| 研究生: |
楊水河 Yaung, Shuei-He |
|---|---|
| 論文名稱: |
皮膚癌風險與噻嗪類利尿劑使用之相關性分析:回溯性世代追蹤研究 Association Between the Use of Thiazide Diuretics and the Risk of Skin Cancers: A population-based retrospective cohort study |
| 指導教授: |
賴嘉鎮
Lai, Edward Chia-Cheng |
| 共同指導: |
高淑敏
Kao, Su-Min |
| 學位類別: |
碩士 Master |
| 系所名稱: |
醫學院 - 臨床藥學與藥物科技研究所 Institute of Clinical Pharmacy and Pharmaceutical sciences |
| 論文出版年: | 2021 |
| 畢業學年度: | 109 |
| 語文別: | 英文 |
| 論文頁數: | 139 |
| 中文關鍵詞: | 皮膚癌 、氫氯噻嗪 、降血壓藥物 、台灣癌症登記資料庫 、健保資料庫 |
| 外文關鍵詞: | Skin cancer, Hydrochlorothiazide, Antihypertensive agents, Taiwan Cancer Registry Database, National Health Insurance Database |
| 相關次數: | 點閱:296 下載:0 |
| 分享至: |
| 查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報 |
研究背景:
隨著高血壓的盛行率越來越高,降血壓藥物的使用率也隨之逐年上升;然而於先前之丹麥研究1指出,Hydrochlorothiazide (HCTZ)的暴露可能會增加非黑色素皮膚癌之風險;然而有鑑於皮膚癌風險具有種族差異,且先前台灣之研究2指出Hydrochlorothiazide之使用並不會增加非黑色素皮膚癌發生,但該研究缺乏非黑色素皮膚癌組織學之分組,因此可能造成統計結果低估;本研究透過連結健保資料庫與癌症登記資料庫來取得組織學資料並分析HCTZ暴露與皮膚癌之相關性。
研究目的:
探討使用HCTZ與皮膚癌風險之相關性分析,本研究並額外將皮膚癌分成不同組織學包含鱗狀上皮細胞癌(Squamous cell carcinoma, SCC)、基底細胞癌(Basal cell carcinoma, BCC)以及惡性黑色素癌(Malignant melanoma, MM)來進行分析。
研究方法:
本研究納入2004-2015年間年齡大於20歲且初次使用降血壓藥物之患者,患者被納入後會計算前兩年藥物之降血壓藥物持有率(Medication possession ratio, MPR),並排除MPR小於80%之患者後,再分別根據降血壓藥物使用狀況分成下面四組 1) HCTZ、2)非HCTZ之thiazide類利尿劑、3) 非thiazide類利尿劑、4) 其他降血壓藥物,此外我們亦透過隨機抽樣之方式取得100萬人作為5) 控制組用來與治療組比較;各組納入後,再排除用藥前兩年發生排除條件之診斷以及使用免疫抑制劑大於6個月之患者;本研究的主要結果為非黑色素皮膚癌(BCC、SCC)在各組別之風險,另次要結果為各類別皮膚癌(SCC、BCC、MM)在不同組別之風險;患者自首次使用降血壓藥物兩年後開始追蹤,直到發生研究終點、死亡或是研究結束,且不同組別風險比會透過Cox-proportional hazard model進行分析。
研究結果:
本研究最後共納入828,375位患者於降血壓藥物組以及890,492位患者於控制組,於研究結果發現,HCTZ組相較於控制組具有較高之非黑色素皮膚癌風險(adjusted HR: 2.02; 95% CI, 1.48-2.75),於次要結果也發現HCTZ組對比控制組有較高之SCC(adjusted HR: 2.26; 95% CI 1.43-2.58)以及BCC風險(adjusted HR: 1.81; 95% CI 1.19-2.75),但相反的,在MM則無發現對比控制組有較高之風險(adjusted HR: 1.23, 95% 0.37-4.09);另外,本研究也發現HCTZ組在與其他降血壓藥物組之比較並無較高之NMSC風險,不論於HCTZ組對比其他非HCTZ之thiazide類利尿劑(adjusted HR: 1.00, 95% CI 0.70-1.42)、非thiazide類利尿劑(adjusted HR: 1.08, 95% CI 0.69-1.70)或是其他降血壓藥物(adjusted HR:1.02, 95% CI 0.80-1.30)。
結論:
本研究發現在台灣族群使用HCTZ對比其他降血壓藥物而言並不會增加NMSC之發生,此外亦發現台灣人皮膚癌發生率較高加索人種低,因此在考量藥物之潛在效果或風險時,不同種族之差異應一併納入考慮。
Rationale and background:
Studies predominantly based on Caucasian populations have reported that the use of hydrochlorothiazide (HCTZ) was associated with increased risk of non-melanoma skin cancer (NMSC), especially in squamous cell carcinoma. The assessment on HCTZ and associated risk of NMSC in Asian population are scarce. A case-control study from Taiwan has suggested no association between the use of HCTZ and skin cancers; however, it lacked the detailed analyses based on subtypes of skin cancers by histology.
