Meta-Analysis Open Access
Copyright ©The Author(s) 2024. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Clin Cases. Jun 6, 2024; 12(16): 2803-2812
Published online Jun 6, 2024. doi: 10.12998/wjcc.v12.i16.2803
Iron and ferritin effects on intensive care unit mortality: A meta-analysis
Deng-Can Yang, Department of Anesthesiology, The Central Hospital of Shaoyang, Shaoyang 422000, Hunan Province, China
Bo-Jun Zheng, Jian Li, Department of Critical Care Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou 510006, Guangdong Province, China
Yi Yu, Department of Critical Care Medicine, Guangdong Provincial Hospital of Traditional Chinese Medicine, Guangzhou 510006, Guangdong Province, China
ORCID number: Jian Li (0000-0003-1999-7253); Yi Yu (0000-0002-3122-2402).
Author contributions: Yu Y and Zheng BJ designed and acquired the data; Yang DC analyzed and interpreted the data; Li J drafted the article and revising it critically for important intellectual content; Yu Y final approval of the version to be published.
Supported by The National Natural Science Foundation of China, No. 82104989.
Conflict-of-interest statement: The authors declare that they have no competing interests.
PRISMA 2009 Checklist statement: The authors have read the PRISMA 2009 Checklist, and the manuscript was prepared and revised according to the PRISMA 2009 Checklist.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Yi Yu, Doctor, Doctor, Research Scientist, Department of Critical Care Medicine, Guangdong Provincial Hospital of Traditional Chinese Medicine, No. 55 Neihuan Xilu, Daxuecheng, Guangzhou 510006, Guangdong Province, China. 1191922959@qq.com
Received: February 19, 2024
Revised: March 7, 2024
Accepted: April 11, 2024
Published online: June 6, 2024
Processing time: 99 Days and 20 Hours

Abstract
BACKGROUND

The effect of serum iron or ferritin parameters on mortality among critically ill patients is not well characterized.

AIM

To determine the association between serum iron or ferritin parameters and mortality among critically ill patients.

METHODS

Web of Science, Embase, PubMed, and Cochrane Library databases were searched for studies on serum iron or ferritin parameters and mortality among critically ill patients. Two reviewers independently assessed, selected, and abstracted data from studies reporting on serum iron or ferritin parameters and mortality among critically ill patients. Data on serum iron or ferritin levels, mortality, and demographics were extracted.

RESULTS

Nineteen studies comprising 125490 patients were eligible for inclusion. We observed a slight negative effect of serum ferritin on mortality in the United States population [relative risk (RR) 1.002; 95%CI: 1.002-1.004). In patients with sepsis, serum iron had a significant negative effect on mortality (RR = 1.567; 95%CI: 1.208-1.925).

CONCLUSION

This systematic review presents evidence of a negative correlation between serum iron levels and mortality among patients with sepsis. Furthermore, it reveals a minor yet adverse impact of serum ferritin on mortality among the United States population.

Key Words: Iron; Ferritin; Mortality; Critically ill; Meta analysis

Core Tip: This systematic review presents evidence of a negative correlation between serum iron levels and mortality among patients with sepsis. Furthermore, it reveals a minor yet adverse impact of serum ferritin on mortality among the United States population. This guide provides direction for future prognostic assessments in patients with sepsis. Further high-quality cohort studies and experimental studies on molecular mechanisms are needed to confirm our findings.



INTRODUCTION

Iron is an essential nutritional element of the human body with many important biological functions[1]. With the varying cellular environment, the interconversion between the two oxidized states of iron (Fe2+ and Fe3+) keeps iron relevant to a variety of important biochemical reactions, but also with potential hazard risks[2]. Under oxygenic conditions, the Fenton/Haber-Weiss reaction of free iron catalyzes the production of harmful atomic groups, and this mechanism has been hypothesized to underlie iron toxicity in some pathological states[3].

With the progress of clinical and experimental studies, iron metabolism has been shown to play a crucial role not only in metabolic diseases, but also in monitoring disease prognosis using serum iron indicators[4-6]. Changes in iron metabolism indicators occur in critically ill patients, and some of these serum iron metabolism indicators have been reported to be used to predict prognosis in these patients. In a study on multiple serum iron metabolism indicators among 51 critically ill patients after surgery, elevated serum ferritin was associated with poor clinical outcomes[7]. Another study on a prospective cohort of 121 patients under critical care in an integrated intensive care unit (ICU) revealed a significant association between plasma iron levels and increased risk of inpatient 30-d mortality[8]. According to another prospective study, serum iron metabolism indicators are associated with prognosis of ICU patients. In-survival analysis revealed that lower serum iron and iron utilization levels could increase short-term and long-term survival outcomes. Furthermore, after multivariate analysis adjusting for other indicators, iron was found to be an independent predictor of short-term and long-term survival outcomes of mortality among ICU patients[9]. Currently, no conclusions have been established as to whether serum iron metabolism indicators can accurately predict the prognosis of critically ill patients. The relevant underlying mechanisms are still being explored.

