Ferric Carboxymaltose in Patients with Acute Decompensated Heart Failure and Iron Deficiency: A Real-Life Study
by
, , , , and
Federico Capone
1,*,
Alberto Cipriani
2,
Leonardo Molinari
1,
Marianna Noale
3
,
Beatrice Gusella
1,
Fabrizio Lucente
1,
Sandro Savino
1,
Antonella Bertomoro
1,
Alois Saller
1,
Sandro Giannini
1
and
Roberto Vettor
1 1
Department of Medicine (DIMED), University of Padua, Via Giustiniani, 2, 35128 Padova, Italy
2
Department of Cardiac, Thoracic and Vascular Sciences, Padua University Hospital, 35128 Padua, Italy
3
National Research Council (CNR), Neuroscience Institute, Aging Branch, 35128 Padua, Italy
*
Author to whom correspondence should be addressed.
J. Pers. Med. 2023, 13(8), 1250; https://doi.org/10.3390/jpm13081250
Submission received: 4 July 2023
/
Revised: 28 July 2023
/
Accepted: 2 August 2023
/
Published: 12 August 2023
(This article belongs to the Section Clinical Medicine, Cell, and Organism Physiology)
Abstract
:Background: The correction of iron deficiency (ID) with ferric carboxymaltose (FCM) is a recommended intervention in heart failure (HF) with reduced ejection fraction. Our aim is to evaluate, in a real-life setting, the clinical significance of ID screening and FCM treatment in acute decompensated HF (ADHF). Methods: In a cohort of ADHF patients, the prevalence of ID and FCM administration were investigated. Among the 104 patients admitted for ADHF, in n = 90 (median age 84, 53.5% with preserved left ventricular ejection fraction—LVEF), a complete iron status evaluation was obtained. ID was detected in n = 73 (81.1%), 55 of whom were treated with in-hospital FCM. The target dose was reached in n = 13. Results: No significant differences were detected in terms of age, sex, comorbidities, or LVEF between the FCM-supplemented and -unsupplemented patients. During a median follow-up of 427 days (IQR 405–466) among the FCM-supplemented patients, only 14.5% received FCM after discharge; the mortality and rehospitalizations among FCM-supplemented and -unsupplemented patients were similar (p = ns). In a follow-up evaluation, ID was still present in 75.0% of the FCM-supplemented patients and in 69.2% of the unsupplemented patients (p = ns). Conclusions: In this real-life ADHF cohort, FCM was administered at lower-than-prescribed doses, thus having no impact on ID correction. The significance of our findings is that only achieving the target dose of FCM and pursuing outpatient treatment can correct ID and produce long-term clinical benefits.
1. Introduction
Iron deficiency (ID) is common in heart failure (HF) [1,2], and it is associated with an increased hospitalization and mortality risk [3], reduced exercise tolerance, and poor quality of life [4,5], regardless of the presence of anemia.
The detrimental effects of ID in HF, both in the short- and long-term, include reduced cellular energy generation in the mitochondria and restricted myoglobin production [6,7]. Oral iron supplementation in HF has been shown to be ineffective, possibly due to the coexistence of chronic systemic inflammation, elevated levels of hepcidin, and functional ID [8].
In several clinical trials, intravenous iron supplementation has been shown to be a low-risk intervention capable of improving symptom burden and the quality of life in patients with ID and chronic HF with a reduced ejection fraction (HFrEF) [8,9,10,11,12], yielding the appearance of recommendations regarding ID diagnosis and treatment into international HF guidelines [13,14,15]. A subsequent meta-analysis of four RCTs showed a benefit on recurrent cardiovascular hospitalizations and cardiovascular mortality in patients with ID and HFrEF [16].
Despite the consistent body of evidence supporting iron supplementation in these patients, this treatment is seldom administered in every-day clinical practice: the RAID-HF follow-up study demonstrated the impact of ID in chronic HFrEF on long-term (1-year) mortality and quality of life [17], showing that only a minority of patients received iron supplementation in a real-world cohort. Regarding acute decompensated heart failure (ADHF), the AFFIRM-AHF randomized controlled trial demonstrated how supplementation with ferric carboxymaltose (FCM) improves heart failure readmission rates in patients with reduced left ventricle ejection fraction (LVEF) and concomitant ID and ADHF [18]. However, real-life data concerning the impact of iron supplementation on ADHF are lacking. Moreover, clear data on the effects of iron supplementation on ID associated with HF with a preserved ejection fraction (HFpEF) are scant, although there is some evidence of a benefit in this population [19].
Aim of the Study
The purpose of this study was to perform a real-life analysis of ID screening and iron supplementation in patients with ADHF and ID, with and without anemia. The study further aimed to investigate the effects of in-hospital and follow-up iron supplementation on mortality and readmission rates in patients admitted for ADHF and ID.
2. Methods
This was a retrospective observational study on a real-life cohort of patients hospitalized for ADHF in the Internal Medicine Department of the Azienda Ospedale Università Padova (Italy), between 1 October 2019 and 3 March 2020.
The diagnosis of HF was based on the presence of signs and/or symptoms (declivous edema, pulmonary congestion, jugular swelling, shortness of breath, and reduced exercise tolerance), ultrasound findings (inferior vena cava dilatation and pulmonary congestion), blood tests, and echocardiography. The diagnosis of HFpEF required the presence of structural and/or functional cardiac abnormalities in the presence of a normal (≥50%) LVEF. Cardiac abnormalities included left ventricle (LV) hypertrophy, indirect signs of increased filling pressures (abnormal cardiac chamber enlargement, impaired LV tissue Doppler velocity), or moderate/severe valvular defects. For HFrEF, an LVEF of ≤40% was required, while patients with an LVEF between 41 and 49% were considered affected by HF with mildly reduced EF (HFmrEF). The diagnosis of HF was supported by either elevated circulating levels of natriuretic peptides (NPs) or radiological/hemodynamic evidence of congestion.
Furthermore, we collected clinical data, anamnestic data, and blood tests at admission and hospital discharge.
During the hospital stay, the attending physicians were free to investigate iron deficiency and prescribe iron supplementation. The total dose of FCM administered to each patient was recorded and compared to the expected target dose for that specific patient based on their hemoglobin level and body weight (according to the CONFIRM HF dosing schedule [10]—Supplemental Table S1).
