Literature DB >> 32753858

Usefulness of FRAIL Scale in Heart Valve Diseases.

Piotr Duchnowski1, Piotr Szymański1, Mariusz Kuśmierczyk2, Tomasz Hryniewiecki1.   

Abstract

BACKGROUND: The frailty syndrome is a serious health problem for an aging population. The occurrence of frailty in the group of symptomatic patients undergoing heart valve surgery may have additional clinical implications. The predictive ability of the FRAIL scale in patients undergoing heart valve surgery during a 30-day follow-up has not yet been described. PATIENTS AND METHODS: A prospective study was conducted on a group of consecutive patients with hemodynamically significant valve disease (aortic stenosis, aortic regurgitation, mitral stenosis and mitral regurgitation) that underwent elective valve surgery in 2014-2019. The primary endpoint was 30-day mortality. Univariate analysis, followed by multivariate regression analysis, was performed.
RESULTS: The study group included 672 consecutive patients (aortic valve stenosis, aortic regurgitation, mitral stenosis and mitral regurgitation) who underwent replacement or repair of the valve. Twenty-five patients died during the 30-day follow-up. At multivariate analysis, FRAIL scale result (OR 2.802; 95% CI 1.275-6.157; p=0.01) and red cell distribution width (RDW) (OR 1.810; 95% CI 1.181-2.775; p=0.006) remained independent predictors of the primary endpoint.
CONCLUSION: The presented study showed the predictive ability of the FRAIL scale result in patients undergoing heart valve surgery for 30-day mortality.
© 2020 Duchnowski et al.

Entities:  

Keywords:  EuroSCORE II; FRAIL scale; frailty syndrome; valve surgery

Mesh:

Year:  2020        PMID: 32753858      PMCID: PMC7358089          DOI: 10.2147/CIA.S239054

Source DB:  PubMed          Journal:  Clin Interv Aging        ISSN: 1176-9092            Impact factor:   4.458


Introduction

Frailty syndrome is a serious health problem for an aging population. With age, the susceptibility of the human body to the destructive influence of intra- and extra-environmental factors increases, while the body’s adaptability decreases. For a better understanding of the individual diversity of the rate of aging, the concept of frailty is used. Frailty syndrome is a consequence of a decrease in the physiological reserves of many organs.1,3 The factors responsible for the development of the frailty syndrome may be chronic inflammation, hormonal disturbances, osteoporosis, coexistence of other comorbidities or social factors such as bad financial situation or social isolation. To date, it has been shown that the occurrence of frailty syndrome is associated with an increased risk of cognitive impairment, disability and death.4 In clinical practice, the lack of consensus regarding the gold diagnostic standard makes it difficult to accurately assess the severity of frailty syndrome. This results in a large variety of scales used in scientific research. The FRAIL scale is one of the available tools used to assess the occurrence of the frailty syndrome. The FRAIL scale estimates the occurrence of 5 components: fatigue, resistance, aerobic, illness and loss of weight. The presence of 3 out of 5 indicates the presence of frailty syndrome.5,6 Patients undergoing heart valve surgery are at risk of serious postoperative complications, including death. The co-occurrence of preoperative loads such as frailty syndrome may additionally increase this risk.7,11 In the risk assessment of cardiac surgery, risk calculators are used – in European conditions, EuroSCORE II is most often used. However, the reliability of these calculators is limited.12,15 So far, the role of the FRAIL scale has not been evaluated for short-term prognosis in the group of patients undergoing heart valve surgery. Due to the need to supplement tools for accurate heart surgery risk assessment, in the presented study we assessed the suitability of the FRAIL scale for early postoperative mortality in a group of patients undergoing valve surgery.

