Altirkawi KA
- Alumran AK
- Alvis-Guzman N
- Alvis-Zakzuk NJ
- Amare AT
- Amare B
- Amini S
- Amini-Rarani M
- Aminorroaya A
- Amiri F
- Amit AML
- Amugsi DA
- Amul GGH
- Anbesu EW
- Ancuceanu R
- Anderlini D
- Anderson JA
- Andrei CL
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- Androudi S
- Angus C
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- Ansari F
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- Antonazzo IC
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- Nigatu D
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- Norrving B
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- Oancea B
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- Olagunju AT
- Olusanya BO
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- Umeokonkwo CD
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- Venketasubramanian N
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- Wondmieneh AB
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- Wunrow HY
- Xie Y
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- Yamagishi K
- Yaminfirooz M
- Yano Y
- Yaya S
- Yazdi-Feyzabadi V
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- Yeheyis TY
- Yeshitila YG
- Yilgwan CS
- Yilma MT
- Yip P
- Yonemoto N
- Yoon S-J
- York HW
- Younis MZ
- Younker TP
- Yousefi B
- Yousefi Z
- Yousefifard M
- Yousefinezhadi T
- Yousuf AY
- Yu C
- Yu Y
- Yuan C-W
- Yuce D
- Yusefzadeh H
- Zadey S
- Zahabi SS
- Zaidi SS
- Zaki L
- Zaki MES
- Zakzuk J
- Zamani M
- Zamanian M
- Zandian H
- Zangeneh A
- Zarafshan H
- Zastrozhin MS
- Zewdie KA
- Zhang J
- Zhang Y
- Zhang Z-J
- Zhao JT
- Zhao X-JG
- Zhao Y
- Zheleva B
- Zheng P
- Zhou M
- Zhu C
- Ziapour A
- Zimsen SRM
- Zlavog BS
- Zodpey S
- Publication venue
- 'Elsevier BV'
- Publication date
- 17/10/2020
- Field of study
Five insights from the Global Burden of Disease Study 2019
- Author
- Abbafati C
- Abbas KM
- Abbasi M
- Abbasi-Kangevari M
- Abbasifard M
- Abbastabar H
- Abd El Razek HM
- Abd El Razek MM
- Abd-Allah F
- Abdelalim A
- Abdollahi M
- Abdollahpour I
- Abdulkader RS
- Abdullah KH
- Abedi A
- Abedi P
- Abegaz KH
- Abolhassani H
- Abosetugn AE
- Aboyans V
- Abrams EM
- Abreu LG
- Abrigo MRM
- Abu Haimed AK
- Abu-Gharbieh E
- Abu-Raddad LJ
- Abualhasan A
- Abushouk AI
- Acebedo A
- Ackerman IN
- Adabi M
- Adair T
- Adamu AA
- Adebayo OM
- Adedeji IA
- Adekanmbi V
- Adelson JD
- Adeoye AM
- Adetokunboh OO
- Adham D
- Advani SM
- Afarideh M
- Afshari M
- Afshin A
- Agardh EE
- Agarwal G
- Agasthi P
- Agesa KM
- Aghaali M
- Aghamir SMK
- Agrawal A
- Ahmad T
- Ahmadi A
- Ahmadi K
- Ahmadi M
- Ahmadieh H
- Ahmadpour E
- Ahmed MB
- Aji B
- Akalu TY
- Akinyemi RO
- Akinyemiju T
- Akombi B
- Akunna CJ
- Al-Aly Z
- Al-Mekhlafi HM
- Al-Raddadi RM
- Alahdab F
- Alam K
- Alam N
- Alam S
- Alam T
- Alanezi FM
- Alanzi TM
- Albertson SB
- Alcalde-Rabanal JE
- Alema NM
- Alemu BW
- Alemu YM
- Alhabib KF
- Alhassan RK
- Ali M
- Ali S
- Alicandro G
- Alijanzadeh M
- Alinia C
- Alipour V
- Alizade H
- Aljunid SM
- Alla F
- Allebeck P
- Almadi MAH
- Almasi A
- Almasi-Hashiani A
- Almasri NA
- Almulhim AM
- Alonso J
- Altirkawi KA
- Alumran AK
- Alvis-Guzman N
- Alvis-Zakzuk NJ
- Amare AT
- Amare B
- Amini S
- Amini-Rarani M
- Aminorroaya A
- Amiri F
- Amit AML
- Amugsi DA
- Amul GGH
- Anbesu EW
- Ancuceanu R
- Anderlini D
- Anderson JA
- Andrei CL
- Andrei T
- Androudi S
- Angus C
- Anjomshoa M
- Ansari F
- Ansari I
- Ansari-Moghaddam A
- Antonazzo IC
- Antonio CAT
- Antony CM
