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The goal of this observational study is to investigate the prevalence and risk factors of hyperkalemia in community-based non-dialysis chronic kidney disease (CKD) patients. The main questions it aims to answer are:
Participants will:
The findings will be used to construct a risk prediction model for hyperkalemia, aiming to optimize screening pathways and improve disease management strategies in primary care.
Hyperkalemia is a common and life-threatening complication in CKD, with limited data available for non-dialysis patients in community settings. This cross-sectional study will enroll 2,000 non-dialysis CKD patients (Stages 1-5) from 18 community health centers in Songjiang, Shanghai.
The study includes:
Data will be collected through:
Statistical analyses will identify key risk factors, and a predictive model will be developed to guide early screening and intervention. This study aims to improve CKD management in primary care by providing evidence for targeted hyperkalemia screening and prevention strategies.
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| No Intervention | Other | This is an observational study with no interventions. POCT devices, provided by Eaglenos Sciences, Inc., are used to measure blood glucose, creatinine, uric acid, hemoglobin, and potassium levels in non-dialysis CKD patients for data collection purposes only. |
| Measure | Description | Time Frame |
|---|---|---|
| Prevalence of Hyperkalemia. | The proportion of non-dialysis CKD patients with hyperkalemia, defined as a blood potassium level greater than 5.0 mmol/L, measured using point-of-care testing (POCT) at enrollment. | At the time of enrollment |
| Measure | Description | Time Frame |
|---|---|---|
| Association Between Hyperkalemia and Age. | Evaluates the association between hyperkalemia (blood potassium > 5.0 mmol/L) and age (years) in non-dialysis CKD patients at enrollment, reported as odds ratios from univariate and multivariate logistic regression analyses. | At the time of enrollment |
| Association Between Hyperkalemia and CKD Stage. |
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Inclusion Criteria:
Aged 18 years or older with stable vital signs, specifically defined as:
Willing to participate in the study and sign the informed consent form.
Hematocrit (Hct) level between 25% and 60%.
Confirmed diagnosis of chronic kidney disease (CKD).
Exclusion Criteria:
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Non-dialysis CKD patients (Stage 1-5), aged 18 years or older, recruited from 18 community health centers in Songjiang District, Shanghai.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Xiujuan Zang, MD | Contact | +8618918289268 | zangxiujuan@shsmu.edu.cn | |
| Xiangyu Zhang, MMed | Contact | +8618963755366 | zhang_xiangyu@126.com |
| Name | Affiliation | Role |
|---|---|---|
| Xiujuan Zang, MD | Songjiang Hospital Affiliated to Shanghai Jiao Tong University School of Medicine | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Songjiang Hospital Affiliated to Shanghai Jiao Tong University School of Medicine | Recruiting | Shanghai | Shanghai Municipality | 200025 | China |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 38292832 | Background | Sevamontree C, Jintajirapan S, Phakdeekitcharoen P, Phakdeekitcharoen B. The Prevalence and Risk Factors of Hyperkalemia in the Outpatient Setting. Int J Nephrol. 2024 Jan 22;2024:5694131. doi: 10.1155/2024/5694131. eCollection 2024. | |
| 38406030 | Background | Sinnathamby ES, Banh KT, Barham WT, Hernandez TD, De Witt AJ, Wenger DM, Klapper VG, McGregor D, Paladini A, Ahmadzadeh S, Shekoohi S, Kaye AD, Varrassi G. Hyperkalemia: Pharmacotherapies and Clinical Considerations. Cureus. 2024 Jan 26;16(1):e52994. doi: 10.7759/cureus.52994. eCollection 2024 Jan. |
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All collected IPD
Starting 6 months after publication
Data will be made available to qualified researchers upon submission of a research proposal and executionof a data use agreement. Data access will be granted after the final study results are published and after anethical review by the institution's ethics board. Data sharing will be coordinated via email. Qualifiedresearchers can contact zxyykjb@163.com to request access to the data.