The medical history, clinical data, blood test results and imaging findings were collected after informed consent was obtained (as per internal clinical protocol) and managed by the medical staff using electronic data capture tools hosted at the University of Padova. All the clinical investigations were conducted in compliance with the Declaration of Helsinki (2001). The ethical approval was waived by the local Ethics Committee of the University of Padova in view of the retrospective nature of the study, and because all the procedures performed were part of the routine care.
The data collected on admission were: age, sex, body mass index (BMI), Barthel index [20], Charlson Comorbidity Index (CCI) [21], main comorbidities, home therapy, New York Heart Association (NYHA) functional class [22], modified British Medical Research Council (mMRC) questionnaire [23], and LVEF.
The laboratory tests performed during hospitalization were recorded. The first available results among those collected during the hospital stay were included in the analysis. In particular, we assessed the presence of ID (defined as ferritin < 100 μg/L, or 100–299 μg/L with transferrin saturation < 20%) by measuring ferritin and transferrin saturation (TSAT) on admission [15]. According to the WHO criteria, anemia was defined as a hemoglobin (Hb) concentration below 7.5 mmol/L (120 g/L) in non-pregnant women and below 8.1 mmol/L (130 g/L) in men [24].
We subsequently interviewed by telephone patients whose iron status had been assessed during hospitalization. Telephone calls were performed to assess their clinical status and to schedule outpatient evaluations. The collection of clinical information and incident major cardiovascular events using recurrent telephone interviews was preferred over in-person evaluations in consideration of the ongoing COVID-19 pandemic during the follow-up. Between discharge and the follow-up evaluation, patients were treated according to the current clinical practice of the general practitioner/outpatient specialist. The data collected during follow-up were: iron status, iron supplementation after discharge, mortality, readmission for cardiovascular causes, and readmission for all causes. A blood test set was proposed to the responding patients in order to further investigate iron status at the time of follow-up. All the patients found to be iron deficient were offered an additional intravenous supplementation with FCM at our day hospital, according to current indications [25].
2.1. Outcomes
The primary endpoint was to evaluate the prevalence of ID in ADHF patients in a real-life survey and to register the frequency and modality of iron supplementation in this setting.
The study also aimed to investigate the effects of in-hospital and follow-up iron supplementation on mortality and readmission rates in patients admitted for ADHF and ID.
In the latter, we distinguished between readmissions for HF and cardiovascular events (non-fatal stroke, non-fatal myocardial infarction) and all-cause readmissions.
Further secondary endpoints included: variations in the iron profiles during the follow-up between the supplemented and unsupplemented patients; differences in mortality and readmission rates according to LVEF; differences within and between the groups regarding ferritin, TSAT, and Hb values; and differences in the outcomes between the patients supplemented only during hospitalization and the patients supplemented also after discharge.
2.2. Statistical Analysis
Data are presented as the means and standard deviation (SD) or the median (interquartile range (IQR)) for the continuous variables, and as absolute numbers (percentages) for the categorical ones. The normality of the continuous variables distributions was tested through the Shapiro–Wilk test.
The differences in participant characteristics according to ID status, FCM supplementation, and LVEF were evaluated considering Chi-squared or Fisher’s exact tests and generalized linear models, after testing for homoscedasticity (Levene test) or the Wilcoxon rank-sum test, for the categorical and continuous variables, respectively.
Kaplan–Meier analyses and log-rank tests were performed to evaluate the association between ID and death from all causes, and the association between FCM supplementation in ID patients and hospitalizations (first events, total, and only for HF or cardiovascular events), considering deaths before possible hospitalizations as censored events.
Mixed-effects models were defined to evaluate the changes in ferritin, TSAT, and Hb, according to FCM supplementation and time. Compound symmetry covariance structure and a Tukey adjustment for multiple comparisons were considered. Two-tail p values < 0.05 were considered statistically significant. The analyses were performed using the SAS statistical package, version 9.4 (SAS Institute Inc., Cary, NC, USA).
3. Results
Baseline Characteristics
During the study period, 104 ADHF patients were admitted to our medical unit. A complete iron status evaluation (including Hb, ferritin, and TSAT) was obtained for 90 patients (male n = 57, 63.3%; mean age 82.7 ± 9.7) that represented our study population (Figure 1).
A comparison between the baseline characteristics and medications of the patients with or without ID is presented in Table 1. ID was present in 73 patients (81.1%). The prevalence of anemia was 69.9% among the patients with ID and 52.9% in the patients without ID (p = 0.18). In 25 patients the LVEF was ≤40% (HFrEF, 29.0%), while in n = 15 the LVEF was between 41 and 49% (HF with mildly reduced EF—HFmrEF, 17.5%), and in 46 patients it was ≥50% (HFpEF, 53.5%). There was no statistically significant difference in the demographic (age, sex), clinical (Barthel index, CCI, comorbidities), functional (NYHA, mMRC class) or baseline characteristics when both patient groups were compared (Table 1). No differences were observed for BNP or eGFR between the two groups. Patients suffering from ID had lower Hb levels (113.4 ± 20.1 g/L vs. 127.9 ± 17.0 g/L; p = 0.007) than those with normal iron status.
Among the n = 73 patients with ID, 55 (75.3%) were treated with FCM (FCM-supplemented group). The target dose was reached in 13 patients (23.6%) during hospitalization. The clinical characteristics of the FCM-supplemented group versus the FCM-unsupplemented group are presented in Table 2.
Follow-up data were obtained after a median of 427 days (IQR 405–466) from discharge. At the study’s closure (15 May 2021), the fatal and non-fatal outcomes were known for all except for eight patients lost in the follow-up (Figure 1).
Among the 55 patients treated with FCM during their hospital stay, three were lost in the follow-up; eight patients (14.5%) were also supplemented with FCM after discharge. The mean total dose of FCM administered during the study (including outpatient administered doses) was 854 mg. When comparing the FCM-supplemented with the FCM-unsupplemented group, no statistical significance in mortality was found: in the FCM-supplemented group, a total of n = 10 (19.2%) deaths occurred; n = 3 (20.1%) deaths were observed in the ID-unsupplemented group (Table 3).
