Prognostic value of serum phosphate level in adult patients resuscitated from cardiac arrest

Prognostic value of serum phosphate level in adult patients resuscitated from cardiac arrest

Accepted Manuscript Title: Prognostic value of serum phosphate level in adult patients resuscitated from cardiac arrest Authors: Yong Hun Jung, Byung ...

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Accepted Manuscript Title: Prognostic value of serum phosphate level in adult patients resuscitated from cardiac arrest Authors: Yong Hun Jung, Byung Kook Lee, Kyung Woon Jeung, Chun Song Youn, Dong Hun Lee, Sung Min Lee, Tag Heo, Yong Il Min PII: DOI: Reference:

S0300-9572(18)30183-7 https://doi.org/10.1016/j.resuscitation.2018.04.026 RESUS 7583

To appear in:

Resuscitation

Received date: Revised date: Accepted date:

18-1-2018 29-3-2018 17-4-2018

Please cite this article as: Jung Yong Hun, Lee Byung Kook, Jeung Kyung Woon, Youn Chun Song, Lee Dong Hun, Lee Sung Min, Heo Tag, Min Yong Il.Prognostic value of serum phosphate level in adult patients resuscitated from cardiac arrest.Resuscitation https://doi.org/10.1016/j.resuscitation.2018.04.026 This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

Prognostic value of serum phosphate level in adult patients resuscitated from cardiac arrest

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Yong Hun Junga, Byung Kook Leea, Kyung Woon Jeunga,*, Chun Song Younb, Dong Hun Leea, Sung Min Leea, Tag Heoa, Yong Il Mina

Department of Emergency Medicine, Chonnam National University Hospital, 42 Jebong-ro, Donggu,

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Gwangju, Republic of Korea

Department of Emergency Medicine, Seoul St. Mary’s Hospital, The Catholic University of Korea,

Corresponding author at: Department of Emergency Medicine, Chonnam National University

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*

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222 Banpo-daero, Seocho-gu, Seoul, Republic of Korea

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b

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Hospital, 42 Jebong-ro, Donggu, Gwangju, Republic of Korea.

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E-mail address: [email protected] (KW Jeung).

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Word counts: 250 words for abstract; 2, 979 words for the text

ABSTRACT

Background: Several studies have reported increased levels of phosphate after cardiac arrest. Given

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the relationship between phosphate level and the severity of ischaemic injury reported in previous studies, higher phosphate levels may be associated with worse outcomes. We investigated the prognostic value of phosphate level after the restoration of spontaneous circulation (ROSC) in adult cardiac arrest patients. Methods: This study was a retrospective observational study including adult cardiac arrest survivors treated at the Chonnam National University Hospital between January 2014 and June 2017. From

medical records, data regarding clinical characteristics, outcome at hospital discharge, and laboratory parameters including phosphate levels after ROSC were collected. The primary outcome was poor outcome at hospital discharge, defined as Cerebral Performance Categories 3–5. Results: Of the 674 included patients, 465 had poor outcome at hospital discharge. Serum phosphate level was significantly higher in patients with poor outcome than in those with good outcome (p

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<0.001). Phosphate level was correlated with time to ROSC (r = 0.350, p <0.001). Receiver operating characteristic curve analysis revealed an area under the curve of 0.805 (95% confidence interval [CI],

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0.777–0.838) for phosphate level. In multivariate analysis, a higher phosphate level was

independently associated with poor outcome at hospital discharge (odds ratio, 1.432; 95% CI, 1.245– 1.626; p <0.001).

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Conclusions: A higher phosphate level after ROSC was independently associated with poor outcome

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at hospital discharge in adult cardiac arrest patients. However, given its modest prognostic

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performance, phosphate level should be used in combination with other prognostic indicators.

Keywords: Heart Arrest; Phosphorus; Prognosis

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Chonnam National University Hospital Institutional Review Board Protocol No. CNUH-2018-004

Introduction

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Abbreviations1

Cardiac arrest is a life-threatening emergency, with an incidence of about 1 per 1,000 person year [1].

