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2. Protein intake and urinary albumin excretion rates in the EURODIAB IDDM Complications Study

Author

Toeller, M, Buyken, A, Heitkamp, G, Brämswig, S, Mann, J, Milne, R, Gries, F. A, Keen, H, Karamanos, B, Tountas, C, Kofinis, A, Petrou, K, Katsilambros, N, Roussipenessi, D, Cignarelli, M, Giorgino, R, Degeco, Ml, Ramunni, I, Ionescutirgoviste, C, Strachinariu, R, Nicolau, A, Tamas, G, Kerenyi, Z, Ahmed, Am, Toth, J, Kempler, P, Muntoni, S, Songini, M, Stabilini, M, Fossarello, M, Pintus, S, Ferriss, B, Cronin, Cc, Humphreys, M, Klischan, A, Forst, T, Schumacher, W, Rottiers, R, Priem, H, Deschoolmeester, Mj, Ebeling, P, Sinisalo, M, Koivisto, Va, Idziorwalus, B, Solnica, B, Szopinskaciba, L, Solnica, K, Krans, Hmj, Lemkes, Hhpj, Jansen, Jj, Eltedewever, Bm, Nunescorrea, J, Boavida, J, Carvalho, R, Afonso, Mj, Monteiro, M, Mitchell, DAVID ROSS, Jepson, E, Mchardyyoung, S, Fuller, Jh, Betteridge, Dj, Milne, M, Thompson, T, Michel, G, Wirion, R, Paquet, S, Hornick, H, Boulton, Ajm, Ashe, H, Fernando, Djs, Curwell, J, Pozza, G, Slaviero, G, Comi, G, Fattor, B, Bandello, F, Marchi, Manuel, Mehnert, H, Nuber, A, Janka, H, Nichting, M, Standl, E, Crepaldi, G, Nosadini, R, Cathelineau, G, Cathelineau, Bv, Jellal, M, Grodner, N, Feiss, Pg, Baclet, N, Santeusanio, F, Rosi, G, Ventura, Mrm, Cagini, C, Marino, C, Navalesi, R, Penno, G, Miccoli, R, Nannipieri, M, Manfredi, S, Bertolotto, A, Ghirlanda, G, Cotroneo, P, Manto, A, Teodonio, C, Minnella, A, Careddu, G, Ward, Jd, Tesfaye, S, Mody, C, Rudd, C, Molinatti, Gm, Vitelli, F, Porta, M, Pagano, Gf, Estivi, Sivieri, P., R, Carta, Q, Petraroli, G, Papazoglu, N, Goutzourela, M, Manes, C, Bensoussan, D, Fallas, Mc, Fallas, P, Dhanaeus, C, Muggeo, M, Cacciatori, V, Bellavere, F, Galante, P, Gemma, Ml, Branzi, P, Irsigler, K, Abrahamian, H, Gurdet, C, Hornlein, B, Willinger, C, Strohner, H, Just, M, Walford, S, Wardle, Henio, Ev, S, Cooke, H, Roglic, G, Resman, Z, Metelko, Z, Skrabalo, Z, Vrhovac, V., Toeller, M, Buyken, A, Heitkamp, G, Bramswig, S, Mann, J, Milne, R, Gries, Fa, Keen, H, Karamanos, B, Tountas, C, Kofinis, A, Petrou, K, Katsilambros, N, Roussipenessi, D, Cignarelli, M, Giorgino, R, Degeco, Ml, Ramunni, I, Ionescutirgoviste, C, Strachinariu, R, Nicolau, A, Tamas, G, Kerenyi, Z, Ahmed, Am, Toth, J, Kempler, P, Muntoni, S, Songini, M, Stabilini, M, Fossarello, M, Pintus, S, Ferriss, B, Cronin, Cc, Humphreys, M, Klischan, A, Forst, T, Schumacher, W, Rottiers, R, Priem, H, Deschoolmeester, Mj, Ebeling, P, Sinisalo, M, Koivisto, Va, Idziorwalus, B, Solnica, B, Szopinskaciba, L, Solnica, K, Krans, Hmj, Lemkes, Hhpj, Jansen, Jj, Eltedewever, Bm, Nunescorrea, J, Boavida, J, Carvalho, R, Afonso, Mj, Monteiro, M, David, R, Jepson, E, Mchardyyoung, S, Fuller, Jh, Betteridge, Dj, Milne, M, Thompson, T, Michel, G, Wirion, R, Paquet, S, Hornick, H, Boulton, Ajm, Ashe, H, Fernando, Dj, Curwell, J, Pozza, G, Slaviero, G, Comi, G, Fattor, B, Bandello, F, Marchi, M, Mehnert, H, Nuber, A, Janka, H, Nichting, M, Standl, E, Crepaldi, G, Nosadini, R, Cathelineau, G, Cathelineau, Bv, Jellal, M, Grodner, N, Feiss, Pg, Baclet, N, Santeusanio, F, Rosi, G, Ventura, Mrm, Cagini, C, Marino, C, Navalesi, R, Penno, G, Miccoli, R, Nannipieri, M, Manfredi, S, Bertolotto, A, Ghirlanda, G, Cotroneo, P, Manto, A, Teodonio, C, Minnella, A, Careddu, G, Ward, Jd, Tesfaye, S, Mody, C, Rudd, C, Molinatti, Gm, Vitelli, F, Porta, M, Pagano, Gf, Estivi, P, Sivieri, R, Carta, Q, Petraroli, G, Papazoglu, N, Goutzourela, M, Manes, C, Bensoussan, D, Fallas, Mc, Fallas, P, Dhanaeus, C, Muggeo, M, Cacciatori, V, Bellavere, F, Galante, P, Gemma, Ml, Branzi, P, Irsigler, K, Abrahamian, H, Gurdet, C, Hornlein, B, Willinger, C, Strohner, H, Just, M, Walford, S, Wardle, Ev, Henio, S, Cooke, H, Roglic, G, Resman, Z, Metelko, Z, Skrabalo, Z, and Vrhovac, V