Therefore, a better understanding of the importance of iron metabolism among ICU patients is urgently needed. In consequence, we analyzed the effect of iron parameters on mortality among critically ill patients admitted to ICU.

MATERIALS AND METHODS
Search strategy

This meta-analysis study was conducted by following the Meta-analysis of Observational Studies in Epidemiology guidelines[10]. A literature search of relevant published studies that analyzed the association between iron parameters and mortality outcomes among critically ill patients was conducted on October 1, 2021. Using literature searches on PubMed, Embase, Web of Science, and Cochrane Library databases, we identified articles using the following terms: Ferritin, iron, anemia, critically ill, sepsis, sepsis shock, and mortality. Only studies published in English were identified for the analysis in this study. By consulting the reference lists in these research articles, we identified additional studies relevant to the subject.

Study selection criteria

Studies were included, if: (1) They were cohort or case-control studies; (2) the study evaluated the association between iron parameters and mortality among critically ill patients admitted to ICUs; (3) they provided sufficient data on odds ratios (OR); and (4) the Newcastle-Ottawa scale (NOS) score was ≥ 6. All studies containing overlapping data were excluded.

The data extracted included the first author’s name, year of publication, study population and country, period, study type, age, ORs with 95%CI, ICU type, patient types, and NOS scores (Table 1). For publications that did not report the association between iron or ferritin and mortality among critically ill patients, we calculated the ORs, if data on these variables were available.

Table 1 Characteristics of the studies included in the meta-analysis.
Ref.
Population and country
Period
Study type
Age
Adjustment OR (95%CI)
ICU type
Patient types
NOS
Rimmelé et al[13]1260, ItalyFrom February 22 to May 31, 2020CohortMedian age of 63 yrFerritin: 1.000 (1.000–1.000)ICUsCOVID-19 7
Deng et al[14]100, ChinaFrom January 30 to March 30 2020CohortMedian age of 65 yrFerritin: 32.63 (8.30–128.32)ICUsCOVID-197
Lachmann et al[17]116310, GermanyFrom January 2006 to August 2018Cohort18 years old or olderFerritin: 1.518 (1.384–1.665)Adult ICUCritically ill patients8
Tonial et al[15] 1407, BrazilFrom July 2013 to January 2017Cohort6 months to 18 yr oldFerritin: 5.17 (2.619-10.205)Pediatric ICUSepsis8
Brandtner et al[18]61, AustriaFrom February 2018 to December 2019CohortMean age of 63 yrFerritin: 6 (1.1-39)Adult ICUSepsis7
Iron: 4.6 (1.5-17)
Shu et al[16]483, United StatesFrom 2001 to 2012CohortAged 16 yr or aboveFerritin (90 D): 1.001 (1.000-1.001)Adult ICUAKI6
Iron (90 D): 1.741 (1.285-2.358)
Jiang et al[20]258, ChinaFrom May 1 2016 to November 30 2017Cohort18 yr old or olderFerritin: 1.010 (1.000–1.021)Adult ICUSepsis6
Xia et al[19]250, ChinaFrom June 2015 to May 2017Cohort18 yr old or olderIron: 0.696 (0.268-0.918)Adult ICUCritically ill patients6
Lan et al[23]1891, United StatesFrom 2001 to 2012CohortAged 16 yr or aboveFerritin: 1.000 (0.999–1.000)Adult ICUSepsis6
Iron: 1.506 (1.190–1.908)
Xie et al[21]103, ChinaFrom August 2016 to January 2017Cohort18 yr old or olderFerritin (long-term): 1.002 (1.000–1.003)NCUNeuro-critically patients6
Lasocki et al[22]2087, FranceFrom August 2011 to June 2013CohortUnlimitedFerritin: 1.02 (0.51-2.06)ICUsIron deficiency7
Ghosh et al[24]42, South AsiaFrom May 2016 to March 2017Cohort6 months to 12 yr oldFerritin: 1.94 (0.94–4.02)Pediatric ICUSeptic shock6
Tacke et al[9]312, GermanyNot providedCohortMedian age of 64 yrFerritin (long-term): 1.000 (1.000–1.000)Adult ICUCritically ill patients7
Iron (long-term):
1.040 (1.011–1.071)
Unal et al[26]111, TurkeyBetween May 2012 and January 2013CohortMean age of 73.79Ferritin: 1.002 (1.000-1.004)Adult ICUCritically ill patients6
Carcillo et al[29]100, PittsburghNot providedCohortAge greater than or equal to 44 wk gestation and less than 18 yrFerritin: 1.001 (1.000–1.001)Pediatric ICUSepsis7
Uscinska et al[25]392, PolandBetween 2008 and
2011
CohortMean age of 70 Iron: 0.85 (0.78–0.94)ICUsAnemia7
Leaf et al[8]121, United StatesBetween 2008 and 2012CohortAge >18 yrIron (long-term): 1.38 (0.91-2.10)ICUsAKI6
Bennett et al[27]171, United StatesBetween September 2, 2003, and August 16,
2007
CohortAge < 18 yrFerritin: 4.32 (2.21-8.47)Pediatric ICUCritically ill patients6
Garcia et al[28]31, BrazilFrom January 2004 to September 2005CohortAged 1 month–16 yrFerritin: 3.2 (1.3-7.9)Pediatric ICUSepsis6
Statistical analysis