Patients and Methods

This prospective study included consecutive patients with hemodynamically significant valvular heart disease (aortic stenosis, aortic regurgitation, mitral stenosis and mitral regurgitation) who underwent heart valve surgery (replacement or repair of the valve/valves, with or without additional procedures) at the Institute of Cardiology, Warsaw, between 2014–2019. The exclusion criteria were: patient age under 18 years; autoimmune diseases, chronic inflammatory bowel, active neoplastic diseases and active endocarditis. The day before surgery, a blood sample for biomarkers was collected from each patient. Complete blood count was performed with K2-EDTA samples, using a Cobas 6000 electronic counter (Roche, Mannheim, Germany). The following data were collected age, gender, body mass index (BMI), comorbidities (atrial fibrillation, chronic obstructive airway disease, coronary artery disease, myocardial infarction, heart failure, current smoker, dyslipidaemia, hypertension, diabetes mellitus, peripheral atherosclerosis, stroke, osteoporosis, chronic kidney disease) the results of echocardiography findings and the assessment of the coronary arteries. The FRAIL scale was used to diagnose the frailty syndrome in every patient before valve surgery. The presence of 3 of the 5 components: fatigue, resistance, aerobics, illness or loss of weight indicated the presence of a frailty. Fatigue was measured by asking patients how much time during the past 1 month they felt tired with responses of “most of the time” or “all of the time” scored 1 point. Resistance was assessed by asking patients if they had any difficulty walking up 10 steps alone without resting and without aids. Ambulation by asking patients if they had any difficulty walking several hundreds of meters alone and without aids, “yes” responses were each scored as 1 point. Illness was scored 1 for patients who reported 5 or more concomitant illnesses. Loss of weight was scored 1 for respondents with a weight decline of 5 kg or greater within the past 12 months based on self-report.16 All procedures were performed through a midline sternotomy incision under general anaesthesia in a normothermia. During the operation, all patients were given cold blood cardioplegia at the initial dose of 15–20 mL/kg followed by booster doses of 5–10 mL/kg every 20 minutes. The primary end-point was death from all causes in 30-day follow-up. All patients were followed by direct observation during hospitalization, telephone interviews, or clinic visits for 30 days after the surgery. Before entering the study, each patient gave informed written consent to participate in the study. The protocol was approved by The Institutional Ethics Committee (Institute of Cardiology, Warsaw, Poland). The research was carried out in accordance with the Declaration of Helsinki.

Statistical Analysis

Data are presented as medians with ranges if continuous, or as frequencies if categorical. Spearman’s rank correlation coefficient was used to search for associations between the FRAIL scale and selected variables. Binary logistic regression was used to assess relationships between variables. The following covariates were investigated for association with the primary end-point in univariate analysis: age, atrial fibrillation, body mass index, chronic kidney disease, chronic obstructive airway disease, coronary artery disease, current smoker, dyslipidaemia, FRAIL scale result, hypertension, diabetes mellitus, left ventricular ejection fraction, peripheral atherosclerosis, previous myocardial infarction, stroke or TIA history, tricuspid annulus plane systolic excursion, mean corpuscular volume, platelets, red blood cell count (RBC), red cell distribution width (RDW), mean platelet volume, white blood cell count. Significant determinants (p < 0.05) identified from univariate analysis were subsequently entered into multivariate models. Receiver operating characteristic (ROC) curves were plotted for the EuroSCORE II alone, and for the combined model of EuroSCORE II and frailty syndrome for 30-day survival following valve surgery. The additional predictive value of frailty syndrome was assessed by a comparison of the areas under the ROC of the respective curves.