Research question and objectives:
To evaluate the association between HCTZ and risk of skin cancers by various histologic subtypes, including basal cell carcinoma (BCC), squamous cell carcinoma (SCC), and malignant melanoma (MM).
Method:
A cohort of patients aged 20 years and older and newly receiving antihypertensive agents are identified from 2004 to 2015. Patients were classified into five groups: 1) hydrochlorothiazide (HCTZ), 2) thiazide diuretics other than HCTZ, 3) all diuretics other than thiazide group, 4) other antihypertensive agents other than diuretics, and 5) a control cohort comprising one million randomly sampled patients which are not be included in above cohort were selected for comparison. After patients enrolled, we excluded patients meet the exclusionary diagnosis and received immunosuppressants for above 6 months in the first 2 years of antihypertensive treatment. The primary endpoints were the non-melanoma skin cancer (NMSC) which includes basal cell carcinoma (BCC), squamous cell carcinoma (SCC). The secondary endpoints were the subtypes of skin cancers (SCC, BCC, and MM). We also performed intention-to-treat analysis and followed patients from 2 years after medication initiation until occurrence of study endpoints, death, or the end date of the database. Hazard ratios (HR) and 95% confidence intervals (CI) derived from Cox-proportional hazard models was used to compare the risks of study endpoints among the different groups.
Result:
We total identified 828,375 patients who received antihypertensive agents and 890,492 patients who are selected from NHID as our control cohort and we noted the risk of NMSC was higher in patients receiving HCTZ (adjusted HR: 2.02; 95% CI, 1.48-2.75) comparing with control cohort. The risks of SCC (adjusted HR: 2.26; 95% CI 1.43-2.58) and BCC (adjusted HR: 1.81; 95% CI 1.19-2.75) were also higher in patients receiving HCTZ comparing with control cohort. However, there is no difference on the risk of MM (adjusted HR: 1.23, 95% 0.37-4.09) between HCTZ group and control group. Specifically, we found there was no difference when comparing HCTZ group with other thiazide diuretics group (adjusted HR: 1.00, 95% CI 0.70-1.42), non-thiazide diuretics group (adjusted HR: 1.08, 95% CI 0.69-1.70), and other antihypertensive agents group (adjusted HR: 1.02, 95% CI 0.80-1.30) regarding the risk of NMSC.
Conclusion:
We found patients receiving HCTZ were not associated with an increased risk of NMSC comparing with those with other antihypertensive agents in Taiwan. The incidence rate of skin cancer was lower in the Taiwanese population comparing with Caucasians. The findings highlight the difference in drug effects among races and ethnicities.
1. Pedersen SA, Gaist D, Schmidt SAJ, Holmich LR, Friis S, Pottegard A. Hydrochlorothiazide use and risk of nonmelanoma skin cancer: A nationwide case-control study from Denmark. J Am Acad Dermatol. 2018;78(4):673-681 e679.
2. Pottegard A, Pedersen SA, Schmidt SAJ, et al. Use of hydrochlorothiazide and risk of skin cancer: a nationwide Taiwanese case-control study. Br J Cancer. 2019;121(11):973-978.
3. Guy GP, Jr., Machlin SR, Ekwueme DU, Yabroff KR. Prevalence and costs of skin cancer treatment in the U.S., 2002-2006 and 2007-2011. Am J Prev Med. 2015;48(2):183-187.
4. Gupta AK, Bharadwaj M, Mehrotra R. Skin Cancer Concerns in People of Color: Risk Factors and Prevention. Asian Pac J Cancer Prev. 2016;17(12):5257-5264.
5. Linares MA, Zakaria A, Nizran P. Skin Cancer. Prim Care. 2015;42(4):645-659.
6. Chiang CJ, Lo WC, Yang YW, You SL, Chen CJ, Lai MS. Incidence and survival of adult cancer patients in Taiwan, 2002-2012. J Formos Med Assoc. 2016;115(12):1076-1088.
7. Orthaber K, Pristovnik M, Skok K, Perić B, Maver U. Skin Cancer and Its Treatment: Novel Treatment Approaches with Emphasis on Nanotechnology. Journal of Nanomaterials. 2017;2017:1-20.