The strength of the association between iron or ferritin and mortality among critically ill patients was reported using ORs and 95%CIs. When adjusted and crude ORs were provided, the most adjusted ORs were extracted. We used the heterogeneity value (I2) test and Q-statistic to detect any possible heterogeneity, as a quantitative measure of inconsistency among studies[11]. Meta-regression analyses were used to investigate the sources of heterogeneity. Pooled ORs and 95%CIs were calculated using a random-effects model[12].

All statistical analyses in the meta-analysis were performed using Statistical software for data science version 13.0. All reported P values were from two-sided statistical tests. Statistical significance was set at P ≤ 0.05. Egger’s and Begg’s regression models were used to evaluate potential publication bias[11].

RESULTS

The process for selecting the studies is outlined in Figure 1. After the literature search, 267 potentially relevant records were reviewed. Out of this number, 19 studies, including 125490 patients, were included in the meta-analysis (Table 1). Subsequently, 247 studies were excluded, because they were either duplicated reports or were of relatively low quality. All 19 selected studies were cohort studies[8,9,13-29].

Figure 1
Figure 1 Search strategy and selection of studies for inclusion in the meta-analysis.

Six studies were conducted in Europe; five studies were conducted in America; and five studies were conducted in other regions (Asia, Australia). Four studies presented data on mortality and iron and ferritin separately. The NOS scores of eight, six, and two studies were 6, 7, and 8, respectively (Table 2). The data on mortality and serum iron and ferritin were extracted separately. Most of the included studies had contrasting findings. Six studies reported that high ferritin levels were associated with high mortality among critically ill patients, whereas the other 10 studies reported no association. Similarly, the studies on serum iron had contrasting findings. Four studies reported that high serum iron levels were associated with high mortality among critically ill patients, whereas the other three studies reported no association or corresponding decrease in mortality among critically ill patients. The analysis of the studies yielded a combined risk estimate, relative risk (RR) of 1.00 (95%CI: 1.00–1.00; P = 0.001) with I2 of 84.4% for ferritin (Figure 2A), and a combined risk estimate, RR of 1.02 (95%CI: 0.99–1.05; P < 0.001) with I2 of 85.3% for iron (Figure 2B). We also assessed the stability and explored the sources of heterogeneity of the results using sensitivity analysis for serum ferritin and iron (Figure 3). After a meta-regulation test, geographical area was associated with 50.51% heterogeneity reduction across the studies for serum ferritin and 41.53% heterogeneity reduction across the studies for serum iron (Figure 4).