A survival analysis related to death for all causes showed no difference between the two groups (patients with ID vs. patients without ID, Log Rank p = ns). Readmission for HF or cardiovascular events occurred in 26 out of 52 (50.0%) ID-patients supplemented at the time of recruitment, and in 5 out of 15 (33.3%) ID-patients unsupplemented (Log Rank p = ns). No statistical differences were observed for both “all cause” (Figure 2) and “HF or cardiovascular events” readmissions (Figure 3) between the supplemented and unsupplemented patients.
Patients with ID who were treated with FCM during their hospital stay showed a longer hospitalization compared to the unsupplemented group (median of 6 days vs. 11 days, p = 0.0002). A sub-analysis did not reveal any statistical differences in the outcomes between patients with LVEF ≤ 50% and the HFpEF group, regardless of whether the patients were supplemented with FCM during hospitalization and/or follow-up (Supplemental Tables S2–S4).
During follow-up, a blood test set was obtained from n = 35 patients (38.9%), of which n = 24 (26.6%) belonged to the FCM-supplemented group. The median time between iron supplementation and blood test evaluation was 438 days (IQR 401–465). The estimated mean change from baseline to week 61 in Hb was 13.8 g/L in the FCM-supplemented group and 2.7 g/L in the unsupplemented group (Table 4).
Compared to the unsupplemented group, both serum ferritin (Supplemental Figure S1) and TSAT (Supplemental Figure S2) increased in the supplemented group. Ferritin increased by a mean of 78 µg/L in the patients supplemented during follow-up (p = 0.0015); the median ferritin decreased by 124 µg/L in the patients that did not receive iron supplementation during follow-up (p < 0.0001). The TSAT increased by 8.7% in the FCM-supplemented group and by 3.7% in the unsupplemented group during follow-up (p = 0.026); no significant differences were obtained in the unsupplemented group. Nevertheless, ID was present in 75.0% of the FCM-supplemented patients and 69.2% of the unsupplemented patients (p = ns).
Examining in-depth the effect of follow-up supplementation, independently from the in-hospital administration of FCM, we found that among the ID patients (n = 67), only eight were supplemented during follow-up. Among the 59 patients who did not receive FCM during follow-up, 12 died. On the contrary, all the outpatients to whom iron was administered survived (p = 0.013).
4. Discussion
ID is associated with worse outcomes in patients suffering from HF. Iron supplementation has been proven to be effective in improving symptoms, mortality, and readmission rates in patients with HFrEF, both in acute and chronic settings. The findings, nevertheless, mainly come from randomized controlled trials. Real-life data, especially regarding the effects on patients hospitalized for ADHF, are scant. We aimed to investigate how often ID screening and FCM administration were conducted in patients admitted for ADHF in clinical practice. Secondarily, we analyzed how effective the observed FCM administration was in reducing readmission rates and mortality in clinical practice.
We conducted a real-life analysis, tracing a cohort of 104 patients admitted for ADHF, 90 of whom received a complete evaluation of their iron status. Half of them had HFpEF. Among the vast majority of patients affected by ID (81.1% of the study population), three-quarters (n = 55) were treated with iron (FCM-supplemented group); the remaining were not (FCM-unsupplemented group). However, the target dose was only administered in n = 13 (23.6%). After a year of follow-up, our main findings are: the FCM-supplemented patients received an 854 mg mean dose of FCM and, after a median follow-up of 427 days, this resulted in significantly higher levels of ferritin, TSAT, and Hb. This improvement in iron storage, however, was not enough to significantly exceed the threshold of ID: the prevalence of ID was similar in the FCM-supplemented and -unsupplemented patients at the end of the follow-up. These results are significant, as they reveal that in real life, patients are often treated with FCM only during hospitalization, so no significant improvement in long-term iron status is achieved.
The FCM-supplemented and FCM-unsupplemented groups showed similar mortality and readmissions for HF or cardiovascular events. A subgroup analysis showed no difference in the outcome between patients with a LVEF above or below 50%. The FCM-supplemented patients showed a longer length of stay compared to the unsupplemented ones. This was maybe due to a more severe burden of comorbidities in the supplemented patients (a higher proportion suffered from COPD and their Hb levels were lower, Table 2), even if the HF severity was similar.
Why was iron supplementation not effective in improving the outcomes in our cohort? Several explanations may be provided. First of all, the prescribed target dose of FCM [25] was only reached in a minority of our patients. Target-dose achievement often requires a double injection of FCM with a 7-day minimum timespan between the two administrations. The median length of stay in our cohort was 9 days; this prevented a full-dose correction during hospitalization in several cases. Moreover, ID was often neglected during the long-term follow-up: only 14.5% of the in-hospital FCM-supplemented patients received iron after discharge. A lack of awareness of the importance of ID in HF by general practitioners and the absence of a dedicated service for outpatient iron administration limited the prescription of FCM injections after discharge. This resulted in a non-significant reduction in ID prevalence at the end of the follow-up in the FCM-supplemented patients. The persistence of ID in the long-term most likely contributed to the ineffectiveness of FCM supplementation in determining an outcome improvement. ID is undoubtedly a chronic condition in patients suffering from an inflammatory condition, as HF is proven to be. An isolated, underpowered iron administration can only result in the persistence of ID: if ID persists, an outcome improvement cannot be achieved.
When comparing our population with the larger and more heterogeneous one recruited in the AFFIRM-HF trial, the first main difference to highlight concerns sample size. Our study was designed to provide a snapshot of the current clinical practice in ID screening and supplementation in Western country referral hospitals. The sample size was not sufficient to provide enough statistical power for a survival analysis and/or recurrent hospitalization comparison. Nevertheless, the data presented here highlight the importance of proper ID supplementation to achieve a reasonable and cost-effective Number Needed to Treat (NNT). The second difference with the AFFIRM-HF trial is LVEF. The patients enrolled in the trial were all affected by HFrEF. On the contrary, only half of the patients included in our analysis showed an LVEF < 50%. Despite not being endorsed by any of the most recent HF guidelines [15], in our institution it was decided to also administer FCM in HFpEF patients. The data from the literature are not unequivocal on the benefits resulting from iron supplementation in these patients [19]. Therefore, the lack of effect may be attributed to the presence of patients with a preserved LVEF in our study population.
