Value of C-reactive Protein/Albumin Ratio for Predicting Ischemia in Myocardial Perfusion Scintigraphy

Efe, Süleyman Çağan; Candan, Özlem Özdemir; Gündoğan, Cihan; Öz, Ahmet; Yüksel, Yasin; Ayça, Burak; Çermik, Tevfik Fikret

doi:10.4274/mirt.galenos.2020.88261

Cited by 8 publications

(4 citation statements)

References 22 publications

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“… 4–7 The CAR is a new marker, which is calculated by the ratio of these acute phase reactants. 8 However, there are few reports on the prognosis of thrombotic diseases with CAR and plasma D-dimer (DD). 9 Therefore, this study retrospectively analyzed the characteristics of peripheral hematology and blood coagulation indexes in 109 patients with tumor-related PTE, so as to explore the clinical value of CAR combined with DD in predicting the prognosis and risk assessment of death in patients with tumor-related PTE.…”

Section: Introductionmentioning

confidence: 99%

Risk Assessment of Death of Tumor-Related PTE by CAR Combined with DD Detection

Li¹,

Zheng²,

Lu³

et al. 2022

VHRM

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Objective To investigate the risk of death in patients with tumor-related PTE (pulmonary thromboembolism) detected by CAR (C-reactive protein/albumin ratio) combined with DD (D-dimer). Methods The peripheral hematology and coagulation-related indexes of 109 patients with tumor-related PTE diagnosed by PTCA were retrospectively analyzed, and the differences in relationship indexes between tumor-related PTE patients with good prognosis and poor prognosis were compared and analyzed. The receiver operating characteristic curve (ROC) was used to analyze the risk of death in patients with tumor-related PTE by CAR and DD. Results ① The values of CAR and DD in the poor prognosis group were 3.90 ± 2.69 and 21.25 ± 21.20, respectively, which were significantly higher than those in the good prognosis group (1.66 ± 1.77, 9.53 ± 3.57) ( P all <0.01). ② WBC, NE and SII in tumor-related PTE patients with poor prognosis were significantly higher than those in patients with good prognosis, while Hb in patients with poor prognosis was significantly lower than that in patients with good prognosis. ③ There was a significant positive correlation between CAR and DD ( P =0.018). ④ The values of CAR and DD in the death group were 4.07 ± 2.42 and 19.65 ± 20.48, respectively, which were significantly higher than those in the survival group (1.94 ± 2.12, 11.52 ± 15.84) ( P all<0.05). ⑤ The results of logistic regression analysis showed that both CAR ( P =0.000) and DD ( P =0.031) were independent prognostic factors in patients with tumor-related PTE. ⑥ CAR combined with DD had high sensitivity (77.8%) and specificity (83.5%), and the Youden index was 0.613. ⑦ The area under the receiver operating characteristic curve of CAR combined with DD was the largest (up to 0.806). Conclusion CAR and DD were highly expressed in patients with poor prognosis of tumor-related PTE. CAR combined with DD detection is helpful to improve the correct assessment of the risk of death in patients with tumor-related PTE.

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Section: Introductionmentioning

confidence: 99%

Risk Assessment of Death of Tumor-Related PTE by CAR Combined with DD Detection

Li¹,

Zheng²,

Lu³

et al. 2022

VHRM

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“…MPI has an important role, not only in therapeutic management of patients with known or suspected CAD, but also for patients' prognostication [29]. After comparing the prognostic ability between three widely available software packages and expert scoring of SSS, SRS, and SDS, we demonstrated the importance of visual assessment for patients' prognostication.…”

Section: Discussionmentioning

confidence: 93%

Long-Term Prognostic Value of Automated Measurements in Nuclear Cardiology: Comparisons with Expert Scoring

