본문 바로가기
KERD
논문KCI 등재

Prediction of the Duration to Next Admission for an Acute Affective Episode in Patients with Bipolar I Disorder

2

조회

0

다운로드

1

인용

0

참고문헌

키워드

초록

Objective: Predicting disease relapse and early intervention could reduce symptom severity. We attempted to identify potential indicators that predict the duration to next admission for an acute affective episode in patients with bipolar I disorder. Methods: We mathematically defined the duration to next psychiatric admission and performed single-variate regressions using historical data of 101 patients with bipolar I disorder to screen for potential variables for further multivariate regressions. Results: Age of onset, total psychiatric admissions, length of lithium use, and carbamazepine use during the psychiatric hospitalization contributed to the next psychiatric admission duration positively. The all-in-one found that hyperlipidemia during the psychiatric hospitalization demonstrated a negative contribution to the duration to next psychiatric admission; the last duration to psychiatric admission, lithium and carbamazepine uses during the psychiatric hospitalization, and heart rate on the discharge day positively contributed to the duration to next admission. Conclusion: We identified essential variables that may predict the duration of bipolar I patients’ next psychiatric admission. The correlation of a faster heartbeat and a normal lipid profile in delaying the next onset highlights the importance of managing these parameters when treating bipolar I disorder.

Abstract

Objective: Predicting disease relapse and early intervention could reduce symptom severity. We attempted to identify potential indicators that predict the duration to next admission for an acute affective episode in patients with bipolar I disorder. Methods: We mathematically defined the duration to next psychiatric admission and performed single-variate regressions using historical data of 101 patients with bipolar I disorder to screen for potential variables for further multivariate regressions. Results: Age of onset, total psychiatric admissions, length of lithium use, and carbamazepine use during the psychiatric hospitalization contributed to the next psychiatric admission duration positively. The all-in-one found that hyperlipidemia during the psychiatric hospitalization demonstrated a negative contribution to the duration to next psychiatric admission; the last duration to psychiatric admission, lithium and carbamazepine uses during the psychiatric hospitalization, and heart rate on the discharge day positively contributed to the duration to next admission. Conclusion: We identified essential variables that may predict the duration of bipolar I patients’ next psychiatric admission. The correlation of a faster heartbeat and a normal lipid profile in delaying the next onset highlights the importance of managing these parameters when treating bipolar I disorder.

참고문헌 (39)

