{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T05:28:44Z","timestamp":1787030924245,"version":"build-2736575974"},"reference-count":25,"publisher":"AOSIS","issue":"1","license":[{"start":{"date-parts":[[2025,6,13]],"date-time":"2025-06-13T00:00:00Z","timestamp":1749772800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"abstract":"<jats:p>Background: Diabetic ketoacidosis is a life-threatening complication requiring prompt intervention. Understanding factors influencing the duration of emergency department (ED) stay is essential for optimising patient care and resource utilisation.\n\nMethods: A retrospective review was conducted on patients diagnosed with diabetic ketoacidosis at a regional hospital in KwaZulu-Natal between March 2022 and March 2023. Demographics, precipitants, severity, potassium levels and time to resolution were analysed to determine correlations between these variables and the duration of stay in the ED.\n\nResults: Of the 156 records, 105 met the inclusion criteria. The mean age was 36.8 years, with 51.4% male and 98.1% of black ethnicity. Poor compliance (37.1%) and infection (31.4%) were the commonest precipitants. Longer durations in the ED (16.2 h, p = 0.007) were linked to cases with unknown precipitants. The median stay was 6 h\u201312 h, with infection linked to the longest mean duration (10.1 h). Recurrent episodes occurred in 38.1% of patients. Severe diabetic ketoacidosis (13.0 hours, p = 0.001) and a lower pH at presentation (\u03b2 = \u201319.6, p &lt; 0.001) were significantly associated with prolonged time to resolution. Potassium abnormalities (29.5%) had no significant effect on duration of stay (p = 0.775).\n\nConclusion: Unknown precipitants significantly influenced the length of stay in the ED. Infection, severe acidosis, and hypokalaemia contributed with variable significance, highlighting that targeted interventions may potentially reduce congestion in these settings.\n\nContribution: This study provides valuable insights into factors influencing ED length of stay for diabetic ketoacidosis patients, offering evidence to improve clinical management and resource allocation in regional hospitals.<\/jats:p>","DOI":"10.4102\/jcmsa.v3i1.200","type":"journal-article","created":{"date-parts":[[2025,6,12]],"date-time":"2025-06-12T07:39:41Z","timestamp":1749713981000},"update-policy":"https:\/\/doi.org\/10.4102\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["The dawdle, dally and delay of diabetic ketoacidosis: Decoding the emergency department length of stay \u2013 A chart review"],"prefix":"10.4102","volume":"3","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9427-8887","authenticated-orcid":false,"given":"Raees","family":"Gangat","sequence":"first","affiliation":[{"id":[{"id":"https:\/\/ror.org\/04qzfn040","id-type":"ROR","asserted-by":"publisher"}],"name":"University of KwaZulu-Natal"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1905-1716","authenticated-orcid":false,"given":"Nicholas J.","family":"Dufourq","sequence":"additional","affiliation":[{"id":[{"id":"https:\/\/ror.org\/04qzfn040","id-type":"ROR","asserted-by":"publisher"}],"name":"University of KwaZulu-Natal"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3121-8454","authenticated-orcid":false,"given":"Duncan M.","family":"Havenga","sequence":"additional","affiliation":[{"id":[{"id":"https:\/\/ror.org\/04qzfn040","id-type":"ROR","asserted-by":"publisher"}],"name":"University of KwaZulu-Natal"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2580","published-online":{"date-parts":[[2025,6,13]]},"reference":[{"key":"ref0","unstructured":"Amod A. Society for Endocrinology, Metabolism and Diabetes of South Africa (SEMDSA) 2017 guidelines for the management of type 2 diabetes mellitus. J Endocrinol Metabol Diabetes South Afr. 2017;22(1):S64."