Angelidis,

Giannakou,

Valotassiou

et al. 2023

Medicina

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Background and Objectives: Automated methods for the analysis of myocardial perfusion studies have been incorporated into clinical practice, but they are currently used as adjuncts to the visual interpretation. We aimed to investigate the role of automated measurements of summed stress score (SSS), summed rest score (SRS), and summed difference score (SDS) as long-term prognostic markers of morbidity and mortality, in comparison to the prognostic value of expert reading. Materials and Methods: The study was conducted at the Nuclear Medicine Laboratory of the University of Thessaly, in Larissa, Greece. A total of 378 consecutive patients with known or suspected coronary artery disease were enrolled in the study. All participants were referred to our laboratory for the performance of stress/rest myocardial perfusion single photon emission computed tomography. Automated measurements of SSS, SRS, and SDS were obtained by Emory Cardiac Toolbox (ECTb (Version 3.0), Emory University, Atlanta, GA, USA), Myovation (MYO, Xeleris version 3.05, GE Healthcare, Chicago, IL, USA), and Quantitative Perfusion SPECT (QPS (Version 4.0), Cedars-Sinai Medical Center, Los Angeles, CA, USA) software packages. Follow-up data were recorded after phone contacts, as well as through review of hospital records. Results: Expert scoring of SSS and SDS had significantly greater prognostic ability in comparison to all software packages (p < 0.001 for all comparisons). Similarly, ECTb-obtained SRS measurements had significantly lower prognostic ability in comparison to expert scoring (p < 0.001), while expert scoring of SRS showed significantly higher prognostic ability compared to MYO (p = 0.018) and QPS (p < 0.001). Conclusions: Despite the useful contribution of automated analyses in the interpretation of myocardial perfusion studies, expert reading should continue to have a crucial role, not only in clinical decision making, but also in the assessment of prognosis.

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“…11 Inflammation plays a major role in all phases of heart disease, and CRP, CAR, NLR, and procalcitonin are inflammatory markers currently used to predict the prognosis of several diseases including coronary artery disease. [12][13][14][15][16] Cardiac troponins, D-dimer, and pro-BNP are parameters commonly used to show coronary ischemia or cardiac injury. [17][18][19] Coronary ischemia and inflammation caused by COVID-19 may lead to an increase in serum levels of these parameters for pa-tients with fQRS.…”

Section: Resultsmentioning

confidence: 99%

Relationship between ECG Findings and Serum Biomarkers in COVID-19 Patients

Perinçek

Karakayalı

Avcı

2021

Journal of Cardiovascular Emergencies

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Background and aim: The aim of this study was to evaluate the relationship between ECG findings and blood parameters indicative of inflammation and myocardial injury in COVID-19 patients. Methods: The study included 159 females and 194 males. Demographics, ECG findings (axis, rhythm, branch block, ST- and T-wave changes, premature ventricular contractions, early repolarization, S1Q3T3, fragmented QRS [fQRS], rate, PR, QRS, QT interval, QTc, P-wave dispersion) and albumin, D-dimer, ferritin, pro-BNP, procalcitonin, protein, troponin T, neutrophil-to-lymphocyte ratio (NLR), C-reactive protein/albumin ratio (CAR) were recorded. Results: In the study, 45% of the cases were female and 55% were male. The mean age of the included patients was 45.7 ± 24.4 years. The most frequent comorbidities were chronic obstructive pulmonary disease (COPD) and hypertension (HT) in both groups. The incidence of fQRS on the 1st day was significantly higher in patients with negative COVID-19 test (23% for positive RT-PCR versus 35.6% for negative RT-PCR, p = 0.016). QTc values on the 3rd and 5th day were significantly higher in patients with negative RT-PCR (p = 0.045 and p = 0.042, respectively). Albumin and procalcitonin were significantly higher in patients with positive COVID-19 test results (p = 0.018 and p <0.001, respectively). Patients with fragmented QRS presented significantly lower serum albumin (40.62 ± 4.73 g/L vs. 42.92 ± 3.72 g/L, p = 0.01), and protein levels (p = 0.02), as well as lower lymphocyte count, and significantly higher levels of C-reactive protein (47.01 ± 65.01 mg/L vs. 24.55 ± 44.17 mg/L, p = 0.001), D-dimer (p = 0.009), neutrophil count, pro-BNP (p = 0.004), troponin T (p <0.001), NRL and CAR (1.28 ± 1.83 versus 0.6 ± 1.11, p <0.001). Conclusion: Patients with COVID-19 infection presented significantly higher levels of C-reactive protein, D-dimer, neutrophil, pro-BNP, procalcitonin, troponin T, NLR, and CAR, and significantly lower levels of albumin, lymphocyte count, and serum proteins, indicating the level of inflammation and its relationship with myocardial injury. Further follow-up studies are required, on larger patient sets, for the development of risk prediction tools in COVID-19 patients.

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Value of C-reactive Protein/Albumin Ratio for Predicting Ischemia in Myocardial Perfusion Scintigraphy

Cited by 8 publications

References 22 publications

Risk Assessment of Death of Tumor-Related PTE by CAR Combined with DD Detection

Risk Assessment of Death of Tumor-Related PTE by CAR Combined with DD Detection

Long-Term Prognostic Value of Automated Measurements in Nuclear Cardiology: Comparisons with Expert Scoring

Relationship between ECG Findings and Serum Biomarkers in COVID-19 Patients

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