ASSESSMENT OF PLATELET COUNT AND DOPPLER ULTRASOUND ON HEPATIC AND SPLENIC VENOUSSYSTEM AS NON-INVASIVE PREDICTORS OF GASTRIC VARICES IN PATIENTS WITH LIVER CIRRHOSIS

Document Type : Original Article

Authors

1 Departments of Hepatogastroenterology& infectious diseases, Faculty of Medicine, Al-Azhar University, Cairo, Egypt

2 Department of Radio diagnosis*, Faculty of Medicine, Al-Azhar University, Cairo, Egypt

Abstract

Background: Gastric varices are probably associated with thrombocytopenia. However, the prevalence and severity of thrombocytopenia are unknown in this clinical setting.
Objective: To assess platelet count and doppler ultrasound on hepatic and splenic venous system as non-invasive predictors of gastric varices in patients with liver cirrhosis with no history of previous endoscopic or surgical intervention for portal hypertension.
Patients and Methods: An observational case control study was accomplished at Al-Azhar University Hospitals, Hepatogastroenterology and infectious diseases Departments, at Cairo from September 2018 to December 2019. One hundred and twenty patients with liver cirrhosis without past history of previous endoscopic or surgical intervention for portal hypertension were selected, and divided into three equal main groups:Group A: Cirrhotic patients without varices, Group B: Cirrhotic patients with esophageal varices only, and Group C: Cirrhotic patients with gastric varices, which divided into two subgroups: Group Ca:Six patients with isolated gastric varices and Group Cb:Thirty four patients with gastroesophageal varices. All patients were subjected to upper gastrointestinal endoscopy,complete    blood   picture (CBC) and abdominal Doppler ultrasonography study on hepatic and splenic venous systems.
Results: Group Cb recorded the highest values of splenic size (P<0.001), ascites (p=0.006), portal vein diameter (P<0.001) and collaterals (P<0.001) compared to other groups. Group Ca recorded the lowest values of the mean portal vein flow velocity (MPVV)(p < 0.001), the mean splenic vein flow velocity(M.SVV) (P=0.026), and recorded the highest values of portal vein congestion index (P.CI) (P<0.001), portal vein thrombosis (PVT)(P<0.001), the mean values of the splenic vein diameter (P<0.001), cross sectional area of splenic vein (p < 0.001), splenic vein congestion index(S.CI) (p < 0.001), as well as abnormal blood direction in splenic vein(P=0.019) compared to other groups. Also, portal vein cross sectional area and the Child-Turcotte-Pugh score class “C” showed statistically significant difference (p < 0.001) between group A which recorded the lowest value compared to group B which recorded the highest value. Also, platelet count recorded no statistically significant difference between the four groups.
Conclusion: Doppler ultrasound can be an easy, cheap and safe predictor of gastric varices, while platelet count has no any significance in predicting of gastric varices.

Keywords

Main Subjects


ASSESSMENT OF PLATELET COUNT AND DOPPLER ULTRASOUND ON HEPATIC AND SPLENIC VENOUSSYSTEM AS NON-INVASIVE PREDICTORS OF GASTRIC VARICES IN PATIENTS WITH LIVER CIRRHOSIS

By

Osama Sayed Ahmed Ahmed Ghalwash, Gamal Mohammad Mohammad Soliman, Galal Abd El-Hameed Abou-Farrag and Mohammad Abolnaga Mohammad*

Departments of Hepatogastroenterology& infectious diseases and Radio diagnosis*, Faculty of Medicine, Al-Azhar University, Cairo, Egypt

Corresponding author: Osama Sayed Ahmed Ahmed Ghalwash

E-mail: osamaghalwash26490@gmail.com

ABSTRACT

Background: Gastric varices are probably associated with thrombocytopenia. However, the prevalence and severity of thrombocytopenia are unknown in this clinical setting.

Objective: To assess platelet count and doppler ultrasound on hepatic and splenic venous system as non-invasive predictors of gastric varices in patients with liver cirrhosis with no history of previous endoscopic or surgical intervention for portal hypertension.

Patients and Methods: An observational case control study was accomplished at Al-Azhar University Hospitals, Hepatogastroenterology and infectious diseases Departments, at Cairo from September 2018 to December 2019. One hundred and twenty patients with liver cirrhosis without past history of previous endoscopic or surgical intervention for portal hypertension were selected, and divided into three equal main groups:Group A: Cirrhotic patients without varices, Group B: Cirrhotic patients with esophageal varices only, and Group C: Cirrhotic patients with gastric varices, which divided into two subgroups: Group Ca:Six patients with isolated gastric varices and Group Cb:Thirty four patients with gastroesophageal varices. All patients were subjected to upper gastrointestinal endoscopy,complete    blood   picture (CBC) and abdominal Doppler ultrasonography study on hepatic and splenic venous systems.

Results: Group Cb recorded the highest values of splenic size (P<0.001), ascites (p=0.006), portal vein diameter (P<0.001) and collaterals (P<0.001) compared to other groups. Group Ca recorded the lowest values of the mean portal vein flow velocity (MPVV)(p<0.001), the mean splenic vein flow velocity(M.SVV) (P=0.026), and recorded the highest values of portal vein congestion index (P.CI) (P<0.001), portal vein thrombosis (PVT)(P<0.001), the mean values of the splenic vein diameter (P<0.001), cross sectional area of splenic vein (p<0.001), splenic vein congestion index(S.CI) (p<0.001), as well as abnormal blood direction in splenic vein(P=0.019) compared to other groups. Also, portal vein cross sectional area and the Child-Turcotte-Pugh score class “C” showed statistically significant difference (p<0.001) between group A which recorded the lowest value compared to group B which recorded the highest value. Also, platelet count recorded no statistically significant difference between the four groups.

Conclusion: Doppler ultrasound can be an easy, cheap and safe predictor of gastric varices, while platelet count has no any significance in predicting of gastric varices.

Keywords: Cirrhosis, platelet count, Doppler ultrasound, hepatic venous, splenic venous, gastric varices.

 

INTRODUCTION

     Chronic liver diseases impose a major burden in health systems. Although of different etiologies, they share common end stage namely liver cirrhosis with portal hypertension (PHT) (Sauerbruch and Trebicka, 2014). The most common cause of PHT is cirrhosis while vascular resistance and blood flow are the two important factors in its development (Jesus, 2017).

