Elsabaawy, M., Elazab, G., Khalil, F., Alhajajy, F., Awadien, M., Abd Elmaksoud, F., Abdelkareem, M. (2024). Study of CD64 and HLA-DR as Early Detection Markers of Sepsis in Hepatic ICU Patients. Afro-Egyptian Journal of Infectious and Endemic Diseases, 14(3), 287-297. doi: 10.21608/aeji.2024.282942.1379
Maha Elsabaawy; Gasser Elazab; Fatma Khalil; Fatama Alhajajy; Mohamed Awadien; Fatma Abd Elmaksoud; Mervat Abdelkareem. "Study of CD64 and HLA-DR as Early Detection Markers of Sepsis in Hepatic ICU Patients". Afro-Egyptian Journal of Infectious and Endemic Diseases, 14, 3, 2024, 287-297. doi: 10.21608/aeji.2024.282942.1379
Elsabaawy, M., Elazab, G., Khalil, F., Alhajajy, F., Awadien, M., Abd Elmaksoud, F., Abdelkareem, M. (2024). 'Study of CD64 and HLA-DR as Early Detection Markers of Sepsis in Hepatic ICU Patients', Afro-Egyptian Journal of Infectious and Endemic Diseases, 14(3), pp. 287-297. doi: 10.21608/aeji.2024.282942.1379
Elsabaawy, M., Elazab, G., Khalil, F., Alhajajy, F., Awadien, M., Abd Elmaksoud, F., Abdelkareem, M. Study of CD64 and HLA-DR as Early Detection Markers of Sepsis in Hepatic ICU Patients. Afro-Egyptian Journal of Infectious and Endemic Diseases, 2024; 14(3): 287-297. doi: 10.21608/aeji.2024.282942.1379
Study of CD64 and HLA-DR as Early Detection Markers of Sepsis in Hepatic ICU Patients
1Hepatology and Gastroenterology department, National Liver Institute, Menoufia University Shebeen El-Kom, Egypt
2Microbiology and Immunology department, National Liver Institute, Menoufia University, Shebeen El-Kom, Egypt
3Internal Medicine department, Faculty of medicine, Misr University For Science and Technology, Cairo, Egypt.
4Clinical and Chemical Pathology department, Faculty of medicine, Cairo University, Cairo, Egypt
Abstract
Background and study aim: Sepsis is the most common cause of death in liver cirrhosis patients. Aim: Evaluation of neutrophil and monocyte CD64 and HLA-DR as early biomarkers predicting sepsis in liver cirrhosis. Patients and Methods: This case-control study involved 70 cirrhotic patients (35 with sepsis and 35 without) and 30 healthy individuals. Laboratory studies were performed, including CD64 and HLA-DR using flow cytometry along with sepsis index (SI). Results: Patients were mainly males (80%), aged 62.17 ± 7.56, and 64.69 ± 11.64 years in group 1&2 respectively. Mono CD64% at Cut-off: >62.9 showed AUC: 0.676, Sensitivity: 80.0%, Specificity: 60.0%, PPV: 66.7%, and NPV: 75.0%, while Mono CD64 MFI at Cut-off >9.5 showed AUC: 0.659, Sensitivity: 94.29%, Specificity: 37.14%, PPV: 60.0%, and NPV: 86.7%. Combinations of CRP+ Lactate+ Mono CD64%+ Mono revealed AUC: 0.929, Sensitivity: 82.86%, Specificity: 91.43%, PPV: 90.6%, and NPV: 84.2% Mono CD64% and CD64 MFI (0.003; 0.03] respectively. Regression analysis defined Mono CD64% >62.9 (OR 6], Mono CD64 MFI >9.5 (OR 9.75) CRP >32.4 (OR 13.5), lactate>1.93 (OR 12.08) and ALBI score>0.01 (OR 6) all as factors affecting early sepsis in cirrhosis. Conclusion: Mono CD64% and Mono CD64 MFI proved efficacy as early septic biomarkers with higher efficacy when combined with traditional inflammatory markers in liver cirrhosis patients.
Highlights
Sepsis is considered the most common cause of death in liver cirrhosis patients.
This study pioneers in presenting comprehensive findings on the correlation of immune-related markers with sepsis in a cirrhotic cohort.
The potentiality of these markers as early indicators of early sepsis management in cirrhotic patients had emphasized the broader relevance of the findings in critical care settings.
Compared to traditional markers like CRP and S. Lactate, CD64 has comparable diagnostic value to distinguish sepsis in cirrhotic patients with the advantageous timely character allowing prompt management for this high risky critical cohort.