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Despite advances in cardiopulmonary resuscitation (CPR) and post-resuscitation care, outcomes after cardiac arrest remain poor [2]. Accurate outcome prediction, particularly early in the treatment process, would help in planning monitoring and treatment strategies. Several modalities including

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brain-specific biomarkers and neurophysiologic tests have been shown to accurately predict outcomes of cardiac arrest [3–5], but the results of these tests are not available during the early hours after 1

CPR, cardiopulmonary resuscitation; ROSC, restoration of spontaneous circulation; CPC, Cerebral Performance Category; TTM, targeted temperature management; GCS, Glasgow Coma Scale; SOFA, sequential organ failure assessment; CVA, cerebrovascular accident; CKD, chronic kidney disease; ROC, receiver operating characteristic; AUC, area under the receiver operating characteristic curve; CI, confidence interval; OR, odds ratio

restoration of spontaneous circulation (ROSC). During this early post-resuscitation phase, physicians frequently rely on arrest and CPR characteristics, such as initial rhythm and bystander CPR status, in order to estimate injury severity and thus predict patient outcome. Although these parameters are wellknown predictors of cardiac arrest outcomes [6–8], none of these parameters directly reflects the magnitude of ischaemic insult or reliably predicts outcomes after cardiac arrest.

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Phosphate is an essential element that plays a crucial role in multiple physiological processes

including cellular signal transduction, mineral metabolism, and energy exchange. Several studies have

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demonstrated that serum phosphate level increases after cardiac arrest [9–11], though this is not well recognised. Makino et al. [10] compared the acid-base and electrolyte variables of 105 cardiac arrest

patients with those of 28 mildly traumatised patients, and reported higher phosphate levels among the

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cardiac arrest patients. Experimental and clinical studies have suggested that the extent of increase in

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the phosphate level after ischaemia is directly proportional to the severity of ischaemic injury [11,12].

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Given the relationship between phosphate level and the severity of ischaemic injury shown in

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previous studies [11,12], it is plausible that higher phosphate levels may be associated with worse outcomes in cardiac arrest patients. So far, a few studies have evaluated the relationship between

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initial serum phosphate levels and outcomes in cardiac arrest patients [13,14]. However, these studies included only small numbers of patients or did not look into the association between phosphate level

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and outcome using multivariate analysis.

In the present study, we therefore sought to investigate the prognostic value of serum phosphate level

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in a larger cohort of adult cardiac arrest patients. We hypothesised that serum phosphate level obtained after ROSC would be associated with outcome in cardiac arrest patients.

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Methods

Study design, population, and setting This study was a retrospective observational cohort study of adult cardiac arrest patients treated at Chonnam National University Hospital, a university-affiliated, 1005-bed hospital located in Gwangju, Korea, from January 2008 to June 2017. The Institutional Review Board of the Chonnam National

University Hospital approved the study protocol (CNUH-2018-004). The need for informed consent was waived because of the retrospective nature of the study. We included patients aged 18 years or older who had experienced cardiac arrest and achieved sustained ROSC. Patients were excluded if: (1) the cause of cardiac arrest was trauma, (2) they had a poor pre-arrest neurologic status (Cerebral Performance Category [CPC] 3 or 4), (3) they had an

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intracranial haemorrhage or acute ischaemic stroke on brain imaging obtained after ROSC because

these brain pathologies may themselves contribute to a poor neurologic outcome, (4) serum phosphate

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level measured within 6 hours after ROSC was not available, or (5) information on arrest and CPR

was not available. We also excluded patients with pre-existing parathyroid disease because it could influence the phosphate level. All patients exhibiting sustained ROSC underwent post-cardiac arrest

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care as per recent resuscitation guidelines [15,16]. According to our protocol, targeted temperature

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management (TTM) with a target core body temperature of 32–36°C was considered for all adult non-

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traumatic cardiac arrest survivors who were unable to obey commands. Patients were considered

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ineligible for TTM if they had other causes of coma other than cardiac arrest, active bleeding, circulatory shock unresponsive to conventional medical therapy, known malignancy in the end stages,

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or a poor pre-arrest neurologic status (CPC 3 or 4). Data collection

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The following data were obtained from electronic medical records: age, sex, comorbidities, location of arrest (out-of-hospital versus in-hospital), presence of a witness on collapse, bystander CPR, first

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monitored rhythm, dose of adrenaline (epinephrine) administered during CPR, time to ROSC (defined as the time interval from recognition of cardiac arrest to ROSC), aetiology of arrest, Glasgow Coma Scale (GCS) score on admission, sequential organ failure assessment (SOFA) score within the first 24