Subjects
Adult, Male, medicine.medical_specialty, Adolescent, endocrine system diseases, Endocrinology, Diabetes and Metabolism, Urinary system, Physiology, Albuminuria, Cross-Sectional Studies, Diabetes Mellitus, Type 1, Diabetic Nephropathies, Dietary Proteins, Europe, Female, Humans, Middle Aged, Nephropathy, Protein intake, urinary albumin, Diabetic nephropathy, Excretion, Diabetes mellitus, Internal medicine, Diabetes Mellitus, Internal Medicine, Medicine, Proteinuria, business.industry, medicine.disease, Endocrinology, Blood pressure, medicine.symptom, business, Type 1, Kidney disease
Abstract

For people with insulin-dependent diabetes mellitus (IDDM) renal disease represents a life-threatening and costly complication. The EURODIAB IDDM Complications Study, a cross-sectional, clinic-based study, was designed to determine the prevalence of renal complications and putative risk factors in stratified samples of European individuals with IDDM. The present study examined the relationship between dietary protein intake and urinary albumin excretion rate (AER). Food intake was assessed centrally by a standardized 3-day dietary record. Urinary AER was determined in a central laboratory from a timed 24-h urine collection. Complete data were available from 2696 persons with IDDM from 30 centres in 16 European countries. In individuals who reported protein consumption less than 20 % of total food energy intake, mean AER was below 20 μg/min. In those in whom protein intake constituted more than 20 %, mean AER increased, a trend particularly pronounced in individuals with hypertension and/or poor metabolic control. Trends reached statistical significance for intakes of total protein (% of energy, p = 0.01) and animal protein (% of energy, p = 0.02), while no association was seen for vegetable protein (p = 0.83). These findings support the current recommendation for people with diabetes not to exceed a protein intake of 20 % of total energy. Monitoring and adjustment of dietary protein appears particularly desirable for individuals with AER exceeding 20 μg/min (approximately 30 mg/24 h), especially when arterial pressure is raised and/or diabetic control is poor. [Diabetologia (1997) 40: 1219–1226]

Published
1997

3. Repeatability of three-day dietary records in the EURODIAB IDDM Complications Study

Author

Toeller M, Buyken A, Heitkamp G, Milne R, Klischan A, Gries FA, Fuller JH, Keen H, Krans HMJ, Navalesi R, Sjolie AK, Stephenson JM, Viberti GC, Karamanos B, Tountas C, Kofinis A, Petrou K, Katsilambros N, RoussiPenessi D, Cignarelli M, Giorgino R, DeGeco ML, Ramunni I, IonescuTirgoviste C, Strachinariu R, Nicolau A, Tamas G, Kerenyi Z, Ahmed AM, Toth J, Kempler P, Muntoni S, Songini M, Stabilini M, Fossarello M, Pintus S, Ferriss B, Cronin CC, Humphreys M, Forst T, Schumacher W, Wagener W, Venhaus A, Rottiers R, Priem H, Deschoolmeester MJ, Ebeling P, Sinisalo M, Koivisto VA, IdziorWalus B, Solnica B, SzopinskaCiba L, Solnica K, Lemkes HHPJ, Jansen JJ, EltedeWever BM, NunesCorrea J, Boavida J, Carvalho R, Afonso MJ, Monteiro M, David R, Jepson E, McHardyYoung S, Betteridge DJ, Milne M, Thompson T, Michel G, Wirion R, Paquet S, Hornick H, Boulton AJM, Ashe H, Fernando DJS, Curwell J, Pozza G, Slaviero G, Comi G, Fattor B, Marchi M, Mehnert H, Nuber A, Janka H, Nichting M, Standl E, Crepaldi G, Nosadini R, Cathelineau G, Cathelineau BV, Jellal M, Grodner N, Feiss PG, Baclet N, Santeusanio F, Rosi G, Ventura MRM, Cagini C, Marino C, Penno G, Miccoli R, Nannipieri M, Manfredi S, Bertolotto A, Ghirlanda G, Manto A, Cotroneo P, Ward JD, Tesfaye S, Mody C, Rudd C, Papazoglou N, Goutzourela M, Manes C, Molinatti GM, Vitelli F, Porta M, Pagano GF, Estivi P, Sivieri R, Carta Q, Petraroli G, BenSoussan D, Fallas MC, Fallas P, Dhanaeus C, Bourgeois MD, Muggeo M, Cacciatori V, Bellavere F, Galante P, Gemma ML, Branzi P, Irsigler K, Abrahamian H, Gurdet C, Hornlein B, Willinger C, Strohner H, Just M, Walford S, Wardle EV, Henio S, Cooke H, Roglic G, Resman Z, Metelko Z, Skrabalo Z., BANDELLO , FRANCESCO, Toeller, M, Buyken, A, Heitkamp, G, Milne, R, Klischan, A, Gries, Fa, Fuller, Jh, Keen, H, Krans, Hmj, Navalesi, R, Sjolie, Ak, Stephenson, Jm, Viberti, Gc, Karamanos, B, Tountas, C, Kofinis, A, Petrou, K, Katsilambros, N, Roussipenessi, D, Cignarelli, M, Giorgino, R, Degeco, Ml, Ramunni, I, Ionescutirgoviste, C, Strachinariu, R, Nicolau, A, Tamas, G, Kerenyi, Z, Ahmed, Am, Toth, J, Kempler, P, Muntoni, S, Songini, M, Stabilini, M, Fossarello, M, Pintus, S, Ferriss, B, Cronin, Cc, Humphreys, M, Forst, T, Schumacher, W, Wagener, W, Venhaus, A, Rottiers, R, Priem, H, Deschoolmeester, Mj, Ebeling, P, Sinisalo, M, Koivisto, Va, Idziorwalus, B, Solnica, B, Szopinskaciba, L, Solnica, K, Lemkes, Hhpj, Jansen, Jj, Eltedewever, Bm, Nunescorrea, J, Boavida, J, Carvalho, R, Afonso, Mj, Monteiro, M, David, R, Jepson, E, Mchardyyoung, S, Betteridge, Dj, Milne, M, Thompson, T, Michel, G, Wirion, R, Paquet, S, Hornick, H, Boulton, Ajm, Ashe, H, Fernando, Dj, Curwell, J, Pozza, G, Slaviero, G, Comi, G, Fattor, B, Bandello, Francesco, Marchi, M, Mehnert, H, Nuber, A, Janka, H, Nichting, M, Standl, E, Crepaldi, G, Nosadini, R, Cathelineau, G, Cathelineau, Bv, Jellal, M, Grodner, N, Feiss, Pg, Baclet, N, Santeusanio, F, Rosi, G, Ventura, Mrm, Cagini, C, Marino, C, Penno, G, Miccoli, R, Nannipieri, M, Manfredi, S, Bertolotto, A, Ghirlanda, G, Manto, A, Cotroneo, P, Ward, Jd, Tesfaye, S, Mody, C, Rudd, C, Papazoglou, N, Goutzourela, M, Manes, C, Molinatti, Gm, Vitelli, F, Porta, M, Pagano, Gf, Estivi, P, Sivieri, R, Carta, Q, Petraroli, G, Bensoussan, D, Fallas, Mc, Fallas, P, Dhanaeus, C, Bourgeois, Md, Muggeo, M, Cacciatori, V, Bellavere, F, Galante, P, Gemma, Ml, Branzi, P, Irsigler, K, Abrahamian, H, Gurdet, C, Hornlein, B, Willinger, C, Strohner, H, Just, M, Walford, S, Wardle, Ev, Henio, S, Cooke, H, Roglic, G, Resman, Z, Metelko, Z, and Skrabalo, Z.