Some limitations of our work must be acknowledged. The monocentric nature of the observation and the small sample size limit the generalizability of our findings. A significant number of variables have been evaluated to compare the baseline characteristics of the FCM-supplemented and -unsupplemented patients. Except for a statistically significant (but probably, not clinically relevant) higher proportion of COPD patients in the first group, the two populations are comparable. However, it cannot be excluded that unconsidered confounding factors played a role in deflecting the onset of outcome, both during hospitalization and during follow-up.
5. Conclusions
In our real-life cohort, despite an effective ID screening, intravenous iron supplementation was correctly performed only in a minority of iron-deficient ADHF patients. This resulted in a non-significant improvement in ID status after a one-year-long follow-up. Our study was not designed to fully investigate the effect of FCM on mortality or readmission rates, so we cannot make solid conclusions about the effect of the drug on these outcomes. However, it should be noted that in our cohort, FCM administration in ADHF patients with both HFrEF and HFpEF did not improve mortality or readmission rates. This observation may be due to the small sample size, suggesting a high number needing treatment, or an insufficient total iron dose, emphasizing how important it is to achieve the target dose. Furthermore, the ineffectiveness of FCM administration in patients with HFpEF may merit further investigation in properly designed clinical trials. Our findings show that administering an in-hospital low dose of FCM may only result in higher costs without a clinical benefit. Reaching the target dose appears to be essential to improve outcomes. An outpatient dedicated service for identification screening and supplementation in HF is probably crucial to achieve a long-term ID correction, a needed stepstone for mortality and readmission-rate improvement.
Supplementary Materials
The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/jpm13081250/s1, Figure S1: Changes from baseline (time 0) to follow-up (time 1) of ferritin levels in FCM supplemented (solid line) and unsupplemented patients (dashed line); Figure S2: Changes from baseline (time 0) to follow-up (time 1) of TSAT levels in FCM supplemented (solid line) and unsupplemented patients (dashed line); Table S1: Ferric carboxymaltose dosing schedule; Table S2: Follow-up results according to LVEF; Table S3: Follow-up results according to FCM supplementation and LVEF; Table S4: Follow-up results according to LVEF among FCM supplemented patients.
Author Contributions
Study design: all authors; data collection: F.C., L.M., B.G., F.L. and S.S.; statistical analysis: M.N.; data interpretation: F.C., L.M., B.G. and F.L.; manuscript preparation: all authors; literature search: F.C., L.M., B.G. and F.L. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Institutional Review Board Statement
All the clinical investigations were conducted in compliance with the Declaration of Helsinki (2001). Ethical approval was waived by the local Ethics Committee of the University of Padova in view of the retrospective nature of the study and because all the procedures performed were part of routine care.
Informed Consent Statement
Study data and clinical information were collected after informed consent was obtained and managed by medical staff using electronic data capture tools hosted at the University of Padova.
Data Availability Statement
The data are not publicly available as hosted by the restricted hospital database of the Azienda Ospedale Università Padova.
Conflicts of Interest
The authors declare no conflict of interest.
References
- Jankowska, E.A.; Rozentryt, P.; Witkowska, A.; Nowak, J.; Hartmann, O.; Ponikowska, B.; Borodulin-Nadzieja, L.; Banasiak, W.; Polonski, L.; Filippatos, G.; et al. Iron deficiency: An ominous sign in patients with systolic chronic heart failure. Eur. Hearth J. 2010, 31, 1872–1880. [Google Scholar] [CrossRef] [PubMed]
- Von Haehling, S.; Gremmler, U.; Krumm, M.; Mibach, F.; Schön, N.; Taggeselle, J.; Dahm, J.B.; Angermann, C.E. Prevalence and clinical impact of iron deficiency and anaemia among outpatients with chronic heart failure: The PrEP Registry. Clin. Res. Cardiol. 2017, 106, 436–443. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Klip, I.T.; Comin-Colet, J.; Voors, A.A.; Ponikowski, P.; Enjuanes, C.; Banasiak, W.; Lok, D.J.; Rosentryt, P.; Torrens, A.; Polonski, L.; et al. Iron deficiency in chronic heart failure: An international pooled analysis. Am. Hearth J. 2013, 165, 575–582.e3. [Google Scholar] [CrossRef]
- Jankowska, E.A.; Rozentryt, P.; Witkowska, A.; Nowak, J.; Hartmann, O.; Ponikowska, B.; Borodulin-Nadzieja, L.; von Haehling, S.; Doehner, W.; Banasiak, W.; et al. Iron Deficiency Predicts Impaired Exercise Capacity in Patients with Systolic Chronic Heart Failure. J. Card. Fail. 2011, 17, 899–906. [Google Scholar] [CrossRef]
- Enjuanes, C.; Klip, I.T.; Bruguera, J.; Cladellas, M.; Ponikowski, P.; Banasiak, W.; van Veldhuisen, D.J.; van der Meer, P.; Jankowska, E.A.; Comín-Colet, J. Iron deficiency and health-related quality of life in chronic heart failure: Results from a multicenter European study. Int. J. Cardiol. 2014, 174, 268–275. [Google Scholar] [CrossRef] [PubMed]
- Musallam, K.M.; Taher, A.T. Iron deficiency beyond erythropoiesis: Should we be concerned? Curr. Med. Res. Opin. 2018, 34, 81–93. [Google Scholar] [CrossRef] [PubMed]
- Hoes, M.F.; Grote Beverborg, N.; Kijlstra, J.D.; Kuipers, J.; Swinkels, D.W.; Giepmans, B.N.G.; Rodenburg, R.J.; Van Veldhuisen, D.J.; De Boer, R.A.; Van Der Meer, P. Iron deficiency impairs contractility of human cardiomyocytes through decreased mitochondrial function. Eur. J. Heart Fail. 2018, 20, 910–919. [Google Scholar] [CrossRef] [Green Version]