     Portal hypertension (PHT) can cause a variety of pathologic changes along the entire gastrointestinal tract from the esophagus to the anus which manifest as varices, gastropathy, and enteropathy (Di Giorgio and D’Antiga, 2019).

     Gastric varices (GV) are less prevalent than esophageal varices (EV) occurring in approximately 20% of patients with PHT with a reported incidence of bleeding of 10-30% of all variceal hemorrhages with a higher bleeding incidence for fundal varices. They are developed due to spontaneous portosystemic collaterals commonly between the splenic and gastric veins. Thus, gastric varices are commonly classified based on their relationship with esophageal varices as well as their location in the stomach (Zeng et al., 2017).

     Patients with compensated cirrhosis and small varices with no high-risk stigmata may be considered for endoscopic variceal surveillance every 1–2 years to evaluate progression, in patients with advanced liver disease or medium or large varices, primary prophylaxis should be implemented (Garcia-Tsao et al., 2017).

     Various noninvasive hematological, biochemical and ultra-sonographic predictors have been suggested which include splenic size, portal vein diameter, serum albumin levels and platelet count; all of these parameters are non-invasive and easy to perform (DeFranchis and Faculty, 2015).

     Gastric varices primarily occur in cirrhotic patients with portal hypertension and splenomegaly and thus are probably associated with thrombocytopenia. However, the prevalence and severity of thrombocytopenia are unknown in this clinical setting (Wael et al., 2014).

     Doppler ultrasonography (US) imaging is considered the first-line imaging technique in patients with cirrhosis. Portal vein diameter, portal blood velocity and congestion index, spleenic size, flow pattern in the hepatic veins, and the presence of abdominal portosystemic collaterals are all US parameters previously thought to be associated with prognostic significance (Rye et al., 2012).

     This study aimed to assess platelet count and doppler ultrasound on hepatic and splenic venous system as non-invasive predictors of gastric varices in patients with liver cirrhosis with no history of previous endoscopic or surgical intervention for portal hypertension.

PATIENTS AND METHODS

     An observational case control study accomplished at Al-Azhar university hospitals, Hepatogastroenterology and infectious diseases departments at Cairo according to the ethical board of Al-Azhar University from September 2018 to December 2019 where 120 patients aged more than 18 years old with liver cirrhosis without past history of previous endoscopic or surgical intervention for portal hypertension were selected. Study information sheet was provided to patients and informed consents were written by patients who agreed to participate in this study.

     Patients were divided into three equal main groups: Group A: Forty cirrhotic patients without varices, Group B: Forty cirrhotic patients with esophageal varices only and Group C: Forty cirrhotic patients with gastric varices, which divided into two subgroups, Group Ca  with isolated gastric varices and Group Cb  with gastroesophageal varices.

     We excluded patients with previous endoscopic or surgical intervention for portal hypertension, patients with associated advanced co-morbidity (as advanced cardiac disease, renal disease, cancer liver ...etc) and patients refused to sign an informed consent.

     All participants were subjected to full history taking and clinical examination including manifestations of chronic liver disease (such as jaundice, flapping tremors, lower limb edema, organomegaly, ascites), routine laboratory investigations including complete blood picture (CBC), Liver profile (aminotransferases (ALT&AST), serum albumin, total& direct bilirubin, prothrombin time and INR) andrenal function tests (serum creatinine and blood urea),Child-Turcotte-Pugh score-classification, abdominal ultrasonography and doppler study with emphasis on: liver size (classified as shrunken 15 cm), criteria suggestive of chronic liver disease and cirrhosis, presence of periportal thickening, splenic bi-polar diameter (normal up to 12-13 cm), ascites (reported as mild, moderate or marked ascites if present), portal vein indices including: portal vein diameter (PVD) and patency or thrombosis (PVT), cross sectional area (A), mean portal vein flow velocity (MPVV),congestion index of the portal vein (P.CI = A (cm2) / mean PVV (cm/sec)) anddirection of flow (hepatopetal, bidirectional orhepatofugal), splenic vein indices including: splenic vein diameter (mm) and patency, cross sectional area (A), mean splenic vein flow velocity ( MSVV), congestion index of the splenic vein (S.CI = A (cm2) / mean SVV (cm/sec) and direction of flow (hepatopetal, bidirectional, hepatofugal), hepatic vein patency and dilation and presence of portosystemic collaterals, also upper gastrointestinal endoscopy was done to all participants to evaluate the presence of esophageal varices and its grade and the presence and type of gastric varices based upon Sarin classification.

Statistical analysis: Data were analyzed using Statistical Package for the Social Sciences (SPSS) version 21.Quantitative data were expressed as mean± standard deviation (SD), Also qualitative data were expressed as frequency and percentage.

The following tests were done:

•     Chi-Square test (χ2 value): It is used to compare between two groups or more regarding one qualitative variable.

•     Fisher's exact test: It is used to compare between two groups regarding one qualitative variable in a 2 x 2 contingency table when the expected count of any of the cells less than 5.

•     One-way ANOVA (F) test was used to compare more than two groups for continuous variables.

•    Pearson correlation.

•     Probability (P-value) P-value

•     Kruskal - Wallis test, Pairwise comparison between each to groups was done using Post Hoc test (Dunn, s for multiple comparison test).


 

RESULTS

 

 

        In this study, the age range of participants was from 18 to 72 years with a mean age ± SD of (53.63±9.05, 56.08±7.72, 54.79±10.71 and 54.79±10.71 year) for group A, group B, group Ca and group Cb respectively, showing no statistically significant difference between the four groups(p= 0.55).andthe number of males within group A, group B, group Ca and group Cb were (24 (60%), 32 (80%), 4 (66.67%), and 25 (73.53%)) respectively, showing no statistically significant difference between the four groups (p= 0.25) (Table 1).