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hours, TTM, and outcome assessed using the CPC scale at hospital discharge [17]. An investigator blinded to the study hypothesis determined the CPC score by medical record review. Among the first available laboratory data obtained after ROSC, we also collected levels of serum phosphate and other electrolytes (sodium, potassium, chloride, calcium, and magnesium), as well as parameters reported as outcome predictors (glucose and lactate) [8,18,19], and parameters that might affect phosphate level

(creatinine, albumin, and haemoglobin) [20]. Comorbidities included coronary artery disease, arrhythmia, heart failure, cerebrovascular accident (CVA), neurological disease other than CVA, hypertension, diabetes, pulmonary disease, malignancy, chronic kidney disease (CKD), and liver cirrhosis. At our institution, serum phosphate level was included in the routine laboratory panel, and was determined using UniCel DxC 800 Synchron Clinical Systems (Beckman Coulter, Fullerton,

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USA). The primary outcome of this study was poor outcome at hospital discharge, defined as CPC 3– 5.

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Statistical analysis

Continuous variables were presented as median values with interquartile ranges because all continuous variables showed non-normal distributions. Mann–Whitney U tests were conducted for

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comparisons of continuous variables. Correlation between continuous variables was assessed by using

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Spearman’s rank correlation coefficient. Categorical variables were presented as frequencies and

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percentages. Comparisons of categorical variables were performed using χ2 or Fisher’s exact tests, as

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appropriate. Receiver operating characteristic (ROC) analyses were performed to examine the performances of serum phosphate and lactate levels in predicting poor outcome. Multivariate logistic

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regression analysis was conducted to determine whether serum phosphate level was independently associated with poor outcome. All variables with p <0.2 in the univariate analyses were included in

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the multivariate regression model. Backward selection was used to obtain the final model. We subsequently constructed another multivariate prediction model by removing serum phosphate level

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from the final model. ROC analyses were performed to assess the prognostic performances of the multivariate models. Comparisons of the areas under the ROC curves (AUC) were performed as recommended by DeLong et al. [21]. Data were analysed using MedCalc version 16.1 (MedCalc

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Software, Ostend, Belgium) and SPSS for Windows version 18.0 (SPSS, Inc., Chicago, IL, USA). A two-tailed significance level of 0.05 was used for statistical significance.

Results Characteristics of included patients

A total of 923 adult cardiac arrest patients who achieved ROSC were treated during the study period. Of these patients, 249 patients were excluded as shown in Fig. 1. Thus, 674 patients were included in this study and were divided into two groups according to their outcome at hospital discharge; 209 with good outcomes and 465 with poor outcomes. The clinical characteristics stratified by outcome at hospital discharge are shown in Table 1. Patients with poor outcome were older. They

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had a lower incidence of pre-existing coronary artery disease and high incidences of diabetes and liver

cirrhosis. They had a lower incidence of witnessed collapse, were less likely to receive bystander CPR,

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were more likely to have a non-shockable rhythm, were more likely to have a non-cardiac aetiology, received higher doses of adrenaline during CPR, had a longer time to ROSC, had lower GCS scores, and had higher SOFA scores. TTM was performed in 332 patients (49.3%). The proportion of patients

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who underwent TTM did not differ between the good and poor outcome groups (98 [46.9%] versus

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234 [50.3%]; p = 0.459). The distributions of laboratory parameters after ROSC are shown in Table 1.

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Glucose, lactate, phosphate, potassium, magnesium, and creatinine levels were higher in patients with

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poor outcome than in those with a good outcome, while calcium, albumin, and haemoglobin levels were lower in patients with poor outcome than those with a good outcome. Sodium and chloride

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levels did not differ between the two groups. Prognostic performances of phosphate and lactate levels

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Fig. 2 shows the proportion of patients with poor outcome in relation to the phosphate level. Supplemental Fig. 1 shows the correlation between serum phosphate and lactate levels. Serum

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phosphate level was significantly correlated with lactate level (r = 0.726; p <0.001), as well as time to ROSC (r = 0.350; p <0.001), and creatinine level (r = 0.398; p <0.001). The correlation between phosphate and creatinine levels was also significant in patients without pre-existing CKD (r = 0.516;

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p <0.001). In the ROC analyses, the AUC of phosphate was 0.805 (95% confidence interval [CI], 0.777–0.838). The optimal cut-off value of 5.8 mg dl-1 corresponded to a sensitivity of 74.4% and a specificity of 76.1%. The AUC of phosphate was higher than that of lactate (AUC, 0.778; 95% CI, 0.745–0.809), but this difference did not reach statistical significance. Association between phosphate level and outcome