Results

The study included 672 patients (381 men, 291 women; mean age 64 ± 12.5 years) who underwent replacement or repair of valve/valves. In 313 patients, a biological valve prosthesis was implanted, and in 261, a mechanical valve. In 22 patients, the frailty syndrome was diagnosed. Baseline characteristics of the patients are presented in Table 1. Twenty-five patients died during the 30-day follow-up (as a result of gradually increasing multi-organ failure). The actual 30-day mortality was 3.7% vs mortality 3.5% predicted by the EuroSCORE II. Statistically significant predictors of primary end-point at univariate analysis are presented in Table 2. At multivariate analysis, FRAIL scale result (OR 2.802; 95% CI 1.275–6.157; p = 0.01) and RDW (OR 1.810; 95% CI 1.181–2.775; p = 0.006) were associated with the occurrence of death. The type of implanted valve did not affect the occurrence of the end point. Moreover, there was no significant difference in the occurrence of the endpoint in terms of gender. A positive correlation was found between the level of FRAIL scale and CRP (r = 0.4; p < 0.001), BMI (r = - 0.2; p < 0.01), RDW (r = 0.2; p < 0.001), creatinine (r = 0.1; p = 0.002), RBC (r = - 0.2; p < 0.001) and NT-proBNP (r = 0.2; p < 0.001). FRAIL scale in patients undergoing heart valve surgery when combined with EuroSCORE II predicted the 30-day mortality better (area under receiver operator characteristic curve [AUROC] = 0.870; 95% CI 0.828–0.920) compared to EuroSCORE II alone (AUROC = 0.805; 95% CI 0.757–0.853) (p = 0.001).
Table 1

Baseline Characteristics of the Study Population

Preoperative Characteristics of Patients (n=672)Values
Age, years*64 ± 12
Male: men, n (%)381 (57%)
Frailty syndrome, n (%)22 (3%)
FRAIL scale,
 One point, n (%)41 (6%)
 Two points, n (%)25 (3%)
 Three points, n (%)15 (2%)
 Four points, n (%)6 (1%)
 Five points, n (%)1 (0.2%)
Previous myocardial infarction, n (%)58 (7%)
Stroke in history, n (%)40 (6%)
Atrial fibrillation, n (%)283 (42%)
Peripheral atherosclerosis, n (%)32 (5%)
Diabetes mellitus, n (%)105 (16%)
Hypertension, n (%)412 (61%)
Current smoker, n (%)133 (20%)
Hyperlipidaemia, n (%)222 (33%)
Body mass index, kg/m2*27.9 ± 5.928 ± 6
Chronic obstructive airways disease, n (%)31 (5%)
Chronic kidney disease(GFR< 60 mL/min/1,73 m2), n (%)196 (29%)
LV ejection fraction, (%)*57 ± 10
NYHA, classes*2.4 ± 0.5
Pulmonary blood pressure, mmHg*43 ± 7
EuroSCORE II*3.5 ± 2.3
Hemoglobin, g/dL*13.7 ± 1.7
Red cell distribution width, (%)*13.8 ± 1.3
Red blood cell count, mln/uL4.5 ± 0.5
MPV, fL*11.1 ± 1.2
NT-proBNP, pg/mL*1803 ± 1194
Hs-TnT, ng/L*35 ± 29
Hs-CRP, mg/dL*0.5 ± 0.3
Postoperative characteristics of patientsValues
 Aortic cross-clamp time, min*92 ± 38
 Cardiopulmonary bypass time, min*116 ± 55
Main surgical procedures
 AVR, n (%)281 (41%)
 AVP, n (%)22 (3%)
 MVR, n (%)187 (28%)
 MVP, n (%)119 (18%)
 AVR+MVR, n (%)53 (8%)
 AVP + MVP, n (%)10 (2%)

Notes: Values are represented by the mean* and a measure of the variation of the internal standard deviation.

Abbreviations: AVR, aortic valve replacement; AVP, aortic valve plasty; MVR, mitral valve replacement; MVP, mitral valve plasty; GFR, glomerular filtration rate; Hs-CRP, high-sensitivity c-reactive protein; Hs-TnT, high-sensitivity troponin T; LV, left ventricle; NT-proBNP, n-terminal of the prohormone brain natriuretic peptide; MPV, mean platelet volume; NYHA, New York Heart Association.

Table 2

Univariate Analysis of Predictive Factors for the Occurrence of Death

VariableOdds Ratio95% CIp-value
Age, years*1.0081.043–1.1340.0001
FRAIL scale, n3.5222.626–4.725<0.0001
RBC, mln/ul*0.2020.101–0.303<0.0001
RDW, %*1.3831.199–1.595<0.0001

Notes: Values are represented by the mean* and a measure of the variation of the internal standard deviation.

Abbreviations: RBC, red blood cell count; RDW, red cell distribution width.