8. Domingues B, Lopes JM, Soares P, Populo H. Melanoma treatment in review. Immunotargets Ther. 2018;7:35-49.
9. Green AC, Olsen CM. Cutaneous squamous cell carcinoma: an epidemiological review. Br J Dermatol. 2017;177(2):373-381.
10. Rastrelli M, Tropea S, Rossi CR, Alaibac M. Melanoma: epidemiology, risk factors, pathogenesis, diagnosis and classification. In Vivo. 2014;28(6):1005-1011.
11. Narayanan DL, Saladi RN, Fox JL. Review: Ultraviolet radiation and skin cancer. International Journal of Dermatology. 2010;49(9):978-986.
12. Holm-Schou AS, Philipsen PA, Idorn LW, Thieden E, Wulf HC. Lifetime UVR Dose and Skin Cancer Risk, Determined by Their Common Relation to Solar Lentigines. Anticancer Res. 2020;40(1):557-564.
13. Leiter U, Garbe C. Epidemiology of melanoma and nonmelanoma skin cancer--the role of sunlight. Adv Exp Med Biol. 2008;624:89-103.
14. Kallini JR, Hamed N, Khachemoune A. Squamous cell carcinoma of the skin: epidemiology, classification, management, and novel trends. Int J Dermatol. 2015;54(2):130-140.
15. Euvrard S, Kanitakis J, Claudy A. Skin cancers after organ transplantation. N Engl J Med. 2003;348(17):1681-1691.
16. O'Leary MA, Wang SJ. Epidemiology and Prevention of Cutaneous Cancer. Otolaryngol Clin North Am. 2021;54(2):247-257.
17. Wang CC, Tang CH, Huang SY, Huang KC, Sue YM. Risk of Non-melanoma Skin Cancer in Patients with Chronic Kidney Disease and its Relationship to Uraemic Pruritus. Acta Derm Venereol. 2017;97(10):1230-1234.
18. Leonardi-Bee J, Ellison T, Bath-Hextall F. Lifestyle factors of smoking, BMI and alcohol on the risk of Non-Melanoma Skin Cancer in adults: a systematic review. JBI Libr Syst Rev. 2012;10(6):352-398.
19. Leonardi-Bee J, Ellison T, Bath-Hextall F. Smoking and the risk of nonmelanoma skin cancer: systematic review and meta-analysis. Arch Dermatol. 2012;148(8):939-946.
20. Song F, Qureshi AA, Gao X, Li T, Han J. Smoking and risk of skin cancer: a prospective analysis and a meta-analysis. Int J Epidemiol. 2012;41(6):1694-1705.
21. Morales DR, Pacurariu A, Slattery J, Kurz X. Association between hydrochlorothiazide exposure and different incident skin, lip and oral cavity cancers: A series of population-based nested case-control studies. Br J Clin Pharmacol. 2020;86(7):1336-1345.
22. Blakely KM, Drucker AM, Rosen CF. Drug-Induced Photosensitivity-An Update: Culprit Drugs, Prevention and Management. Drug Saf. 2019;42(7):827-847.
23. Hofmann GA, Weber B. Drug-induced photosensitivity: culprit drugs, potential mechanisms and clinical consequences. J Dtsch Dermatol Ges. 2021;19(1):19-29.
24. Ibbotson S. Drug and chemical induced photosensitivity from a clinical perspective. Photochem Photobiol Sci. 2018;17(12):1885-1903.
25. Monteiro AF, Rato M, Martins C. Drug-induced photosensitivity: Photoallergic and phototoxic reactions. Clin Dermatol. 2016;34(5):571-581.
26. Lozzi F, Di Raimondo C, Lanna C, et al. Latest Evidence Regarding the Effects of Photosensitive Drugs on the Skin: Pathogenetic Mechanisms and Clinical Manifestations. Pharmaceutics. 2020;12(11).
27. James PA, Oparil S, Carter BL, et al. 2014 evidence-based guideline for the management of high blood pressure in adults: report from the panel members appointed to the Eighth Joint National Committee (JNC 8). JAMA. 2014;311(5):507-520.
28. Bendinelli B, Masala G, Garamella G, Palli D, Caini S. Do Thiazide Diuretics Increase the Risk of Skin Cancer? A Critical Review of the Scientific Evidence and Updated Meta-Analysis. Curr Cardiol Rep. 2019;21(9):92.
29. Kreutz R, Algharably EAH, Douros A. Reviewing the effects of thiazide and thiazide-like diuretics as photosensitizing drugs on the risk of skin cancer. J Hypertens. 2019;37(10):1950-1958.