 

Table (1):   Comparison between the studied groups regarding age and sex

Groups

Parameters

Group A
(n=40)

Group B
(n=40)

Group Ca
(n=6)

Group Cb
(n=34)

P

value

Age (years)

 

 

 

 

 

Mean ±SD

53.63±9.05

56.08±7.72

57.83±5.31

54.79±10.71

0.55

Range

30-71

38-72

51-65

18-68

 

No

%

No

%

No

%

No

%

 

Sex

 

 

 

 

 

 

 

 

0.25

Males

24

60.0

32

80.0

4

66.67

25

73.53

Females

16

40.0

8

20.0

2

33.33

9

26.47

Total

40

100.0

40

100.0

6

100.0

34

100.0

 

χ2: chi square, SD: standard deviation, Group A: cirrhotic patients without varices, Group B: cirrhotic patients with esophageal varices only, Group Ca: cirrhotic patients with isolated gastric varicesGroup Cb: cirrhotic patients with gastroesophageal varices.

 

 

     The mean values of white blood cell counts (WBCs) were 7170±2634,11.90±1.69, 10.39±2.12 and 10.99±1.98 in group A, group B, group Ca and group Cb respectively with statistically significant difference between the four groups (P> 0.001). The mean values of hemoglobin levels (HB) and Platelet counts in group A, group B, group Ca and group Cb showed no statistically significant difference between the four groups (Table 2).

 

 

 

 

 

 

 

 

 

Table (2):   Comparison between the studied groups regarding CBC results

Groups

 

Parameters

Group A
(n=40)

Group B
(n=40)

Group Ca
(n=6)

Group Cb
(n=34)

P-value

Hb(g/dL)

 

 

 

 

 

Mean ±SD

11.59±1.93

11.90±1.69

10.39±2.12

10.99±1.98

0.098

Range

7.90-15.48

8.00-15.50

8.30-14.30

7.90-15.70

WBCs (cells/mm3)

 

 

 

 

 

Mean ±SD

7170±264

4904±2063

7214±2286

5542±2889

> 0.001

Range

2890-12400

1800-10400

3900-10200

2100-13500

Significance between Groups

p1=0.001*, p2=0.883, p3=0.003*,
p4=0.036, p5=0.495, p6=0.087

 

Platelets (cells/mm3)

 

 

 

 

 

Mean ±SD

151525±50663

146200±55308

99517±94156

154382±87792

0.176

Range

67000-310000

59000-310000

102-279000

45000-527000

SD: standard deviation, WBCs: white blood cells.Hb: hemoglobin, p1: p value for comparing between Group A and Group B, p2: p value for comparing between Group A and Group CA, p3: p value for comparing between Group A and Group CB, p4: p value for comparing between Group B and Group CA, p5: p value for comparing between Group B and Group CB, p6: p value for comparing between Group CA and Group CB

 

 

     Concerning the Child-Turcotte-Pugh score classification of  group A, group B, group Ca and group Cb the number of child,s class “A” patients was 21 (52.50%), 5 (12.50%), 1 (16.67%) and 7 (20.59%) respectively. The number of child,s class “B” patients was 10 (25.5%), 9 (22.50%), 2 (33.33%) and 8 (23.53%) respectively, and for the number of child,s class “C” patients was 9 (22.50%), 26 (65.0%), 3 (50.0%) and 19 (55.88%) respectively, with statistically significant lower numbers of child,s class “C” patients (p<0.002) in the group A compared to other groups, and group B which showed the highest number (Table 3).

 

 

Table (3):   Comparison between Studied groups regarding Child-Turcotte-Pugh score classification

Groups

Child,s class

Group A
(n=40)

Group B
(n=40)

Group Ca
(n=6)

Group Cb
(n=34)

p-value

 

No.

%

No.

%

No.

%

No.

%

 

 

 

 

 

 

 

 

 

 

<0.002*

A

21

52.50

5

12.50

1

16.67

7

20.59

B

10

25.00

9

22.50

2

33.33

8

23.53

C

9

22.50

26

65.00

3

50.00

19

55.88

Total

40

100.00

40

100.00

6

100.0

34

100.00

 

Significance between groups.

p1<0.001*, p2=0.210, p3=0.006*,
p4=0.555, p5=0.606, p6=0.845

 

X2: chi square         NS: non-significant, *:  significant, p1: p value for comparing between Group A and Group B, p2: p value for comparing between Group A and Group CA, p3: p value for comparing between Group A and Group CB, p4: p value for comparing between Group B and Group CA, p5: p value for comparing between Group B and Group CB, p6: p value for comparing between Group CA and Group CB.

 

     Our study also revealed that regarding the mean values of the splenic size were 13.72±1.92, 17.08±2.50, 16.92±4.25 and 17.53±3.31 in group A, group B, group Ca and group Cb respectively, showing statistically significant difference of (P<0.001) in the group A which recorded the lowest value compared to group Cb which recorded the highest value. In the group A, ascites was mild in 11 patients (27.50%) and moderate in 6 patients (15.0%), while in the group B was mild in 21 patients (52.50%) and moderate in 13 patients (32.50%), while in the group Ca was mild in 1 patient (16.67%) and was moderate in 1 patient (16.67%), In the group Cb, it was mild in 9 patients (26.47%), moderate in 9 patients (26.47%) and marked in 2 patients (5.88%), showing statistically significant difference (p=0.002) in group Cb which recorded the highest value compared to other groups. Regarding liver size and periportal thickening, no statistically significant difference between the four groups (Table 4).

 

 

Table (4):   Comparison between Studied groups regarding trans-abdominal ultra-sonographic findings

Groups

Parameters

Group A
(n=40)

Group B
(n=40)

Group Ca
(n=6)

Group Cb
(n=34)

P-value

Splenic size(cm)

 

 

 

 

 

Mean ±SD

13.72±1.92

17.08±2.50

16.92±4.25

17.53±3.31

<0.001

Range

10.00-17.70

11.50-23.00

12.00-22.00

12.00-24.00

Significance between groups

p1<0.001*, p2=0.038*, p3<0.001*,
p4=0.999, p5=0.887, p6=0.955

 

 

No.

%

No.

%

No.

%

No.