Figure 2
Figure 2 Meta-analysis between ferritin and mortality in critically ill patients. A: Ferritin; B: Iron.
Figure 3
Figure 3 Sensitivity analysis of all included studies. A: Ferritin; B: Iron.
Figure 4
Figure 4 Meta-regulation of ferritin and mortality in critically ill patients. Geographical area, 1: Europe, 2: Others, 3: America. A: Ferritin; B: Iron.
Table 2 Stratified analysis of iron parameters and mortality in critically ill patients according to study characteristics.
Group
Number of the study
RR (95%CI)
P value
I2 (%)
Ferritin
Geographic region
    Europe61.001 (1.001-1.002)< 0.0194.3
    America51.002 (1.002-1.004)0.29319.1
    Others51.001 (1-1.001)0.00178.2
NOS
    681.001 (1.001-1.001)0.00170.5
    761.001 (1.001-1.001)0.720
    821.523 (1.383-1.663)0.05971.9
Patient types
    Sepsis71.001 (1.001-1.001) 0.00468.2
    Other critically ill patients91.001 (1.001-1.002)< 0.0189.9
ICU types
    Adult ICU81.001 (1-1.001)091.3
    Pediatric ICU51.001 (1.001-1.002)0.01766.9
    General ICU31.025 (0.25-1.8)0.3026.2
Iron
Geographic region
    Europe21.017 (0.988-1.045)< 0.0194.7
    America30.858 (0.573-1.143)0.0958.4
    Others21.616 (1.318-1.914)0.5830
NOS
    641.217 (1.011-1.424)0.00182.7
    731.017 (0.989-1.045)< 0.0189.9
Patient types
    Sepsis21.567 (1.208-1.925)0.4420
    Other critically ill patients51.017 (0.989-1.045)< 0.0187.2
ICU types
    Adult ICU51.043 (1.013-1.073)0.00179.7
    General ICU20.859 (0.780-0.939)0.08466.6

Due to the differences in geographic area (Europe, America, and others), NOS (6, 7, or 8), patient category (sepsis, other critically ill patients), and ICU type [adult ICU, pediatric ICU (PICU), or general ICU] among the studies, we further conducted subgroup analyses to determine the effect of these factors in our analyses (Table 2). We found a significant negative effect of serum ferritin on mortality in the United States population (RR = 1.002; 95%CI: 1.002-1.004) and in the general ICU (RR = 1.025; 95%CI: 0.25-1.8). We obtained a statistically negative effect on patients with sepsis (RR = 1.567; 95%CI: 1.208-1.925) for serum iron.

Based on Egger’s and Begg’s regression models, evidence of publication bias (Figures 5 and 6) were noted for iron or ferritin, in relation to mortality. Egger’s funnel plot and Begg’s linear regression test revealed P values < 0.05.

Figure 5
Figure 5 Begg’s funnel plot assessing publication bias among the selected studies. A: Ferritin; B: Iron.
Figure 6
Figure 6 Egger’s funnel plot assessing publication bias among the selected studies. A: Ferritin; B: Iron.
DISCUSSION

To the best of our knowledge, this study is the first systematic review examining the role of iron parameters on mortality in critically ill patients. High iron parameters had no association with mortality among critically ill patients. Due to the heterogeneity of the meta-analysis, we performed subgroup analysis, sensitivity analysis, and regression analysis to explore the source of heterogeneity. Subgroup analyses were used to determine the effect of geographic area (Europe, America, or others), NOS score (6, 7, or 8), patient types (sepsis, other critically ill patients), and ICU types (Adult ICU, PICU, or general ICU) in our analyses (Table 2). For iron, sepsis had a statistically negative effect (RR = 1.567; 95%CI: 1.208-1.925). Sensitivity analysis revealed stable conclusions and no apparent source of heterogeneity for serum ferritin and iron (Figure 3). From the meta-regulation test, geographical area was associated with 50.51% heterogeneity reduction across studies on serum ferritin and 41.53% heterogeneity reduction across studies on serum iron (Figure 4). Due to publication bias, further studies of higher quality are needed to confirm our findings.

The meta-analysis concluded that serum ferritin had no association with mortality among critically ill patients. However, since few studies with high level of heterogeneity were included, exact conclusions could not be made. Ferritin is an indicator of iron level and storage in the body. However, it is also an acute phase reactive protein. A significantly increased serum ferritin level in stress conditions, such as inflammation, does not accurately reflect the body's iron storage. Pro-inflammatory cytokines can induce increased ferritin transcription and translation, resulting in elevated serum ferritin level. Inflammation is a common pathological state in critically ill patients that may likely result in multi-organ dysfunction, depending on disease severity[30,31]. According to studies on iron parameter levels in critically ill patients, serum ferritin levels in critically ill patients are significantly higher during sepsis than during the recovery stage. This implies that serum ferritin level can reflect the state and severity of infection[7]. Additionally, inflammatory stimuli can upregulate the expression of ferromodulin and modulate iron metabolism by inhibiting intestinal iron absorption and limiting iron release in the mesh endothelial system, resulting in a relative iron deficiency state in the circulatory system[32-34]. Currently, the nature of association between ferritin level and mortality among critically ill patients is yet to be elucidated. To remedy the situation, separate clinical studies on different diseases with varying severities in different populations should be conducted.