Subjects
Dietary Fiber, medicine.medical_specialty, Alcohol Drinking, European community, Saturated fat, Population, Medicine (miscellaneous), the EURODIAB IDDM Study, Diabetes mellitus, Dietary Carbohydrates, medicine, Humans, education, education.field_of_study, Nutrition and Dietetics, business.industry, Reproducibility of Results, Repeatability, medicine.disease, Dietary Fats, Diet Records, Confidence interval, Surgery, Europe, three-day dietary records, Diabetes Mellitus, Type 1, Nutrition Assessment, Quartile, Cohort, Dietary Proteins, Energy Intake, business, Demography
Abstract

Objectives: Repeatability of a dietary method is important in determining the quality of nutritional data. It should be assessed in the population of interest. This study evaluated the repeatability of nutritional data from standardized three-day dietary records, from the clinic-based, cross-sectional multi-centre EURODIAB IDDM Complications Study. Design and Subjects: 15% of the total EURODIAB cohort was randomly selected to test the repeatability of nutritional intake data. Two three-day records, completed three weeks apart, were available for 216 diabetic patients (7.5%) representative of the total cohort. All records were analysed centrally, for intakes of protein (animal and vegetable), fat (saturated fat and cholesterol), carbohydrate, fibre, alcohol and energy. Repeatability was measured comparing mean intakes, determining the proportion of patients classified into the same/opposite quartile by the two three-day records and assessing mean differences with standard deviations (s.d.d). Results: There were no significant differences in mean energy and nutrient intakes between the first and second records. Classification of individuals into the opposite quartile occurred only in 0–4% of patients and overall about 50% (range 44–74%) of the subjects were classified into the same quartiles of intakes. Only small mean differences were found for energy intake (−156 (1633) kJ; 95% confidence limits −375, 63 kJ) and nutrients with s.d.ds comparable to intra-individual variations in the general population. The differences in energy intake were randomly distributed over the range of intakes. Conclusions: The present study demonstrates that standardized three day dietary records show a high degree of repeatability within a short period of time in a sample of European IDDM patients. The good repeatability strengthens the conclusions drawn from the nutritional data in the EURODIAB IDDM Complications Study. Sponsorship: Nutrition Co-ordinating Centre research funds, Diabetes Research Institute at Heinrich-Heine University, Dusseldorf. The EURODIAB IDDM Complications Study was supported by the European Community.