%

 

Ascites

 

 

 

 

 

 

 

 

0.002

No

23

57.50

6

15.00

4

66.67

14

41.18

Mild

11

27.50

21

52.50

1

16.67

9

26.47

Moderate

6

15.00

13

32.50

1

16.67

9

26.47

Marked

0

0.00

0

0.00

0

0.00

2

5.88

Total

40

100.0

40

100.0

6

100.0

34

100.0

 

Significance between groups

p1<0.001* , p2=1.000,p3=0.235,
p4=0.031*, p5=0.014*,p6=0.725

 

Liver size

 

 

 

 

 

 

 

 

 

Average

30

75.00

24

60.00

3

50.00

20

58.82

0.321

Shrunken

6

15.00

14

35.00

3

50.00

12

35.29

Enlarged

4

10.00

2

5.00

0

0.00

2

5.88

Total

40

100.0

40

100.0

6

100.0

34

100.0

 

Periportal thickening:

 

 

 

 

 

 

 

 

 

No

34

85.00

33

82.50

4

66.67

27

79.41

0.721

Yes

6

15.00

7

17.50

2

33.33

7

20.59

Total

40

100.0

40

100.0

6

100.0

34

100.0

 

X2: chi square NS: non-significant, SD: standard deviation, p1: p value for comparing between Group A and Group B, p2: p value for comparing between Group A and Group CA, p3: p value for comparing between Group A and Group CB, p4: p value for comparing between Group B and Group CA, p5: p value for comparing between Group B and Group CB, p6: p value for comparing between Group CA and Group CB.

 

 

 

     The mean values of the splenic vein diameter (SVD) were 9.98±1.36, 10.58±1.71, 12.92±.88 and 11.94±2.01 in group A, group B, group Ca and groupCb respectively, showing statistically significant difference (p<0.001) between group A which recorded the lowest value compared to group Ca which recorded the highest value. Splenic vein cross sectional area was found to be 0.80±0.21, 0.90±0.29, 1.34±0.36 and 1.15±0.35 in group A, group B, group Ca and groupCb respectively, showing statistically significant difference (p<0.001) between group A which recorded the lowest value compared to group Ca which recorded the highest value.M. SVV was found to be 13.58 ±2.15, 12.94±1.70, 11.17±2.23 and 12.43±2.56 in group A, group B, group Ca and groupCb respectively, showing statistically significant difference (p=0.026) between group Ca which recorded the lowest value compared to group A which recorded the highest value. Splenic vein congestion index (S.CI) was found to be 0.06±0.02, 0.07±0.02, 0.12±0.02 and 0.09±0.02 in group A, group B, group Ca and groupCb respectively, showing statistically significant difference (p<0.001) between group A which recorded the lowest value compared to group Ca which recorded the highest value. The direction of flow in splenic vein was found to be normal in all patients in group A, and it was abnormal in 3 patients (7.5%) in group B, 2 patients (33.33%) in group Ca and 4 patients (11.76%) in group Cb, showing statistically significant difference (p=0.019) of abnormal blood direction between group A which recorded the lowest value compared to group Ca which recorded the highest value (Table 5).

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Table (5):   Comparison between Studied groups regarding trans-abdominal doppler ultra-sonographic findings of splenic vein (SV)

Groups

Parameters

Group A
(n=40)

Group B
(n=40)

Group Ca
(n=6)

Group Cb
(n=34)

P value

Splenic vein diameter (SVD)(mm)

Mean ±SD

9.98 ±1.36

10.58±1.71

12.92±.88

11.94±2.01

<0.001

Range

6.00-12.50

7.50-15.00

9.50-15.00

5.00-15.00

Significance between groups

p1=0.397, p2=0.001*, p3<0.001*,
p4=0.011*, p5=0.004*,p6=0.569

 

Splenic vein  cross sectional area (cm2)

Mean ±SD

0.80±0.21

0.90±0.29

1.34±0.36

1.15±0.35

<0.001

Range

0.28-1.23

0.44-1.77

0.71-1.77

0.20-1.77

Significance between groups

  p1=0.129, p2=0.001*,  p3<0.001*,
p4=0.009*, p5=0.001*, p6=0.384

 

Mean splenic vein flow velocity (M.SVV) (cm/sec)

Mean ±SD

13.58 ±2.15

12.94±1.70

11.17±2.23

12.43±2.56

0.026

Range

9.33-19.75

10.00-17.33

7.89-14.75

6.67-17.11

Significance between groups

p1=0.533, p2=0.045*,p3=0.101, p4=0.243,
p5=0.740, p6=0.551

 

Splenic vein congestion index (SCI) (cm/sec)

Mean ±SD

0.06±0.02

0.07±0.02

0.12±0.02

0.09±0.02

<0.001

Range

0.03-0.09

0.04-0.13

0.09-0.14

0.03-0.13

Significance between groups

p1=0.062, p2<0.001*, p3<0.001*, p4<0.001*,
p5<0.001*, p6=0.177

 

 

No.

%

No.

%

No.

%

No.

%

 

 

Direction of flow in SV

Abnormal

0

0.00

3

7.5

2

33.33

4

11.76

0.019

Normal

40

100.0

37

92.5

4

66.67

30

88.24

Total

40

100.0

40

100.0

6

100.0

34

100.0

Significance between groups

p1=0.241, p2=0.014*, p3=0.040* ,
p4=0.120, p5=0.696, p6=0.215

 

                     

X2: Chi squar, SV: splenic vein.

SD: standard deviation.

p1: p value for comparing between Group A and Group B.

p2: p value for comparing between Group A and Group CA.

p3: p value for comparing between Group A and Group CB.

p4: p value for comparing between Group B and Group CA.

p5: p value for comparing between Group B and Group CB.

p6: p value for comparing between Group CA and Group CB.

 

 

     Portal vein diameter (PVD) was found to be 13.32±1.06, 15.40±2.05, 14.50±3.35 and 15.32±1.81 in group A, group B, group Ca and group Cb respectively, showing statistically significant difference (p<0.001) between group A which recorded the lowest value compared to group Cb which recorded the highest value. Portal vein cross sectional area was found to be 1.40±0.21, 1.89±0.59, 1.73±0.74 and 1.87±0.45 in group A, group B, group Ca and group Cb respectively, showing statistically significant difference (p<0.001) between group A which recorded the lowest value compared to group B which recorded the highest value. M. PVV was found to be 11.50±1.79, 13.27±2.98, 8.14±0.80 and 9.27±2.07 in group A, group B, group Ca and group Cb respectively, showing statistically significant difference (p<0.001) between group Ca which recorded the lowest value compared to group B which recorded the highest value. Portal vein congestion index (P.CI) was found to be 0.12±0.03, 0.15±0.04, 0.22±0.10 and 0.21±0.05 in group A, group B, group Ca and group Cb respectively, showing statistically significant difference (p<0.001) between group A which recorded the lowest value compared to group Ca which recorded the highest value. Portal vein thrombosis (PVT) not present in group A and group B, while PVT was present in 3 patients (50.0%) and 7 patients (20.59%) in group Ca and group Cb respectively, showing statistically significant difference (p<0.001) between group Ca which recorded the highest value compared to other groups. Direction of blood flow in portal vein was found to be normal in 35 patients (87.50%) in group A, 34 (85.0%) patients in group B, 3 patients (50.0%) in group Ca, and 24 patients (70.59%) in group Cb, showing no statistically significant difference between the studied groups (Table 6).