30. Pottegård A, Pedersen SA, Schmidt SAJ, Hölmich LR, Friis S, Gaist D. Association of Hydrochlorothiazide Use and Risk of Malignant Melanoma. JAMA Internal Medicine. 2018;178(8):1120-1122.
31. Rouette J, Yin H, Pottegard A, Nirantharakumar K, Azoulay L. Use of Hydrochlorothiazide and Risk of Melanoma and Nonmelanoma Skin Cancer. Drug Saf. 2020.
32. Bota JP, Lyons AB, Carroll BT. Squamous Cell Carcinoma of the Lip-A Review of Squamous Cell Carcinogenesis of the Mucosal and Cutaneous Junction. Dermatol Surg. 2017;43(4):494-506.
33. Pottegard A, Hallas J, Olesen M, et al. Hydrochlorothiazide use is strongly associated with risk of lip cancer. J Intern Med. 2017;282(4):322-331.
34. Daniels B, Pearson SA, Vajdic CM, Pottegard A, Buckley NA, Zoega H. Risk of squamous cell carcinoma of the lip and cutaneous melanoma in older Australians using hydrochlorothiazide: A population-based case-control study. Basic Clin Pharmacol Toxicol. 2020;127(4):320-328.
35. Schneider R, Reinau D, Stoffel S, Jick SS, Meier CR, Spoendlin J. Risk of skin cancer in new users of thiazides and thiazide-like diuretics: a cohort study using an active comparator group. Br J Dermatol. 2021.
36. Alicea GM, Rebecca VW. Emerging strategies to treat rare and intractable subtypes of melanoma. Pigment Cell Melanoma Res. 2020.
37. Elwood JM, Gallagher RP, Worth AJ, Wood WS, Pearson JC. Etiological differences between subtypes of cutaneous malignant melanoma: Western Canada Melanoma Study. J Natl Cancer Inst. 1987;78(1):37-44.
38. Elder DE, Bastian BC, Cree IA, Massi D, Scolyer RA. The 2018 World Health Organization Classification of Cutaneous, Mucosal, and Uveal Melanoma: Detailed Analysis of 9 Distinct Subtypes Defined by Their Evolutionary Pathway. Arch Pathol Lab Med. 2020;144(4):500-522.
39. Chang JW, Yeh KY, Wang CH, et al. Malignant melanoma in Taiwan: a prognostic study of 181 cases. Melanoma Res. 2004;14(6):537-541.
40. Park E, Lee Y, Jue MS. Hydrochlorothiazide use and the risk of skin cancer in patients with hypertensive disorder: a nationwide retrospective cohort study from Korea. Korean J Intern Med. 2020;35(4):917-928.
41. Eworuke E, Haug N, Bradley M, et al. Risk of Nonmelanoma Skin Cancer in Association With Use of Hydrochlorothiazide-Containing Products in the United States. JNCI Cancer Spectr. 2021;5(2):pkab009.
42. Hogue L, Harvey VM. Basal Cell Carcinoma, Squamous Cell Carcinoma, and Cutaneous Melanoma in Skin of Color Patients. Dermatol Clin. 2019;37(4):519-526.
43. de Vries E, Trakatelli M, Kalabalikis D, et al. Known and potential new risk factors for skin cancer in European populations: a multicentre case-control study. Br J Dermatol. 2012;167 Suppl 2:1-13.
44. Jensen AO, Thomsen HF, Engebjerg MC, Olesen AB, Sorensen HT, Karagas MR. Use of photosensitising diuretics and risk of skin cancer: a population-based case-control study. Br J Cancer. 2008;99(9):1522-1528.
45. Nardone B, Majewski S, Kim AS, et al. Melanoma and Non-Melanoma Skin Cancer Associated with Angiotensin-Converting-Enzyme Inhibitors, Angiotensin-Receptor Blockers and Thiazides: A Matched Cohort Study. Drug Saf. 2017;40(3):249-255.
46. Westerdahl J, Olsson H, Måsbäck A, Ingvar C, Jonsson N. Risk of malignant melanoma in relation to drug intake, alcohol, smoking and hormonal factors. Br J Cancer. 1996;73(9):1126-1131.
47. Robinson SN, Zens MS, Perry AE, Spencer SK, Duell EJ, Karagas MR. Photosensitizing agents and the risk of non-melanoma skin cancer: a population-based case-control study. J Invest Dermatol. 2013;133(8):1950-1955.
48. Schmidt SA, Schmidt M, Mehnert F, Lemeshow S, Sorensen HT. Use of antihypertensive drugs and risk of skin cancer. J Eur Acad Dermatol Venereol. 2015;29(8):1545-1554.