Published
1997

4. Microalbuminuria in type 1 diabetes: Rates, risk factors and glycemic threshold

Author

Chaturvedi, Nish, Bandinelli, Simona, Mangili, Ruggero, Penno, Guiseppe, Rottiers, Raoul E., Fuller, John H., Karamanos, B., Kofinis, A., Petrou, K., Giorgino, R., Giorgino, F., Picca, G., Angarano, A., De Pergola, G., Ionescu-Tirgoviste, C., Coszma, A., Songini, M., Casu, A., Pedron, M., Fossarello, M., Ferriss, J. B., Grealy, G., Keefe, D. O., White, A., Cleary, P. E., Toeller, M., Arden, C., Rottiers, R., Tuyttens, C., Priem, H., Ebeling, P., Kylliainen, M., Kyostio-Renvall, T., Idzior-Walus, B., Sieradzki, J., Cyganek, K., Lemkes, H. H. P. J., Roest, C., Nunes-Correa, J., Rogado, M. C., Gardete-Correia, L., Cardoso, M. C., Michel, G., Wirion, R., Cardillo, S., Pozza, G., Mangili, R., Asnaghi, V., Lattanzio, Rosangela, Galardi, G., Standl, E., Schaffler, B., Brand, H., Harms, A., Ben Soussan, D., Verier-Mine, O., Fuller, J. H., Holloway, J., Asbury, L., Betteridge, D. J., Cathelineau, G., Bouallouche, A., Villatte Cathelineau, B., Santeusanio, F., Rosi, G., D’ Alessandro, V., Cagini, C., Navalesi, R., Penno, G., Bandinelli, S., Miccoli, R., Ghirlanda, G., Saponara, C., Cotroneo, P., Manto, A., Minnella, A., Ward, J. D., Tesfaye, S., Eaton, S., Mody, C., Porta, M., Perin, P. Cavallo, Borra, M., Giunti, S., Papazoglou, N., Manes, Gianfranco, Muggeo, M., Iagulli, M., Irsigler, K., Abrahamian, H., Walford, S., Wardle, E. V., Sinclair, J., Hughes, S., Roglic, G., Metelko, Z., Resman, Z., Sjolie, A. -. K., Chaturvedi, N., Ferriss, B., Webb, D., Viberti, G. -. C., Swaminathan, R., Lumb, P., Collins, A., Sankaralingham, S., Aldington, S., Mortemore, T., and Lipinski, H.

Subjects
Albuminuria, Blood sugar control, Cardiovascular disease, Insulin resistance, Renal disease, Adolescent, Adult, Blood Glucose, Body Constitution, Cohort Studies, Diabetes Mellitus, Type 1, Differential Threshold, Disease Progression, Europe, Female, Follow-Up Studies, Humans, Incidence, Insulin Resistance, Male, Middle Aged, Prospective Studies, Reference Values, Risk Factors, Triglycerides, Nephrology, endocrine system diseases, urologic and male genital diseases, Gastroenterology, Waist–hip ratio, Proteinuria, Settore MED/30 - MALATTIE APPARATO VISIVO, female genital diseases and pregnancy complications, medicine.symptom, Type 1, medicine.medical_specialty, Internal medicine, Diabetes mellitus, Diabetes Mellitus, medicine, Risk factor, Glycemic, Type 1 diabetes, business.industry, nutritional and metabolic diseases, medicine.disease, Endocrinology, Microalbuminuria, business
Abstract

Microalbuminuria in type 1 diabetes: Rates, risk factors and glycemic threshold.BackgroundThe occurrence of microalbuminuria in type 1 diabetes is strongly predictive of renal and cardiovascular disease and is still likely to occur despite improvements in glycemic control. A better understanding of microalbuminuria is required to inform new interventions. We determined the incidence and risk factors for microalbuminuria [albumin excretion rate (AER) 20 to 200 μg/min] in the EURODIAB Prospective Complications Study.MethodsThis is a seven-year follow-up (between 1988 and 1991) of 1134 normoalbuminuric men and women (aged 15 to 60) with type 1 diabetes from 31 European centers. Risk factors and AER were measured centrally.ResultsThe incidence of microalbuminuria was 12.6% over 7.3 years. Independent baseline risk factors were HbA1c (7.1 vs. 6.2%, P = 0.0001) and AER (9.6 vs. 7.8 μg/min, P = 0.0001) and, independent of these, fasting triglyceride (0.99 vs. 0.88 mmol/L, P = 0.01), low-density lipoprotein cholesterol (3.5 vs. 3.2 mmol/L, P = 0.02), body mass index (24.0 vs. 23.4 kg/m2, P = 0.01), and waist to hip ratio (WHR; 0.85 vs. 0.83, P = 0.009). Triglyceride and WHR risk factors were nearly as strong as AER in predicting microalbuminuria (standardized regression effects of 1.3 for triglyceride and WHR and 1.5 for AER). Blood pressure at follow-up, but not at baseline, was also raised in those who progressed. There was no evidence of a threshold of HbA1c on microalbuminuria risk.ConclusionsThe incidence of microalbuminuria in patients with type 1 diabetes remains high, and there is no apparent glycemic threshold for it. Markers of insulin resistance, such as triglyceride and WHR, are strong risk factors. Systemic blood pressure is not raised prior to the onset of microalbuminuria.

Published
2001

5. Randomised placebo-controlled trial of lisinopril in normotensive patients with insulin-dependent diabetes and normoalbuminuria or microalbuminuria

Author

Chaturvedi, N, Stevenson, J, Fuller, Jh, Rottiers, R, Ferriss, B, Karamanos, B, Kofinis, A, Petrou, C, Ionescutirgovisite, C, Iosif, C, Tamas, G, Bibok, G, Kerenyi, Z, Kisgombos, P, Toth, J, Grealy, G, Priem, H, Koivisto, V, Tuominen, J, Kostamo, E, Idziorwalus, B, Solnica, B, Galickalatalie, D, Michel, G, Keipes, M, Giuliani, A, Herode, A, Santeusanio, F, Bueti, A, Bistoni, S, Cagini, Navalesi, R, Penno, G, Nannipieri, Monica, Rizzo, L, Miccoli, Roberto, Ghirlanda, G, Cotroneo, P, Manto, A, Minella, A, Saponara, C, Ward, J, Plater, M, Ibrahim, S, Ibbotson, S, Mody, C, Papazoglou, N, Manes, C, Soulis, K, Voukias, M, Muggeo, M, Cacciatori, V, Gemma, Ml, Dellera, A, Castellarin, A, Irsigler, K, Abrahamian, H, Gurdet, C, Willinger, C, Nelstrop, A, Feben, C, Walford, S, Mclelland, V, Hughes, S, Metelko, Z, Roglic, G, Pepeonik, Zr, Stephenson, J, Viberti, Gc, Sjolie, Ak, Holloway, J, Milne, M, Webb, D, Bulpitt, C, Fletcher, A, Shipley, M, John, G, and Newman, Dj

