Development and Evaluation of the Mini Congestion Score in Patients with Acute Heart Failure
DOI:
https://doi.org/10.60099/jtnmc.v39i04.270082Keywords:
fluid congestion, heart failure, assessment toolAbstract
Introduction Congestion is the primary reason patients with acute heart failure require hospitalization. A standardized, user-friendly, and accurate bedside tool for assessing fluid status could assist nurses in evaluating the severity and progression of fluid overload, improving care decisions and communication with physicians.
Objective To develop and evaluate the quality of the mini congestion score (MCS) in assessing congestion among patients with acute heart failure
Design Research and development
Methodology The development of the MCS assessment tool for fluid congestion followed a three-phase evidence-based nursing framework of the advanced nursing practice center: 1) clinical problem identification (evidence triggered), 2) evidence review and retrieval (evidence supported), and 3) tool implementation and outcome evaluation (evidence observed). The MCS and a nurse user manual were developed based on 14 retrieved and quality-appraised evidence items, following the Joanna Briggs Institute criteria. To assess its effectiveness, the MCS was tested in 50 critically ill patients admitted to the medical intensive care unit to evaluate fluid congestion.
Results The MCS consisted of an assessment of jugular venous pressure, rales, and edema, with a score of 0-3 for each item. The overall score of the tool is interpreted as including no congestion (score = 0), mild congestion (score = 1-3), moderate congestion (score = 4-6), and severe congestion (score = 7-9). Inter-rater reliability analysis revealed a very good level (Intraclass correlation coefficient = .980, 95%CI = .964 - .989, p<.001). The efficiency test of the MCS revealed that, at the cut-off of 3, the MCS had a sensitivity of 90.7%, specificity of 94.7%, and an area under the receiver operating characteristics curve (AUC) of .962 (95%CI = .909 – 1.00, p<.001)
Recommendation The MCS tool effectively evaluates and monitors fluid congestion during treatment. Its user-friendly design allows nurses to learn to use it independently with the provided manual. To optimize accuracy, it is recommended to combine its use with the hospital’s standard fluid congestion assessment protocol.
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Crespo-Aznarez S, Campos-Saenz de Santamaría A, Sánchez-Marteles M, Josa-Laorden C, Ruiz-Laiglesia F, Amores-Arriaga B, et al. Prognostic impact of induced natriuresis in acute decompensated heart failure and its association with intraabdominal pressure and other congestion markers: A multimodal approach to congestion assessment. J Clin Med. 2024;13(4): 1053. https://doi.org/10.3390/jcm13041053 PMID: 38398366
Cooper LB, Lippmann SJ, DiBello JR, Gorsh B, Curtis LH, Sikirica V, Hernandez AF, et al. The burden of congestion in patients hospitalized with acute decompensated heart failure. Am J Cardiol. 2019; 124(4):545-553. https://doi.org/10.1016/j.amjcard.2019.05.030 PMID: 31208702
Heidenreich PA, Bozkurt B, Aguilar D, Allen LA, Byun JJ, Colvin MM, et al. 2022 AHA/ACC/HFSA guideline for the management of heart failure: A report of the American College of Cardiology/American Heart Association Joint Committee on Clinical Practice Guidelines. Circulation. 2022;145(18):e895-e1032. https://doi.org/10.1161/CIR.0000000000001063 PMID: 35363499
Dauw J, Charaya K, Lelonek M, Zegri-Reiriz I, Nasr S, Paredes-Paucar CP, et al. Protocolized natriuresis-guided decongestion improves diuretic response: the multicenter ENACT-HF study. Circ Heart Fail. 2024;17(1):e011105. https://doi.org/10.1161/CIRCHEARTFAILURE.123.011105 PMID: 38179728
Pirrotta F, Mazza B, Gennari L, Palazzuoli A. Pulmonary congestion assessment in heart failure: traditional and new tools. Diagnostics (Basel). 2021;11(8):1306. Published 2021 Jul 21. https://doi.org/10.3390/diagnostics11081306 PMID: 34441241
