Baldrighi Marco, Sainaghi Pier P, Bellan Mattia, Bartoli Ettore, Castello Luigi M
Department of Translational Medicine, Universita del Piemonte Orientale, Novara, Italy.
Division of Internal Medicine, Maggiore della Carità University Hospital, Novara, Italy.
Curr Diabetes Rev. 2018;14(6):534-541. doi: 10.2174/1573399814666180320091451.
Although hypovolemia remains the most relevant problem during acute decompensated diabetes in its clinical manifestations (diabetic ketoacidosis, DKA, and hyperglycemic hyperosmolar state, HHS), the electrolyte derangements caused by the global hydroelectrolytic imbalance usually complicate the clinical picture at presentation and may be worsened by the treatment itself.
This review article is focused on the management of dysnatremias during hyperglycemic hyperosmolar state with the aim of providing clinicians a useful tool to early identify the sodium derangement in order to address properly its treatment.
The plasma sodium concentration is modified by most of the therapeutic measures commonly required in such patients and the physician needs to consider these interactions when treating HHS. Moreover, an improper management of plasma sodium concentration (PNa+) and plasma osmolality during treatment has been associated with two rare potentially life-threatening complications (cerebral edema and osmotic demyelination syndrome). Identifying the correct composition of the fluids that need to be infused to restore volume losses is crucial to prevent complications.
A quantitative approach based on the comparison between the measured PNa+ (PNa+ M) and the PNa+ expected in the presence of an exclusive water shift (PNa+ G) may provide more thorough information about the true hydroelectrolytic status of the patient and may therefore, guide the physician in the initial management of HHS. On the basis of data derived from our previous studies, we propose a 7-step algorithm to compute an accurate estimate of PNa+ G.
尽管在急性失代偿性糖尿病的临床表现(糖尿病酮症酸中毒、DKA,以及高血糖高渗状态、HHS)中,血容量不足仍然是最相关的问题,但由整体水电解质失衡引起的电解质紊乱通常会使就诊时的临床情况复杂化,并且治疗本身可能会使其恶化。
这篇综述文章聚焦于高血糖高渗状态下的钠紊乱管理,旨在为临床医生提供一个有用的工具,以便早期识别钠紊乱,从而正确地进行治疗。
这类患者通常需要的大多数治疗措施都会改变血浆钠浓度,医生在治疗HHS时需要考虑这些相互作用。此外,治疗期间血浆钠浓度(PNa+)和血浆渗透压管理不当与两种罕见的潜在危及生命的并发症(脑水肿和渗透性脱髓鞘综合征)相关。确定需要输注以补充容量损失的液体的正确成分对于预防并发症至关重要。
基于实测PNa+(PNa+M)与仅存在水转移时预期的PNa+(PNa+G)之间比较的定量方法,可能会提供有关患者真正水电解质状态的更全面信息,因此可以指导医生对HHS进行初始管理。根据我们之前研究得出的数据,我们提出了一个7步算法来准确估算PNa+G。