Subjects
medicine.medical_specialty, Proteinuria, endocrine system diseases, business.industry, Urology, Lisinopril, Renal function, Captopril, General Medicine, urologic and male genital diseases, Placebo, medicine.disease, Endocrinology, Internal medicine, ACE inhibitor, medicine, Albuminuria, Microalbuminuria, medicine.symptom, business, medicine.drug
Abstract

Summary Background Renal disease in people with insulin-dependent diabetes (IDDM) continues to pose a major health threat. Inhibitors of angiotensin-converting enzyme (ACE) slow the decline of renal function in advanced renal disease, but their effects at earlier stages are unclear, and the degree of albuminuria at which treatment should start is not known. Methods We carried out a randomised, double-blind, placebo-controlled trial of the ACE inhibitor lisinopril in 530 men and women with IDDM aged 20–59 years with normoalbuminuria or microalbuminuria. Patients were recruited from 18 European centres, and were not on medication for hypertension. Resting blood pressure at entry was at least 75 and no more than 90 mm hg diastolic, and no more than 155 mm hg systolic. Urinary albumin excretion rate (AER) was centrally assessed by means of two overnight urine collections at baseline, 6, 12, 18, and 24 months. Findings There were no differences in baseline characteristics by treatment group; mean AER was 8.0 μg/min in both groups; and prevalence of microalbuminuria was 13% and 17% in the placebo and lisinopril groups, respectively. On intention-to-treat analysis at 2 years, AER was 2.2 μg/min lower in the lisinopril than in the placebo group, a percentage difference of 18.8% (95% CI 2·0–32·7, p=0·03), adjusted for baseline AER and centre, absolute difference 2.2 μg/min. In people with normoalbuminuria, the treatment difference was 1·0 μg/min (12·7% [−2·9 to 26·0], p=0·1). In those with microalbuminuria, however, the treatment difference was 34.2 μg/min (49·7% [−14·5 to 77·9], p=0·1; for interaction, p=0·04). For patients who completed 24 months on the trial, the final treatment difference in AER was 38·5 μg/min in those with microalbuminuria at baseline (p=0·001), and 0·23 μg/min in those with normoalbuminuria at baseline (p=0·6). There was no treatment difference in hypoglycaemic events or in metabolic control as assessed by glycated haemoglobin. Interpretation Lisinopril slows the progression of renal disease in normotensive IDDM patients with little or no albuminuria, though greatest effect was in those with microalbuminuria (AER ≥20 μg/min). Our results show that lisinopril does not increase the risk of hypoglycaemic events in IDDM.