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Table (6):   Comparison between Studied groups regarding trans-abdominal doppler ultra-sonographic findings of portal vein (PV)

Groups

Parameters

Group A (n=40)

Group B (n=40)

Group Ca

(n=6)

Group Cb (n=34)

P value

Portal vein diameter (PVD) (mm)

Mean ±SD

Range

13.32±1.06

10.00-14.50

15.40±2.0513.30-25.00

14.50±3.35

10.00-18.50

15.32±1.81

12.50-20.00

<0.001

Significance between groups

p1<0.001*, p2=0.438,  p3<0.001*,
p4=0.664,  p5=0.998,  p6=0.727

 

Portal vein cross sectional area (cm2)

-                      Mean ±SD

-                      Range

 

1.40±0.21

0.79-1.65

 

1.89±0.59

1.39-4.91

 

1.73±0.74

0.79-2.69

 

1.87±0.45

1.23-3.14

<0.001

Significance between groups

p1<0.001*, p2=0.028*,  p3<0.001*,
p4=0.554,  p5=0.862,  p6=0.621

 

Mean portal vein flow velocity (M.PVV) (cm/sec)

-                      Mean ±SD

-                      Range

11.50±1.79

9.42-16.63

13.27±2.98

9.06-19.70

8.14±0.80

7.18-9.00

9.27±2.07

6.33-13.67

<0.001

Significance between groups

p1=0.004*, p2=0.006*, p3<0.001*,
 p4<0.001*, p5<0.001*,  p6=0.687

 

Portal vein congestion index (P.CI) (cm/sec)

Mean ±SD

Range

 

0.12±0.03

0.07-0.16

 

0.15±0.04

0.08-0.27

 

0.22±0.10

0.11-0.34

 

0.21±0.05

0.09-0.31

<0.001

Significance between groups

p1=0.020*, p2<0.005*,p3<0.001*,
 p4=0.099*, p5<0.001*, p6=0.422

 

 

No.

%

No.

%

No.

%

No.

%

P value

Portal vein thrombosis (PVT)

No 

Yes

Total 

40

0

40

100.0 0.00

100.0

40

 0

40

100.0 0.00

100.0

3

3

6

50.00 50.00

100.0

27

7

34

79.41 20.59

100.0

<0.001

Significance between groups

p1, FEp2=0.001*, FEp3=0.003*,
FEp4=0.001*, FEp5=0.003*, FEp6=0.153

Direction of flow in PV

-                      Abnormal 

-                      Normal

-                      Total 

5

35

40

12.50

87.50

100.0

6

34

40

15.00

85.00

100.0

3

3

6

50.00

50.00

100.0

10

24

34

29.41

70.59

100.0

0.063

 

X2: Chi square.    PV: portal vein.    SD: standard deviation.

p1: p value for comparing between Group A and Group B.

p2: p value for comparing between Group A and Group CA.

p3: p value for comparing between Group A and Group CB.

p4: p value for comparing between Group B and Group CA.

p5: p value for comparing between Group B and Group CB.

p6: p value for comparing between Group CA and Group CB.

 

 

 

 

 

     Regarding collaterals, it was found to be present in only 5 patients (12.50%) in group A, 9 patients (22.50%) in group B, 5 patients (83.33%) in group Ca and 29 patients (85.3%) in group Cb, showing statistically significant difference (P<0.001) between group A which recorded the lowest value compared to group Cb which recorded the highest value. Hepatic vein (HV) was found to be attenuated in 9 patients (22.50%) in group A, 16 patients (40%) in group B, 3 patients (50.0%) in group Ca and 16 patients (47.06%) in group Cb, showing no statistically significant difference of attenuated hepatic vein (p<0.103) between the studied groups (Table 7).

 

 

Table (7):   Comparison between Studied groups regarding hepatic vein (HV) and collaterals

Groups

Parameters

Group A
(n=40)

Group B
(n=40)

Group Ca
(n=6)

Group Cb
(n=34)

P value

 

No.

%

No.

%

No.

%

No.

%

 

Hepatic vein (HV)

 

 

 

 

 

 

 

 

0.128

Normal

31

77.50

24

60.00

3

50.00

18

52.94

Attenuate

9

22.50

16

40.00

3

3

16

47.06

Total

40

100.00

40

100.00

6

100.00

34

100.00

 

Collaterals

 

 

 

 

 

 

 

 

 

No

35

87.5

31

77.50

1

16.67

5

14.7

<0.001

Yes

5

12.50

9

22.50

5

83.33

29

85.3

Total

40

100.00

40

100.00

6

100.00

34

100.00

 

Significance between groups

p1=0.239, p2=0.001*, p3<0.001*,
p4=0.007*, p5<0.001*, p6=1.000*,

 

χ2:Chi square.

p1: p value for comparing between Group A and Group B.

p2: p value for comparing between Group A and Group CA.

p3: p value for comparing between Group A and Group CB.

p4: p value for comparing between Group B and Group CA.

p5: p value for comparing between Group B and Group CB.

p6: p value for comparing between Group CA and Group CB.

 

 

DISCUSSION

     In our study, there were no statistically significant differences between the studied groups regarding hemoglobin level, platelet count and INR. These results came in agreement with Sharma et al. (2017) that found that there was no significant difference between esophageal and gastric varices regarding platelets. Also, agreed with the study conducted by Rezayat et al. (2014) who evaluated changes of doppler indices in gastric varices patients with and without gastroesophageal varices.On the other hands, Ali et al. (2015) found that there was a significant decrease in the mean values of platelet count/ spleen diameter ratio in cirrhotic patients with gastric varices in comparison to other patients without gastric varices.