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| ID | Term |
|---|---|
| D006947 | Hyperkalemia |
| D051436 | Renal Insufficiency, Chronic |
| ID | Term |
|---|---|
| D014883 | Water-Electrolyte Imbalance |
| D008659 | Metabolic Diseases |
| D009750 | Nutritional and Metabolic Diseases |
| D051437 | Renal Insufficiency |
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Evaluates the association between hyperkalemia (blood potassium > 5.0 mmol/L) and CKD stage (1-5) in non-dialysis CKD patients at enrollment, reported as odds ratios from univariate and multivariate logistic regression analyses. |
| At the time of enrollment |
| Association Between Hyperkalemia and Blood Glucose. | Evaluates the association between hyperkalemia (blood potassium > 5.0 mmol/L) and blood glucose (mmol/L) in non-dialysis CKD patients using POCT at enrollment, reported as odds ratios from univariate and multivariate logistic regression analyses. | At the time of enrollment |
| Association Between Hyperkalemia and Creatinine. | Evaluates the association between hyperkalemia (blood potassium > 5.0 mmol/L) and creatinine (μmol/L) in non-dialysis CKD patients using POCT at enrollment, reported as odds ratios from univariate and multivariate logistic regression analyses | At the time of enrollment |
| Association Between Hyperkalemia and Uric Acid. | Evaluates the association between hyperkalemia (blood potassium > 5.0 mmol/L) and uric acid (μmol/L) in non-dialysis CKD patients using POCT at enrollment, reported as odds ratios from univariate and multivariate logistic regression analyses. | At the time of enrollment |
| Association Between Hyperkalemia and Hemoglobin. | Evaluates the association between hyperkalemia (blood potassium > 5.0 mmol/L) and hemoglobin (g/L) in non-dialysis CKD patients using POCT at enrollment, reported as odds ratios from univariate and multivariate logistic regression analyses. | At the time of enrollment |
| Performance of Hyperkalemia Prediction Model. | Assesses the performance of a hyperkalemia prediction model in non-dialysis CKD patients using data from enrollment, reported as area under the ROC curve (AUC), sensitivity (%), and specificity (%). | At the time of enrollment |
| 19546417 | Background | Einhorn LM, Zhan M, Hsu VD, Walker LD, Moen MF, Seliger SL, Weir MR, Fink JC. The frequency of hyperkalemia and its significance in chronic kidney disease. Arch Intern Med. 2009 Jun 22;169(12):1156-62. doi: 10.1001/archinternmed.2009.132. |
| 29031358 | Background | Gilligan S, Raphael KL. Hyperkalemia and Hypokalemia in CKD: Prevalence, Risk Factors, and Clinical Outcomes. Adv Chronic Kidney Dis. 2017 Sep;24(5):315-318. doi: 10.1053/j.ackd.2017.06.004. |
| 29882199 | Background | De Nicola L, Di Lullo L, Paoletti E, Cupisti A, Bianchi S. Chronic hyperkalemia in non-dialysis CKD: controversial issues in nephrology practice. J Nephrol. 2018 Oct;31(5):653-664. doi: 10.1007/s40620-018-0502-6. Epub 2018 Jun 7. |
| 28778861 | Background | Montford JR, Linas S. How Dangerous Is Hyperkalemia? J Am Soc Nephrol. 2017 Nov;28(11):3155-3165. doi: 10.1681/ASN.2016121344. Epub 2017 Aug 4. |
| 22386035 | Background | Zhang L, Wang F, Wang L, Wang W, Liu B, Liu J, Chen M, He Q, Liao Y, Yu X, Chen N, Zhang JE, Hu Z, Liu F, Hong D, Ma L, Liu H, Zhou X, Chen J, Pan L, Chen W, Wang W, Li X, Wang H. Prevalence of chronic kidney disease in China: a cross-sectional survey. Lancet. 2012 Mar 3;379(9818):815-22. doi: 10.1016/S0140-6736(12)60033-6. |
| 27102194 | Background | Ene-Iordache B, Perico N, Bikbov B, Carminati S, Remuzzi A, Perna A, Islam N, Bravo RF, Aleckovic-Halilovic M, Zou H, Zhang L, Gouda Z, Tchokhonelidze I, Abraham G, Mahdavi-Mazdeh M, Gallieni M, Codreanu I, Togtokh A, Sharma SK, Koirala P, Uprety S, Ulasi I, Remuzzi G. Chronic kidney disease and cardiovascular risk in six regions of the world (ISN-KDDC): a cross-sectional study. Lancet Glob Health. 2016 May;4(5):e307-19. doi: 10.1016/S2214-109X(16)00071-1. |
| D007674 | Kidney Diseases |
| D014570 | Urologic Diseases |
| D052776 | Female Urogenital Diseases |
| D005261 | Female Urogenital Diseases and Pregnancy Complications |
| D000091642 | Urogenital Diseases |
| D052801 | Male Urogenital Diseases |
| D002908 | Chronic Disease |
| D020969 | Disease Attributes |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |