{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,23]],"date-time":"2026-10-23T21:14:02Z","timestamp":1792790042638,"version":"4.5.0"},"reference-count":34,"publisher":"Ovid Technologies (Wolters Kluwer Health)","issue":"10","funder":[{"name":"Shanghai Science and Technology Innovation Plan","award":["22Y11905500"],"award-info":[{"award-number":["22Y11905500"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82070705"],"award-info":[{"award-number":["82070705"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["81770670"],"award-info":[{"award-number":["81770670"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["81873595"],"award-info":[{"award-number":["81873595"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Shanghai Municipal Key Clinical Specialty","award":["shslczdzk02503"],"award-info":[{"award-number":["shslczdzk02503"]}]},{"name":"Research Projects of Shanghai Science and Technology Committee","award":["17411972100"],"award-info":[{"award-number":["17411972100"]}]}],"content-domain":{"domain":["lww.com","ovid.com"],"crossmark-restriction":true},"short-container-title":["Kidney360"],"published-print":{"date-parts":[[2022,10,27]]},"abstract":"<jats:sec>\n                    <jats:title>Key Points<\/jats:title>\n                    <jats:p>\n                      <jats:list list-type=\"bullet\">\n                        <jats:list-item>\n                          <jats:p>Tools for diagnosis or prediction of hyperkalemia in CKD are limited, especially in patients not using RAASi.<\/jats:p>\n                        <\/jats:list-item>\n                        <jats:list-item>\n                          <jats:p>This study constructed a convenient nomogram and online calculator to identify the risk of hyperkalemia within 6 months in patients with advanced CKD.<\/jats:p>\n                        <\/jats:list-item>\n                        <jats:list-item>\n                          <jats:p>Patients with CKD who are identified as high risk of hyperkalemia by the tool may benefit from intensive monitoring and early triage.<\/jats:p>\n                        <\/jats:list-item>\n                      <\/jats:list>\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Hyperkalemia is a common and life-threatening complication of CKD. We aimed to develop and validate a nomogram that could identify the risk of hyperkalemia (\u22655.5 mmol\/L) in patients with CKD.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>A retrospective cohort study was performed in adult patients with predialysis advanced CKD (stages \u22653) in 2020\u20132021 for the outcome of hyperkalemia within 6 months. The training set was used to identify risk factors of hyperkalemia. Then a nomogram was developed by multivariable logistic regression analysis. C-statistics, calibration curves, and decision curve analysis (DCA) were used, and the model was validated in the internal and two external validation sets.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>In total, 847 patients with advanced CKD were included. In 6 months, 28% of patients had hyperkalemia (234 out of 847). Independent risk factors were: age \u226575 years, higher CKD stages, previous event of serum potassium \u22655.0 mmol\/L within 3 months, and comorbidities with heart failure, diabetes, or metabolic acidosis. Then the nomogram on the basis of the risk factors adding the use of renin-angiotensin-aldosterone system inhibitors was constructed. The C-statistic of the model was 0.76 (95% CI, 0.70 to 0.78), and was stable in both the internal validation set (0.73; 95% CI, 0.63 to 0.82) and external validation sets (0.88; 95% CI, 0.84 to 0.95 and 0.82; 95% CI, 0.72 to 0.92). Calibration curves and DCA analysis both found good performances of the nomogram.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>A feasible nomogram and online calculator were developed and validated to evaluate the risk of hyperkalemia within 6 months in patients with advanced CKD. Patients with CKD and a high risk of hyperkalemia may benefit from intensive monitoring and early triage.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.34067\/kid.0004752022","type":"journal-article","created":{"date-parts":[[2022,9,20]],"date-time":"2022-09-20T10:35:17Z","timestamp":1663670117000},"page":"1699-1709","update-policy":"https:\/\/doi.org\/10.1097\/lww.0000000000001000","source":"Crossref","is-referenced-by-count":7,"title":["A Nomogram to Identify Hyperkalemia Risk in Patients with Advanced CKD"],"prefix":"10.34067","volume":"3","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4132-9406","authenticated-orcid":false,"given":"Cheng","family":"Xue","sequence":"first","affiliation":[{"name":"Department of Nephrology, Changzheng Hospital, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chenchen","family":"Zhou","sequence":"additional","affiliation":[{"name":"Department of Nephrology, Changzheng Hospital, Shanghai, 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China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaohua","family":"Hu","sequence":"additional","affiliation":[{"name":"Department of Nephrology, Zhabei Central Hospital of JingAn District of Shanghai, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jia","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Neurology, PLA 902 Hospital, Bengbu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaoling","family":"Luo","sequence":"additional","affiliation":[{"name":"Department of Nephrology, Changzheng Hospital, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0990-7042","authenticated-orcid":false,"given":"Liming","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Nephrology, Zhabei Central Hospital of JingAn District of Shanghai, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Changlin","family":"Mei","sequence":"additional","affiliation":[{"name":"Department of Nephrology, Changzheng Hospital, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhiguo","family":"Mao","sequence":"additional","affiliation":[{"name":"Department of Nephrology, Changzheng Hospital, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"276","published-online":{"date-parts":[[2022,10,27]]},"reference":[{"key":"B1-20250825","doi-asserted-by":"crossref","first-page":"815","DOI":"10.1016\/S0140-6736(12)60033-6","article-title":"Prevalence of chronic kidney disease in China: A cross-sectional survey","volume":"379","author":"Zhang","year":"2012","journal-title":"Lancet"},{"key":"B2-20250825","doi-asserted-by":"crossref","first-page":"42","DOI":"10.1016\/j.kint.2019.09.018","article-title":"Potassium homeostasis and management of dyskalemia in kidney diseases: 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