},{"key":"ref1","doi-asserted-by":"crossref","unstructured":"Umpierrez GE, Davis GM, ElSayed NA, et al. Hyperglycemic crises in adults with diabetes: A consensus report. Diabetes Care. 2024;47(8):1257\u20131275. https:\/\/doi.org\/10.2337\/dci24-0032","DOI":"10.2337\/dci24-0032"},{"key":"ref2","doi-asserted-by":"crossref","unstructured":"Ndebele NFM, Naidoo M. The management of diabetic ketoacidosis at a rural regional hospital in KwaZulu-Natal. Afr J Prim Health Care Fam Med. 2018;10(1):e1\u2013e6. https:\/\/doi.org\/10.4102\/phcfm.v10i1.1612","DOI":"10.4102\/phcfm.v10i1.1612"},{"key":"ref3","doi-asserted-by":"crossref","unstructured":"Carter EJ, Pouch SM, Larson EL. The relationship between emergency department crowding and patient outcomes: A systematic review. J Nurs Scholarsh. 2014;46(2):106\u2013115. https:\/\/doi.org\/10.1111\/jnu.12055","DOI":"10.1111\/jnu.12055"},{"key":"ref4","doi-asserted-by":"crossref","unstructured":"Mashao K, Heyns T, White Z. Areas of delay related to prolonged length of stay in an emergency department of an academic hospital in South Africa. Afr J Emerg Med. 2021;11(2):237\u2013241. https:\/\/doi.org\/10.1016\/j.afjem.2021.02.002","DOI":"10.1016\/j.afjem.2021.02.002"},{"key":"ref5","doi-asserted-by":"crossref","unstructured":"Gangakhedkar G. Diabetic ketoacidosis and intensive care. J Res Innov Anesth. 2019;4:29\u201331. https:\/\/doi.org\/10.5005\/jp-journals-10049-0072","DOI":"10.5005\/jp-journals-10049-0072"},{"key":"ref6","unstructured":"LM L. Games people play: Lessons on performance measure gaming from New Zealand comment on \u2018Gaming New Zealand\u2019s emergency department target: How and why did it vary over time and between organisations?. Int J Health Policy Manag. 2021;10(4):225\u2013227."},{"key":"ref7","doi-asserted-by":"crossref","unstructured":"Geelhoed GC, De Klerk NH. Emergency department overcrowding, mortality and the 4-hour rule in Western Australia. Med J Aust. 2012;196(2):122\u2013126. https:\/\/doi.org\/10.5694\/mja11.11159","DOI":"10.5694\/mja11.11159"},{"key":"ref8","doi-asserted-by":"crossref","unstructured":"Weber E, Mason S, Freeman J, Coster J. Implications of England\u2019s four-hour target for quality of care and resource use in the emergency department. Ann Emerg Med. 2012;60(6):699\u2013706. https:\/\/doi.org\/10.1016\/j.annemergmed.2012.08.009","DOI":"10.1016\/j.annemergmed.2012.08.009"},{"key":"ref9","unstructured":"Brutsaert EF. Alcoholic ketoacidosis MSD manual professional edition: MSD manual. New Jersey: Merck & Co.; 2023."},{"key":"ref10","unstructured":"Microsoft. Microsoft Excel. 2307 ed. Washington, USA: Microsoft Corporation; 2016."},{"key":"ref11","unstructured":"IBM. IBM SPSS statistics. 30 ed. Armonk: IBM Corp; 2023."},{"key":"ref12","doi-asserted-by":"crossref","unstructured":"Barski L, Harman-Boehm I, Nevzorov R, et al. Gender-related differences in clinical characteristics and outcomes in patients with diabetic ketoacidosis. Gend Med. 2011;8(6):372\u2013377. https:\/\/doi.org\/10.1016\/j.genm.2011.09.032","DOI":"10.1016\/j.genm.2011.09.032"},{"key":"ref13","doi-asserted-by":"crossref","unstructured":"Wang ZH, Kihl-Selstam E, Eriksson JW. Ketoacidosis occurs in both Type 1 and Type 2 diabetes \u2013 A population-based study from Northern Sweden. Diabet Med. 2008;25(7):867\u2013870. https:\/\/doi.org\/10.1111\/j.1464-5491.2008.02461.x","DOI":"10.1111\/j.1464-5491.2008.02461.x"},{"key":"ref14","doi-asserted-by":"crossref","unstructured":"Lotter N, Lahri S, Van Hoving DJ. The burden of diabetic emergencies on the resuscitation area of a district-level public hospital in Cape Town. Afr J Emerg Med. 2021;11(4):416\u2013421. https:\/\/doi.org\/10.1016\/j.afjem.2021.05.004","DOI":"10.1016\/j.afjem.2021.05.004"},{"key":"ref15","unstructured":"Barski L, Nevzorov R, Rabaev E, et al. Diabetic ketoacidosis: Clinical characteristics, precipitating factors and outcomes of care. Isr Med Assoc J. 2012;14(5):299\u2013303."