Baseline Characteristics of the Study Population Notes: Values are represented by the mean* and a measure of the variation of the internal standard deviation. Abbreviations: AVR, aortic valve replacement; AVP, aortic valve plasty; MVR, mitral valve replacement; MVP, mitral valve plasty; GFR, glomerular filtration rate; Hs-CRP, high-sensitivity c-reactive protein; Hs-TnT, high-sensitivity troponin T; LV, left ventricle; NT-proBNP, n-terminal of the prohormone brain natriuretic peptide; MPV, mean platelet volume; NYHA, New York Heart Association. Univariate Analysis of Predictive Factors for the Occurrence of Death Notes: Values are represented by the mean* and a measure of the variation of the internal standard deviation. Abbreviations: RBC, red blood cell count; RDW, red cell distribution width. The areas under ROC curves of EuroSCORE II and the combined model preoperative FRAIL scale + EuroSCORE II for 30-day survival are shown in Figure 1. The major complications after surgery occurred in 134 patients (postoperative renal failure in 39 patients, prolonged mechanical ventilation in 88 patients, stroke in 24 patients, hemodynamic instability in 126 patients, multi-organ failure in 67 patients. In 46 patients occurred more than one major complications).
Figure 1

Areas under receiver operator characteristic (ROC) curves of EuroSCORE II (ES II) and combined model EuroSCORE II + FRAIL scale (ES II + FS) for 30-day survival following valve surgery.

Areas under receiver operator characteristic (ROC) curves of EuroSCORE II (ES II) and combined model EuroSCORE II + FRAIL scale (ES II + FS) for 30-day survival following valve surgery.

Discussion

The frailty syndrome is a serious health problem for an aging population. The FRAIL scale alongside Frailty index, Strawbridge questionnaire, FRAIL scale, Clinical Frailty Scale, Edmonton Frail Scale or Fried scale is one of the tools used to reliably assess the occurrence of the frailty syndrome.5,6 The name of this subjective, simple tool recommended by the International Association of Nutrition and Aging is an acronym formed from the first letters of the English names of its 5 components: fatigue, resistance, aerobic, the occurrence of illnesses (illness) and loss of weight.5,6,16 The occurrence of frailty in the group of symptomatic patients with valvular heart disease may have additional clinical implications.7,11 So far, it has been demonstrated so far that the frailty syndrome is an independent predictor of death mainly in the elderly patients with aortic stenosis undergoing interventional treatment as well as in the group of patients with mitral regurgitation treated percutaneously.7,11,17,20 Also described that frailty indices such as 5-m walk test, Elderly Mobility Scale and handgrip strength as well as normalized values of psoas muscle area (PSA) and psoas muscle volume (PSV) using computed tomography (CT) scans were characterized by strong prediction ability of occurrence death after transcatheter aortic valve implantation (TAVI) in long-term follow-up.21,22 However, there is no unambiguous information on the impact of the onset of the frailty syndrome in the early postoperative period in the general group of symptomatic patients undergoing heart valve surgery. Moreover, the usefulness of the FRAIL scale in the stratification of operational risk in this group of patients has not been described so far. In the presented study it was shown that the FRAIL scale is an independent predictor of death in a 30-day observation in a group of patients undergoing heart valve surgery. In addition, the FRAIL scale added to the ES II calculation result significantly improves its predictive power. Available literature indicates significant limitations on both the EuroSCORE scale, the revised version – EuroSCORE II and the American STS due to insufficient calibration and discrimination of these calculators.12,15,23 So far, it has been shown that parameters such as RDW, RBC or troponin T can improve the predictive power of commonly known risk calculators.24,26 The presented study showed that the frailty syndrome diagnosed using the FRAIL scale indicating a reduced human physiological reserve may be one of the factors playing a decisive role in the qualification of patients with valvular heart disease for further treatment. Noteworthy is the significant correlation between the FRAIL score and the hs-CRP inflammation parameter, which may confirm that one of the causes of frailty syndrome is a chronic inflammatory process. In the presented study, also the RDW parameter (described in the literature as an indicator of human physiological reserve) was also an independent predictor of death during the 30-day observation period, and was also significantly correlated with the FRAIL score.27 The presented work touches on the subject of preoperative exponents of human physiological reserve, which are undoubtedly very important in stressful situations, such as cardiac surgery. Elevated values of the FRAIL scale or the RDW parameter reflecting the reduced physiological reserve may explain the more frequent occurrence of deaths in the early postoperative period. This study has some potential limitations. This is a single-center study with a limited number of patients, short follow-up period and a wide age range of patients studied. In future studies, enlarging the group may allow to confirm the obtained results. Further studies are needed regarding the usefulness of an indicator of a patient’s physiologic reserve.