The meta-analysis concluded that no association existed between iron level and mortality in critically ill patients, although subgroup analysis revealed that in patients with sepsis, iron is a risk factor. Under normal physiological conditions, iron metabolism is in a balanced state, which does not only maintain the important biological function of iron but also prevents excessive iron accumulation that could result in oxidative stress due to injury to the body. Iron homeostasis ensures that changes in iron metabolism present in ICU patients are essentially a defense mechanism. From initial studies, the trend of serum iron metabolism indicators in critically ill patients was similar to that in chronic inflammation, which is a common pathological state in critically ill patients. Infectious inflammation is the most common pathological state[35,36]. One feasible mechanism underlying the high iron level is the state of histiocyte breakdown in ICU patients. The disruption of erythrocytes and other tissues gradually decreases iron consumption and increases iron release. As a result, repeated blood transfusions further increases iron level in circulation after erythrocyte lysis[37-39]. The increase in iron-associated mortality may be due to excess iron, which directly promotes increased infection in patients with sepsis. Furthermore, iron catalyzes the chemical production of reactive oxygen species, such as hydroxyl anions and superoxide, thereby accelerating the development of multi-organ dysfunction[40]. There is a lack of definitive evidence on the effect of iron on survival and mortality in critically ill patients, except those with sepsis.

This study had few limitations. First, only studies published in English journals were included. However, a significant portion of the literature were studies conducted in Asia, where the official language is not English. Second, predicting the effect of misclassification of cohort studies on the results was challenging. Third, systematic confounding or the risk of bias in observation studies cannot be ruled out easily. Fourth, due to heterogeneity across the studies, regression analysis was used to explain the source of heterogeneity, which may be due to differences in study geographical areas. In this study, analyses of the association between concentration of ferritin and duration of ferritin abnormality and mortality among critically ill patients were not included. The original studies lacked data on these parameters for this analysis.

CONCLUSION

In summary, this systematic review presents evidence of a negative correlation between serum iron levels and mortality among patients with sepsis. Additionally, it identifies a minor but adverse effect of serum ferritin on mortality within the United States population. Further high-quality cohort studies and experimental studies on molecular mechanisms are needed to confirm our findings.

Footnotes

Provenance and peer review: Unsolicited article; Externally peer reviewed.