49. Adalsteinsson JA, Muzumdar S, Waldman R, et al. Association between Hydrochlorothiazide and the Risk of In-situ and Invasive Squamous Cell Skin Carcinoma and Basal Cell Carcinoma: A Population-Based Case-Control Study. J Am Acad Dermatol. 2020.
50. Letellier T, Leborgne F, Kerleau C, et al. Association between Use of Hydrochlorothiazide and Risk of Keratinocyte Cancers in Kidney Transplant Recipients. Clin J Am Soc Nephrol. 2020;15(12):1804-1813.
51. Drucker AM, Hollestein L, Na Y, et al. Association between antihypertensive medications and risk of skin cancer in people older than 65 years: a population-based study. CMAJ. 2021;193(15):E508-E516.
52. Kim JC, Kim YC, Choi JW. Use of hydrochlorothiazide and risk of nonmelanoma skin cancer in Koreans: a retrospective cohort study using administrative healthcare data. Clin Exp Dermatol. 2021;46(4):680-686.
53. Hsieh CY, Su CC, Shao SC, et al. Taiwan's National Health Insurance Research Database: past and future. Clin Epidemiol. 2019;11:349-358.
54. Chiang CJ, You SL, Chen CJ, Yang YW, Lo WC, Lai MS. Quality assessment and improvement of nationwide cancer registration system in Taiwan: a review. Jpn J Clin Oncol. 2015;45(3):291-296.
55. Chiang CJ, Wang YW, Lee WC. Taiwan's Nationwide Cancer Registry System of 40 years: Past, present, and future. J Formos Med Assoc. 2019;118(5):856-858.
56. Lu T-H, Lee M-C, Chou M-C. Accuracy of cause-of-death coding in Taiwan: types of miscoding and effects on mortality statistics. International Journal of Epidemiology. 2000;29(2):336-343.
57. Sperber CM, Samarasinghe SR, Lomax GP. An upper and lower bound of the Medication Possession Ratio. Patient Prefer Adherence. 2017;11:1469-1478.
58. Tseng HW, Huang WC, Lu LY. The influence of immunosuppressants on the non-melanoma skin cancer among patients with systemic lupus erythematosus and primary Sjögren's syndrome: a nationwide retrospective case-control study in Taiwan. Clin Exp Rheumatol. 2019;37(6):946-952.
59. Scott FI, Mamtani R, Brensinger CM, et al. Risk of Nonmelanoma Skin Cancer Associated With the Use of Immunosuppressant and Biologic Agents in Patients With a History of Autoimmune Disease and Nonmelanoma Skin Cancer. JAMA Dermatol. 2016;152(2):164-172.
60. Haynes RB, Taylor DW, Sackett DL, Gibson ES, Bernholz CD, Mukherjee J. Can simple clinical measurements detect patient noncompliance? Hypertension. 1980;2(6):757-764.
61. Baumgartner PC, Haynes RB, Hersberger KE, Arnet I. A Systematic Review of Medication Adherence Thresholds Dependent of Clinical Outcomes. Front Pharmacol. 2018;9:1290.
62. Karve S, Cleves MA, Helm M, Hudson TJ, West DS, Martin BC. Good and poor adherence: optimal cut-point for adherence measures using administrative claims data. Curr Med Res Opin. 2009;25(9):2303-2310.
63. Reinau D, Surber C, Jick SS, Meier CR. Nonsteroidal anti-inflammatory drugs and the risk of nonmelanoma skin cancer. Int J Cancer. 2015;137(1):144-153.
64. Yang K, Marley A, Tang H, Song Y, Tang JY, Han J. Statin use and non-melanoma skin cancer risk: a meta-analysis of randomized controlled trials and observational studies. Oncotarget. 2017;8(43):75411-75417.
65. Ma Y, Yu P, Lin S, Li Q, Fang Z, Huang Z. The association between nonsteroidal anti-inflammatory drugs and skin cancer: Different responses in American and European populations. Pharmacological Research. 2020;152:104499.
66. 古鯉榕, 李佳純, 李中ㄧ. 臺灣「醫療利用歸人檔資料庫」之建置介紹. 健康科技期刊. 2018(2018專刊):11-23.
67. Lin MH, Yang AC, Wen T-H. Using regional differences and demographic characteristics to evaluate the principles of estimation of the residence of the population in National Health Insurance Research Databases (NHIRD). Taiwan Journal of Public Health. 2011;30:347-360.
68. Huang LY, Shau WY, Chen HC, et al. Pattern analysis and variations in the utilization of antihypertensive drugs in Taiwan: a six-year study. Eur Rev Med Pharmacol Sci. 2013;17(3):410-419.