Pellicori P, Platz E, Dauw J, Ter Maaten JM, Martens P, Pivetta E, et al. Ultrasound imaging of congestion in heart failure: examinations beyond the heart. Eur J Heart Fail. 2021;23(5):703-712. https://doi.org/10.1002/ejhf.2032 PMID: 33118672
Girerd N, Seronde MF, Coiro S, Chouihed T, Bilbault P, Braun F, et al. Integrative Assessment of Congestion in Heart Failure Throughout the Patient Journey. JACC Heart Fail. 2018;6(4):273-285. https://doi.org/10.1016/j.jchf.2017.09.023 PMID: 29226815
Wang L, Harrison J, Dranow E, Aliyev N, Khor L. Accuracy of ultrasound jugular venous pressure height in predicting central venous congestion. Ann Intern Med. 2022;175(3):344-351. https://doi.org/10.7326/M21-2781 PMID: 34958600
Haag S, Jobs A, Stiermaier T, Fichera CF, Paitazoglou C, Eitel I, et al. Lack of correlation between different congestion markers in acute decompensated heart failure. Clin Res Cardiol. 2023;112(1):75-86. https://doi.org/10.1007/s00392-022-02036-9 PMID: 35648271
McDonagh TA, Metra M, Adamo M, Gardner RS, Baumbach A, Böhm M, et al. 2021 ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure. Eur Heart J. 2021;42(36):3599-3726. https://doi.org/10.1093/eurheartj/ehab368 PMID: 34447992
Mullens W, Damman K, Harjola VP, Mebazaa A, Brunner-La Rocca HP, Martens P, et al. The use of diuretics in heart failure with congestion - a position statement from the Heart Failure Association of the European Society of Cardiology. Eur J Heart Fail. 2019;21(2):137-155. https://doi.org/10.1002/ejhf.1369 PMID: 30600580
Thibodeau JT, Drazner MH. The role of the clinical examination in patients with heart failure. JACC Heart Fail. 2018;6(7):543-551. https://doi.org/10.1016/j.jchf.2018.04.005 PMID: 29885957
Binanay C, Califf RM, Hasselblad V, O’Connor CM, Shah MR, Sopko G, et al. Evaluation study of congestive heart failure and pulmonary artery catheterization effectiveness: the ESCAPE trial. JAMA. 2005; 294(13):1625-1633. https://doi.org/10.1001/jama.294.13.1625 PMID: 16204662
Kobayashi M, Douair A, Duarte K, Jaeger D, Giacomin G, Bassand A, et al. Diagnostic performance of congestion score index evaluated from chest radiography for acute heart failure in the emergency department: A retrospective analysis from the PARADISE cohort. PLoS Med. 2020;17(11):e1003419. https://doi.org/10.1371/journal.pmed.1003419 PMID: 33175832
Polcz M, Huston J, Breed M, Case M, Leisy P, Schmeckpeper J, et al. Comparison of clinical symptoms and bioimpedance to pulmonary capillary wedge pressure in heart failure. Am Heart J Plus. 2022;15:100133. https://doi.org/10.1016/j.ahjo.2022.100133 PMID: 35600671
Ru D, Yan Y, Li B, Shen X, Tang R, Wang E. BNP and NT-proBNP concentrations in paired cerebrospinal fluid and plasma samples of patients with traumatic brain injury. J Surg Res. 2021;266:353-360. https://doi.org/10.1016/j.jss.2021.04.018 PMID: 34087618
Zhang Y, Feng Z, Bao Y, Zhou L, Qiu B. Could B-type natriuretic peptides be a biomarker for trauma brain injury? A systematic review and meta-analysis. Am J Emerg Med. 2017;35(11):1695-1701. https://doi.org/10.1016/j.ajem.2017.05.051 PMID: 28596033
Verdú-Rotellar JM, Frigola-Capell E, Alvarez-Pérez R, da Silva D, Enjuanes C, Domingo M, et al. Validation of heart failure diagnosis registered in primary care records in two primary care centres in Barcelona (Spain) and factors related. A cross-sectional study. Eur J Gen Pract. 2017;23(1):107-113. https://doi.org/10.1080/13814788.2017.1305104 PMID: 28376668
Ambrosy AP, Pang PS, Khan S, Konstam MA, Fonarow GC, Traver B, et al. Clinical course and predictive value of congestion during hospitalization in patients admitted for worsening signs and symptoms of heart failure with reduced ejection fraction: findings from the EVEREST trial. Heart J. 2013;34(11):835-843. https://doi.org/10.1093/eurheartj/ehs444 PMID: 23293303
Oguri M, Ishii H, Takahara K, Yasuda K, Takikawa T, Sumi T, et al. Efficacy of rapid decongestion strategy in patients hospitalized for acute heart failure. Circ J. 2020;84(6):958-964. https://doi.org/10.1253/circj.CJ-19-1128 PMID: 32321902
Soukup SM. The Center for Advanced Nursing Practice evidence-based practice model: promoting the scholarship of practice. Nurs Clin North Am. 2000;35(2):301-309.