- Antriyandarti E
- Anvari D
- Anwer R
- Appiah SCY
- Arab-Zozani M
- Arabloo J
- Aravkin AY
- Arba AAK
- Aremu O
- Ariani F
- Aripov T
- Armoon B
- Arnlov J
- Arowosegbe OO
- Aryal KK
- Arzani A
- Asaad M
- Asadi-Aliabadi M
- Asadi-Pooya AA
- Asgari S
- Asghari B
- Ashbaugh C
- Assmus M
- Atafar Z
- Athari SS
- Atnafu DD
- Atout MMW
- Atre SR
- Atteraya MS
- Ausloos F
- Ausloos M
- Avila-Burgos L
- Avokpaho EFGA
- Ayano G
- Ayanore MA
- Aynalem GL
- Aynalem YA
- Ayza MA
- Azari S
- Azarian G
- Azene ZN
- Azhar G
- Azzopardi PS
- Babaee E
- Badawi A
- Badiye AD
- Bagherzadeh M
- Bagli E
- Bahrami MA
- Baig AA
- Bairwa M
- Bakhshaei MH
- Bakhtiari A
- Bakkannavar SM
- Balachandran A
- Balakrishnan S
- Balalla S
- Balassyano S
- Baldasseroni A
- Bali AO
- Ball K
- Ballew SH
- Balzi D
- Banach M
- Bandpei MAM
- Banerjee SK
- Banik PC
- Bannick MS
- Bante AB
- Bante SA
- Baraki AG
- Barboza MA
- Barker-Collo SL
- Barnighausen TW
- Barrero LH
- Barthelemy CM
- Barua L
- Barzegar A
- Basaleem H
- Bassat Q
- Basu S
- Baune BT
- Bayati M
- Baye BA
- Bazmandegan G
- Becker JS
- Bedi N
- Beghi E
- Behzadifar M
- Bejot Y
- Bekuma TTT
- Bell ML
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- Ben L
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- Bensenor IM
- Benziger CP
- Berhe K
- Berman AE
- Bernabe E
- Bernstein RS
- Bertolacci GJ
- Bhagavathula AS
- Bhageerathy R
- Bhala N
- Bhandari D
- Bhardwaj P
- Bhat AG
- Bhattacharyya K
- Bhattarai S
- Bhutta ZA
- Bibi S
- Bicer BK
- Biehl MH
- Bijani A
- Bikbov B
- Bilano V
- Bin Sayeed MS
- Bin Zaman S
- Biondi A
- Birihane BM
- Bisanzio D
- Bisignano C
- Biswas RK
- Bitew H
- Bjorge T
- Bockarie MJ
- Bohlouli S
- Bohluli M
- Bojia HA
- Bolla SR
- Boloor A
- Boon-Dooley AS
- Borges G
- Borzi AM
- Borzouei S
- Bose D
- Bosetti C
- Boston S
- Boufous S
- Bourne R
- Brady OJ
- Braithwaite D
- Brauer M
- Brayne C
- Breitborde NJK
- Breitner S
- Brenner H
- Breusov AV
- Briant PS
- Briggs AM
- Briko AN
- Briko NI
- Britton GB
- Brugha T
- Bryazka D
- Buchbinder R
- Bumgarner BR
- Burkart K
- Burnett RT
- Busse R
- Butt ZA
- Caetano dos Santos FL
- Cahill LE
- Cahuana-Hurtado L
- Cai T
- Callender CSKH
- Camera LA
- Campos-Nonato IR
- Cao J
- Car J
- Car LT
- Cardenas R
- Carreras G
- Carrero JJ
- Carvalho F
- Castaldelli-Maia JM
- Castaneda-Orjuela CA
- Castelpietra G
- Castle CD
- Castro E
- Castro F
- Catala-Lopez F
- Causey K
- Cederroth CR
- Cercy KM
- Cerin E
- Chalek J
- Chandan JS
- Chang AR
- Chang AY
- Chang J-C
- Chang K-L
- Charan J
- Charlson FJ
- Chattu VK
- Chaturvedi S
- Cherbuin N
- Chimed-Ochir O
- Chin KL
- Chirinos-Caceres JL
- Cho DY
- Choi J-YJ
- Christensen H
- Chu D-T
- Chung MT
- Chung S-C
- Cicuttini FM
- Ciobanu LG
- Cirillo M
- Cislaghi B
- Classen TKD
- Cohen AJ
- Collins EL
- Comfort H
- Compton K
- Conti S
- Cooper OR
- Corso B
- Cortesi PA
- Costa VM
- Cousin E
- Cowden RG
- Cowie BC
- Cromwell EA
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- Cross DH
- Cross M
- Crowe CS
- Cruz JA
- Cummins S
- Cunningham M
- D'Amico E
- da Silva DD
- Dahlawi SMA
- Dai H
- Dai H
- Damasceno AAM
- Damiani G
- Dandona L
- Dandona R
- Daneshpajouhnejad P
- Dangel WJ
- Danielsson A-K
- Dargan PI
- Darshan BB
- Darwesh AM
- Daryani A
- Das Gupta R
- Das Neves J
- Das JK
- Dash AP
- Davey G
- Davila-Cervantes CA
- Davis AC
- Davitoiu DV
- Davletov K
- De Leo D
- De Neve J-W
- Dean FE
- DeCleene NK
- Deen A
- Defo BK
- Degenhardt L
- DeLang M
- Dellavalle RP