     Our study showed statistically significant difference of the mean values of the splenic size in group Cb which recorded the highest value compared to group A which recorded the lowest value. This agreed with the study of Ozdil et al. (2016). On the other hand, Mahassadi et al. (2012) found a lower diagnostic accuracy of splenic size (in Ivorian cirrhotic patients) suggesting that splenomegaly in the African context might not be useful as predictor of gastroesophageal varices.

     Ascites in our study showed statistically significant difference where it was marked in group Cb which recorded the highest value compared to other groups. This finding was in concordance with the results of Ramzy et al. (2015) and Al-Azhary et al. (2018) who found that ascites in the group I (patients with gastroesophageal varices) was more than group II (patients without gastric varices).

     In the current study, splenic vein diameter, splenic vein cross sectional area, and splenic congestion index significantly increased among group Ca and group Cbthan group A and group B, and this came in concordance with the study of Esmat et al. (2012) who found a statistically significant correlation between the presence and grade of gastroesophageal varices with the splenic diameter, and also was in concordance with results of Rezayat et al. (2014) who found that in half of patients with portal hypertension the splenic vein diameter increases to more than 10 mm. The mean diameter of splenic vein in patients without GVs was 9.4 and was 10.8 in those with GVs, but the difference was not significant.

     In our study, portal vein diameter (PVD) significantly increased among group Cb, portal vein congestion index was significantly increased in group Ca. The mean portal vein flow velocity (M.PVV) significantly decreased among group Ca and the cross sectional area of portal vein was significantly increased among group B, This results agreed with the study done by Mostafa et al. (2013) who found that the ultra- sonographic parameters showed a significant increase in the splenic diameter and PVD between control group and studied subgroups.On the other hand, the study conducted by Rezayat et al. (2014) reported nosignificant difference between those patients with and without gastroesophageal varices for portal vein diameter. In the study of Chouhan et al. (2015), it was found that there no statistically significant differences in portal vein velocity, congestion index and liver vascular index among the three studied groups.

     Regarding portal vein thrombosis (PVT), our study revealed that group Ca showed statistically significant difference compared to other groups, and this came in concordance with Sharma et al. (2017) who reported that, with portal vein occlusion, both esophageal and gastric varices may develop in the absence of cirrhosis and in this setting varices were most commonly isolated gastric varices rather than gastroesophageal.

     Regarding direction of flow in portal vein, our study showed no statistically significant difference between the four groups. This agreed with the study conducted by Rezayat et al. (2014).

     Heikal (2020) demonstrated that, cirrhosis is combined with increased intrahepatic resistance which increases pressure in the portal vein (PV) which enhances the opening up of various collateral pathways. These hemodynamic events are responsible for the progressive fall in the portal venous blood flow velocity with increasing severity of the portal hypertension.

     In our study, presence of collaterals showed statistically significant difference between group Cb which recorded the highest value compared to group A which recorded the lowest value. This agreed with El-Assaly et al. (2020) who reported that, the commonest type of collaterals draining into superior vena cava is the peri-gastric type, and detected esophageal and paraesophageal collaterals in70% of cases and peri-gastric in 76.7% of cases.

CONCLUSION

     Doppler ultrasound can be an easy, cheap and safe alternative, while platelet count has no any significance in predicting of gastric varices.

REFERENCES

  1. Al-Azhary S, Zaky S, Hussein A andAbd El Fadeel M. (2018): Doppler study of splenic artery and renal artery resistive index as a predictive of esophageal varices and its bleeding risk in Egyptian cirrhotic patients, Al-Azhar Medical Journal, 47(3):587-602.
  2. Ali AA, Badawy AM, Sonbol AA andAyad ME. (2015): Study of the relationship between blood ammonia level and esophageal varices in patients with liver cirrhosis. Afro-Egyptian Journal of Infectious and Endemic Diseases, 5(2):78-85.
  3. Chouhan A, Trikha S, Dhawle S, Nagwanshi J and Chandra S. (2015): A study of correlation of esophageal varices in cirrhotic patients with portal haemodynamics with special reference to portal vein diameter, portal vein velocity, congestion index, liver vascular index. Journal of Evolution of Medical and Dental Sciences,4(1):59-67.
  4. DeFranchis R and Faculty BV. (2015): Expanding consensus in portal hypertension: Report of the Baveno VI Consensus Workshop: Stratifying risk and individualizing care for portal hypertension. J Hepatol., 63(3): 743-752.
  5. Di Giorgio A and D’Antiga L. (2019): Portal hypertension. InPediatric Hepatology and Liver Transplantation. Springer, Cham., 25(4): 299-327.
  6. El-Assaly H, Metwally LI, Azzam H and Seif-Elnasr MI. (2020): A comparative study of multi-detector CT portography versus endoscopy in evaluation of gastro-esophageal varices in portal hypertension patients. Egyptian Journal of Radiology and Nuclear Medicine. 51(1):5-6.
  7. Esmat S., Omarn D and Rashid L. (2012): Can we consider the right hepatic lobe size/albumin ratio a noninvasive predictor of oesophageal varices in hepatitis C virus-related liver cirrhotic Egyptian patients. Eur. J. Intern. Med., 23 (3): 67-72.
  8. Garcia-Tsao G, Abraldes JG, Berzigotti A and Bosch J. (2017): Portal hypertensive bleeding in cirrhosis: risk stratification, diagnosis, and management: 2016 practice guidance by the American Association for the study of liver diseases. JHepatology,65(1):310-335.
  9. Heikal I. (2020): Association between Portal Vein Colored Doppler Ultrasound Findings and Severity of Liver Disease in Cirrhotic Patients with Portal Hypertension. Al-Azhar International Medical Journal, 1(1):232-237.
  10. Jesus C.(2017): Portal haemodynamics in cirrhotic patients attending to Arkansas Valley Regional Medical Center. Liver International, 2(3):105-110.
  11. Mahassadi A.K., Bathaix F.Y. and Assi C. (2012): Clinical Study: Usefulness of Noninvasive Predictors of Oesophageal Varices in Black African Cirrhotic Patientsin Cˆote d’Ivoire (West Africa). Gastroenterology Research and Practice, 19(2):10-11.
  12. Mostafa HM, Eid KA, Meguid MM and Mohamed SA. (2013): Comparative Study between Right Liver Lobe Diameter/Albumin Ratio and Platelet Count/Spleen Diameter Ratio as a Non-Invasive Predictor of Oesophageal Varices in Patients with Liver Cirrhosis. ResearchGate,81(1):875-885.
  13. Ozdil K, Ozturk O, Çalık ES, Akbas ES, Kanat E and Calıskan Z. (2016): Relationship between size of varices and platelet count/spleen size ratio in cirrhotic patients. Northern clinics of Istanbul, 3(1):46-47.
  14. Ramzy I, Abdel Hafez H, Madani H and Sanad N. (2015): Predictive value of non-invasive blood ammonia level for the presence of oesophageal varices in Egyptian patients with liver cirrhosis. Journal of GHR, 4(5): 1613-1617.
  15. Rezayat KA, Ghanaei FM, Alizadeh A, Shafaghi A andJandaghi AB. (2014): Doppler surrogate endoscopy for screening esophageal varices in patients with cirrhosis. Hepatitis monthly, 14(1):1-5.
  16. Rye K., Scott R., Gerri M., Lawson A., Austin A.,and Freeman J. (2012): Towards Noninvasive Detection of Oesophageal Varices, International Journal of Hepatology, 7(3):112 -113.
  17. Sauerbruch T. and Trebicka J. (2014): Future therapy of portal hypertension in liver cirrhosis a guess. Gastroenterology Research and Practice, 12(7):6-9.
  18. Sharma BC, Varakanahalli S, Singh JP and Srivastava S. (2017): Gastric varices in cirrhosis vs. extrahepatic portal venous obstruction and response to endoscopic N-butyl-2-cyanoacrylate injection. Journal of Clinical and Experimental Hepatology, 7(2):97-101.
  19. Wael EA, Saad W, Bleibel1 N, Adenaw CE, Wagner C, Anderson JF, Angle AM, Al-Osaimi3 MG, Davies S and Caldwell (2014): Thrombocytopenia in Patients with Gastric Varices and the Effect of Balloon-occluded Retrograde Transvenous Obliteration on the Platelet Count. Journal of Clinical Imaging Science, 4(1):24-29.
  20. Zeng XQ, Ma LL, Tseng YJ, Chen J, Cui CX and Luo TC. (2017): Endoscopic cyanoacrylate injection with or without lauromacrogol for gastric varices: a randomized pilot study. Journal of Gastroenterology and Hepatology, 32(3):631-638.‏