In intensive care units (ICUs), sepsis stands as a leading cause of morbidity and mortality, posing diagnostic challenges due to diverse comorbidities and underlying illnesses [1]. Globally, sepsis, responsible for 48.9 million cases and 11.0 million deaths in 2017, remains a critical health concern, necessitating immediate attention, particularly in terms of early detection and innovative therapeutic approaches [2].Traditional diagnostic methods for sepsis, relying on serum analysis and molecular techniques, confront challenges due to vague symptoms and a lack of a definitive gold standard test for confirmation [3]. Blood culture tests, commonly used for identifying infectious bacteria, are time-consuming and not always accurate. Molecular methods, encompassing polymerase chain reaction and microarray, offer varying sensitivity and specificity. Despite the development of over 170 biomarkers for sepsis screening, only a few prove significant in practical applications [4]. Cirrhosis was known as a precipitant of sepsis due to Bacterial overgrowth, increased intestinal permeability, and cirrhosis-associated immune dysfunction [CAID] predispose cirrhotic patients to bacterial infections, which in turn leads to four-fold increased mortality compared with non-cirrhotic patients [5].
Nevertheless, the need for early predictors of the occurrence of sepsis and mortality in patients with liver cirrhosis was only conducted by investigating various immune cell markers, including PMN CD64%, PMN CD64 MFI, PMN HLA-DR%, Mono CD64%, Mono CD64 MFI, Mono HLA-DR MFI, and Sepsis Index CD64, a high-affinity Fcγ receptor, exhibits heightened expression on neutrophils during systemic inflammatory response syndrome [SIRS], making it a promising early marker for bacterial infection [6].
Correspondingly, reduced monocytic HLA-DR (mHLA-DR) expression serves as a consistent marker for immunosuppression in sepsis patients [7].
Flow cytometry (FCM) emerges as a valuable diagnostic tool for immune-related disorders, offering insights into the systemic response to infection through profiling cytokines and surface markers (e.g., neutrophil CD64 and mHLA-DR). This was the impulse of the current study assessing the role of neutrophil CD64 and HLA-DR as markers of early detection of sepsis in liver cirrhosis patients.
PATIENTS/MATERIALS AND METHODS
Patients:
This case-control study was conducted on patients diagnosed with liver cirrhosis, either complicated with sepsis or not. Participants were recruited from outpatients, inpatients, and the Intensive Care Unit [ICU] within the Hepatology and Gastroenterology Department at the National Liver Institute, Menoufia University. Patients with cirrhosis were diagnosed based on clinical, laboratory, and radiological criteria [8].
Sepsis diagnosis in patients was based on clinical suspicion (cultures taken or antibiotics started] along with the fulfillment of SIRS criteria (2 or more of White Cell Count (WCC) >11 or <4, Heart Rate (HR) >90, Respiratory Rate (RR) >20, or temperature >38 or <36°C) [9-11].
Exclusion criteria
Participants meeting any of the following criteria: Patients younger than 18 years, acute pancreatitis, septic shock at the time of enrolment, severe organ failure at the time of enrolment (an immediate requirement for ventilation, vasopressor, or renal replacement therapy), hematological malignancy, recent chemotherapy (within the past 2 weeks), myelodysplastic syndromes, known neutropenia, pregnancy, blood transfusion exceeding 4 units in the past week, oral corticosteroids for >24 hours prior to enrolment, patients with human immunodeficiency virus [HIV] or patients with an ICU length of stay less than 24 Hours or more than 100 days were excluded.
Patients were categorized into the following groups: Group 1: 35 ICU Cirrhotic patients with sepsis meeting inclusion criteria, Group 2: 35 cirrhotic patients without sepsis and Group 3: 30 healthy individuals without a history or clinical evidence of liver disease or any other disease, with negative anti-HCV and HBsAg.
For all patients, the following procedures were conducted: History taking [age, sex, history of blood transfusion, history of any surgery], Clinical examination, Chest X ray, Abdominal sonar, Laboratory investigations, including ( Complete blood count [CBC], CRP, kidney function test, Urine analysis, Anti-HCV and detection of HCV RNA by PCR, HBV serological markers [HBsAg and anti-HBc], Liver profile: alanine aminotransferase [ALT], aspartate aminotransferase [AST], serum albumin, total bilirubin, ascitic fluid analysis for spontaneous bacterial peritonitis (12), and Serial measures of serum lactate.
Sepsis index (based on the combination of two CBC parameters: monocyte distribution width (MDW) and mean monocyte volume (MMV) [14] (The Sepsis Index Score from two monocyte parameters often refers to a method that evaluates sepsis risk using monocyte distribution width (MDW) and monocyte volume distribution width (MVW). SI=MDW×MVW/100.
Detection of PMN CD64%, PMN CD64 MFI, PMN HLA-DR%, PMN HLA-DR MFI, Mono CD64%, Mono CD 64 MFI, Mono HLA-DR%, and Mono HLA-DR MFI using flow cytometry [16, 17].
Sampling
The antibody used in this study underwent quality control testing through immunofluorescent staining with flow cytometric analysis. The recommended amount of reagent was 5 μL of antibody per test [for a million cells in 100 μL staining volume or per 100 μL of whole blood].
Ethical Approval
The study protocol received approval from the ethical committee of our institution, and all selected patients provided informed consent before enrolment in the study.
Statistical analysis
The data was first coded and verified before its entry. The computer program Statistical Package for Social Sciences (SPSS) (ver.21) Chicago, USA was used for analyzing the collected data and for drawing figures.
Data expressed as mean ± standard deviation and number, percentage. Student-t-test and ANOVA tests were used to determine the significant difference for the numeric variable. Chi.-square was used to determine the significant values for categorical variables. Person’s correlation was used for correlations between groups. P value is considered significant when P value < 0.05 and not significant when P value > 0.05.
RESULTS
All demographic and laboratory criteria are illustrated in table 1. The most common causes of infections in liver cirrhosis patients were mainly spontaneous bacterial peritonitis (SBP) (table 2).
CRP at Cut-off Point: >50 showed AUC: 0.882, Sensitivity: 80.0%, Specificity: 77.14%, with positive predictive value (PPV): 77.8%, and negative predictive value (NPV): 79.4%.
Lactate at Cut-off Point: >3.5 showed AUC: 0.750, Sensitivity: 71.43%, Specificity: 82.86%, PPV: 80.6%, and NPV: 74.4%. Mono CD64% at Cut-off Point: >62.9 showed AUC: 0.676, Sensitivity: 80.0%, Specificity: 60.0%, PPV: 66.7%, and NPV: 75.0%.
Mono CD64 MFI at Cut-off Point >9.5 shoed AUC: 0.659, Sensitivity: 94.29%, Specificity: 37.14%, PPV: 60.0%, and NPV: 86.7%.
Patients with sepsis showed that the combination of ALBI score and S. Lactate had sensitivity, specificity, PPV, NPV, and accuracy of 80%, 80%, 80%, 80%, and 0.831%, respectively (figure 1D).
Combinations of CRP + S. Lactate + Mono CD64% + Mono CD64 MFI revealed AUC: 0.929, Sensitivity: 82.86%, Specificity: 91.43%, PPV: 90.6% and NPV: 84.2% (figure 1).
The immune markers only Mono CD64% and Mono CD64 MFI were significantly elevated in septic patients than others (P=0.01) (table 3).
According to Uni-Varity model, early prediction of sepsis in cirrhotic patients we noticed the following results: (Creatinine >1 with OR 4.231 – Urea >107 with OR 8 – Na ≤136 with OR 7.222 - T.B >3.29 with OR 8 – PMN >68.1 with OR 0.120 – Lymphocytes ≤8.4 with OR 11.625 - Mono CD64% >62.9 with OR 6 - Mono CD64 MFI >9.5 with OR 9.750 – CRP >32.4 with OR 13.500 – Lactate >1.93 wit OR 12.083 - ALBI score >0.01 with OR 6 - MELD (UNOS)>7.66 WITH OR 22 - MELD-Na >10.53 with OR 13.5).
According to Muli-Varity model, early prediction of sepsis in cirrhotic patients showed the following: (CRP >32.4 with OR 67.014, Lactate >1.93 with OR 128.345, ALBI score >0.01 with OR 46.461, MELD [UNOS) >7.66 with OR 21.709, and MELD-Na >10.53 with OR 21.184); this is summarized in table 4.
Table 1. Comparison between the two studied groups of cirrhotic patients regarding demographic and laboratory parameters
Group 1
Group 2
Test value
P-value
Sig.
No. = 35
No. = 35
Age
Mean ± SD
62.17 ± 7.56
64.69 ± 11.64
-1.072•
0.288
NS
Range
49 - 75
43 - 87
Sex
Females
7 [20.0%]
11 [31.4%]
1.197*
0.274
NS
Males
28 [80.0%]
24 [68.6%]
HB
Mean ± SD
10.09 ± 1.77
10.12 ± 2.51
-0.061•
0.952
NS
Range
6.6 - 13.3
6.1 - 16.9
TLC
Median [IQR]
10.5 [6.2 - 16.6]
6.5 [5.2 - 9.3]
-3.478≠
0.001
HS
Range
4.8 – 45.2
4.4 – 12.4
PLT
Median [IQR]
125 [73 - 197]
115 [69 - 167]
-0.628≠
0.530
NS
Range
25 – 459
39 – 416
Creatinine
Median [IQR]
1.47 [0.95 - 2.73]
0.98 [0.69 - 1.39]
-2.967≠
0.003
HS
Range
0.6 – 5.08
0.26 – 3.09
Urea
Median [IQR]
123 [51 - 185]
58 [33 - 85.5]
-2.843≠
0.004
HS
Range
18 – 350
14 – 233
Na
Mean ± SD
133.54 ± 7.08
137.17 ± 6.25
-2.273•
0.026
S
Range
113 – 151
113 - 144
K+
Mean ± SD
4.3 ± 0.82
4.33 ± 1.19
-0.128•
0.898
NS
Range
3 - 6.1
1.2 - 9.9
ALT
Median [IQR]
33 [25 - 97]
30 [19 - 50]
-1.445≠
0.148
NS
Range
11 – 463
11 – 129
AST
Median [IQR]
70 [37 - 154]
49 [31 - 97]
-1.410≠
0.159
NS
Range
13 – 1575
18 – 419
Alb
Mean ± SD
2.65 ± 0.54
2.82 ± 0.74
-1.139•
0.259
NS
Range
1.5 - 3.7
1.3 - 4.4
T.B
Median [IQR]
3.91 [1.12 – 14.38]
1.6 [0.9 – 2.71]
-2.402≠
0.016
S
Range
0.13 - 31.91
0.23 - 29
ALBI score
Median [IQR]
0.19 [-0.37 – 0.74]
-0.23 [-0.49 – 0.01]
-2.391≠
0.017
S
Range
-1.36 – 1.14
-1.11 – 1.07
MELD [UNOS]
Median [IQR]
7.76 [7.26 – 8.44]
6.92 [6.48 – 7.57]
-4.282≠
0.001
HS
Range
5.54 – 10.12
5.82 – 8.82
MELD-Na
Median [IQR]
11.81[10.6 – 17.12]
8.46 [6.22 – 10.39]
-3.418≠
0.001
HS
Range
-0.83 – 29.36
2.62 – 29.1
P>0.05: Non-significant [NS]; P
•: Independent t-test; ≠: Mann Whitney test
Table 2. Comparison between the two studied groups of cirrhotic patients regarding the source of infection and inflammatory markers.
Group 1 [Sepsis] (35)
Group 2 [Non-sepsis] (35)
Test value
P-value
Sig.
Urine (pus cell)
Median[IQR]
5 [2 - 10]
3 [2 - 7]
-1.449‡
0.147
NS
Range
1 – 55
2 – 15
CXR
Negative
27 [77.1%]
35 [100.0%]
9.032*
0.003
HS
Positive
8 [22.9%]
0 [0.0%]
TLC ascitic
Median[IQR]
0.9 [0.34 - 4.2]
0.25 [0.09 - 0.36]
-5.122‡
0.001
HS
Range
0.1 – 23.43
0.02 – 0.45
PMN
Mean ± SD
69.97 ± 15.65
54.66 ± 22.02
3.353•
0.001
HS
Range
30.9 - 94.9
12.8 - 88.9
Lymphocyte
Median [IQR]
8.1 [4.8 - 17.7]
23.5 [10.9 - 45.60]
-4.088‡
0.001
HS
Range
1 – 36.1
3.7 – 80.4
Monocyte
Median [IQR]
7.5 [5.7 - 11.7]
8.7 [5.7 - 12.4]
-0.640‡
0.522
NS
Range
1 – 18.8
2.7 – 22.7
CRP
Median [IQR]
115.3 [85.9 – 153.9]
8.8 [5 – 50]
-5.498‡
0.001
HS
Range
6.3 – 311
0.8 – 97.88
S. Lactate
Median [IQR]
9.5 [1 – 25.5]
1.3 [0.62 - 2.5]
-3.595‡
0.001
HS
Range
0.33 – 48.5
0.11 – 36.4
P>0.05: Non-significant [NS]; P
Table 3. Comparison between the three studied groups regarding Neutrophil, Monocytes and sepsis index of the studied patients
Group 1 ( 35)
Group 2 (35)
Group 3 ( 30)
Test value
P-value
Sig.
PMN CD64%
Mean±SD
16.32 [7.97 – 30.6]
13.9 [8.1 – 23.4]
3.1 [2 – 4.8]
8.314•
0.001
HS
Range
1.55 - 92.2
2.1 - 63.2
1.4 - 64
PMN CD64 MFI
Mean±SD
8.19 [6.87 – 10]
7.96 [6.48 – 9.93]
5.65 [5.11 – 6.12]
8.121≠
0.001
HS
Range
3.79 - 19.4
4.42 - 38.3
2.08 - 7.84
PMN HLA-DR%
Mean±SD
5.95 [2.41 – 15.34]
15.72 [3.55 – 23.3]
3.57 [2.6 – 6.4]
9.828≠
0.001
HS
Range
0.6 - 40.96
1.46 - 56.84
0.94 - 12.19
PMN HLA-DR MFI
Mean±SD
5.92 [4.04 – 9.3]
4.79 [3.58 – 7.75]
4.99 [4.37 – 7.12]
0.784≠
0.460
NS
Range
0.5 - 15.7
2.01 - 17.6
2.26 - 15.3
Mono CD64%
Mean±SD
71.8 ± 14.6
58.1 ± 22.33
59.33 ± 14.46
6.325•
0.003
HS
Range
39.3 – 95
20.39 - 93.5
6.4 - 85.4
Mono CD 64 MFI
Mean±SD
13.19 ± 3.23
11.25 ± 4.07
7.2 ± 2.49
26.365•
0.001
HS
Range
6.76 - 20.5
4.71 - 25.8
3.42 - 17.2
Mono HLA-DR%
Median [IQR]
60.38 [50.59 - 79.46]
55.1 [29.29 - 73.6]
68.6 [59.6 - 78.32]
5.565≠
0.062
NS
Range
15.7 – 96.4
2.32 – 91
0.6 – 87
Mono HLA-DR MFI
Median [IQR]
11.7 [10.1 - 18.1]
10.9 [6.53 - 15.9]
8.61 [7.02 - 10.7]
12.387≠
0.002
HS
Range
5.44 – 37.9
4.1 – 31.7
1.74 – 21.7
Sepsis INDEX [SI]
Median [IQR]
23.73 [13.72 – 48.53]
28.46 [15.32 – 62.82]
5.48 [2.92 – 7.74]
35.213≠
0.001
HS
Range
2.65 – 288.6
5 – 594.83
1.78 – 550
Post Hoc Analysis
Parameters
P1
P2
P3
PMN CD64%
0.573
0.001
0.001
PMN CD64 MFI
0.526
0.001
0.001
PMN HLA-DR%
0.068
0.049
0.001
Mono CD64%
0.011
0.001
0.990
Mono CD64 MFI
0.022
0.001
0.001
Mono HLA-DR MFI
0.106
0.001
0.079
Sepsis INDEX [SI]
0.394
0.001
0.001
•: One Way ANOVA test; ≠: Kruskall-Wallis test
P1: Comparison between group 1 vs group 2
P2: Comparison between group 1 vs group 3
P3: Comparison between group 2 vs group 3
Table 4: Logistic regression analysis for predictors of sepsis group
Univariate
Multivariate
P-value
Odds ratio
[OR]
95% C.I. for OR
P-value
Odds ratio
[OR]
95% C.I. for OR
Lower
Upper
Lower
Upper
Creatinine>1
0.005
4.231
1.550
11.546
0.289
0.188
0.009
4.124
Urea>107
0.001
8.000
2.509
25.507
--
--
--
--
Na≤136
0.001
7.222
2.515
20.736
--
--
--
--
T.B>3.29
0.001
8.000
2.509
25.507
0.689
5.352
0.001
19899.516
PMN>68.1
0.001
0.120
0.041
0.350
--
--
--
--
Lymph≤8.4
0.001
11.625
3.359
40.236
--
--
--
--
Mono CD64%>62.9
0.001
6.000
2.060
17.479
0.198
5.222
0.421
64.700
Mono CD64 MFI>9.5
0.005
9.750
2.001
47.498
0.162
12.393
0.363
423.241
CRP>32.4
0.001
13.500
4.301
42.375
0.026
26.402
1.467
475.117
S.Lactate >1.93
0.001
12.083
3.846
37.963
0.007
65.347
3.159
1351.831
ALBI score>0.01
0.001
6.000
2.060
17.479
0.928
1.441
0.000
4181.903
MELD [UNOS] >7.66
0.001
22.000
4.547
106.434
0.073
21.709
0.754
625.417
MELD-Na >10.53
0.001
13.500
4.301
42.375
0.060
21.184
0.882
508.590
DISCUSSION
Exploring the diagnostic markers of early sepsis in cirrhotic patients with CAID had emphasized the significance of cell immune markers in timely detection in the ICU setting [17].
The current study had demarcated significant elevations in ordinary sepsis markers like C-reactive protein (CRP), PMN counts, lactate, and sepsis index (P=0.001) in ICU patients with sepsis. This is the usual picture of a cirrhotic septic patient in the ICU [18]. CRP, being an acute-phase reactant produced by the liver during inflammation, is recognized as a valuable marker, known for its characteristic surge during infection, often rising significantly [18]. Additionally, D'Abrantes. et al, emphasized the predictive value of plasma lactate levels in assessing the prognosis of sepsis [19]. Hyperlactatemia and lactic acidosis, as observed in our study, may result from increased lactate production due to impaired tissue oxygenation, stemming from reduced oxygen delivery or disorders in oxygen utilization, ultimately leading to heightened anaerobic metabolism [20].
In this study, a significantly elevated total bilirubin (TB) in septic patients compared to the non-septic cirrhotic group, pointing to the role of sepsis in this
elevation. Cholestasis-induced sepsis (CIS) differs from hepatic cellular dysfunction-associated cirrhosis in its gradual onset post-ICU admission, marked by rising bilirubin, alkaline phosphatase, and gamma-glutamyl transferase levels.
Cirrhotic patients with sepsis demonstrated elevated ALBI scores, MELD (UNOS), and MELD-Na values in comparison to non-septic cases. This observation aligns with the understanding that sepsis is a significant milestone in the progression towards mortality, and all these scores serve as reliable indicators of short-term survival [21]. Elevated bilirubin due to CIS contributes greatly to these elevations. Also, albumin, which is significantly reduced in cirrhosis-sepsis cases might be an important discriminator [22]. Hypoalbuminemia is more common in sepsis patients, particularly those with septic shock, due to the leakage of protein-rich fluid caused by capillary dysfunction. Previous research indicates that low serum albumin levels are associated with higher mortality risk in sepsis [23-24].
However, the need for early predictors of the occurrence of sepsis and mortality in patients with liver cirrhosis was only conducted by investigating various immune cell markers, including PMN CD64%, PMN CD64 MFI, PMN HLA-DR%, Mono CD64%, Mono CD64 MFI, Mono HLA-DR MFI, and Sepsis Index (SI).
Statistically significant elevations in Mono CD64%, Mono CD64 MFI, and SI were observed in cirrhotic patients, with sepsis, indicating altered immune responses and signifying their prognostic value.
The diagnostic accuracy of these markers was assessed with sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy. CRP at Cut-off Point: >50 showed AUC: 0.882, Sensitivity: 80.0%, Specificity: 77.14%, with positive predictive value (PPV): 77.8%, and negative predictive value (NPV): 79.4%. Lactate at Cut-off Point: >3.5 showed AUC: 0.750, Sensitivity: 71.43%, Specificity: 82.86%, PPV: 80.6%, and NPV: 74.4%. Mono CD64% at Cut-off Point: >62.9 showed AUC: 0.676, Sensitivity: 80.0%, Specificity: 60.0%, PPV: 66.7%, and NPV: 75.0%. while Mono CD64 MFI at Cut-off Point >9.5 shoed AUC: 0.659, Sensitivity: 94.29%, Specificity: 37.14%, PPV: 60.0%, and NPV: 86.7%. Patients with sepsis showed that the combination of ALBI score and S. Lactate had sensitivity, specificity, PPV, NPV, and accuracy of 80%, 80%, 80%, 80%, and 0.831%, respectively. Combinations of CRP + S. Lactate + Mono CD64% + Mono CD64 MFI revealed AUC: 0.929, Sensitivity: 82.86%, Specificity: 91.43%, PPV: 90.6%, and NPV: 84.2%. Mono CD64 MFI (94.29%) stands out as having the highest sensitivity, which is crucial for identifying true positive cases. The combined use of CRP, S. Lactate, Mono CD64%, and Mono CD64 MFI revealed the highest AUC (0.929). Additionally, this combination had the highest specificity needed for minimizing false positives (better overall diagnostic performance).
Prior studies by Davis et al., Hsu et al., and Dal Ponte et al. have underscored the superior diagnostic performance of nCD64 over traditional markers like white blood cell count, erythrocyte sedimentation rate, and CRP [25-27]. Icardi et al. further highlighted the predictive value of nCD64 with a sensitivity of 94.6% and a specificity of 88.7% [28]. Lewis et al. and Zhou et al. emphasized the discriminatory power of CD64, particularly in distinguishing septic shock patients [29-30]. Additionally, the combination of nCD64 and CRP has been shown to enhance sepsis diagnosis [31]. Chauhan et al. advocated for flow cytometry analysis of nCD64, asserting its superiority in sepsis detection [32].
In a recent study by Verma et al., the mean fluorescence intensity (MFI) of neutrophil CD64 (nCD64) was markedly elevated in both sepsis and non-sepsis groups compared to controls, demonstrating the diagnostic potential of nCD64 [33].
In summary, the combined use of CRP, S. Lactate, Mono CD64%, and Mono CD64 MFI has a higher AUC and shows promising sensitivity, specificity, PPV, and NPV, making it a potentially effective diagnostic tool for sepsis.SO, healthcare professionals may improve their ability to identify sepsis at an early stage, facilitating prompt and targeted interventions for improved patient outcomes.
Furthermore, predictive models based on univariate and multivariate analyses highlighted key predictors for early sepsis detection in cirrhotic patients, emphasizing the significance of factors such as creatinine, urea, sodium, total bilirubin, PMN, lymphocytes, Mono CD64%, Mono CD64 MFI, CRP, S. Lactate
In addressing the limitations of this study, such as the sample size and potential confounding factors, we delve into recommendations for future research. It is suggested that future investigations should focus on a more in-depth exploration of specific immune markers and their dynamics in larger-size studies on patients with cirrhosis.
This study is a pioneer in presenting comprehensive findings on the correlation of immune-related markers with sepsis in a cirrhotic cohort, showcasing the potential of these markers as early indicators of early sepsis management in cirrhotic patients, emphasizing the broader relevance of the findings in critical care settings.
CONCLUSION
Conclusively, compared to traditional markers like CRP and S. Lactate, CD64 has comparable diagnostic value for distinguishing sepsis in cirrhotic patients with the advantageous timely character allowing prompt management for this high-risk critical cohort.
Acknowledgments
The authors would like to all colleagues at the National Liver Institute, Menoufia University
Abbreviations
MELD: Model for End-Stage Liver Disease, ICU: intensive care unit, CBC: Complete Blood Count, CRP: C reactive protein, PMN: polymorph nuclear leukocytes, TLC ascitic: total leukocytic count in ascitic, SI: Sepsis index, CXR: chest x-ray, IQR: inter quartile ratio, CAS: cholestasis associating sepsis.
Funding: None
Conflict of Interest: The authors declare no conflict of interest
Author Contributions:
Conceptualization, E.M., KH.F. and A.G.; methodology, A.F., KH.F.; formal analysis, A.M., and A.M.; data curation, A.F., A.M.; writing—original draft preparation, A.F.; writing—review and editing, E.M.; supervision, A.G., A.M.; funding acquisition, A.F. All authors have read and agreed to the published version of the manuscript.
Ethical approval: The Institutional Review Board at National Liver Institute, Menoufia University determined that our study was exempt from review.
Availability of data and materials:
Data available upon request.
References
Nagata I, Abe T, Ogura H, Kushimoto S, Fujishima S, Gando S; et al. Intensive care unit model and in-hospital mortality among patients with severe sepsis and septic shock: A secondary analysis of a multicenter prospective observational study. Medicine (Baltimore). 2021 May 28;100(21):e26132.
Rudd KE, Johnson SC, Agesa KM, Shackelford KA, Tsoi D, Kievlan DR, et al. Global, regional, and national sepsis incidence and mortality, 1990-2017: analysis for the Global Burden of Disease Study. Lancet. 2020 Jan 18;395(10219):200-211.
Lever, A., & Mackenzie, I. Sepsis: definition, epidemiology, and diagnosis. Bmj, 2007; 335[7625], 879-883.
Sinha M, Jupe J, Mack H, Coleman TP, Lawrence SM, Fraley SI. Emerging technologies for molecular diagnosis of sepsis. Clinical microbiology reviews, 2018; 31[2], e00089-17.
Yang, YY, and Hsu, YC: Effectiveness of sepsis bundle application and outcomes predictors to cirrhotic patients with septic shock. BMC Infect Dis 2021; 21, 483.
Okamoto N, Ohama H, Matsui M, Fukunishi S, Higuchi K, Asai A. Hepatic F4/80[+] CD11b[+] CD68[-] cells influence the antibacterial response in irradiated mice with sepsis by Enterococcus faecalis. J Leukoc Biol 2021; 109, 943-952.
Wu JF, Ma J, Chen J, Ou-Yang B, Chen MY, Li LF, et al. Changes of monocyte human leukocyte antigen-DR expression as a reliable predictor of mortality in severe sepsis. Crit Care. 2011;15(5):R220.
Schuppan D, Afdhal NH. Liver cirrhosis. Lancet. 2008 Mar 8;371(9615):838-51.
Singer M, Deutschman CS, Seymour CW, Shankar-Hari M, Annane D, Bauer M, et al. The third international consensus definitions for sepsis and septic shock [sepsis 3]. JAMA. 2016;315[8]:801–10.
Reyna MA, Josef CS, Jeter R, Shashikumar SP, Westover MB, Nemati S, et al. Early Prediction of Sepsis From Clinical Data: The PhysioNet/Computing in Cardiology Challenge 2019. Crit Care Med. 2020 Feb;48(2):210-217.
Yang M, Liu C, Wang X, Li Y, Gao H, Liu X, et al. An Explainable Artificial Intelligence Predictor for Early Detection of Sepsis. Crit Care Med. 2020 Nov;48(11):e1091-e1096.
Nguyen LC, Lo TT, La HD, Doan HT, Le NT. Clinical, Laboratory and Bacterial Profile of Spontaneous Bacterial Peritonitis in Vietnamese Patients with Liver Cirrhosis. Hepat Med. 2022 Jul 30;14:101-109.
Agnello L, Iacona A, Maestri S, Lo Sasso B, Giglio RV, Mancuso S, Ciaccio AM, Vidali M, Ciaccio M. Independent Validation of Sepsis Index for Sepsis Screening in the Emergency Department. Diagnostics (Basel). 2021 Jul 19;11(7):1292.
Kim WR, Biggins SW, Kremers WK, et al. Hyponatremia and Mortality among Patients on the Liver-Transplant Waiting List. N Engl J Med. 2008;359(10):1018-1026.
Johnson PJ, Berhane S, Kagebayashi C, et al. Assessment of Liver Function in Patients With Hepatocellular Carcinoma: A New Evidence-Based Approach—The ALBI Grade. J Clin Oncol. 2015;33(6):550-558.
Gao Y, Lin L, Zhao J, Peng X, Li L. Neutrophil CD64 index as a superior indicator for diagnosing, monitoring bacterial infection, and evaluating antibiotic therapy: a case control study. BMC Infect Dis. 2022 Nov 28;22(1):892.
Quadrini KJ, Patti Diaz L, Maghsoudlou J, Cuomo J, Hedrick MN, McCloskey TW. A flow cytometric assay for HLA-DR expression on monocytes validated as a biomarker for enrollment in sepsis clinical trials. Cytometry. 2021; 100: 103–114.
Fulton II MR, Zubair M, Taghavi S. Laboratory Evaluation of Sepsis. [Updated 2023 Aug 27]. In: StatPearls [Internet]. Treasure Island [FL]: StatPearls Publishing; Jan-. Available from: https://www.ncbi.nlm.nih.gov/books/NBK594258/
D'Abrantes R, Dunn L, McMillan T, Cornwell B, Bloom B, Harris T. Evaluation of the Prognostic Value of Lactate and Acid-Base Status in Patients Presenting to the Emergency Department. Cureus. 2021 Jun 23;13(6):e15857.
Li X, Yang Y, Zhang B, Lin X, Fu X, An Y, et al. Lactate metabolism in human health and disease. Signal Transduct Target Ther. 2022 Sep 1;7(1):305. Erratum in: Signal Transduct Target. Ther. 2022 Oct 31;7(1):372.
Philips CA, Ahamed R, Rajesh S, George T, Mohanan M, Augustine P. Update on diagnosis and management of sepsis in cirrhosis: Current advances. World J Hepatol. 2020 Aug 27;12(8):451-474.
Shah YR, Singh Dahiya D, Chitagi P, Rabinowitz LG. Hyperbilirubinemia in a Patient With Sepsis: A Diagnostic Challenge. ACG Case Rep J. 2023 Jun 10;10(6):e01076.
Atrash AK, de Vasconcellos K. Low albumin levels are associated with mortality in the critically ill: A retrospective observational study in a multidisciplinary intensive care unit. South Afr J Crit Care. 2020 Dec 1;36(2):10.
Yin M, Si L, Qin W, Li C, Zhang J, Yang H, et al. Predictive Value of Serum Albumin Level for the Prognosis of Severe Sepsis Without Exogenous Human Albumin Administration: A Prospective Cohort Study. J Intensive Care Med. 2018 Dec;33(12):687-694.
Davis BH, Olsen SH, Ahmad E, Bigelow NC. Neutrophil CD64 is an improved indicator of infection or sepsis in emergency department patients. Arch Pathol Lab Med. 2006 May;130(5):654-61.
Hsu, K., Chan, M.C., Wang, J., Lin, L., & Wu, C. (2011). Comparison of Fcγ receptor expression on neutrophils with procalcitonin for the diagnosis of sepsis in critically ill patients. Respirology, 16.
Dal Ponte ST, Alegretti AP, Pilger DA, Rezende GP, Andrioli G, Ludwig HC, et al. Diagnostic Accuracy of CD64 for Sepsis in Emergency Department. J Glob Infect Dis. 2018 Apr-Jun;10(2):42-46.
Icardi M, Erickson Y, Kilborn S, Stewart B, Grief B, Scharnweber G. CD64 index provides simple and predictive testing for detection and monitoring of sepsis and bacterial infection in hospital patients. Journal of Clinical Microbiology 2009, 47[12], 3914-3919.
Lewis, S. M., Treacher, D. F., Bergmeier, L., Brain S., Chambers D., Pearson J., et al. Plasma from patients with sepsis up-regulates the expression of CD49d and CD64 on blood neutrophils. American journal of respiratory cell and molecular biology 2009, 40[6], 724-732.
Zhou Y, Zhang Y, Johnson A, Venable A, Griswold J, Pappas D. Combined CD25, CD64, and CD69 biomarker panel for flow cytometry diagnosis of sepsis. Talanta 2019, 191, 216-221.
Dimoula A, Pradier O, Kassengera Z, Dalcomune D, Turkan H, Vincent JL. Serial determinations of neutrophil CD64 expression for the diagnosis and monitoring of sepsis in critically ill patients. Clinical infectious diseases 2014; 58[6], 820-829.
Chauhan, S., & Hansa, J. Early Diagnosis Of Sepsis Through Sepsis Markers And Sepsis Index Via Flow Cytometry Technology. Asian J Pharm Clin Res 2017, 10[11], 145-148.
Verma P, Singh A, Kushwaha R, Yadav G, Verma SP, Singh US, et al. Early and Effective Diagnosis of Sepsis Using Flow Cytometry. J Lab Physicians. 2022 Oct 20;15(2):230-236.