Summary

The results of the present study showed FRAIL scale to be a useful parameter for estimating risk in patients undergoing heart valve surgery. Moreover, the predictive ability of the FRAIL scale, assessed by the area under the ROC curve, may also improve the predictive ability of the EuroSCORE II calculator. The results of our research may be helpful in the perioperative strategy in patients with valvular heart disease.
  25 in total

Review 1.  Susceptibility to critical illness: reserve, response and therapy.

Authors:  J F Bion
Journal:  Intensive Care Med       Date:  2000       Impact factor: 17.440

2.  Impact of Frailty Markers for Unplanned Hospital Readmission Following Transcatheter Aortic Valve Implantation.

Authors:  Mike Saji; Ryosuke Higuchi; Tetsuya Tobaru; Nobuo Iguchi; Shuichiro Takanashi; Morimasa Takayama; Mitsuaki Isobe
Journal:  Circ J       Date:  2017-12-29       Impact factor: 2.993

3.  What would make a definition of frailty successful?

Authors:  Kenneth Rockwood
Journal:  Age Ageing       Date:  2005-09       Impact factor: 10.668

4.  Relevance of G8 scale in referring elderly patients with aortic stenosis requiring a TAVI for a geriatric consultation.

Authors:  Albane de Thézy; Aurélie Lafargue; Lydie d'Arailh; Marina Dijos; Lionel Leroux; Nathalie Salles; Muriel Rainfray
Journal:  Geriatr Psychol Neuropsychiatr Vieil       Date:  2017-12-01

5.  EuroSCORE performance in valve surgery: a meta-analysis.

Authors:  Alessandro Parolari; Lorenzo L Pesce; Matteo Trezzi; Laura Cavallotti; Samer Kassem; Claudia Loardi; Davide Pacini; Elena Tremoli; Francesco Alamanni
Journal:  Ann Thorac Surg       Date:  2010-03       Impact factor: 4.330

6.  Importance of Geriatric Nutritional Risk Index assessment in patients undergoing transcatheter aortic valve replacement.

Authors:  Kenichi Shibata; Masanori Yamamoto; Seiji Kano; Yutaka Koyama; Tetsuro Shimura; Ai Kagase; Sumio Yamada; Toshihiro Kobayashi; Norio Tada; Toru Naganuma; Motoharu Araki; Futoshi Yamanaka; Shinichi Shirai; Kazuki Mizutani; Minoru Tabata; Hiroshi Ueno; Kensuke Takagi; Akihiro Higashimori; Yusuke Watanabe; Toshiaki Otsuka; Kentaro Hayashida
Journal:  Am Heart J       Date:  2018-05-15       Impact factor: 4.749

7.  The usefulness of selected biomarkers in aortic regurgitation.

Authors:  Piotr Duchnowski; Tomasz Hryniewiecki; Mariusz Kuśmierczyk; Piotr Szymański
Journal:  Cardiol J       Date:  2018-09-20       Impact factor: 2.737

8.  Predictive value of high-sensitivity troponin T in addition to EuroSCORE II in cardiac surgery.

Authors:  Liisa Petäjä; Helge Røsjø; Leena Mildh; Raili Suojaranta-Ylinen; Kirsi-Maija Kaukonen; Janne J Jokinen; Markku Salmenperä; Tor-Arne Hagve; Torbjørn Omland; Ville Pettilä
Journal:  Interact Cardiovasc Thorac Surg       Date:  2016-03-16

9.  The usefulness of selected biomarkers in patients with valve disease.

Authors:  Piotr Duchnowski; Tomasz Hryniewiecki; Mariusz Kuśmierczyk; Piotr Szymański
Journal:  Biomark Med       Date:  2018-12-06       Impact factor: 2.851

10.  Frailty syndrome diagnosed according to the Study of Osteoporotic Fractures (SOF) criteria and adverse health outcomes among community-dwelling older outpatients in Italy. A one-year prospective cohort study.

