Clinical epidemiology and CKD 1-5
Notice bibliographique
Résumé
Introduction and Aims: To examine the relationship of birthweight, and prematurity, to risk factors and markers for chronic kidney disease (CKD) in postnatal life.Methods: The AusDiab study is a longitudinal study where baseline data on 11,247 participants, aged = 25 years, were collected in 1999-2000.During the 2004-05 follow-up AusDiab survey, questions about birthweight were included.Also, we approached four hundred and twelve CKD patients, and 339 agreed to participate in the study.The patients filled the same questionnaire as was included in the AusDiab study.Medical records were reviewed to check the diagnoses, causes of kidney disease and SCr levels.Two control subjects, matched for gender and age, were selected for each CKD patient from participants in the AusDiab study who reported their birthweight.Also, we studied children and teenage subjects of a cohort, of VLBW due to prematurity.This cohort and a control group were enrolled in our study.Data were collected from participants, their medical records and clinical examination and laboratory investigations.Results: eGFR was strongly and positively associated with birthweight, with a predicted increase of 2.6 ml/min (CI 2.1, 3.2) and 3.8 (3.0, 4.5) for each kg of birthweight for females and males, respectively.The OR (CI) for low eGFR (<61.0 ml/min for females and < 87.4 males) in people of LBW compared with those of NBW was 2.04 (1.45, 2.88) for females and 3.4 (2.11, 5.36) for males.189 chronic kidney disease (CKD) patients reported their birthweight; 106 were male.Their age was 60.3(15) years.Their mean birthweight was 3.27 (0.62) kg, vs 3.46 (0.6) kg for their AusDiab controls, p<0.001 and the proportions with birthweight<2.5 kg were 12.17% and 4.44%, p<0.001.Among CKD patients, 22.8%, 21.7%, 18% and 37.6% were in CKD stages 2, 3, 4 and 5 respectively.Birthweights by CKD stage and their AusDiab controls were as follows: 3.38 (0.52) vs 3.49 (0.52), p=0.251 for CKD2; 3.28 (0.54) vs 3.44 (0.54), p=0.121 for CKD3; 3.19 (0.72) vs 3.43 (0.56), p= 0.112 for CKD4 and 3.09 (0.65) vs 3.47 (0.67), p=<0.001 for CKD5.37 premature children (17 girls) of premature cohort children and 23 full term children (9 girls) were consented for clinical examination, urine, blood and ultrasound examinations of their children.Kidney volume was calculated using the ellipsoid formula: volume (ml) = [length x widthx (depth1+depth2)/2)] × 0.523.The gestational age for preterm cohort was 26.7 (2.6) and ranged from 23 to 35 weeks.Their birthweight was 867 (248) grams vs. 3433 (285) for full term babies.The age of premature children was 12.1(3.8)years vs. 11.5 (3.5) years for full term children.Children born prematurely had lower lower kidney volumes (99.7 ml (89.3, 110) vs. 131 (111, 151), P=0.01 and lower eGFR (87.0 (78.5, 113) vs. 113 (99.1, 128), p<0.001.Kidney volume correlated well with eGFR (0.83).Conclusions: In an affluent Western country with a good adult health profile, LBW people were predisposed to higher rates of lower eGFR in later life.In all instances it would be prudent to adopt policies of intensified whole of life surveillance of lower birthweight people, anticipating this risk.The general public awareness of the effect of LBW on development of chronic diseases in later life is of vital importance.The general public, in addition to the awareness of people in medical practice of the role of LBW, will set a trend towards a better management of this group of our population that is increasingly surviving into adulthood.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,007 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».