Peer-review model: Single blind

Specialty type: Critical care medicine

Country/Territory of origin: China

Peer-review report’s classification

Scientific Quality: Grade D

Novelty: Grade B

Creativity or Innovation: Grade C

Scientific Significance: Grade C

P-Reviewer: Wu H, China S-Editor: Liu H L-Editor: A P-Editor: Zhao S

References
1.  Evstatiev R, Gasche C. Iron sensing and signalling. Gut. 2012;61:933-952.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 208]  [Cited by in F6Publishing: 205]  [Article Influence: 17.1]  [Reference Citation Analysis (0)]
2.  Venkataramani V. Iron Homeostasis and Metabolism: Two Sides of a Coin. Adv Exp Med Biol. 2021;1301:25-40.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 12]  [Cited by in F6Publishing: 32]  [Article Influence: 10.7]  [Reference Citation Analysis (0)]
3.  Kohli SK, Handa N, Bali S, Khanna K, Arora S, Sharma A, Bhardwaj R. Current Scenario of Pb Toxicity in Plants: Unraveling Plethora of Physiological Responses. Rev Environ Contam Toxicol. 2020;249:153-197.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 11]  [Cited by in F6Publishing: 4]  [Article Influence: 1.0]  [Reference Citation Analysis (0)]
4.  Kumar A, Brookes MJ. Iron Therapy in Inflammatory Bowel Disease. Nutrients. 2020;12.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 9]  [Cited by in F6Publishing: 13]  [Article Influence: 3.3]  [Reference Citation Analysis (0)]
5.  Ueda N, Takasawa K. Impact of Inflammation on Ferritin, Hepcidin and the Management of Iron Deficiency Anemia in Chronic Kidney Disease. Nutrients. 2018;10.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 71]  [Cited by in F6Publishing: 112]  [Article Influence: 18.7]  [Reference Citation Analysis (0)]
6.  Ponikowski P, van Veldhuisen DJ, Comin-Colet J, Ertl G, Komajda M, Mareev V, McDonagh T, Parkhomenko A, Tavazzi L, Levesque V, Mori C, Roubert B, Filippatos G, Ruschitzka F, Anker SD; CONFIRM-HF Investigators. 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.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 655]  [Cited by in F6Publishing: 820]  [Article Influence: 82.0]  [Reference Citation Analysis (0)]
7.  Bobbio-Pallavicini F, Verde G, Spriano P, Losi R, Bosatra MG, Braschi A, Iotti G, Chiaranda M, Villa S. Body iron status in critically ill patients: significance of serum ferritin. Intensive Care Med. 1989;15:171-178.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 33]  [Cited by in F6Publishing: 36]  [Article Influence: 1.0]  [Reference Citation Analysis (0)]
8.  Leaf DE, Rajapurkar M, Lele SS, Mukhopadhyay B, Waikar SS. Plasma catalytic iron, AKI, and death among critically ill patients. Clin J Am Soc Nephrol. 2014;9:1849-1856.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 26]  [Cited by in F6Publishing: 33]  [Article Influence: 3.3]  [Reference Citation Analysis (0)]
9.  Tacke F, Nuraldeen R, Koch A, Strathmann K, Hutschenreuter G, Trautwein C, Strnad P. Iron Parameters Determine the Prognosis of Critically Ill Patients. Crit Care Med. 2016;44:1049-1058.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 69]  [Cited by in F6Publishing: 73]  [Article Influence: 10.4]  [Reference Citation Analysis (0)]
10.  Stroup DF, Berlin JA, Morton SC, Olkin I, Williamson GD, Rennie D, Moher D, Becker BJ, Sipe TA, Thacker SB. Meta-analysis of observational studies in epidemiology: a proposal for reporting. Meta-analysis Of Observational Studies in Epidemiology (MOOSE) group. JAMA. 2000;283:2008-2012.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 14425]  [Cited by in F6Publishing: 16122]  [Article Influence: 671.8]  [Reference Citation Analysis (0)]
11.  Begg CB, Mazumdar M. Operating characteristics of a rank correlation test for publication bias. Biometrics. 1994;50:1088-1101.  [PubMed]  [DOI]  [Cited in This Article: ]
12.  DerSimonian R, Laird N. Meta-analysis in clinical trials revisited. Contemp Clin Trials. 2015;45:139-145.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 1231]  [Cited by in F6Publishing: 1716]  [Article Influence: 190.7]  [Reference Citation Analysis (0)]
13.  Rimmelé T, Pascal L, Polazzi S, Duclos A. Organizational aspects of care associated with mortality in critically ill COVID-19 patients. Intensive Care Med. 2021;47:119-121.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 14]  [Cited by in F6Publishing: 18]  [Article Influence: 4.5]  [Reference Citation Analysis (0)]
14.  Deng F, Zhang L, Lyu L, Lu Z, Gao D, Ma X, Guo Y, Wang R, Gong S, Jiang W. Increased levels of ferritin on admission predicts intensive care unit mortality in patients with COVID-19. Med Clin (Barc). 2021;156:324-331.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 23]  [Cited by in F6Publishing: 29]  [Article Influence: 7.3]  [Reference Citation Analysis (0)]