- Demeke FM
- Demoz GT
- Demsie DG
- Denova-Gutierrez E
- Dereje ND
- Deribe K
- Dervenis N
- Desai R
- Desalew A
- Dessie GA
- Deuba K
- Dharmaratne SD
- Dhungana GP
- Dianatinasab M
- Diaz D
- Dichgans M
- Didarloo A
- Dingels ZV
- Dippenaar IN
- Dirac MA
- Djalalinia S
- Do HT
- Dokova K
- Doku DT
- Dolecek C
- Dolgert AJ
- Dorostkar F
- Doshi CP
- Doshi PP
- Doshmangir L
- Douiri A
- Doxey MC
- Doyle KE
- Driscoll TR
- Dubljanin E
- Dunachie SJ
- Duncan BB
- Duraes AR
- Eagan AW
- Ebrahimi H
- Edvardsson D
- Effiong A
- Ehrlich JR
- El Nahas N
- El Sayed I
- El Tantawi M
- El-Jaafary SI
- Elbarazi I
- Elgendy IY
- Elhabashy HR
- Elsharkawy A
- Elyazar IRF
- Emamian MH
- Emmons-Bell S
- Erskine HE
- Eshrati B
- Eskandari K
- Eskandarieh S
- Esmaeilnejad S
- Esmaeilzadeh F
- Esteghamati A
- Esteghamati S
- Estep K
- Etemadi A
- Etisso AE
- Ezekannagha O
- Fanzo J
- Farag T
- Farahmand M
- Faraj A
- Faraon EJA
- Fareed M
- Faridnia R
- Farinha CSES
- Farioli A
- Faris PS
- Faro A
- Faruque M
- Farzadfar F
- Fattahi N
- Fazaeli AA
- Fazlzadeh M
- Feigin VL
- Feldman R
- Fereshtehnejad S-M
- Fernandes E
- Ferrara G
- Ferrara P
- Ferrari AJ
- Ferreira ML
- Feyissa GT
- Filip I
- Fischer F
- Fisher JL
- Fitzgerald R
- Flohr C
- Flor LS
- Foigt NA
- Folayan MO
- Fomenkov AA
- Force LM
- Fornari C
- Forooshani ZSD
- Foroutan M
- Fox JT
- Francis JM
- Frank TD
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- Publication venue
- Publication date
- 01/01/2020
- Field of study
The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 provides a rules-based synthesis of the available evidence on levels and trends in health outcomes, a diverse set of risk factors, and health system responses. GBD 2019 covered 204 countries and territories, as well as first administrative level disaggregations for 22 countries, from 1990 to 2019. Because GBD is highly standardised and comprehensive, spanning both fatal and non-fatal outcomes, and uses a mutually exclusive and collectively exhaustive list of hierarchical disease and injury causes, the study provides a powerful basis for detailed and broad insights on global health trends and emerging challenges. GBD 2019 incorporates data from 281 586 sources and provides more than 3.5 billion estimates of health outcome and health system measures of interest for global, national, and subnational policy dialogue. All GBD estimates are publicly available and adhere to the Guidelines on Accurate and Transparent Health Estimate Reporting. From this vast amount of information, five key insights that are important for health, social, and economic development strategies have been distilled. These insights are subject to the many limitations outlined in each of the component GBD capstone papers.Peer reviewe
Managing the chronic grass sickness case
- Author
- Publication venue
- 'Mark Allen Group'
- Publication date
- Field of study
A case-control study of grass sickness (Equine Dysautonomia) in the United Kingdom
- Publication venue
- Publication date
- 01/01/1998
- Field of study
A case-control study of grass sickness (Equine Dysautonomia) in the United Kingdom
- Publication venue
- Publication date
- 01/01/1998
- Field of study
Long-term prospects for horses with grass sickness (dysautonomia)
- Publication venue
- Publication date
- 01/01/1998
- Field of study
Prediction of long-term outcome following grass sickness (equine dysautonomia)
- Publication venue
- Publication date
- 01/01/1999
- Field of study