69. Tripepi G, Chesnaye NC, Dekker FW, Zoccali C, Jager KJ. Intention to treat and per protocol analysis in clinical trials. Nephrology (Carlton). 2020;25(7):513-517.
70. Ranganathan P, Pramesh CS, Aggarwal R. Common pitfalls in statistical analysis: Intention-to-treat versus per-protocol analysis. Perspect Clin Res. 2016;7(3):144-146.
71. Roberts JE. Ultraviolet radiation as a risk factor for cataract and macular degeneration. Eye Contact Lens. 2011;37(4):246-249.
72. Lin YH, Sun CC, Yeung L, Yu YW, Sun MH, Chen KJ. Epidemiologic study of pterygium in Taiwan. Jpn J Ophthalmol. 2019;63(4):297-303.
73. Linetsky M, Raghavan CT, Johar K, et al. UVA light-excited kynurenines oxidize ascorbate and modify lens proteins through the formation of advanced glycation end products: implications for human lens aging and cataract formation. J Biol Chem. 2014;289(24):17111-17123.
74. Modenese A, Korpinen L, Gobba F. Solar Radiation Exposure and Outdoor Work: An Underestimated Occupational Risk. Int J Environ Res Public Health. 2018;15(10).
75. Huang YC, Chen YH. Cancer Incidence Characteristic Evolution Based on the National Cancer Registry in Taiwan. J Oncol. 2020;2020:1408793.
76. Behbahani S, Malerba S, Samie FH. Acral lentiginous melanoma: clinicopathological characteristics and survival outcomes in the US National Cancer Database 2004–2016. British Journal of Dermatology. 2020;183(5):952-954.
77. Registry TC. CANCER REGISTRY ANNUAL REPORT, 2018 In: ADMINISTRATION HP, MINISTRY, eds. 1 ed. Taiwan2020:69.
78. Chahal HS, Rieger KE, Sarin KY. Incidence ratio of basal cell carcinoma to squamous cell carcinoma equalizes with age. J Am Acad Dermatol. 2017;76(2):353-354.
79. Rogers HW, Weinstock MA, Feldman SR, Coldiron BM. Incidence Estimate of Nonmelanoma Skin Cancer (Keratinocyte Carcinomas) in the U.S. Population, 2012. JAMA Dermatol. 2015;151(10):1081-1086.
80. Christenson LJ, Borrowman TA, Vachon CM, et al. Incidence of basal cell and squamous cell carcinomas in a population younger than 40 years. Jama. 2005;294(6):681-690.
81. Pottegard A, Morales D. Comment on "Hydrochlorothiazide use and the risk of skin cancer in patients with hypertensive disorder: a nationwide retrospective cohort study from Korea". Korean J Intern Med. 2020;35(4):1014-1015.
82. Dafni U. Landmark analysis at the 25-year landmark point. Circ Cardiovasc Qual Outcomes. 2011;4(3):363-371.
83. Anderson JR, Cain KC, Gelber RD. Analysis of survival by tumor response. J Clin Oncol. 1983;1(11):710-719.
84. Mi X, Hammill BG, Curtis LH, Lai EC, Setoguchi S. Use of the landmark method to address immortal person-time bias in comparative effectiveness research: a simulation study. Stat Med. 2016;35(26):4824-4836.
85. Mi X, Hammill BG, Curtis LH, Greiner MA, Setoguchi S. Impact of immortal person-time and time scale in comparative effectiveness research for medical devices: a case for implantable cardioverter-defibrillators. J Clin Epidemiol. 2013;66(8 Suppl):S138-144.
86. Gleiss A, Oberbauer R, Heinze G. An unjustified benefit: immortal time bias in the analysis of time-dependent events. Transpl Int. 2018;31(2):125-130.
87. Wacholder S, Hartge P, Lubin JH, Dosemeci M. Non-differential misclassification and bias towards the null: a clarification. Occup Environ Med. 1995;52(8):557-558.
88. Xiong M, Charifa A, Chen CSJ. Lentigo Maligna Melanoma. In: StatPearls. Treasure Island (FL): StatPearls Publishing
Copyright © 2020, StatPearls Publishing LLC.; 2020.
89. Davis R, Wells CHJ, Taylor AR. Photolytic Decomposition of Indapamide. Journal of Pharmaceutical Sciences. 1979;68(8):1063-1064.
90. Sample A, He YY. Mechanisms and prevention of UV-induced melanoma. Photodermatol Photoimmunol Photomed. 2018;34(1):13-24.