Table 2 shows the results of the multivariate logistic regression analysis with outcome at hospital discharge as the dependent variable. In the multivariate analysis, higher phosphate level was independently associated with poor outcome at hospital discharge (odds ratio [OR], 1.432; 95% CI, 1.245–1.626; p <0.001). Meanwhile, lactate level was no longer associated with outcome at hospital discharge. Serum lactate level showed an independent association with outcome at hospital discharge

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(OR, 1.100; 95% CI, 1.034–1.169) only after excluding phosphate level from the multivariate model.

Given the impact of the first monitored rhythm [22], arrest aetiology [23] and TTM on outcome

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[24,25], we stratified the overall cohort (shockable or non-shockable, cardiac or non-cardiac, TTM or non-TTM) and performed subgroup analyses. In these subgroup analyses, the association between

serum phosphate level and outcome remained significant across the subgroups (Table 3).

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Subsequently, subgroup analysis was performed to assess patients with or without diabetes separately

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as patients with diabetes frequently develop disturbances in their phosphate metabolism [26,27]. This

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analysis revealed a significant association between serum phosphate level and outcome for both

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subgroups. Finally, an additional subgroup analysis was performed to assess CKD and non-CKD patients separately. The association between phosphate level and outcome remained significant in

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patients without CKD, but it was no longer significant in patients with CKD. Prognostic performance of phosphate in conjunction with other predictors

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The AUC for the multivariate logistic regression model including phosphate level was 0.930 (95% CI, 0.908–0.948) (Fig. 3). This was significantly higher than the AUC for phosphate alone (p <0.001);

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however, it did not differ from the AUC for the multivariate logistic regression model excluding phosphate level (AUC, 0.925; 95% CI, 0.902–0.944).

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Discussion

The present study investigated the prognostic value of serum phosphate level in 674 adult patients

who were resuscitated following cardiac arrest. Phosphate levels were significantly higher among the patients with poor outcome. The ROC curve of phosphate level yielded an AUC of 0.805 for the prediction of poor outcome. In the multivariate regression model, phosphate level showed a

significant association with poor outcome after adjustment for confounders. To the best of our knowledge, this study is the largest study investigating the association between phosphate level and outcome in cardiac arrest patients, and is also the first study to report phosphate level as an independent predictor of outcome after cardiac arrest. Among the laboratory parameters obtainable in the early hours after ROSC, lactate level has

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traditionally been used to estimate the magnitude of ischaemic insult and thus to predict outcome after

cardiac arrest. Although it has been suggested as a promising predictor of outcomes after cardiac

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arrest, a number of studies have failed to demonstrate independent associations between the lactate

levels on admission and outcomes after cardiac arrest [13,28,29]. Several studies have reported that lactate clearance, rather than the lactate level measured on admission, can be used for the prediction

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of outcomes after cardiac arrest [28,30]. However, this parameter cannot be obtained in the early

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hours after ROSC because serial lactate measurements are essential to calculate the lactate clearance.

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In our analyses using multivariate regression models, phosphate level showed a significant association

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with outcome, while lactate level did only after excluding phosphate level from the model. The AUC of phosphate was higher than that of lactate, although the difference did not reach statistical

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significance. Furthermore, serum phosphate levels can be rapidly measured in many hospital laboratories. Thus, our findings suggest that serum phosphate level may be valuable as a prognostic

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biomarker during the early post-resuscitation phase. The potential mechanism underlying the association between serum phosphate level and outcome

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shown in our study remains unclear. Experimental studies have suggested that serum phosphate level increases after ischaemic injury, the magnitude of which depends on the duration of ischaemic injury [11,12]. In a study involving serial measurements of serum phosphate levels after superior mesenteric

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artery ligation in rabbits [12], serum phosphate levels continued to increase as the duration of ischaemia increased. Consistent with these studies, phosphate levels were significantly correlated with time to ROSC in the present study. Therefore, it can be postulated that phosphate is released from damaged cells under ischaemic conditions at rates related to the severity of ischaemic insult. Meanwhile, high phosphate level by itself may mediate harm by inducing endothelial dysfunction and

oxidative stress [31,32]. In an in vitro study using rat mitochondria [32], Oliveira et al. reported that inorganic phosphate stimulated the release of mitochondrial reactive oxygen species. In our study, individual multivariate regression models stratified by the first monitored rhythm, arrest aetiology, TTM, and diabetes revealed higher phosphate levels to be consistently associated with poor outcome across these subgroups. These findings suggest that the first monitored rhythm, arrest

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aetiology, TTM, and diabetes had little influence on the association between the phosphate level and the outcome and that phosphate level can be used for prognostication regardless of these factors.