 

تقییم عدد الصفائح الدموية والأشعة التلفزيونیة بالدوبلر على أوردة الکبد والطحال للتنبوء بوجود دوالي المعدة فى مرضى التلیف الکبدي

أسامة سيد احمد أحمد غلوش، جمال محمد محمد سليمان، جلال عبدالحميد أبوفراج، محمد أبوالنجا محمد*

قسمي الکبد والجهاز الهضمي والأمراض المعدية والأشعة التشخيصية*، کلية الطب، جامعة الأزهر بالقاهرة

البريد الاليکتروني: osamaghalwash26490@gmail.com

خلفية البحث: تعد دوالى المعدة والمرئ من المضاعفات الرئيسية لتلیف الکبد، وقد تؤدى إلى مضاعفات خطيرة تهدد الحیاة، لذا یعتبرالتنبوء بوجودها أمرا ھاما، وحيث ان المنظار العلوي للمعدة والمرئ هو وسيلة تداخلية مکلفة وتحمل العديد من المخاطر مثل العدوى والنزف والثقب، لذا وجب البحث عن وسائل غير تداخلية للتنبوء بوجود دوالي المعدة.

الهدف من البحث: تقییم عدد الصفائح الدموية والموجات فوق الصوتية بالدوبلر على أوردة الکبد والطحال کمتنبئات غیر تداخلية بوجود دوالي المعدة في المرضى المصريين الذین یعانون من التلیف الکبدي مع عدم وجود تاریخ سابق من التدخل بالمنظار أو الجراحة لعلاج إرتفاع ضغط الدم في الوريد البابي.

المرضى وطريقة البحث: أجريت هذه الدراسة في مستشفیات جامعة الأزھر بأقسام الکبد والجهاز الهضمي والأمراض المعدية بالقاھرة في الفترة من سبتمبر 2018 حتى دیسمبر 2019حیث تمت الدراسة علي120 مریضاً یعانون من التلیف الکبدي دون وجود تاریخ سابق من التدخل بالمنظار أو الجراحة لعلاج إرتفاع ضغط الدم فى الوريد البابي وتم تقسیم المرضى إلى ثلاث مجموعات على النحو التالي:المجموعة )أ A): شملت أربعین مریضا بالتلیف الکبدي دون دوالي,والمجموعة)ب B): شملت أربعین مریضا بالتلیف الکبدي مع دوالي المريء فقط(OVs) ، والمجموعة(ج C): شملت أربعین مریضا بالتلیف الکبدي مع دوالي المعدة مقسمة إلى مجموعتین فرعیتین هماالمجموعة Ca :شملت ستة مرضىبالتليف الکبدي مع دوالي المعدة فقط،والمجموعة:Cb شملت أربعة وثلاثون مريضابالتليف الکبدي مع دوالي المعده والمرئ معا.

نتائج البحث: سجلت المجموعة A أدنى قيمة لحجم الطحال مقارنة بالمجموعةCb التي سجلت أعلى قيمة (P <0.001)، کما سجلت أدنى قيمة لمساحة المقطع العرضي للوريد البابي (p<0.001) مقارنة بالمجموعة B التي سجلت أعلى قيمة، کما سجلت المجموعةCb أعلى قيمة لحجم الطحال(P <0.001)، والاستسقاء (P = 0.006)، وقطر الوريد البابي (p<0.001)، ووجود الضمانات أو الاوردة الجانبية (p<0.001) مقارنة بالمجموعات الأخرى في حين أن حجم الکبد وسمک المحيط للثلاثي البابي داخل الکبد وعدد الصفائح الدموية لا يظهر أي فرق يعتد به إحصائياً بين المجموعات الأربع.(P> 0.05) کما سجلت المجموعة Ca أدنى قيمة لسرعة تدفق الدم بالوريد البابي (MPVV) مقارنة بالمجموعة B التي سجلت أعلى قيمة لها وکذلک أدنى قيمة لسرعة تدفق الدم بالوريد الطحالي (M.SVV) (P=0.026)م قارنة بالمجموعة A اللتي سجلت أعلى قيمة, کما ان المجموعة Ca سجلت أعلى قيمة لمؤشر احتقان الوريد البابي(P<0.001) (P.CI)  ووجود جلطة بالوريد البابي (P<0.001) (PVT) وقطر الوريد الطحالي  (SVD)(P<0.001)ومساحة المقطع العرضي للوريد الطحالي  (P<0.001)ومعامل احتقان الوريد الطحالي (S.CI)(P<0.001) والاتجاه غير الطبيعي لتدفق الدم بالوريد الطحالي (P=0.019) مقارنة بالمجموعات الأخرى.