91. Liu PH, Wang JD. Antihypertensive medication prescription patterns and time trends for newly-diagnosed uncomplicated hypertension patients in Taiwan. BMC Health Serv Res. 2008;8:133.
92. de Jong RGPJ, Burden AM, de Kort S, et al. Impact of detection bias on the risk of gastrointestinal cancer and its subsites in type 2 diabetes mellitus. European Journal of Cancer. 2017;79:61-71.
93. Rybak MJ, Le J, Lodise TP, et al. Therapeutic monitoring of vancomycin for serious methicillin-resistant Staphylococcus aureus infections: A revised consensus guideline and review by the American Society of Health-System Pharmacists, the Infectious Diseases Society of America, the Pediatric Infectious Diseases Society, and the Society of Infectious Diseases Pharmacists. American Journal of Health-System Pharmacy. 2020;77(11):835-864.
94. Lo VM, Ching CK, Chan AY, Mak TW. Bromadiolone toxicokinetics: diagnosis and treatment implications. Clin Toxicol (Phila). 2008;46(8):703-710.
95. Zuo W, Zhang X, Chang JB, Ma WB, Wei JJ. Bromadiolone poisoning leading to subarachnoid haemorrhage: A case report and review of the literature. J Clin Pharm Ther. 2019;44(6):958-962.
96. Vindenes V, Karinen R, Hasvold I, Bernard JP, Mørland JG, Christophersen AS. Bromadiolone poisoning: LC-MS method and pharmacokinetic data. J Forensic Sci. 2008;53(4):993-996.
97. Becq A, Rahmi G, Perrod G, Cellier C. Hemorrhagic angiodysplasia of the digestive tract: pathogenesis, diagnosis, and management. Gastrointest Endosc. 2017;86(5):792-806.
98. Kurita GP, Lundstrom S, Sjogren P, et al. Renal function and symptoms/adverse effects in opioid-treated patients with cancer. Acta Anaesthesiol Scand. 2015;59(8):1049-1059.
99. Davison SN, Rathwell S. Safe and Effective Management of Pain in People with CKD. Clin J Am Soc Nephrol. 2019;14(11):1551-1553.
100. Nagar VR, Birthi P, Salles S, Sloan PA. Opioid Use in Chronic Pain Patients with Chronic Kidney Disease: A Systematic Review. Pain Med. 2017;18(8):1416-1449.
101. Smith HS. Opioid metabolism. Mayo Clin Proc. 2009;84(7):613-624.
102. Ng KT, Yap JLL. Continuous infusion vs. intermittent bolus injection of furosemide in acute decompensated heart failure: systematic review and meta-analysis of randomised controlled trials. Anaesthesia. 2018;73(2):238-247.
103. Council ND. Population projection in Taiwan 1959-2070. Taiwan: National Development Council, ROC; Aug 2020.
104. By the American Geriatrics Society Beers Criteria Update Expert P. American Geriatrics Society 2019 Updated AGS Beers Criteria(R) for Potentially Inappropriate Medication Use in Older Adults. J Am Geriatr Soc. 2019;67(4):674-694.
105. O'Mahony D, O'Sullivan D, Byrne S, O'Connor MN, Ryan C, Gallagher P. STOPP/START criteria for potentially inappropriate prescribing in older people: version 2. Age Ageing. 2015;44(2):213-218.
106. Holt S, Schmiedl S, Thurmann PA. Potentially inappropriate medications in the elderly: the PRISCUS list. Dtsch Arztebl Int. 2010;107(31-32):543-551.
107. 朱麗鈴, 蘇慧真, 陳志金, 蔡岡廷, 王慧瑜. 建置醫囑決策與PIM藥品監測系統以降低住院老年病人潛在不適當用藥. 臺灣臨床藥學雜誌. 2017;25(1):47-57.
108. Chang CB, Yang SY, Lai HY, et al. Using published criteria to develop a list of potentially inappropriate medications for elderly patients in Taiwan. Pharmacoepidemiol Drug Saf. 2012;21(12):1269-1279.
109. O'Mahony D. STOPP/START criteria for potentially inappropriate medications/potential prescribing omissions in older people: origin and progress. Expert Rev Clin Pharmacol. 2020;13(1):15-22.
110. Ho HY, Lou MF. [Introduction to Tools for Assessing Medication Use Appropriateness in Older Adults]. Hu Li Za Zhi. 2019;66(4):20-28.
111. 吳淑娟, 許勻婷, 曾唯倫. 某養護機構執行藥物諮詢計畫之成效. 台灣醫學. 2013;17(1):9-16.