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Meanwhile, the association between phosphate level and outcome was not significant in patients with

CKD. Phosphate elimination depends on renal function, and the phosphate level is commonly increased in patients with CKD [33]. Hence, the phosphate levels before cardiac arrest might have

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already been high, and this might have influenced the association between phosphate level and

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outcome in this subgroup. Interestingly, phosphate level was significantly correlated with creatinine

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level even in patients without CKD. However, in the patients without CKD, phosphate level was

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independently associated with poor outcome after adjustment for serum creatinine. Nonetheless, it is still possible that renal function confounded the association between serum phosphate level and

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outcome in patients without CKD since serum creatinine level does not reflect renal function precisely [34].

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Although phosphate level was identified as an independent predictor of poor outcome in the present study, it demonstrated only a modest predictive performance (AUC of 0.805), precluding the use of

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phosphate level alone for prognostication. The multivariate logistic regression model including phosphate and other significant predictors showed superior prognostic performance compared to phosphate alone. However, no significant difference in the prognostic performance was found

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between the multivariate model including phosphate and the multivariate model after removing phosphate. These findings suggest that phosphate level should be used in combination with other prognostic indicators in clinical prognostication. Interestingly, albumin and potassium levels also showed a significant association with outcome in our multivariate regression models. With regard to albumin level, several studies have reported

consistent findings [35,36]. In a prospective observational study including 1,269 adult out-of-hospital cardiac arrest patients, Matsuyama et al. [35] reported that serum albumin level on hospital arrival was independently associated with outcome at 1 month. Geddes et al. [37] evaluated the biochemical changes during ventricular fibrillation cardiac arrest in 14 anesthetised pigs, and reported that potassium levels increased with increasing duration of arrest, suggesting potassium level as a potential

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biomarker for the assessment of the severity of ischaemic injury. However, to the best of our knowledge, no clinical study has specifically assessed the relationship between potassium level on

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admission and outcomes after cardiac arrest. Yanagawa et al. [14] investigated the relationship

between laboratory parameters on admission and outcome in 135 adult out-of-hospital cardiac arrest patients. In their study, potassium levels were higher in patients with poor outcome than in those with

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good outcome, but the association was not significant after adjusting for confounders. Given the small

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sample size of the study conducted by Yanagawa et al. [14], further studies are required to confirm the

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association between potassium level on admission and outcomes after cardiac arrest.

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The present study has several limitations. First, it was a retrospective study of patients treated at a single centre; thus, further studies are required to enhance the generalisability of the findings. Second,

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the decision to perform laboratory studies was left to the discretion of treating physician. Serum phosphate level was not available in 88 (9.5%) among the 923 patients reviewed for inclusion, which

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might have introduced selection bias. Third, treating physicians were not blinded to the phosphate levels. However, they were unaware of the association between serum phosphate level and outcome,

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and the optimal cut-off value. Therefore, the treatments were unlikely to have been influenced by the phosphate levels. Fourth, we did not include the data on haemodynamic status or vasopressor therapy during the early post-resuscitation phase. Hypotension, as well as vasopressor therapy to reverse it,

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may have affected the phosphate level by increasing ischaemia in various organs. Thus, these factors could be confounders in the analyses. Fifth, we could not obtain data regarding parathyroid hormone and vitamin D levels, as well as information on the use of phosphate-lowering medication, all of which are potential sources of bias. Sixth, despite our efforts, unmeasured confounders might have existed.

Conclusions A higher serum phosphate level after successful resuscitation was independently associated with poor outcome at hospital discharge in adult cardiac arrest patients. However, given the modest

prognostic indicators in clinical prognostication of cardiac arrest patients.

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Conflicts of interest: All authors have no potential conflicts of interest to disclose.