Published
1997

6. Nutritional intake of 2868 IDDM patients from 30 centres in Europe

Author

Toeller, M, Klischan, A, Heitkamp, G, Schumacher, W, Milne, R, Buyken, A, Karamanos, B, Gries, Fa, Fuller, Jh, Keen, H, Krans, Hmj, Navalesi, R, Sjolie, Ak, Stephenson, Jm, Viberti, Gc, Tountas, C, Kofinis, A, Petrou, K, Katsilambros, N, Roussipenessi, D, Cignarelli, M, Giorgino, R, Degeco, Ml, Ramunni, I, Ionescutirgoviste, C, Strachinariu, R, Nicolau, A, Tamas, G, Kerenyi, Z, Ahmed, Am, Toth, J, Kempler, P, Muntoni, S, Songini, M, Stabilini, M, Fossarello, M, Pintus, S, Ferriss, B, Cronin, Cc, Humphreys, M, Forst, T, Wagener, W, Venhaus, A, Rottiers, R, Priem, H, Deschoolmeester, Mj, Ebeling, P, Sinisalo, M, Koivisto, Va, Idziorwalus, B, Solnica, B, Szopinskaciba, L, Solnica, K, Lemkes, Hhpj, Janse, Jj, Eltedewever, Bm, Nunescorrea, J, Boavida, J, Carvalho, R, Alfonso, Mj, Monteiro, M, David, R, Jepson, E, Mchardyyoung, S, Betteridge, Dj, Milne, M, Michel, G, Wirion, R, Paquet, S, Hornick, H, Boulton, Ajm, Ashe, H, Fernando, Djs, Curwell, J, Pozza, G, Slaviero, G, Comi, G, Fattor, B, Bandello, F, Marchi, M, Mehnert, H, Nuber, A, Janka, H, Nichting, M, Crepaldi, G, Nosadini, R, Cathelineau, G, Cathelineau, Bv, Jellal, M, Grodner, N, Feiss, Pg, Baclet, N, Santeusanio, F, Rosi, G, Ventura, Mrm, Cagini, C, Marino, C, Penno, G, Miccoli, Roberto, Nannipieri, Monica, Manfredi, S, Bertolotto, A, Ghirlanda, G, Cotroneo, P, Manto, A, Teodonio, C, Minnella, A, Careddu, G, Ward, Jd, Tesfaye, S, Mody, C, Rudd, C, Molinatti, Gm, Vitelli, F, Porta, M, Pagano, Gf, Estivi, P, Sivieri, R, Carta, Q, Petraroli, G, Papazoglou, N, Goutzourela, M, Manes, C, Bensoussan, D, Fallas, Mc, Fallas, P, Dhanaeus, C, Bourgeois, Md, Muggeo, M, Cacciatori, V, Bellavere, F, Galante, P, Gemma, Ml, Branzi, P, Irsigler, K, Abrahamian, H, Gurdet, C, Hornlein, B, Willinger, C, Strohner, H, Just, M, Walford, S, Wardle, Ev, Henio, S, Cooke, H, Roglic, G, Resman, Z, Metelko, Z, Skrabalo, Z., Toeller, M, Klischan, A, Heitkamp, G, Schumacher, W, Milne, R, Buyken, A, Karamanos, B, Gries, Fa, Fuller, Jh, Keen, H, Krans, Hmj, Navalesi, R, Sjolie, Ak, Stephenson, Jm, Viberti, Gc, Tountas, C, Kofinis, A, Petrou, K, Katsilambros, N, Roussipenessi, D, Cignarelli, M, Giorgino, R, Degeco, Ml, Ramunni, I, Ionescutirgoviste, C, Strachinariu, R, Nicolau, A, Tamas, G, Kerenyi, Z, Ahmed, Am, Toth, J, Kempler, P, Muntoni, S, Songini, M, Stabilini, M, Fossarello, M, Pintus, S, Ferriss, B, Cronin, Cc, Humphreys, M, Forst, T, Wagener, W, Venhaus, A, Rottiers, R, Priem, H, Deschoolmeester, Mj, Ebeling, P, Sinisalo, M, Koivisto, Va, Idziorwalus, B, Solnica, B, Szopinskaciba, L, Solnica, K, Lemkes, Hhpj, Janse, Jj, Eltedewever, Bm, Nunescorrea, J, Boavida, J, Carvalho, R, Alfonso, Mj, Monteiro, M, David, R, Jepson, E, Mchardyyoung, S, Betteridge, Dj, Milne, M, Michel, G, Wirion, R, Paquet, S, Hornick, H, Boulton, Ajm, Ashe, H, Fernando, Dj, Curwell, J, Pozza, G, Slaviero, G, Comi, G, Fattor, B, Bandello, Francesco, Marchi, M, Mehnert, H, Nuber, A, Janka, H, Nichting, M, Crepaldi, G, Nosadini, R, Cathelineau, G, Cathelineau, Bv, Jellal, M, Grodner, N, Feiss, Pg, Baclet, N, Santeusanio, F, Rosi, G, Ventura, Mrm, Cagini, C, Marino, C, Penno, G, Miccoli, R, Nannipieri, M, Manfredi, S, Bertolotto, A, Ghirlanda, G, Cotroneo, P, Manto, A, Teodonio, C, Minnella, A, Careddu, G, Ward, Jd, Tesfaye, S, Mody, C, Rudd, C, Molinatti, Gm, Vitelli, F, Porta, M, Pagano, Gf, Estivi, P, Sivieri, R, Carta, Q, Petraroli, G, Papazoglou, N, Goutzourela, M, Manes, C, Bensoussan, D, Fallas, Mc, Fallas, P, Dhanaeus, C, Bourgeois, Md, Muggeo, M, Cacciatori, V, Bellavere, F, Galante, P, Gemma, Ml, Branzi, P, Irsigler, K, Abrahamian, H, Gurdet, C, Hornlein, B, Willinger, C, Strohner, H, Just, M, Walford, S, Wardle, Ev, Henio, S, Cooke, H, Roglic, G, Resman, Z, Metelko, Z, and Skrabalo, Z.

Subjects
medicine.medical_specialty, education.field_of_study, Cross-sectional study, business.industry, Endocrinology, Diabetes and Metabolism, Saturated fat, Population, Nutritional intake, IDDM patients, medicine.disease, Diet Records, Endocrinology, Internal medicine, Diabetes mellitus, Cohort, Internal Medicine, medicine, Population study, education, business, Cohort study
Abstract

The EURODIAB IDDM Complications Study, a cross-sectional, clinic-based study, was designed to measure the prevalence of diabetic complications in stratified samples of European insulin-dependent diabetic (IDDM) patients. As diet may be related to diabetic complications, nutritional intake was analysed in the study population. The aims of this first nutritional paper are to describe the nutrient intake in 2868 IDDM patients from 30 centres in 16 countries throughout Europe, to investigate the degree of regional differences in nutrient intake and to compare current intakes with recommended levels. Nutritional intake from 1458 male and 1410 female IDDM patients was assessed by a validated 3-day record (two weekdays, Sunday) and centrally analysed. Mean energy intake for all patients was 2390 +/- 707 kcal/day. Mean protein intake was 1.5 +/- 0.5 g/kg body weight. Carbohydrate intake was 43% and fibre intake 18 g/day. Alcohol intake for the total cohort was 2% of energy. Total fat contributed 38% of energy, with 14% from saturated fat. The Italian centres reported lower total and saturated fat intakes compared with other centres. Recommendations from the Diabetes and Nutrition Study Group of the EASD for total fat, saturated fatty acids and carbohydrate were only achieved by 14%, 14% and 15% of patients, respectively. The data of the present study clearly indicate current problems in the nutritional intake of European IDDM patients. These findings contribute to the definition of future targets in the nutritional management of IDDM patients, to be achieved as part of the initiatives taken by the St. Vincent Declaration action programme.