Authors:  Claudio Bilotta; Paola Nicolini; Alessandra Casè; Gloria Pina; Silvia Rossi; Carlo Vergani
Journal:  Arch Gerontol Geriatr       Date:  2011-08-25       Impact factor: 3.250

View more
  7 in total

1.  Diagnostic performance of quantitative flow ratio, non-hyperaemic pressure indices and fractional flow reserve for the assessment of coronary lesions in severe aortic stenosis.

Authors:  Cameron Dowling; Michael Michail; Jun Michael Zhang; Andrea Comella; Udit Thakur; Robert Gooley; Liam McCormick; Adam J Brown; Dennis T L Wong
Journal:  Cardiovasc Diagn Ther       Date:  2022-06

Review 2.  Surgical Timing in Patients With Infective Endocarditis and With Intracranial Hemorrhage: A Systematic Review and Meta-Analysis.

Authors:  Rita Musleh; Peter Schlattmann; Túlio Caldonazo; Hristo Kirov; Otto W Witte; Torsten Doenst; Albrecht Günther; Mahmoud Diab
Journal:  J Am Heart Assoc       Date:  2022-05-16       Impact factor: 6.106

3.  Hypertension and Diabetes Status by Patterns of Stress in Older Adults From the US Health and Retirement Study: A Latent Class Analysis.

Authors:  Jessica R Fernandez; Francisco A Montiel Ishino; Faustine Williams; Natalie Slopen; Allana T Forde
Journal:  J Am Heart Assoc       Date:  2022-06-14       Impact factor: 6.106

4.  Machine Learning-Based Risk Model for Predicting Early Mortality After Surgery for Infective Endocarditis.

Authors:  Li Luo; Sui-Qing Huang; Chuang Liu; Quan Liu; Shuohui Dong; Yuan Yue; Kai-Zheng Liu; Lin Huang; Shun-Jun Wang; Hua-Yang Li; Shaoyi Zheng; Zhong-Kai Wu
Journal:  J Am Heart Assoc       Date:  2022-06-03       Impact factor: 6.106

5.  The Role of Cumulative Mean Arterial Pressure Levels in First Stroke Events Among Adults with Hypertension: A 10-Year Prospective Cohort Study.

Authors:  Dan Wang; Jiaqi Wang; Jiali Liu; Yu Qin; Peian Lou; Yongqing Zhang; Yuqing Zhang; Quanyong Xiang
Journal:  Clin Epidemiol       Date:  2022-05-04       Impact factor: 5.814

6.  Association Between High-Sensitivity Troponin T on Admission and Organ Dysfunction During Hospitalization in Patients Aged 80 Years and Older with Hip Fracture: A Single-Centered Prospective Cohort Study.

Authors:  Zhi-Jun Qin; Qian-Yun Wu; Yang Deng; Xia Li; Xuan-Di Wei; Cheng-Jie Tang; Jun-Feng Jia
Journal:  Clin Interv Aging       Date:  2021-04-06       Impact factor: 4.458

7.  Relationship Between the Hemoglobin-to-Red Cell Distribution Width Ratio and All-Cause Mortality in Ischemic Stroke Patients with Atrial Fibrillation: An Analysis from the MIMIC-IV Database.

Authors:  Zuoan Qin; Nuohan Liao; Xuelin Lu; Xiangjie Duan; Quan Zhou; Liangqing Ge
Journal:  Neuropsychiatr Dis Treat       Date:  2022-02-18       Impact factor: 2.570

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.