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prognostic performance of serum phosphate level, it should be used in combination with other

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[37]. Geddes LA, Roeder RA, Rundell AE, Otlewski MP, Kemeny AE, Lottes AE. The natural biochemical changes during ventricular fibrillation with cardiopulmonary resuscitation and the onset of postdefibrillation pulseless electrical activity. Am J Emerg Med 2006;24:577–81.

Legends to figures Fig. 1. Flow diagram of patient inclusion in the present study.

Fig. 2. Proportion of patients with poor outcome at hospital discharge in relation to phosphate level. The overall cohort was divided into four categories based on the distribution of phosphate levels,

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using quartiles as cut-off values between categories.

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Fig. 3. Receiver operating characteristic curves of phosphate alone, multivariate logistic regression

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PT

ED

M

A

N

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model including phosphate, and multivariate logistic regression model after excluding phosphate.

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PT

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SC R

U

N

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Figures:

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IP T

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Tables:

Table 1 Clinical and laboratory characteristics stratified by outcome at hospital discharge. Good outcome

Poor outcome

p-

(n = 674)

(n = 209)

(n = 465)

value

64.0 (52.0–

57.0 (49.0–

Age, years

IP T

Total

<0.0

67.0 (55.0–76.0) 69.0)

452 (67.1)

150 (71.8)

302 (64.9)

0.098

Coronary artery disease

83 (12.3)

35 (16.7)

48 (10.3)

0.026

Arrhythmia

28 (4.2)

10 (4.8)

18 (3.9)

0.733

Heart failure

34 (5.0)

14 (6.7)

20 (4.3)

0.261

CVA

38 (5.6)

12 (5.7)

26 (5.6)

1.000

Male sex

01

SC R

74.0)

M

A

N

U

Comorbidities

265 (39.3)

74 (35.4)

191 (41.1)

0.191

Diabetes

178 (26.4)

40 (19.1)

138 (29.7)

0.006

48 (7.1)

11 (5.3)

37 (8.0)

0.273

23 (3.4)

3 (1.4)

20 (4.3)

0.096

Malignancy

56 (8.3)

13 (6.2)

43 (9.2)

0.244

Chronic kidney disease

72 (10.7)

16 (7.7)

56 (12.0)

0.116

Liver cirrhosis

18 (2.7)

1 (0.5)

17 (3.7)

0.035

Witnessed collapse

456 (67.7)

174 (83.3)

282 (60.6)

PT

Pulmonary disease

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Hypertension

Neurological disease other

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than CVA

<0.0 01

Bystander CPR

443 (65.7)

163 (78.0)

280 (60.2)

<0.0

01 <0.0 First monitored rhythm 01 193 (28.6)

121 (57.9)

72 (15.5)

Non-shockable

481 (71.4)

88 (42.1)

393 (84.5)

Location of arrest

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Shockable

0.067

488 (72.4)

141 (67.5)

In-hospital

186 (27.6)

68 (32.5)

118 (25.4)

3.0 (1.0–5.0)

1.0 (0.0–2.0)

3.0 (2.0–6.0)

Adrenaline administered during

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CPR, mg 25.0 (13.0–

15.0 (9.0–23.0)

N

Time to ROSC, minute

01 <0.0

PT

Non-cardiac

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Glasgow Coma Scale

01

342 (50.7)

170 (81.3)

172 (37.0)

332 (49.3)

39 (18.7)

293 (63.0)

3.0 (3.0–6.0)

7.0 (3.0–14.0)

3.0 (3.0–4.0)

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Cardiac

01 <0.0

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Aetiology

<0.0

31.0 (18.0–45.0)

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40.0)

347 (74.6)

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Out-of-hospital

<0.0 01 11.0 (8.0–

SOFA score

12.0 (10.0–

<0.0

14.0)a

01

7.0 (5.0–10.0) 13.0)a 231.0 (166.0–

206.0 (152.0–

247.0 (176.0–

<0.0

311.5)b

272.0)c

325.0)d

01

8.9 (5.6–13.3)e

5.3 (3.2–8.2)f

10.5 (7.6–14.6)g

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Glucose, mg dl-1

<0.0 Lactate, mmol l-1

01 Phosphate, mg dl-1

6.6 (4.6–8.5)

4.5 (3.5–5.8)

7.7 (5.8–8.8)

<0.0

01 141.0 (137.0–

141.0 (138.0–

141.0 (137.0–

144.0)

143.0)

144.0)

4.2 (3.7–5.2)

3.8 (3.5–4.2)