Published
1996

7. Retinopathy and Vision Loss in Insulin-dependent Diabetes in Europe

Author

Sjølie, Anne Katrin, primary, Stephenson, Judith, additional, Aldington, Steve, additional, Kohner, Eva, additional, Janka, Hans, additional, Stevens, Lynda, additional, Fuller, John, additional, Karamanos, B., additional, Tountas, C., additional, Kofinis, A., additional, Petrou, K., additional, Katsilambros, N., additional, Cignarelli, M., additional, Giorgino, R., additional, De Geco, M.L., additional, Ramunni, I., additional, Ionescu-Tirgoviste, C., additional, Iosif, C.M., additional, Pitei, C., additional, Buligescu, S., additional, Tamas, G., additional, Kerenyi, Z., additional, Ahmed, A.M., additional, Toth, J., additional, Kempler, P., additional, Muntoni, S., additional, Songini, M., additional, Stabilini, M., additional, Fossarello, M., additional, Pintus, S., additional, Ferriss, B., additional, Cronin, C.C., additional, Toeller, M., additional, Klischan, A., additional, Forst, T., additional, Gries, F.A., additional, Rottiers, R., additional, Priem, H., additional, Ebeling, P., additional, Sinisalo, M., additional, Koivisto, V.A., additional, Idzior-Walus, B., additional, Solnica, B., additional, Szopinska-Ciba, L., additional, Solnica, K., additional, Krans, H.M.J., additional, Lemkes, H.H.P.J., additional, Jansen, J.J., additional, Nunes-Cornea, J., additional, Boavida, J., additional, Michel, G., additional, Wirion, R., additional, Boulton, A.J.M., additional, Ashe, H., additional, Fernando, D.J.S., additional, Pozza, G., additional, Slaviero, G., additional, Comi, G., additional, Fattor, B., additional, Bandello, F., additional, Mehnert, H., additional, Nuber, A., additional, Janka, H., additional, Ben Soussan, D., additional, Fallas, M.C., additional, Fallas, P., additional, Jepson, E., additional, McHardy-Young, S., additional, Fuller, J.H., additional, Betteridge, D.J., additional, Milne, M., additional, Crepaldi, G., additional, Nosadini, R., additional, Cathelineau, G., additional, Villatte Cathelineau, B., additional, Jellal, M., additional, Grodner, N., additional, Gervais Feiss, P., additional, Santeusanio, F., additional, Rosi, G., additional, Ventura, M.R.M., additional, Cagini, C., additional, Marino, C., additional, Navalesi, R., additional, Penno, G., additional, Miccoli, R., additional, Nannipieri, M., additional, Manfredi, S., additional, Ghirlanda, G., additional, Cotroneo, P., additional, Manto, A., additional, Teodonio, C., additional, Minnella, A., additional, Ward, J.D., additional, Tesfaye, S., additional, Mody, C., additional, Rudd, C., additional, Molinatti, G.M., additional, Vitelli, F., additional, Porta, M., additional, Pagano, G.F., additional, Cavallo Perin, P., additional, Estivi, P., additional, Sivieri, R., additional, Carta, Q., additional, Petraroli, G., additional, Papazoglou, N., additional, Manes, G., additional, Triantaphyllou, G., additional, Ioannides, A., additional, Muggeo, M., additional, Cacciatori, V., additional, Bellavere, F., additional, Galante, P., additional, Gemma, M.L., additional, Irsigler, K., additional, Abrahamian, H., additional, Gurdet, C., additional, Hornlein, B., additional, Willinger, C., additional, Walford, S., additional, Wardle, E.V., additional, Roglic, G., additional, Resman, Z., additional, Metelko, Z., additional, and Skrabalo, Z., additional

Published
1997
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8. Nutrient intakes as predictors of body weight in European people with type 1 diabetes.

Author

Toeller, M., Buyken, A. E., Heitkamp, G., Cathelineau, G., Ferriss, B., and Michel, G.

Subjects
BODY weight, NUTRITION, DIABETES
Abstract

BACKGROUND: Overweight and obesity are also found among persons with type 1 diabetes. OBJECTIVE: The present study examined which nutrients predict the body mass index (BMI), the waist-to-hip ratio (WHR) and the waist circumference (WC) of European persons with type 1 diabetes. DESIGN: Cross-sectional, clinic-based study (EURODIAB Complications Study). SUBJECTS AND METHODS: Nutrient intakes (assessed by a 3-day dietary record) predicting measures of body weight (BMI, WHR and WC) were determined by stepwise forward regression analysis in 1458 males and 1410 females with type 1 diabetes (P ≤ 0.05 for inclusion). RESULTS: In men, a higher carbohydrate intake was a significant independent predictor for lower levels of BMI, WHR and WC, an increased saturated fat intake and a lower intake of cereal fibre predicted a higher WHR, a higher monounsaturated fat intake and a lower glycaemic index of the diet determined lower levels of WHR and WC, and a moderate consumption of alcohol determined an increased WC. In women, a higher carbohydrate intake predicted a lower BMI and a thinner WC, no alcohol consumption determined a lower BMI, and an increased intake of saturated fat and a lower consumption of cereal fibre were significant independent predictors for a higher WHR. CONCLUSIONS: A modified fat intake, an increase of carbohydrate and cereal fibre intake and a preferred consumption of low glycaemic index foods are independently related to lower measures of body weight in European persons with type 1 diabetes. [ABSTRACT FROM AUTHOR]