},{"key":"ref16","doi-asserted-by":"crossref","unstructured":"Randall L, Begovic J, Hudson M, et al. Recurrent diabetic ketoacidosis in inner-city minority patients: Behavioral, socioeconomic, and psychosocial factors. Diabetes Care. 2011;34(9):1891\u20131896. https:\/\/doi.org\/10.2337\/dc11-0701","DOI":"10.2337\/dc11-0701"},{"key":"ref17","doi-asserted-by":"crossref","unstructured":"Nam S, Chesla C, Stotts NA, Kroon L, Janson SL. Barriers to diabetes management: Patient and provider factors. Diabetes Res Clin Pract. 2011;93(1):1\u20139. https:\/\/doi.org\/10.1016\/j.diabres.2011.02.002","DOI":"10.1016\/j.diabres.2011.02.002"},{"key":"ref18","doi-asserted-by":"crossref","unstructured":"Thomas S, Mohamed NA, Bhana S. Audit of diabetic ketoacidosis management at a tertiary hospital in Johannesburg, South Africa. S Afr Med J. 2019;109(6):407\u2013411. https:\/\/doi.org\/10.7196\/SAMJ.2019.v109i6.13700","DOI":"10.7196\/SAMJ.2019.v109i6.13700"},{"key":"ref19","doi-asserted-by":"crossref","unstructured":"AlWahbi MF, Alharbi SH, Almesned SA, et al. An audit of factors impacting the time to resolution of the metabolic parameters in diabetic ketoacidosis patients. Cureus. 2022;14(11):e31142. https:\/\/doi.org\/10.7759\/cureus.31142","DOI":"10.7759\/cureus.31142"},{"key":"ref20","doi-asserted-by":"crossref","unstructured":"Lee MH, Calder GL, Santamaria JD, Maclsaac RJ. Diabetic ketoacidosis in adult patients: An audit of factors influencing time to normalisation of metabolic parameters. Intern Med J. 2018;48(5):529\u2013534. https:\/\/doi.org\/10.1111\/imj.13735","DOI":"10.1111\/imj.13735"},{"key":"ref21","doi-asserted-by":"crossref","unstructured":"Arora S, Cheng D, Wyler B, Menchine M. Prevalence of hypokalemia in ED patients with diabetic ketoacidosis. Am J Emerg Med. 2012;30(3):481\u2013484. https:\/\/doi.org\/10.1016\/j.ajem.2011.01.002","DOI":"10.1016\/j.ajem.2011.01.002"},{"key":"ref22","doi-asserted-by":"crossref","unstructured":"Rose L, Scales DC, Atzema C, et al. Emergency department length of stay for critical care admissions. A population-based study. Ann Am Thorac Soc. 2016;13(8):1324\u20131332. https:\/\/doi.org\/10.1513\/AnnalsATS.201511-773OC","DOI":"10.1513\/AnnalsATS.201511-773OC"},{"key":"ref23","unstructured":"Arkun A, Briggs WM, Patel S, Datillo PA, Bove J, Birkhahn RH. Emergency department crowding: Factors influencing flow. West J Emerg Med. 2010;11(1):10\u201315."},{"key":"ref24","doi-asserted-by":"crossref","unstructured":"Sabry AA, Alkafafy AM, Morsy EY, Aiad A, Montasser M. Factors affecting time to recovery from diabetic ketoacidosis in adult diabetic patients in Alexandria Main University Hospital. Egypt J Intern Med. 2024;36(1):99. https:\/\/doi.org\/10.1186\/s43162-024-00365-x","DOI":"10.1186\/s43162-024-00365-x"}],"container-title":["Journal of the Colleges of Medicine of South Africa"],"original-title":[],"deposited":{"date-parts":[[2025,7,1]],"date-time":"2025-07-01T04:04:20Z","timestamp":1751342660000},"score":1,"resource":{"primary":{"URL":"https:\/\/jcmsa.org.za\/index.php\/jcmsa\/article\/view\/200"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6,13]]},"references-count":25,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2025,6,13]]}},"URL":"https:\/\/doi.org\/10.4102\/jcmsa.v3i1.200","relation":{},"ISSN":["2960-110X"],"issn-type":[{"value":"2960-110X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,6,13]]},"article-number":"a200"}}