4.6 (3.8–5.6)

Sodium, mEq l-1

0.919

<0.0 Potassium, mEq l-1

107.0 (103.0–

107.0 (104.0–

Chloride, mEq l-1

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01 106.0 (102.0–

0.283

8.0 (7.4–8.5)

Creatinine, mg dl-1

2.2 (2.0–2.5)

1.1 (0.9–1.3)

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Albumin, g dl-1

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3.0 (2.4–3.5)

12.3 (10.0–

Hemoglobin, g dl-1

01 <0.0

2.5 (2.2–2.9) 01 <0.0 1.4 (1.1–2.0) 01 <0.0

3.5 (3.1–3.8)

2.8 (2.3–3.3) 01

13.8 (11.6–

<0.0 11.7 (9.5–13.4)

15.1)

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14.2)

<0.0

7.6 (6.9–8.1)

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1.3 (1.0–1.7)

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7.7 (7.0–8.3)

2.4 (2.1–2.8)

110.0)

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Magnesium, mg dl-1

110.0)

N

Calcium, mg dl-1

110.0)

01

Data are presented as n (%) or as medians with interquartile ranges. CVA, cerebrovascular accident;

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CPR, cardiopulmonary resuscitation; ROSC, restoration of spontaneous circulation; SOFA, sequential organ failure assessment.

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Missing data; a n = 2; b n = 7; c n = 4; d n = 3; e n = 14; f n = 9; g n = 5.

Table 2 Multivariate logistic regression analyses of poor outcome at hospital discharge. OR (95% CI)

p-value

Age

1.032 (1.014 – 1.050)

0.001

Bystander CPR

0.617 (0.345 – 1.103)

0.103

Shockable rhythm

0.430 (0.233 – 0.796)

0.007

Time to ROSC

1.035 (1.016 – 1.055)

<0.001

Cardiac aetiology

0.316 (0.170 – 0.589)

<0.001

Glasgow Coma Scale

0.827 (0.760 – 0.901)

<0.001

SOFA score

1.170 (1.064 – 1.286)

0.001

Phosphate

1.423 (1.245 – 1.626)

<0.001

Albumin

0.608 (0.399 – 0.928)

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U 0.021

N

A

Model 2

1.023 (1.006 – 1.041)

0.008

Shockable rhythm

0.450 (0.248 – 0.815)

0.008

Time to ROSC

1.037 (1.018 – 1.056)

<0.001

0.341 (0.187 – 0.621)

<0.001

0.812 (0.746 – 0.885)

<0.001

1.180 (1.071 – 1.300)

0.001

Lactate

1.100 (1.034 – 1.169)

0.002

Potassium

1.375 (1.068 – 1.770)

0.013

Albumin

0.576 (0.375 – 0.883)

0.011

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SOFA score

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Glasgow Coma Scale

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Age

Cardiac aetiology

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Model 1

The multivariate model 1 included all variables with p <0.2 in univariate analyses, whereas model 2 included the variables included in model 1 except phosphate level. From the result of the HosmerLemeshow test, the p-value of Model 1 was 0.190 and that of Model 2 was 0.347. OR, odds ratio; CI, confidence interval; CPR, cardiopulmonary resuscitation; ROSC, restoration of spontaneous circulation; SOFA, sequential organ failure assessment.

Table 3 Adjusted odds ratio and 95% confidence interval for poor outcome associated with each 1 mg dl-1 increase in serum phosphate level by subgroup. Subgroup

OR (95% CI)

p-value

Shockable

1.284 (1.014 – 1.626)

0.038

Non-shockable

1.570 (1.326 – 1.858)

<0.001

Cardiac

1.459 (1.210 – 1.758)

<0.001

Non-cardiac

1.501 (1.171 – 1.925)

0.001

TTM

1.493 (1.226 – 1.817)

<0.001

Non-TTM

1.697 (1.287 – 2.237)

<0.001

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First monitored rhythm

N

1.746 (1.297 – 2.349)

<0.001

Non-diabetes

1.438 (1.229 – 1.682)

<0.001

Pre-existing CKD

Non-CKD

1.939 (0.719 – 5.228)

0.191

1.448 (1.249 – 1.680)

<0.001

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Diabetes

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Diabetes

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TTM

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Aetiology of arrest

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OR, odds ratio; CI, confidence interval; TTM, targeted temperature management; CKD, chronic

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kidney disease.