Two new inflammatory markers related to the CURB-65 score for disease severity in patients with community-acquired pneumonia: The hypersensitive ...

 
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Two new inflammatory markers related to the CURB-65 score for disease severity in patients with community-acquired pneumonia: The hypersensitive ...
Open Life Sciences 2021; 16: 84–91

Research Article

Bing Luo, Minjie Sun, Xingxing Huo, Yun Wang*
Two new inflammatory markers related to the CURB-65 score
for disease severity in patients with community-acquired
pneumonia: The hypersensitive C-reactive protein to albumin
ratio and fibrinogen to albumin ratio

https://doi.org/10.1515/biol-2021-0011                                  Keywords: community-acquired pneumonia, hypersen-
received October 16, 2020; accepted November 26, 2020                   sitive C-reactive protein to albumin ratio, fibrinogen to
Abstract                                                                albumin ratio, CURB-65
Background ‒ The objective of this study was to inves-
tigate the relationship among hypersensitive C-reactive
protein to albumin ratio (CAR), fibrinogen to albumin ratio
(FAR), and the CURB-65 score for community-acquired                     1 Introduction
pneumonia (CAP) severity.
Methods ‒ Clinical data and laboratory indicators of 82                 Without timely and effective treatment, patients with
patients with CAP and 40 healthy subjects were retro-                   community-acquired pneumonia (CAP) are at an increased
spectively analysed. The relationship among CAR, FAR,                   risk for severe CAP, which may cause serious complica-
and the severity of CAP was then analysed.                              tions, significantly affecting patients' the quality of life and
Results ‒ CAR and FAR in patients with low-risk CAP                     even put their lives in danger [1]. Therefore, the ability to
were significantly higher than those in the normal control               evaluate the severity of CAP and provide reasonable treat-
group (P < 0.05). CAR and FAR in patients with medium–                  ment is clinically significant. Most commonly, the CAP
high-risk CAP were further increased compared with those                severity index scoring system has been used to assess
in patients with low-risk CAP (P < 0.05). CAR and FAR                   whether patients with CAP can be treated as outpatients
were positively correlated with hypersensitive C-reactive               or inpatients [2], but the CURB-65 scoring system is also an
protein, neutrophil to lymphocyte ratio (NLR), platelet to              important tool used to predict the severity of CAP [3].
lymphocyte ratio (PLR), and CURB-65 scores (P < 0.05). In               However, these scoring systems require substantial time
the receiver operating characteristic curve for predicting              and effort to collect multiple sets of patient data. There-
severe CAP, the area under the curve of combining four                  fore, various biomarkers have been studied to assess the
biomarkers (CAR + FAR + NLR + PLR) was the largest. CAR                 severity of CAP. Presently, the neutrophil to lymphocyte
was also an independent risk factor for severe CAP (OR =                ratio (NLR), platelet to lymphocyte ratio (PLR), hypersen-
8.789, 95% CI: 1.543–50.064, P = 0.014).                                sitive C-reactive protein (hs-CRP), and fibrinogen (FIB)
Conclusions ‒ CAR and FAR may be used as the inflam-                     are the primary inflammation markers that have been
matory markers for CAP severity evaluation.                             studied in patients with CAP; of those, the NLR has
                                                                        been shown to be an important marker of disease prog-
                                                                        nosis and risk stratification in patients with CAP [4,5],
                                                                        whereas NLR and PLR have also been shown to be
                                                                      related to the severity of CAP [6]. However, the area
* Corresponding author: Yun Wang, Department of Hospital
                                                                        under the curve (AUC) of the receiver operating character-
Infection Management, Anhui No. 2 Provincial People’s Hospital,
1868 Dangshan Road, Hefei, Anhui 230041, China,                         istic (ROC) curve of a single indicator that predicted severe
e-mail: ahs2y2008@126.com                                               CAP was relatively small, and thus the combined evaluation
Bing Luo: Department of Clinical Laboratory, Anhui No. 2 Provincial     of multiple markers may provide more valuable diagnostic
People’s Hospital, Hefei, Anhui 230041, China                           information.
Minjie Sun: Department of Operating Room, Anhui No. 2 Provincial
                                                                             C-reactive protein to albumin ratio (CAR) and fibri-
People’s Hospital, Hefei, Anhui 230041, China
Xingxing Huo: Department of Scientific Research Center,
                                                                        nogen to albumin ratio (FAR) as the new inflammatory
The Traditional Chinese Medicine Hospital of Anhui province,            markers have become useful indicators to predict the sys-
Hefei, Anhui 230020, China                                              temic inflammatory response status. Specifically, CAR has

   Open Access. © 2021 Bing Luo et al., published by De Gruyter.      This work is licensed under the Creative Commons Attribution 4.0 International
License.
Two markers related to the CURB-65 score for disease severity in patients with CAP      85

been widely used to evaluate the post operative survival         2.2 CAP severity index
rate of patients with pancreatic ductal adenocarcinoma,
the prognosis of survival and recurrence in patients with        The CURB-65 score, which is an important tool used
oesophageal cancer, the activity of rheumatoid arthritis,        to predict the severity of CAP, assigns different scores
and the severity of coronary heart disease [7–10]. Another       to patients according to disturbance in consciousness,
new inflammatory marker, FAR, has shown utility in the            blood urea nitrogen level, respiratory frequency, blood
evaluation of gastrointestinal stromal tumours, prognosis        pressure, and patient age. The CURB-65 score was used
of resectable gastric cancer, and assessment of rheumatoid       for the classification of CAP severity. The total score
arthritis activity [9,11,12]. Moreover, both CAR and FAR have    ranges from 0 to 5: CURB-65 scores greater than or equal
been shown to be correlated with the activity level of           to 0 and less than or equal to 1 indicate low risk; scores
rheumatoid arthritis [9]. However, the application of CAR        equal to 2 indicate medium risk; scores greater than or
and FAR in the assessment of CAP severity has not been           equal to 3 and less than or equal to 5 indicate high risk
reported in the literature.                                      [3]. The CURB-65 score was used to assess the severity of
     We assume that CAR and FAR might be two impor-              CAP at the time of admission, after which the patients
tant markers that can be used to evaluate the severity of        were divided into two groups based on the CURB-65
CAP. Therefore, this study intends to explore whether            score: the low-risk CAP group included 42 patients with
CAR and FAR are associated with CAP's severity and com-          CURB-65 scores greater than or equal to 0 and less than or
pare them with other known markers.                              equal to 1; the medium–high-risk CAP group included 40
                                                                 patients with CURB-65 scores greater than or equal to 2
                                                                 and less than or equal to 5.

2 Materials and methods
                                                                 2.3 Clinical evaluation and laboratory data
2.1 Subjects
                                                                 Clinical evaluation and laboratory data of all patients
A total of 82 patients with CAP who presented at Anhui           included age, sex, leukocyte count (WBC), neutrophil
No. 2 Provincial People’s Hospital from January 2018             (N) count, lymphocyte (L) count, platelet (PLT) count,
to April 2019 were classified as the CAP group and                D–dimer (D–D), hypersensitive C-reactive protein (hs-CRP),
were enrolled in this retrospective study. All patients          albumin (ALB), and FIB. All patients fasted overnight
with CAP were diagnosed according to the American                for 8–10 h after admission. Whole blood was collected
Thoracic Society/Infectious Disease Society of America's         in the morning for testing according to the requirements
(2019) diagnostic standard [13]. The following patients          of various test indicators. All operations were completed
were excluded from the study: patients who received other        within 2 h in strict accordance with the standard oper-
treatment for 3 months, patients with CAP complicated by         ating procedures of the instrument and the requirements
malignant tumours, other chronic diseases, infection or          specified in the reagent manual (Sysmex automatic coa-
inflammatory diseases, systemic autoimmune diseases, and          gulation analyser CS-5100, Japan; Sysmex automatic
cardiovascular and metabolic diseases. The normal con-           blood cell analyser XN-1001, Japan; Hitachi automatic
trol group was composed of 40 healthy subjects matched           biochemical analyser 008AS, Japan). CAR, FAR, NLR,
by age and sex in the physical examination centre.               and PLR were calculated according to the results of indi-
                                                                 vidual items.
Informed consent: Informed consent has been obtained
from all individuals included in this study.

Ethical approval: The research related to human use has          2.4 Statistical analysis
been complied with all the relevant national regulations,
institutional policies, and in accordance with the tenets        SPSS21.0 (Version 21.0, Chicago, IL, USA) and MedCalc15.2.2
of the Helsinki Declaration and has been approved by the         were used for the statistical analysis, the measurement data
ethics committee of Anhui No. 2 Provincial People’s              were described by the mean (SD), and gender was shown as
Hospital (No. 2017-05).                                          male (female). The Kolmogorov–Smirnov test was used to
86          Bing Luo et al.

verify data normality, the chi-square test was used for               3.2 Clinical data and laboratory results of
counting data, independent sample t-test or one-way                       three groups of subjects
ANOVA was used for measurement data, and Pearson cor-
relation analysis was used for linear correlation analysis.           The clinical data and laboratory results of 42 patients
Spearman correlation was used for rank correlation analysis.          with low-risk CAP, 40 patients with medium–high-risk
The CURB-65 binary model (CURB-65 ≦ 1 and CURB-65 ≧ 2)                CAP, and 40 healthy subjects were evaluated, and the
was used to analyse the relationship between laboratory               results are presented in Table 2. Significant differences
parameters and CAP severity by logistic regression. The               were observed in the results of all parameters among the
statistical level was set at 0.05.                                    three groups except sex (P = 0.767) and age (P = 0.199).
                                                                      The NLR, PLR, D–D, hs-CRP, CAR, FIB, and FAR were all
                                                                      elevated in patients with low-risk CAP and medium–high-
                                                                      risk CAP, whereas PLT, L, and ALB were decreased, and
                                                                      WBC and N were significantly increased in patients with
3 Results                                                             medium–high-risk CAP compared with the normal control
                                                                      group. In addition, the differences in WBC, N, L, NLR, PLR,
3.1 Clinical data and laboratory results of                           D–D, hs-CRP, CAR, FAR, and ALB were statistically signifi-
    study groups                                                      cant between the low-risk CAP group and medium–high-
                                                                      risk CAP group (P < 0.05) (Table 2).
The hospital records of 82 patients with CAP and 40
gender- and age-matched healthy control subjects were
assessed. The clinical data and laboratory results of the
                                                                      3.3 ROC curve of NLR, PLR, CAR, FAR, and
two groups of subjects are presented in Table 1. Signifi-
cant differences were observed in 14 parameters between                    combining four biomarkers (CAR + FAR +
the two groups but not gender (P = 0.585) and age (P =                    NLR + PLR) for predicting severity in
0.239). Patients with CAP had elevated levels of WBC, N,                  patients with CAP
NLR, PLR, D–D, hs-CRP, CAR, FIB, and FAR, whereas
their levels of L, PLT, and ALB tended to be decreased                The prediction efficacy of NLR, PLR, CAR, FAR, and com-
(Table 1).                                                            bining four biomarkers (CAR + FAR + NLR + PLR) for

Table 1: Clinical data and laboratory results of study groups, mean (SD)

Parameters                          Control group (N = 40)                 CAP group (N = 82)            t/χ2                  P-value

Gender: male (female)               25 (15)                                47 (35)                          0.299               0.585
Age: year, mean (SD)                75.93 (8.69)                           78.00 (9.29)                     1.183               0.239
WBC (109 L−1)                       6.51 (1.69)                            8.83 (4.69)                      3.988
Two markers related to the CURB-65 score for disease severity in patients with CAP             87

Table 2: Clinical data and laboratory results of three groups of subjects, mean (SD)

Parameters                   Control group           Low-risk CAP group           Medium–high-risk CAP             F/χ2           P-value
                             (N = 40)                (N = 42)                     group (N = 40)

Gender: male (female)        25 (15)                 23 (19)                      24 (16)                            0.531         0.767
Age: year, mean (SD)         75.93 (8.69)            76.67 (7.97)                 79.40 (10.42)                      1.099         0.199
WBC (109 L−1)                6.51 (1.69)             7.35 (4.10)                  10.38 (4.81)*#                    11.657
88            Bing Luo et al.

Table 3: AUC analysis results of ROC curve of NLR, PLR, CAR, and                 a collinearity problem between hs-CRP and CAR with
FAR for predicting severe in patients with CAP                                   variance inflation factor equal to 12.511, and thus hs-CRP
                                                                                 was excluded from the regression model. The updated
Laboratory           AUC         Standard         P-value   95% CI               results are presented in Table 6. Multivariate logistic
indicators                       error
                                                                                 regression analysis showed that high CAR was an inde-
NLR                  0.786       0.051
Two markers related to the CURB-65 score for disease severity in patients with CAP              89

Figure 2: Correlation analysis of CAR with NLR, PLR, and hs-CRP in patients with CAP, CAR, and NLR (a); CAR and PLR (b); and CAR and
hs-CRP (c).

patients with CAP are consumed in the anti-infection                 Table 6: Multivariate logistic regression analysis of risk factors for
immunity response [16]. Therefore, NLR and PLR are con-              severe CAP
sidered to be representative of the inflammatory status
[17,18]. It has been reported that NLR and PLR may be                Index         B         Wald χ2   OR       OR 95% CI        P-value
alternative markers of CAP-related inflammation [19–21].              WBC           −1.067    1.188     0.344    0.051–2.343      0.344
Moreover, NLR and PLR have been shown to be predictors               (109 L−1)
of CAP severity [6]. As shown in this study, NLR and PLR             N (109 L−1)    1.067    1.056      2.906   0.380–22.233     0.304
                                                                     L (109 L−1)    1.538    1.284      4.653   0.326–66.481     0.257
are positively correlated with the CURB-65 score and can
                                                                     D–D            0.092    3.712      1.096   0.998–1.203      0.054
distinguish the severity of CAP, which is consistent with
                                                                     (mg L−1)
what is reported in the literature. Therefore, NLR and PLR           ALB (g L−1)    0.094    0.958     1.098    0.910–1.324      0.328
may be potential predictors of the CAP's severity.                   NLR            0.087    0.778     1.091    0.899–1.324      0.378
     CAR is the ratio of hs-CRP to ALB, and both hs-CRP              PLR            0.000    0.004     1.000    0.993–1.007      0.949
and ALB are associated with inflammation. hs-CRP belongs              CAR            2.173    5.995     8.789    1.543–50.064     0.014
                                                                     (mg g−1)
to the acute phase reaction protein response, which is
                                                                     FAR           −0.004    0.199     0.996    0.979–1.013      0.655
increased in inflammatory conditions [22]. At the same                (mg g−1)
time, inflammation can reduce plasma albumin synth-
esis, resulting in hypoalbuminaemia [9], and thus CAR
is a more sensitive predictor of inflammatory status. CAR             are elevated in patients with CAP and that a significant
has been widely used in the evaluation of the post opera-            increase in the levels of CAR is observed in patients with
tive survival rate of pancreatic ductal adenocarcinoma               medium–high-risk CAP compared with patients with low-
patients, the prognosis of colorectal cancer patients after          risk CAP. At the same time, CAR was positively correlated
surgery, the activity of rheumatoid arthritis, and coronary          with NLR, PLR, hs-CRP, and the CURB-65 score, and CAR
heart disease severity [7–10]. However, thus far, nothing            was an independent risk factor for severe CAP compared
has been published on the relationship between CAR and               with the NLR and PLR. This study suggests that CAR may
the severity of CAP. To the best of our knowledge, this              be an inflammatory parameter and a potential predictor
is the first clinical study that has shown that CAR levels            of CAP severity.

Figure 3: Correlation analysis of FAR with NLR, PLR, and hs-CRP in patients with CAP, FAR, and NLR (a); FAR and PLR (b); and FAR and
hs-CRP (c).
90        Bing Luo et al.

     Similar to CAR and FAR (ratio of FIB to ALB), FIB       Data availability statement: The datasets generated
is also involved in the acute phase reaction protein         during and/or analysed during the current study are
response, which is increased in inflammatory conditions       available from the corresponding author on reasonable
[23], and inflammatory conditions will reduce the serum       request.
albumin levels [9]. In addition, FIB and ALB are asso-
ciated with CAP [24,25], and these findings have aroused
our interest in combining FIB and ALB as a new potential
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