- Okonko, D.O.; Grzeslo, A.; Witkowski, T.; Mandal, A.K.J.; Slater, R.M.; Roughton, M.; Foldes, G.; Thum, T.; Majda, J.; Banasiak, W.; et al. Effect of Intravenous Iron Sucrose on Exercise Tolerance in Anemic and Nonanemic Patients with Symptomatic Chronic Heart Failure and Iron Deficiency: FERRIC-HF: A Randomized, Controlled, Observer-Blinded Trial. J. Am. Coll. Cardiol. 2008, 51, 103–112. [Google Scholar] [CrossRef] [Green Version]
- Anker, S.D.; Comin Colet, J.; Filippatos, G.; Willenheimer, R.; Dickstein, K.; Drexler, H.; Lüscher, T.F.; Bart, B.; Banasiak, W.; Niegowska, J.; et al. Ferric Carboxymaltose in Patients with Heart Failure and Iron Deficiency. N. Engl. J. Med. 2009, 361, 2436–2448. [Google Scholar] [CrossRef] [Green Version]
- Ponikowski, P.; Van Veldhuisen, D.J.; Comin-Colet, J.; Ertl, G.; Komajda, M.; Mareev, V.; McDonagh, T.; Parkhomenko, A.; Tavazzi, L.; Levesque, V.; et al. Beneficial effects of long-term intravenous iron therapy with ferric carboxymaltose in patients with symptomatic heart failure and iron deficiency. Eur. Heart J. 2015, 36, 657–668. [Google Scholar] [CrossRef]
- Beck-Da-Silva, L.; Piardi, D.; Soder, S.; Rohde, L.E.; Pereira-Barretto, A.C.; de Albuquerque, D.; Bocchi, E.; Vilas-Boas, F.; Moura, L.Z.; Montera, M.W.; et al. IRON-HF study: A randomized trial to assess the effects of iron in heart failure patients with anemia. Int. J. Cardiol. 2013, 168, 3439–3442. [Google Scholar] [CrossRef] [PubMed]
- Van Veldhuisen, D.J.; Ponikowski, P.; Van Der Meer, P.; Metra, M.; Böhm, M.; Doletsky, A.; Voors, A.A.; MacDougall, I.C.; Anker, S.D.; Roubert, B.; et al. Effect of Ferric Carboxymaltose on Exercise Capacity in Patients with Chronic Heart Failure and Iron Deficiency. Circulation 2017, 136, 1374–1383. [Google Scholar] [CrossRef] [PubMed]
- Heidenreich, P.A.; Bozkurt, B.; Aguilar, D.; Allen, L.A.; Byun, J.J.; Colvin, M.M.; Deswal, A.; Drazner, M.H.; Dunlay, S.M.; Evers, L.R.; 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. J. Am. Coll. Cardiol. 2022, 79, e263–e421. [Google Scholar] [CrossRef] [PubMed]
- Maddox, T.M.; Januzzi, J.L.; Allen, L.A.; Breathett, K.; Butler, J.; Davis, L.L.; Fonarow, G.C.; Ibrahim, N.E.; Lindenfeld, J.; Masoudi, F.A.; et al. 2021 Update to the 2017 ACC Expert Consensus Decision Pathway for Optimization of Heart Failure Treatment: Answers to 10 Pivotal Issues About Heart Failure with Reduced Ejection Fraction: A Report of the American College of Cardiology Solution Set Oversight Committee. J. Am. Coll. Cardiol. 2021, 77, 772–810. [Google Scholar] [CrossRef] [PubMed]
- McDonagh, T.A.; Metra, M.; Adamo, M.; Gardner, R.S.; Baumbach, A.; Böhm, M.; Burri, H.; Butler, J.; Čelutkienė, J.; Chioncel, O.; et al. 2021 ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure. Eur. Heart J. 2021, 42, 3599–3726. [Google Scholar] [CrossRef] [PubMed]
- Anker, S.D.; Kirwan, B.-A.; van Veldhuisen, D.J.; Filippatos, G.; Comin-Colet, J.; Ruschitzka, F.; Lüscher, T.F.; Arutyunov, G.P.; Motro, M.; Mori, C.; et al. Effects of ferric carboxymaltose on hospitalisations and mortality rates in iron-deficient heart failure patients: An individual patient data meta-analysis. Eur. J. Hearth Fail. 2018, 20, 125–133. [Google Scholar] [CrossRef] [Green Version]
- Wienbergen, H.; for the RAID-HF (Registry Analysis of Iron Deficiency-Heart Failure) Study Group; Pfister, O.; Hochadel, M.; Fach, A.; Backhaus, T.; Bruder, O.; Remppis, B.A.; Maeder, M.T.; von Scheidt, W.; et al. Long-term effects of iron deficiency in patients with heart failure with or without anemia: The RAID-HF follow-up study. Clin. Res. Cardiol. 2019, 108, 93–100. [Google Scholar] [CrossRef]
- Ponikowski, P.; Kirwan, B.-A.; Anker, S.D.; McDonagh, T.; Dorobantu, M.; Drozdz, J.; Fabien, V.; Filippatos, G.; Göhring, U.M.; Keren, A.; et al. Ferric carboxymaltose for iron deficiency at discharge after acute heart failure: A multicentre, double-blind, randomised, controlled trial. Lancet 2020, 396, 1895–1904. [Google Scholar] [CrossRef]
- Martens, P.; Nijst, P.; Verbrugge, F.H.; Smeets, K.; Dupont, M.; Mullens, W. Impact of iron deficiency on exercise capacity and outcome in heart failure with reduced, mid-range and preserved ejection fraction. Acta Cardiol. 2018, 73, 115–123. [Google Scholar] [CrossRef]
- Mahoney, F.I.; Barthel, D.W. Functional Evaluation: The Barthel Index. Md. State Med. 1965, 14, 61–65. [Google Scholar]
- Charlson, M.E.; Pompei, P.; Ales, K.L.; MacKenzie, C.R. A new method of classifying prognostic comorbidity in longitudinal studies: Development and validation. J. Chronic Dis. 1987, 40, 373–383. [Google Scholar] [CrossRef] [PubMed]
- AHA Medical/Scientific Statement. Revisions to classification of functional capacity and objective assessment of patients with diseases of the heart. Circulation 1994, 90, 644–645. [Google Scholar]
- Mahler, D.A.; Wells, C.K. Evaluation of Clinical Methods for Rating Dyspnea. Chest 1988, 93, 580–586. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- WHO. Nutritional Anaemias. Report of a WHO Group of Experts; World Health Organization Technical Report Series; WHO: Geneva, Switzerland, 1972; Volume 503, pp. 1–29.
- McDonagh, T.; Damy, T.; Doehner, W.; Lam, C.S.; Sindone, A.; Van Der Meer, P.; Cohen-Solal, A.; Kindermann, I.; Manito, N.; Pfister, O.; et al. Screening, diagnosis and treatment of iron deficiency in chronic heart failure: Putting the 2016 European Society of Cardiology heart failure guidelines into clinical practice. Eur. J. Hearth Fail. 2018, 20, 1664–1672. [Google Scholar] [CrossRef] [Green Version]
Figure 1.