15.  Tonial CT, Costa CAD, Andrades GRH, Crestani F, Einloft PR, Bruno F, Miranda AP, Fiori HH, Garcia PCR. Prediction of Poor Outcomes for Septic Children According to Ferritin Levels in a Middle-Income Setting. Pediatr Crit Care Med. 2020;21:e259-e266.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 9]  [Cited by in F6Publishing: 10]  [Article Influence: 2.5]  [Reference Citation Analysis (0)]
16.  Shu J, Hu Y, Yu X, Chen J, Xu W, Pan J. Elevated serum iron level is a predictor of prognosis in ICU patients with acute kidney injury. BMC Nephrol. 2020;21:303.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 4]  [Cited by in F6Publishing: 11]  [Article Influence: 2.8]  [Reference Citation Analysis (0)]
17.  Lachmann G, Knaak C, Vorderwülbecke G, La Rosée P, Balzer F, Schenk T, Schuster FS, Nyvlt P, Janka G, Brunkhorst FM, Keh D, Spies C. Hyperferritinemia in Critically Ill Patients. Crit Care Med. 2020;48:459-465.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 47]  [Cited by in F6Publishing: 53]  [Article Influence: 13.3]  [Reference Citation Analysis (0)]
18.  Brandtner A, Tymoszuk P, Nairz M, Lehner GF, Fritsche G, Vales A, Falkner A, Schennach H, Theurl I, Joannidis M, Weiss G, Pfeifhofer-Obermair C. Linkage of alterations in systemic iron homeostasis to patients' outcome in sepsis: a prospective study. J Intensive Care. 2020;8:76.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 21]  [Cited by in F6Publishing: 36]  [Article Influence: 9.0]  [Reference Citation Analysis (0)]
19.  Xia JJ, Wang F, Jiang XN, Jiang TT, Shen LJ, Liu Y, You DL, Ding Y, Ju XF, Wang L, Wu X, Hu SY. Serum iron levels are an independent predictor of in-hospital mortality of critically ill patients: a retrospective, single-institution study. J Int Med Res. 2019;47:66-75.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 8]  [Cited by in F6Publishing: 7]  [Article Influence: 1.2]  [Reference Citation Analysis (0)]
20.  Jiang Y, Jiang FQ, Kong F, An MM, Jin BB, Cao D, Gong P. Inflammatory anemia-associated parameters are related to 28-day mortality in patients with sepsis admitted to the ICU: a preliminary observational study. Ann Intensive Care. 2019;9:67.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 26]  [Cited by in F6Publishing: 60]  [Article Influence: 12.0]  [Reference Citation Analysis (0)]
21.  Xie L, Peng Y, Huang K, Wu Y, Wang S. Predictive value of iron parameters in neurocritically ill patients. Brain Behav. 2018;8:e01163.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 2]  [Cited by in F6Publishing: 3]  [Article Influence: 0.5]  [Reference Citation Analysis (0)]
22.  Lasocki S, Lefebvre T, Mayeur C, Puy H, Mebazaa A, Gayat E; FROG-ICU study group. Iron deficiency diagnosed using hepcidin on critical care discharge is an independent risk factor for death and poor quality of life at one year: an observational prospective study on 1161 patients. Crit Care. 2018;22:314.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 30]  [Cited by in F6Publishing: 35]  [Article Influence: 5.8]  [Reference Citation Analysis (0)]
23.  Lan P, Pan KH, Wang SJ, Shi QC, Yu YX, Fu Y, Chen Y, Jiang Y, Hua XT, Zhou JC, Yu YS. High Serum Iron level is Associated with Increased Mortality in Patients with Sepsis. Sci Rep. 2018;8:11072.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 34]  [Cited by in F6Publishing: 34]  [Article Influence: 5.7]  [Reference Citation Analysis (0)]
24.  Ghosh S, Baranwal AK, Bhatia P, Nallasamy K. Suspecting Hyperferritinemic Sepsis in Iron-Deficient Population: Do We Need a Lower Plasma Ferritin Threshold? Pediatr Crit Care Med. 2018;19:e367-e373.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 21]  [Cited by in F6Publishing: 19]  [Article Influence: 3.2]  [Reference Citation Analysis (0)]
25.  Uscinska E, Sobkowicz B, Sawicki R, Kiluk I, Baranicz M, Stepek T, Dabrowska M, Szmitkowski M, Musial WJ, Tycinska AM. Parameters influencing in-hospital mortality in patients hospitalized in intensive cardiac care unit: is there an influence of anemia and iron deficiency? Intern Emerg Med. 2015;10:337-344.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 12]  [Cited by in F6Publishing: 13]  [Article Influence: 1.4]  [Reference Citation Analysis (0)]
26.  Unal AU, Kostek O, Takir M, Caklili O, Uzunlulu M, Oguz A. Prognosis of patients in a medical intensive care unit. North Clin Istanb. 2015;2:189-195.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 2]  [Cited by in F6Publishing: 9]  [Article Influence: 1.0]  [Reference Citation Analysis (0)]
