A 4 year-old Girl with Diabetic Ketoacidosis and Lipemic Blood
Notice bibliographique
Résumé
A 4-year-old previously healthy girl presents to the emergency department with a 1-month history of vague abdominal pain, constipation, and a 5.5-lb (2.5 kg) weight loss. She then developed polydipsia, polyuria, and fatigue for 1 week. There were no infectious or neurologic symptoms. On examination she had dry mucous membranes and a nontender abdomen without hepatomegaly. Initial investigations were diagnostic for diabetic ketoacidosis (DKA) with a blood glucose of 901 mg/dL (50 mmol/L), serum pH of 7.28, and a bicarbonate of 11.9 mEq/L (mmol/L). However, it was noted that the blood specimen was profoundly lipemic. The patient was admitted to the hospital for management of DKA and investigation for lipemia.Due to difficulty processing the sample, serum lipids levels were not accurately measured for 3 days, but the first available measurement showed a serum triglyceride of 5,938 mg/dL (67.1 mmol/L) and a total cholesterol of 1,227 mg/dL (13.87 mmol/L). There was a strong family history of autoimmunity and thyroid disease, but no significant early cardiovascular disease or hyperlipidemia. She had a typical diet, no prior medications, and no physical manifestations of hyperlipidemia including xanthelasma or cutaneous xanthomas. The patient received the standard hospital treatment protocol for DKA, but it was noted her hyperglycemia appeared slow to resolve despite ongoing intravenous fluid resuscitation following DKA resolution. She did not develop pancreatitis, and her lipid levels rapidly decreased following insulin therapy.Severe hypertriglyceridemia (HTG) has been defined as a serum triglyceride level of greater than 886 mg/dL (10 mmol/L), whereas extreme HTG is greater than 2,000 mg/dL (22.6 mmol/L). (1)(2) Extreme HTG can be due to genetic disorders of lipid metabolism; however, the majority of cases are secondary to other diseases or medications. A 2018 study of 36 children with extreme HTG found that only 14% had genetic disorders of lipid metabolism. The most common cause of extreme HTG was poorly controlled diabetes mellitus (30%), followed by the use of L-asparaginase and steroids in chemotherapy (28%), and calcineurin inhibitors postsolid organ transplant (14%). (1) There are also case reports of extreme HTG secondary to end-stage renal disease, uncontrolled hypothyroidism, and other medications such as human immunodeficiency virus antiretrovirals and propofol. (1) Secondary HTG is typically transient once the inciting cause is removed. It is important to consider genetic disorders of lipid metabolism in patients with a significant family history of early cardiovascular events and hyperlipidemia, or in children with persistently abnormal serum lipids. (3) These patients may require referral to pediatric endocrinology and genetic evaluation. It is thought that some patients who develop severe HTG may have a genetic predisposition leading to a dramatic response to a secondary cause. (1)Patients in DKA develop increased lipolysis due to increased counterregulatory hormones such as catecholamines, cortisol, and glucagon in an insulin-deficient state. Trials have shown that most patients in DKA will have mild to moderate elevations in serum lipid levels that improve with insulin therapy. (4) Two case series in adults showed that between 8% and 11% of patients in DKA developed severe HTG. (3)(5) There are several similar case reports of these findings in children, however, to our knowledge, this patient was the youngest reported case. (6)(7)(8)(9)(10)(11)(12)(13)Long-term HTG is associated with increased risk of cardiovascular disease. Acutely, the most significant consequence of severe HTG is acute pancreatitis. The risk of acute pancreatitis significantly increases with triglycerides greater than 973 mg/dL (11 mmol/L). (2) One study found that 36% of children with extreme HTG developed acute pancreatitis, whereas a larger of study of adults found 50% of patients with severe HTG in DKA developed acute pancreatitis. (1)(5) It is important to note that all patients in DKA are at an increased risk of acute pancreatitis, and that acute pancreatitis can also precipitate DKA by decreasing pancreatic reserve. Other complications of severe and extreme HTG include cutaneous eruptions, thrombosis, and inaccurate laboratory measurements. (2)(14)As in this case, laboratory inaccuracies secondary to the HTG may result in apparent difficulties correcting DKA. Although laboratories will clarify blood samples prior to analyzing results, lipemic specimens can artificially elevate serum glucose measurements, while artificially lowering sodium, chloride, and potassium values. (15)(16) Point of care glucometers in contrast may show pseudohypoglycemia. (17)Serum HTG can often be managed by removing the offending cause. Patients should be placed on a low-fat diet and, when appropriate, counseled to increase physical activity. Medications such as statins or fibrates may be considered for persistent severe HTG to reduce the risk of pancreatitis. (2) For severe or refractory cases, plasmapheresis has been used, and can reduce serum triglycerides by half. (18)For our patient case, pediatric endocrinology was consulted. Given the lack of a family history and the rapid improvement with insulin, it was thought that extreme HTG secondary to DKA was the most likely diagnosis. One month after discharge, serum lipids had entirely normalized, and genetic testing was not pursued.The authors thank the patient’s family for allowing them to share this case.
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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 tête enseignante, 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 ».