STROBE diagram of the study population.
Figure 2.
Total readmissions in ID-patients supplemented with FCM (solid line) or unsupplemented (dashed line).
Figure 2.
Total readmissions in ID-patients supplemented with FCM (solid line) or unsupplemented (dashed line).
Figure 3.
Readmissions for heart failure or cardiovascular events in ID-patients supplemented with FCM (solid line) or unsupplemented (dashed line).
Figure 3.
Readmissions for heart failure or cardiovascular events in ID-patients supplemented with FCM (solid line) or unsupplemented (dashed line).
Table 1.
Baseline characteristics on admission, comparing patients with and without ID.
| (n = 90) | With ID (n = 73) | Without ID (n = 17) | p Value | |
|---|---|---|---|---|
| Sex, n (%) | 0.2120 | |||
| Male | 57 (63.3) | 44 (60.3) | 13 (76.5) | |
| Female | 33 (36.7) | 29 (39.7) | 4 (23.5) | |
| Age (years), mean ± SD | 82.7 ± 9.7 | 82.9 ± 8.9 | 82.1 ± 12.7 | 0.7722 |
| BMI, kg/m2, mean ± SD | 27.1 ± 5.9 | 26.9 ± 5.7 | 28.2 ± 6.9 | 0.4822 |
| Barthel index, mean ± SD | 48.5 ± 25.5 | 49.1 ± 27.0 | 45.9 ± 18.6 | 0.6447 |
| CCI, n (%) | 0.6928 | |||
| 0 | 0 (0.0) | 0 (0.0) | 0 (0.0) | |
| 1 | 12 (13.5) | 9 (12.5) | 3 (17.7) | |
| 2+ | 77 (86.5) | 63 (87.5) | 14 (82.4) | |
| Comorbidities, n (%) | ||||
| Coronary artery disease | 46 (51.1) | 39 (53.4) | 7 (41.2) | 0.3629 |
| Hypertension | 72 (80.0) | 57 (78.1) | 15 (88.2) | 0.5068 |
| COPD | 45 (50.0) | 35 (48.0) | 10 (58.8) | 0.4191 |
| Diabetes Mellitus | 35 (38.9) | 28 (38.4) | 7 (41.2) | 0.8299 |
| Malignancy | 24 (26.7) | 20 (27.4) | 4 (23.5) | 1.0000 |
| AF/AFL | 21 (23.3) | 17 (23.3) | 4 (23.5) | 1.0000 |
| Chronic Kidney Disease | 16 (17.8) | 12 (16.4) | 4 (23.5) | 0.4925 |
| Medications, n (%) | ||||
| ACEi/ARB | 41 (45.6) | 34 (46.6) | 7 (41.2) | 0.6873 |
| Betablockers | 55 (61.1) | 46 (63.0) | 9 (52.9) | 0.4429 |
| Loop diuretics | 63 (70.0) | 52 (71.2) | 11 (64.7) | 0.5969 |
| MRAs | 27 (30.0) | 21 (28.8) | 6 (35.3) | 0.5969 |
| ARNi | 2 (2.2) | 0 (0.0) | 2 (11.8) | 0.0340 |
| Digoxin | 3 (3.3) | 3 (4.7) | 0 (0.0) | 1.0000 |
| Antiplatelets | 35 (38.9) | 30 (41.1) | 5 (29.4) | 0.3735 |
| Anticoagulants | 52 (57.8) | 41 (56.2) | 11 (64.7) | 0.5215 |
| NYHA, n (%) | 0.2427 | |||
| 1 | 3 (3.5) | 2 (2.8) | 1 (6.3) | |
| 2 | 15 (17.2) | 12 (16.9) | 3 (18.8) | |
| 3 | 34 (39.1) | 31 (43.7) | 3 (18.8) | |
| 4 | 35 (40.2) | 26 (36.6) | 9 (56.3) | |
| mMRC, n (%) | 0.7758 | |||
| 1 | 1 (1.2) | 1 (1.5) | 0 (0.0) | |
| 2 | 3 (3.7) | 3 (4.5) | 0 (0.0) | |
| 3 | 6 (7.4) | 6 (9.0) | 0 (0.0) | |
| 4 | 16 (19.8) | 13 (19.4) | 3 (21.4) | |
| 5 | 38 (46.9) | 29 (43.3) | 9 (64.3) | |
| 6 | 17 (21.0) | 15 (22.4) | 2 (14.3) | |
| LVEF, n (%) | 0.5573 | |||
| >50% | 46 (53.5) | 39 (55.7) | 7 (43.8) | |
| 40–50% | 15 (17.5) | 13 (18.6) | 2 (12.5) | |
| 30–40% | 15 (17.4) | 11 (15.7) | 4 (25.0) | |
| <30% | 10 (11.6) | 7 (10.0) | 3 (18.8) | |
| LVEF, n (%) | 0.3867 | |||
| >50% | 46 (53.5) | 39 (55.7) | 7 (43.8) | |
| ≤50% | 40 (46.5) | 31 (44.3) | 9 (56.3) | |
| Hb (g/L), mean ±SD | 116.1 ± 20.3 | 113.4 ± 20.1 | 127.9 ± 17.0 | 0.0071 |
| Hb < 120 (F) o <130 (M) g/L, n (%) | 60 (66.7) | 51 (69.9) | 9 (52.9) | 0.1825 |
| BNP, ng/L, median (IQR) | 786 (458, 1500) | 801 (484, 1511) | 545 (275, 1463) | 0.1199 |
| eGFR, ml/min/1.73 m2, median (IQR) | 50.5 (37.0, 65.4) | 49.8 (36.3, 64.0) | 64.0 (46.8, 81.6) | 0.1504 |
| HbA1c, mmol/mol, median (IQR) | 44.0 (39.0, 52.0) | 45.0 (39.0, 52.0) | 42.5 (37.0, 48.0) | 0.2913 |
| TSH, mIU/L, median (IQR) | 1.53 (0.91, 2.33) | 1.44 (0.88, 2.38) | 1.69 (1.20, 2.09) | 0.7245 |
| Ferritin, ug/L, median (IQR) | 70.0 (34.0, 225.0) | 58.0 (27.0, 116) | 469.0 (299.0, 684) | <0.0001 |
| Serum iron, umol/L, median (IQR) | 6.1 (4.3, 9.2) | 6.0 (4.2, 8.0) | 10.7 (7.1, 11.2) | 0.0037 |
| TSAT, %, median (IQR) | 10.3 (7.1, 16.3) | 9.6 (6.0, 12.5) | 18.5 (12.3, 22.8) | 0.0005 |
ID: iron deficiency; SD: standard deviation; BMI: body mass index; CCI: Charlson Comorbidity Index; COPD: chronic obstructive pulmonary disease; AF: atrial fibrillation; AFL: atrial flutter; ACEi: angiotensin-converting enzyme inhibitors; ARB: angiotensin receptor blockers; MRAs: mineralocorticoid receptor antagonists; ARNi: angiotensin receptor–neprilysin inhibitors; NYHA: New York Heart Association; mMRC: modified British Medical Research Council (mMRC) (questionnaire); LVEF: left ventricular ejection fraction; Hb: hemoglobin; BNP: brain natriuretic peptide; eGFR: estimated glomerular filtration rate; HbA1c: hemoglobin A1c; TSH: thyroid-stimulating hormone; TSAT: transferrin saturation. Bold: highlight significant p values.