  1. Rowland TA, "Epidemiology and risk factors for bipolar disorder", Ther Adv Psychopharmacol, 8, pp.251~269 (2018)
  2. Conus P, "Public health significance of bipolar disorder : implications for early intervention and prevention", Bipolar Disord, 16, pp.548~556 (2014)
  3. Helminen O, "OGTT and random plasma glucose in the prediction of type 1 diabetes and time to diagnosis", Diabetologia, 58, pp.1787~1796 (2015)
  4. Axelson D, "Diagnostic precursors to bipolar disorder in offspring of parents with bipolar disorder : a longitudinal study", Am J Psychiatry, 172, pp.638~646 (2015)
  5. Campbell DD, "Multifactorial disease risk calculator : risk prediction for multifactorial disease pedigrees", Genet Epidemiol, 42, pp.130~133 (2018)
  6. Chen MH, "Risk and coaggregation of major psychiatric disorders among firstdegree relatives of patients with bipolar disorder : a nationwide population-based study", Psychol Med, 49, pp.2397~2404 (2019)
  7. Björnson E, "Personalized cardiovascular disease prediction and treatment-a review of existing strategies and novel systems medicine tools", Front Physiol, 7, pp.2~ (2016)
  8. Mihai S, "Inflammation-related mechanisms in chronic kidney disease prediction, progression, and outcome", J Immunol Res, 2018, pp.2180373~ (2018)
  9. Carlson GA, "Understanding early age of onset : a review of the last 5 years", Curr Psychiatry Rep, 18, pp.114~ (2016)
  10. Malhi GS, "Predicting bipolar disorder on the basis of phenomenology : implications for prevention and early intervention", Bipolar Disord, 16, pp.455~470 (2014)
  11. Zeschel E, "The bipolar disorder prodrome revisited : Is there a symptomatic pattern?", J Affect Disord, 151, pp.551~560 (2013)
  12. Kuo A, "Secure messaging in electronic health records and its impact on diabetes clinical outcomes : a systematic review", Telemed J E Health, 22, pp.769~777 (2016)
  13. Pal K, "Computer-based interventions to improve self-management in adults with type 2 diabetes : a systematic review and meta-analysis", Diabetes Care, 37, pp.1759~1766 (2014)
  14. Rathbone AL, "The use of mobile apps and SMS messaging as physical and mental health interventions : systematic review", J Med Internet Res, 19, pp.e295~ (2017)
  15. Charles EF, "Bipolar disorder and diabetes mellitus : evidence for disease-modifying effects and treatment implications", Int J Bipolar Disord, 4, pp.13~ (2016)
  16. McElroy SL, "Obesity, but not metabolic syndrome, negatively affects outcome in bipolar disorder", Acta Psychiatr Scand, 133, pp.144~153 (2016)
  17. Phillips ML, "Bipolar disorder diagnosis : challenges and future directions", Lancet, 381, pp.1663~1671 (2013)
  18. "Regarding overweight and obesity"[URL]
  19. Biel MG, "Continuation versus discontinuation of lithium in recurrent bipolar illness : a naturalistic study", Bipolar Disord, 9, pp.435~442 (2007)
  20. Coryell W, "Age of onset and the prospectively observed course of illness in bipolar disorder", J Affect Disord, 146, pp.34~38 (2013)
  21. Baptista T, "Metabolic syndrome and related variables, insulin resistance, leptin levels, and PPAR-γ2 and leptin gene polymorphisms in a pedigree of subjects with bipolar disorder", Braz J Psychiatry, 37, pp.106~112 (2015)
  22. Bonaccorso S, "The brain-derived neurotrophic factor(BDNF)Val66Met polymorphism is associated with increased body mass index and insulin resistance measures in bipolar disorder and schizophrenia", Bipolar Disord, 17, pp.528~535 (2015)
  23. Hukic DS, "Melatonin receptor 1B gene associated with hyperglycemia in bipolar disorder", Psychiatr Genet, 26, pp.136~139 (2016)
  24. Li CT, "Peripheral and central glucose utilizations modulated by mitochondrial DNA 10398A in bipolar disorder", Psychoneuroendocrinology, 55, pp.72~80 (2015)
  25. Coello K, "Metabolic profile in patients with newly diagnosed bipolar disorder and their unaffected first-degree relatives", Int J Bipolar Disord, 7, pp.8~ (2019)
  26. Mansur RB, "Impaired glucose metabolism moderates the course of illness in bipolar disorder", J Affect Disord, 195, pp.57~62 (2016)
  27. Cairns K, "Course of bipolar illness worsens after onset of insulin resistance", J Psychiatr Res, 102, pp.34~37 (2018)
  28. Steardo L Jr, "Impaired glucose metabolism in bipolar patients and response to mood stabilizer treatments", J Affect Disord, 245, pp.174~179 (2019)
  29. Huang YJ, "State-dependent alterations of lipid profiles in patients with bipolar disorder", Int J Psychiatry Med, 53, pp.273~281 (2018)
  30. Tunçel ÖK, "Adipocytokines and ghrelin level of bipolar patients from manic episode to euthymic episode", Nord J Psychiatry, 72, pp.150~156 (2018)
  31. Reidy SP, "Leptin : an essential regulator of lipid metabolism", Comp Biochem Physiol A Mol Integr Physiol, 125, pp.285~298 (2000)
  32. Al-Suhaimi EA, "Leptin, resistin and visfatin : the missing link between endocrine metabolic disorders and immunity", Eur J Med Res, 18, pp.12~ (2013)
  33. Sangiao-Alvarellos S, "Central ghrelin regulates peripheral lipid metabolism in a growth hormone-independent fashion", Endocrinology, 150, pp.4562~4574 (2009)
  34. Latalova K, "Autonomic nervous system in euthymic patients with bipolar affective disorder", Neuro Endocrinol Lett, 31, pp.829~836 (2010)
  35. Nurnberger JI Jr, "Identification of pathways for bipolar disorder : a meta-analysis", JAMA Psychiatry, 71, pp.657~664 (2014)
  36. Starnawska A, "CACNA1C hypermethylation is associated with bipolar disorder", Transl Psychiatry, 6, pp.e831~ (2016)
  37. Soeiro-de-Souza MG, "The CACNA1C risk allele rs1006737 is associated with age-related prefrontal cortical thinning in bipolar I disorder", Transl Psychiatry, 7, pp.e1086~ (2017)
  38. McCarthy MJ, "A common genetic variant in CACNA1C predicts heart rate in patients with bipolar disorder", Psychiatry Res, 263, pp.294~295 (2018)
  39. Mehta N, "Lithium-induced electrocardiographic changes : a complete review", Clin Cardiol, 40, pp.1363~1367 (2017)

관련 논문AI추천

Predictors of a Shorter Time to Hospitalization in Patients with Bipolar Disorder: Medication during the Acute and Maintenance Phases and Other Clinical FactorsHee Ryung Wang, In Hee Shim, Won-Myong Bahk, Young Sup Woo대한정신약물학회 · Clinical Psychopharmacology and Neuroscience2017 · 제15권 제3호Arterial Stiffness in Patients with Bipolar DisorderAslı Kazgan Kılıçaslan, Burcu Sırlıer Emir, Gülhan Kılıçaslan, Osman Kurt, Sevler Yildiz대한정신약물학회 · Clinical Psychopharmacology and Neuroscience2023 · 제21권 제3호양극성 장애, 조증 삽화 입원 환자에서 조증 증상 경과 예측과 관련있는 임상 변인 연구김채리, 박진완, 백두현, 우성일, 이연정, 한상우, 황재욱대한생물치료정신의학회 · 생물치료정신의학2017 · 제23권 제3호Staging Models in Bipolar Disorder: A Systematic Review of the LiteratureAther Muneer대한정신약물학회 · Clinical Psychopharmacology and Neuroscience2016 · 제14권 제2호Lithium and Valproate in Bipolar Disorder: From International Evidence-based Guidelines to Clinical PredictorsCalogero Crapanzano, Chiara Amendola, Ilaria Casolaro, Stefano Damiani대한정신약물학회 · Clinical Psychopharmacology and Neuroscience2022 · 제20권 제3호Effect of the Dysbindin Gene on Antimanic Agents in Patients with Bipolar I DisorderAlessandro Serretti, Antonio Drago, Ashwin A. Patkar, Chi-Un Pae, Diana De Ronchi, Dong-Hwan Yun, In Ho Paik, Jung-Jin Kim, Laura Mandelli대한신경정신의학회 · PSYCHIATRY INVESTIGATION2008 · 제5권 제2호

이 간행물의 다른 논문 (19건)