Published
2001

10. Retinopathy and Vision Loss in Insulin-dependent Diabetes in Europe: The EURODIAB IDDM Complications Study

Author

Karamanos, B., Tountas, C., Kofinis, A., Petrou, K., Katsilambros, N., Cignarelli, M., Giorgino, R., De Geco, M.L., Ramunni, I., Ionescu-Tirgoviste, C., Iosif, C.M., Pitei, C., Buligescu, S., Tamas, G., Kerenyi, Z., Ahmed, A.M., Toth, J., Kempler, P., Muntoni, S., Songini, M., Stabilini, M., Fossarello, M., Pintus, S., Ferriss, B., Cronin, C.C., Toeller, M., Klischan, A., Forst, T., Gries, F.A., Rottiers, R., Priem, H., Ebeling, P., Sinisalo, M., Koivisto, V.A., Idzior-Walus, B., Solnica, B., Szopinska-Ciba, L., Solnica, K., Krans, H.M.J., Lemkes, H.H.P.J., Jansen, J.J., Nunes-Cornea, J., Boavida, J., Michel, G., Wirion, R., Boulton, A.J.M., Ashe, H., Fernando, D.J.S., Pozza, G., Slaviero, G., Comi, G., Fattor, B., Bandello, F., Mehnert, H., Nuber, A., Janka, H., Ben Soussan, D., Fallas, M.C., Fallas, P., Jepson, E., McHardy-Young, S., Fuller, J.H., Betteridge, D.J., Milne, M., Crepaldi, G., Nosadini, R., Cathelineau, G., Villatte Cathelineau, B., Jellal, M., Grodner, N., Gervais Feiss, P., Santeusanio, F., Rosi, G., Ventura, M.R.M., Cagini, C., Marino, C., Navalesi, R., Penno, G., Miccoli, R., Nannipieri, M., Manfredi, S., Ghirlanda, G., Cotroneo, P., Manto, A., Teodonio, C., Minnella, A., Ward, J.D., Tesfaye, S., Mody, C., Rudd, C., Molinatti, G.M., Vitelli, F., Porta, M., Pagano, G.F., Cavallo Perin, P., Estivi, P., Sivieri, R., Carta, Q., Petraroli, G., Papazoglou, N., Manes, G., Triantaphyllou, G., Ioannides, A., Muggeo, M., Cacciatori, V., Bellavere, F., Galante, P., Gemma, M.L., Irsigler, K., Abrahamian, H., Gurdet, C., Hornlein, B., Willinger, C., Walford, S., Wardle, E.V., Roglic, G., Resman, Z., Metelko, Z., Skrabalo, Z., Sjølie, Anne Katrin, Stephenson, Judith, Aldington, Steve, Kohner, Eva, Janka, Hans, Stevens, Lynda, and Fuller, John

Published
1997
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11. A labeled data set of underwater images of fish and crab species from five mesohabitats in Puget Sound WA USA.

Author

Farrell DM, Ferriss B, Sanderson B, Veggerby K, Robinson L, Trivedi A, Pathak S, Muppalla S, Wang J, Morris D, and Dodhia R

Subjects
Animals, Aquaculture, Ecosystem, Fisheries, Brachyura, Fishes
Abstract

The sustainable management of fisheries and aquaculture requires an understanding of how these activities interact with natural fish populations. GoPro cameras were used to collect an underwater video data set on and around shellfish aquaculture farms in an estuary in the NE Pacific from June to August 2017 and June to August 2018 to better understand habitat use by the local fish and crab communities. Images extracted from these videos were labeled to produce a data set that is suitable for use in training computer vision models. The labeled data set contains 77,739 images sampled from the collected video; 67,990 objects (fishes and crustaceans) have been annotated in 30,384 images (the remainder have been annotated as "empty"). The metadata of the data set also indicates whether a physical magenta filter was used during video collection to counteract reduced visibility. These data have the potential to help researchers address system-level and in-depth regional shellfish aquaculture questions related to ecosystem services and shellfish aquaculture interactions., (© 2023. The Author(s).)

Published
2023
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12. Risk factors for coronary heart disease in type 1 diabetic patients in Europe: the EURODIAB Prospective Complications Study.

Author

Soedamah-Muthu SS, Chaturvedi N, Toeller M, Ferriss B, Reboldi P, Michel G, Manes C, and Fuller JH

Subjects
Adult, Age Factors, Albuminuria, Blood Pressure, Cross-Sectional Studies, Diabetes Mellitus, Type 1 physiopathology, Europe epidemiology, Female, Humans, Male, Multivariate Analysis, Proportional Hazards Models, Risk Factors, Smoking, Time Factors, Coronary Disease epidemiology, Diabetes Mellitus, Type 1 epidemiology, Diabetic Angiopathies epidemiology
Abstract

Objective: The goal of the study was to examine risk factors in the prediction of coronary heart disease (CHD) and differences in men and women in the EURODIAB Prospective Complications Study., Research Design and Methods: Baseline risk factors and CHD at follow-up were assessed in 2,329 type 1 diabetic patients without prior CHD. CHD was defined as physician-diagnosed myocardial infarction, angina pectoris, coronary artery bypass graft surgery, and/or Minnesota-coded ischemic electrocardiograms or fatal CHD., Results: There were 151 patients who developed CHD, and the 7-year incidence rate was 8.0 (per 1,000 person-years) in men and 10.2 in women. After adjustment for age and/or duration of diabetes, the following risk factors were related to CHD in men: age, GHb, waist-to-hip ratio (WHR), HDL cholesterol, smoking, albumin excretion rate (AER), and autonomic neuropathy. The following risk factors were related to CHD in women: age, systolic blood pressure (BP), fasting triglycerides, AER, and retinopathy. Multivariate standardized Cox proportional hazards models showed that age (hazard ratio 1.5), AER (1.3 in men and 1.6 in women), WHR (1.3 in men), smoking (1.5 in men), fasting triglycerides (1.3 in women) or HDL cholesterol (0.74 in women), and systolic BP (1.3 in women) were predictors of CHD., Conclusions: This study supports the evidence for a strong predictive role of baseline albuminuria in the pathogenesis of CHD in type 1 diabetes. Furthermore, sex-specific risk factors such as systolic BP, fasting triglycerides (or HDL cholesterol), and WHR were found to be important in the development of CHD.

Published
2004
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