Rubio-Gracia J, Demissei BG, Ter Maaten JM, Cleland JG, O’Connor CM, Metra M, et al. Prevalence, predictors and clinical outcome of residual congestion in acute decompensated heart failure. Int J Cardiol. 2018;258: 185-191. https://doi.org/10.1016/j.ijcard.2018.01.067 PMID: 29544928
Coiro S, Rossignol P, Ambrosio G, Carluccio E, Alunni G, Murrone A, et al. Prognostic value of residual pulmonary congestion at discharge assessed by lung ultrasound imaging in heart failure. Eur J Heart Fail. 2015;17(11): 1172-1181. https://doi.org/10.1002/ejhf.344 PMID: 26417699
Lombardi CM, Cimino G, Pellicori P, Bonelli A, Inciardi RM, Pagnesi M, et al. Congestion in patients with advanced heart failure: assessment and treatment. Heart Fail Clin. 2021;17(4):575-586. https://doi.org/10.1016/j.hfc.2021.05.003 PMID: 34511206
Joanna Briggs Institute. JBI levels of evidence [Internet]. 2014 [cited 2022 Jul 22]. Available from: https://jbi.global/sites/default/files/2019-05/JBI-Levelsof-evidence_2014_0.pdf
Sim J, Lewis M. The size of a pilot study for a clinical trial should be calculated in relation to considerations of precision and efficiency. J Clin Epidemiol [Internet]. 2012 [cited 2024 Aug 15];65(3):301–8. Available from: https://www.jclinepi.com/article/S0895-4356(11)00264-2/abstract
Assavapokee T, Thadanipon K. Examination of the Neck Veins. Ingelfinger JR, editor. New England Journal of Medicine. 2020 Dec 10;383(24):e132.
Inspection of the neck veins. In: McGee S. Evidence-based physical diagnosis. 4th ed. Philadelphia: Elsevier, 2018:301-4
Pramono RXA, Bowyer S, Rodriguez-Villegas E. Automatic adventitious respiratory sound analysis: A systematic review. PLoS One [Internet]. 2017 May 1 [cited 2023 Aug 23];12(5). Available from: https://pubmed.ncbi.nlm.nih.gov/28552969/
Abassi Z, Khoury EE, Karram T, Aronson D. Edema formation in congestive heart failure and the underlying mechanisms. Front Cardiovasc Med. 2022 Sep 27;9:933215.
Busti, Anthony J. Pitting Edema Assessment. Evidence-Based Medicine Consult. 2016. https://www.ebmconsult.com/articles/pitting-edemaassessment
Faizi N, Alvi Y. Correlation. In: Elsevier eBooks [Internet]. 2022 [cited 2022 Jul 22]. p. 109–26. Available from: https://doi.org/10.1016/b978-0-443-18550-2.00002-5
Koo TK, Li MY. A guideline of selecting and reporting intraclass correlation coefficients for reliability research [published correction appears in J Chiropr Med. 2017 Dec;16(4):346]. J Chiropr Med. 2016; 15(2):155-163. https://doi.org/10.1016/j.jcm.2016.02.012 PMID: 27330520
Ray P, Manach YL, Riou B,Houle TT. Statistical evaluation of a biomarker. Anesthesiology 2010; 112(4);1023-40.
Caldentey G, Khairy P, Roy D, Leduc H, Talajic M, Racine N, et al. Prognostic Value of the Physical Examination in Patients with Heart Failure and Atrial Fibrillation: Insights From the AF-CHF Trial (Atrial Fibrillation and Chronic Heart Failure). JACC Heart Fail [Internet]. 2014 Feb [cited 2024 Aug 15];2(1): 15–23. Available from: https://www.jacc.org/doi/10.1016/j.jchf.2013.10.004
Congestive heart failure. In: McGee S. Evidence-based physical diagnosis. 4th ed. Philadelphia: Elsevier, 2018:411-8.
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