112. Frankenthal D, Lerman Y, Kalendaryev E, Lerman Y. Intervention with the screening tool of older persons potentially inappropriate prescriptions/screening tool to alert doctors to right treatment criteria in elderly residents of a chronic geriatric facility: a randomized clinical trial. J Am Geriatr Soc. 2014;62(9):1658-1665.
113. Parker K, Bull-Engelstad I, Benth JS, et al. Effectiveness of using STOPP/START criteria to identify potentially inappropriate medication in people aged >/= 65 years with chronic kidney disease: a randomized clinical trial. Eur J Clin Pharmacol. 2019;75(11):1503-1511.
114. Dalton K, Curtin D, O'Mahony D, Byrne S. Computer-generated STOPP/START recommendations for hospitalised older adults: evaluation of the relationship between clinical relevance and rate of implementation in the SENATOR trial. Age Ageing. 2020;49(4):615-621.
115. Molnar AO, Bota S, Jeyakumar N, et al. Potentially inappropriate prescribing in older adults with advanced chronic kidney disease. PLoS One. 2020;15(8):e0237868.
116. Tesfaye WH, Castelino RL, Wimmer BC, Zaidi STR. Inappropriate prescribing in chronic kidney disease: A systematic review of prevalence, associated clinical outcomes and impact of interventions. Int J Clin Pract. 2017;71(7).
117. O'Connor MN, O'Sullivan D, Gallagher PF, Eustace J, Byrne S, O'Mahony D. Prevention of Hospital-Acquired Adverse Drug Reactions in Older People Using Screening Tool of Older Persons' Prescriptions and Screening Tool to Alert to Right Treatment Criteria: A Cluster Randomized Controlled Trial. J Am Geriatr Soc. 2016;64(8):1558-1566.
118. de Ruiter SC, Biesheuvel SS, van Haelst IMM, van Marum RJ, Jansen R. To STOPP or to START? Potentially inappropriate prescribing in older patients with falls and syncope. Maturitas. 2020;131:65-71.
119. Debernard KAB, Frost J, Roland PH. Quetiapine is not a sleeping pill. Tidsskr Nor Laegeforen. 2019;139(13).
120. Chow ES, Zangeneh-Kazemi A, Akintan O, Chow-Tung E, Eppel A, Boylan K. Prescribing Practices of Quetiapine for Insomnia at a Tertiary Care Inpatient Child and Adolescent Psychiatry Unit: A Continuous Quality Improvement Project. J Can Acad Child Adolesc Psychiatry. 2017;26(2):98-103.
121. Anderson SL, Vande Griend JP. Quetiapine for insomnia: A review of the literature. Am J Health Syst Pharm. 2014;71(5):394-402.
122. Carr CN, Lopchuk S, Beckman ME, Baugh TB. Evaluation of the use of low-dose quetiapine and the risk of metabolic consequences: A retrospective review. Ment Health Clin. 2016;6(6):308-313.
123. Edoute Y, Nagachandran P, Svirski B, Ben-Ami H. Cardiovascular Adverse Drug Reaction Associated with Combined β-Adrenergic and Calcium Entry-Blocking Agents. Journal of Cardiovascular Pharmacology. 2000;35(4):556-559.
124. Packer M, Leon MB, Bonow RO, Kieval J, Rosing DR, Subramanian VB. Hemodynamic and clinical effects of combined verapamil and propranolol therapy in angina pectoris. Am J Cardiol. 1982;50(4):903-912.
125. Jean G, Souberbielle JC, Chazot C. Vitamin D in Chronic Kidney Disease and Dialysis Patients. Nutrients. 2017;9(4).
126. Kidney Disease: Improving Global Outcomes CKDMBDUWG. KDIGO 2017 Clinical Practice Guideline Update for the Diagnosis, Evaluation, Prevention, and Treatment of Chronic Kidney Disease-Mineral and Bone Disorder (CKD-MBD). Kidney Int Suppl (2011). 2017;7(1):1-59.
127. Zhao HJ, Li Y, Liu SM, et al. Effect of calcium channels blockers and inhibitors of the renin-angiotensin system on renal outcomes and mortality in patients suffering from chronic kidney disease: systematic review and meta-analysis. Ren Fail. 2016;38(6):849-856.
128. Zhang F, Liu H, Liu D, et al. Effects of RAAS Inhibitors in Patients with Kidney Disease. Curr Hypertens Rep. 2017;19(9):72.
129. Fu EL, Clase CM, Evans M, et al. Comparative Effectiveness of Renin-Angiotensin System Inhibitors and Calcium Channel Blockers in Individuals With Advanced CKD: A Nationwide Observational Cohort Study. Am J Kidney Dis. 2021;77(5):719-729.e711.