Table 2.
Baseline characteristics on admission, comparing the FCM-supplemented and -unsupplemented ID patients.
Table 2.
Baseline characteristics on admission, comparing the FCM-supplemented and -unsupplemented ID patients.
| (n = 73) | FCM Supplemented (n = 55) | FCM Unsupplemented (n = 18) | p Value | |
|---|---|---|---|---|
| Sex, n (%) | 0.2327 | |||
| Male | 44 (60.3) | 31 (56.4) | 13 (72.2) | |
| Female | 29 (39.7) | 24 (43.6) | 5 (27.8) | |
| Age (years), mean ± SD | 82.9 ± 8.9 | 83.0 ± 8.4 | 82.6 ± 10.7 | 0.8618 |
| BMI, kg/m2, mean ± SD | 26.9 ± 5.7 | 27.3 ± 6.0 | 25.9 ± 4.9 | 0.3873 |
| Barthel index, mean ± SD | 49.1 ± 27.0 | 45.4 ± 25.6 | 60.9 ± 28.6 | 0.0377 |
| CCI, n (%) | 1.0000 | |||
| 0 | 0 (0.0) | 0 (0.0) | 0 (0.0) | |
| 1 | 9 (12.5) | 7 (12.7) | 2 (11.8) | |
| 2+ | 63 (87.5) | 48 (87.3) | 15 (88.2) | |
| Comorbidities, n (%) | ||||
| Coronary artery disease | 39 (53.4) | 28 (50.9) | 11 (61.1) | 0.4513 |
| Hypertension | 57 (78.1) | 43 (78.2) | 14 (77.8) | 1.0000 |
| COPD | 35 (48.0) | 30 (34.6) | 5 (27.8) | 0.0485 |
| Diabetes Mellitus | 28 (38.4) | 23 (41.8) | 5 (27.8) | 0.2876 |
| Malignancy | 20 (27.4) | 15 (27.3) | 5 (27.8) | 1.0000 |
| AF/AFL | 17 (23.3) | 14 (25.5) | 3 (16.7) | 0.5361 |
| Chronic Kidney Disease | 12 (16.4) | 8 (14.6) | 4 (22.2) | 0.4744 |
| Medications, n (%) | ||||
| ACEi/ARB | 34 (46.6) | 26 (47.3) | 8 (44.4) | 0.8346 |
| Betablockers | 46 (63.0) | 37 (67.3) | 9 (50.0) | 0.1876 |
| Loop diuretics | 52 (71.2) | 42 (76.4) | 10 (55.6) | 0.0905 |
| MRAs | 21 (28.8) | 16 (29.1) | 5 (27.8) | 0.9149 |
| ARNi | 0 (0.0) | 0 (0.0) | 0 (0.0) | -- |
| Digoxin | 3 (4.7) | 3 (6.0) | 0 (0.0) | 1.0000 |
| NYHA, n (%) | 0.7788 | |||
| 1 | 2 (2.8) | 1 (1.9) | 1 (5.9) | |
| 2 | 12 (16.9) | 9 (16.7) | 3 (17.7) | |
| 3 | 31 (43.7) | 24 (44.4) | 7 (41.2) | |
| 4 | 26 (36.6) | 20 (37.0) | 6 (35.3) | |
| mMRC, n (%) | 0.6897 | |||
| 1 | 1 (1.5) | 1 (2.0) | 0 (0.0) | |
| 2 | 3 (4.5) | 2 (3.9) | 1 (6.3) | |
| 3 | 6 (9.0) | 5 (9.8) | 1 (6.3) | |
| 4 | 13 (19.4) | 8 (15.7) | 5 (31.3) | |
| 5 | 29 (43.3) | 24 (47.1) | 5 (31.3) | |
| 6 | 15 (22.4) | 11 (21.6) | 4 (25.0) | |
| EF, n (%) | 0.1234 | |||
| >50% | 39 (55.7) | 31 (58.5) | 8 (47.1) | |
| 40–50% | 13 (18.6) | 9 (17.0) | 4 (23.5) | |
| 30–40% | 11 (15.7) | 10 (18.9) | 1 (5.9) | |
| <30% | 7 (10.0) | 3 (5.7) | 4 (23.5) | |
| EF, n (%) | 0.4090 | |||
| >50% | 39 (55.7) | 31 (58.5) | 8 (47.1) | |
| ≤50% | 31 (44.3) | 22 (41.5) | 9 (52.9) | |
| Hb (g/L), mean ± SD | 113.4 ± 20.1 | 110.1 ± 20.7 | 123.4 ± 14.5 | 0.0136 |
| Hb < 120 (F) o < 130 (M) g/L, n (%) | 51 (69.9) | 41 (74.6) | 10 (55.6) | 0.1275 |
| BNP, ng/L, median (IQR) | 801 (484, 1511) | 798 (463, 1442) | 878 (526, 3775) | 0.2207 |
| eGFR, ml/min/1.73 m2, median (IQR) | 49.8 (36.3, 64.0) | 49.3 (35.9, 64.8) | 50.3 (41.2, 63.2) | 0.7460 |
| HbA1c, %, median (IQR) | 45.0 (39.0, 52.0) | 44.0 (39.0, 53.0) | 46.0 (42.0, 49.0) | 0.8174 |
| TSH, mIU/L, median (IQR) | 1.44 (0.88, 2.38) | 1.35 (0.86, 2.19) | 1.89 (0.97, 3.00) | 0.2871 |
| Ferritin, µg/L, median (IQR) | 58.0 (27.0, 116) | 51.5 (27.0, 104) | 93.0 (39.0, 143) | 0.2937 |
| Serum iron, umol/L, median (IQR) | 6.0 (4.2, 8.0) | 5.8 (4.0, 6.8) | 8.1 (5.9, 10.3) | 0.0308 |
| TSAT, %, median (IQR) | 9.6 (6.0, 12.5) | 8.7 (5.0, 11.6) | 12.8 (10.6, 19.6) | 0.0019 |
ID: iron deficiency; SD: standard deviation; BMI: body mass index; CCI: Charlson Comorbidity Index; COPD: chronic obstructive pulmonary disease; AF: atrial fibrillation; AFL: atrial flutter; ACEi: angiotensin-converting enzyme inhibitors; ARB: angiotensin receptor blockers; MRAs: mineralocorticoid receptor antagonists; ARNi: angiotensin receptor–neprilysin inhibitors; NYHA: New York Heart Association; mMRC: modified British Medical Research Council (mMRC) (questionnaire); EF: ejection fraction; Hb: hemoglobin; BNP: brain natriuretic peptide; eGFR: estimated glomerular filtration rate; HbA1c: hemoglobin A1c; TSH: thyroid-stimulating hormone; TSAT: transferrin saturation. Bold: highlight significant p values.