27.  Bennett TD, Hayward KN, Farris RW, Ringold S, Wallace CA, Brogan TV. Very high serum ferritin levels are associated with increased mortality and critical care in pediatric patients. Pediatr Crit Care Med. 2011;12:e233-e236.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 67]  [Cited by in F6Publishing: 66]  [Article Influence: 5.1]  [Reference Citation Analysis (0)]
28.  Garcia PC, Longhi F, Branco RG, Piva JP, Lacks D, Tasker RC. Ferritin levels in children with severe sepsis and septic shock. Acta Paediatr. 2007;96:1829-1831.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 82]  [Cited by in F6Publishing: 89]  [Article Influence: 5.2]  [Reference Citation Analysis (0)]
29.  Carcillo JA, Sward K, Halstead ES, Telford R, Jimenez-Bacardi A, Shakoory B, Simon D, Hall M; Eunice Kennedy Shriver National Institute of Child Health and Human Development Collaborative Pediatric Critical Care Research Network Investigators. A Systemic Inflammation Mortality Risk Assessment Contingency Table for Severe Sepsis. Pediatr Crit Care Med. 2017;18:143-150.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 63]  [Cited by in F6Publishing: 57]  [Article Influence: 8.1]  [Reference Citation Analysis (0)]
30.  Haschka D, Hoffmann A, Weiss G. Iron in immune cell function and host defense. Semin Cell Dev Biol. 2021;115:27-36.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 28]  [Cited by in F6Publishing: 78]  [Article Influence: 19.5]  [Reference Citation Analysis (0)]
31.  Marshall JC. Inflammation, coagulopathy, and the pathogenesis of multiple organ dysfunction syndrome. Crit Care Med. 2001;29:S99-106.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 320]  [Cited by in F6Publishing: 282]  [Article Influence: 12.3]  [Reference Citation Analysis (0)]
32.  Weiss G, Ganz T, Goodnough LT. Anemia of inflammation. Blood. 2019;133:40-50.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 332]  [Cited by in F6Publishing: 545]  [Article Influence: 90.8]  [Reference Citation Analysis (0)]
33.  Hayden SJ, Albert TJ, Watkins TR, Swenson ER. Anemia in critical illness: insights into etiology, consequences, and management. Am J Respir Crit Care Med. 2012;185:1049-1057.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 143]  [Cited by in F6Publishing: 144]  [Article Influence: 12.0]  [Reference Citation Analysis (0)]
34.  Weiss G, Goodnough LT. Anemia of chronic disease. N Engl J Med. 2005;352:1011-1023.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 2133]  [Cited by in F6Publishing: 2080]  [Article Influence: 109.5]  [Reference Citation Analysis (0)]
35.  Liu Q, Wu J, Zhang X, Wu X, Zhao Y, Ren J. Iron homeostasis and disorders revisited in the sepsis. Free Radic Biol Med. 2021;165:1-13.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 24]  [Cited by in F6Publishing: 41]  [Article Influence: 13.7]  [Reference Citation Analysis (0)]
36.  Boshuizen M, Binnekade JM, Nota B, van de Groep K, Cremer OL, Tuinman PR, Horn J, Schultz MJ, van Bruggen R, Juffermans NP; Molecular Diagnosis and Risk Stratification of Sepsis (MARS) Consortium. Iron metabolism in critically ill patients developing anemia of inflammation: a case control study. Ann Intensive Care. 2018;8:56.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 19]  [Cited by in F6Publishing: 15]  [Article Influence: 2.5]  [Reference Citation Analysis (0)]
37.  Retter A, Wyncoll D, Pearse R, Carson D, McKechnie S, Stanworth S, Allard S, Thomas D, Walsh T; British Committee for Standards in Haematology. Guidelines on the management of anaemia and red cell transfusion in adult critically ill patients. Br J Haematol. 2013;160:445-464.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 184]  [Cited by in F6Publishing: 184]  [Article Influence: 16.7]  [Reference Citation Analysis (0)]
38.  Heming N, Montravers P, Lasocki S. Iron deficiency in critically ill patients: highlighting the role of hepcidin. Crit Care. 2011;15:210.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 40]  [Cited by in F6Publishing: 40]  [Article Influence: 3.1]  [Reference Citation Analysis (0)]
39.  Darveau M, Denault AY, Blais N, Notebaert E. Bench-to-bedside review: iron metabolism in critically ill patients. Crit Care. 2004;8:356-362.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 56]  [Cited by in F6Publishing: 48]  [Article Influence: 2.4]  [Reference Citation Analysis (0)]
40.  Wizorek JJ, Turnbull IR, Buchman TG. Iron overload before cecal ligation and puncture increases mortality. Shock. 2003;20:52-55.  [PubMed]  [DOI]  [Cited in This Article: ]  [Cited by in Crossref: 10]  [Cited by in F6Publishing: 10]  [Article Influence: 0.5]  [Reference Citation Analysis (0)]