Table 3.
Follow-up results of patients with and without ID; comparison between the FCM-supplemented and FCM-unsupplemented subgroups among patients with ID.
Table 3.
Follow-up results of patients with and without ID; comparison between the FCM-supplemented and FCM-unsupplemented subgroups among patients with ID.
| With ID (n = 67) | Without ID (n = 15) | p Value | FCM Supplemented (n = 52) | FCM Unsupplemented (n = 15) | p Value | |
|---|---|---|---|---|---|---|
| Death, n (%) | 13 (19.4) | 2 (13.3) | 0.7228 | 10 (19.2) | 3 (20.0) | 1.0000 |
| All-cause readmissions, n (%) | 44 (65.7) | 11 (73.3) | 0.8150 | 34 (65.4) | 10 (66.7) | 0.9266 |
| Readmissions for heart failure or cardiovascular events, n (%) | 31 (46.3) | 8 (53.3) | 0.7882 | 26 (50.0) | 5 (33.3) | 0.2541 |
| LOS (days), median (Q1, Q3) | 9 (7, 13) | 9 (7, 13) | 0.4017 | 11 (8, 15) | 6 (5, 9) | 0.0002 |
ID: iron deficiency; FCM: ferric carboxymaltose; LOS: length of stay. Bold: highlight significant p values.
Table 4.
Estimated within-group and between-group differences in ferritin, TSAT, and Hb among ID patients; comparison between the FCM-supplemented vs. FCM-unsupplemented groups.
Table 4.
Estimated within-group and between-group differences in ferritin, TSAT, and Hb among ID patients; comparison between the FCM-supplemented vs. FCM-unsupplemented groups.
| Mean Differences within Group | Mean Differences between Groups (Follow-Up) | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| FCM Supplemented | FCM Unsupplemented | ||||||||||
| Admission (SE) | Follow-Up (SE) | Mean Difference (SE) | p Value | Admission (SE) | Follow-Up (SE) | Mean Difference (SE) | p Value | Mean Difference (SE) | p Value § | Effect Size d | |
| Ferritin, ug/L | 143.8 (10.7) | 222.7 (17.4) | 78.9 (20.8) | 0.0015 | 180.7 (14.6) | 56.7 (22.4) | −124.0 (27.1) | <0.0001 | −166.1 (28.9) | <0.0001 | 0.63 |
| TSAT, % | 10.7 (0.7) | 19.4 (1.2) | 8.7 (1.3) | <0.0001 | 12.8 (1.0) | 16.6 (1.6) | 3.7 (1.8) | 0.1576 | 2.8 (2.0) | 0.0268 | 0.65 |
| Hb, g/L | 114.4 (1.5) | 128.3 (2.4) | 13.8 (3.0) | <0.0001 | 118.2 (2.0) | 120.9 (3.2) | 2.74 (3.9) | 0.8925 | 10.1 (3.3) | 0.0255 | 0.56 |
§: p value from mixed model for repeated measures, interaction group × time, adjusted for admission values. FCM: ferric carboxymaltose; SE: standard error; TSAT: transferrin saturation. Bold: highlight significant p values.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
MDPI and ACS Style
Capone, F.; Cipriani, A.; Molinari, L.; Noale, M.; Gusella, B.; Lucente, F.; Savino, S.; Bertomoro, A.; Saller, A.; Giannini, S.; et al. Ferric Carboxymaltose in Patients with Acute Decompensated Heart Failure and Iron Deficiency: A Real-Life Study. J. Pers. Med. 2023, 13, 1250. https://doi.org/10.3390/jpm13081250
AMA Style
Capone F, Cipriani A, Molinari L, Noale M, Gusella B, Lucente F, Savino S, Bertomoro A, Saller A, Giannini S, et al. Ferric Carboxymaltose in Patients with Acute Decompensated Heart Failure and Iron Deficiency: A Real-Life Study. Journal of Personalized Medicine. 2023; 13(8):1250. https://doi.org/10.3390/jpm13081250
Chicago/Turabian StyleCapone, Federico, Alberto Cipriani, Leonardo Molinari, Marianna Noale, Beatrice Gusella, Fabrizio Lucente, Sandro Savino, Antonella Bertomoro, Alois Saller, Sandro Giannini, and et al. 2023. "Ferric Carboxymaltose in Patients with Acute Decompensated Heart Failure and Iron Deficiency: A Real-Life Study" Journal of Personalized Medicine 13, no. 8: 1250. https://doi.org/10.3390/jpm13081250
Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.