الإستنتاج: الدوبلر بالموجات فوق الصوتية يمکن أن يکون بديلاً سهلًا ورخيصًا وآمنًا للتنبوء بوجود دوالي المعدة، کما وجد أن عدد الصفائح الدموية ليس له أي أهمية في التنبوء بدوالي المعدة.

الکلمات الدالة: التليف الکبدي، الصفائح الدموية، الموجات فوق الصوتية، الدوبلر، الوريد الکبدي، الوريدالطحالي، دوالي المعدة.

  1. REFERENCES

    1. Al-Azhary S, Zaky S, Hussein A andAbd El Fadeel M. (2018): Doppler study of splenic artery and renal artery resistive index as a predictive of esophageal varices and its bleeding risk in Egyptian cirrhotic patients, Al-Azhar Medical Journal, 47(3):587-602.
    2. Ali AA, Badawy AM, Sonbol AA andAyad ME. (2015): Study of the relationship between blood ammonia level and esophageal varices in patients with liver cirrhosis. Afro-Egyptian Journal of Infectious and Endemic Diseases, 5(2):78-85.
    3. Chouhan A, Trikha S, Dhawle S, Nagwanshi J and Chandra S. (2015): A study of correlation of esophageal varices in cirrhotic patients with portal haemodynamics with special reference to portal vein diameter, portal vein velocity, congestion index, liver vascular index. Journal of Evolution of Medical and Dental Sciences,4(1):59-67.
    4. DeFranchis R and Faculty BV. (2015): Expanding consensus in portal hypertension: Report of the Baveno VI Consensus Workshop: Stratifying risk and individualizing care for portal hypertension. J Hepatol., 63(3): 743-752.
    5. Di Giorgio A and D’Antiga L. (2019): Portal hypertension. InPediatric Hepatology and Liver Transplantation. Springer, Cham., 25(4): 299-327.
    6. El-Assaly H, Metwally LI, Azzam H and Seif-Elnasr MI. (2020): A comparative study of multi-detector CT portography versus endoscopy in evaluation of gastro-esophageal varices in portal hypertension patients. Egyptian Journal of Radiology and Nuclear Medicine. 51(1):5-6.
    7. Esmat S., Omarn D and Rashid L. (2012): Can we consider the right hepatic lobe size/albumin ratio a noninvasive predictor of oesophageal varices in hepatitis C virus-related liver cirrhotic Egyptian patients. Eur. J. Intern. Med., 23 (3): 67-72.
    8. Garcia-Tsao G, Abraldes JG, Berzigotti A and Bosch J. (2017): Portal hypertensive bleeding in cirrhosis: risk stratification, diagnosis, and management: 2016 practice guidance by the American Association for the study of liver diseases. JHepatology,65(1):310-335.
    9. Heikal I. (2020): Association between Portal Vein Colored Doppler Ultrasound Findings and Severity of Liver Disease in Cirrhotic Patients with Portal Hypertension. Al-Azhar International Medical Journal, 1(1):232-237.
    10. Jesus C.(2017): Portal haemodynamics in cirrhotic patients attending to Arkansas Valley Regional Medical Center. Liver International, 2(3):105-110.
    11. Mahassadi A.K., Bathaix F.Y. and Assi C. (2012): Clinical Study: Usefulness of Noninvasive Predictors of Oesophageal Varices in Black African Cirrhotic Patientsin Cˆote d’Ivoire (West Africa). Gastroenterology Research and Practice, 19(2):10-11.
    12. Mostafa HM, Eid KA, Meguid MM and Mohamed SA. (2013): Comparative Study between Right Liver Lobe Diameter/Albumin Ratio and Platelet Count/Spleen Diameter Ratio as a Non-Invasive Predictor of Oesophageal Varices in Patients with Liver Cirrhosis. ResearchGate,81(1):875-885.
    13. Ozdil K, Ozturk O, Çalık ES, Akbas ES, Kanat E and Calıskan Z. (2016): Relationship between size of varices and platelet count/spleen size ratio in cirrhotic patients. Northern clinics of Istanbul, 3(1):46-47.
    14. Ramzy I, Abdel Hafez H, Madani H and Sanad N. (2015): Predictive value of non-invasive blood ammonia level for the presence of oesophageal varices in Egyptian patients with liver cirrhosis. Journal of GHR, 4(5): 1613-1617.
    15. Rezayat KA, Ghanaei FM, Alizadeh A, Shafaghi A andJandaghi AB. (2014): Doppler surrogate endoscopy for screening esophageal varices in patients with cirrhosis. Hepatitis monthly, 14(1):1-5.
    16. Rye K., Scott R., Gerri M., Lawson A., Austin A.,and Freeman J. (2012): Towards Noninvasive Detection of Oesophageal Varices, International Journal of Hepatology, 7(3):112 -113.
    17. Sauerbruch T. and Trebicka J. (2014): Future therapy of portal hypertension in liver cirrhosis a guess. Gastroenterology Research and Practice, 12(7):6-9.
    18. Sharma BC, Varakanahalli S, Singh JP and Srivastava S. (2017): Gastric varices in cirrhosis vs. extrahepatic portal venous obstruction and response to endoscopic N-butyl-2-cyanoacrylate injection. Journal of Clinical and Experimental Hepatology, 7(2):97-101.
    19. Wael EA, Saad W, Bleibel1 N, Adenaw CE, Wagner C, Anderson JF, Angle AM, Al-Osaimi3 MG, Davies S and Caldwell (2014): Thrombocytopenia in Patients with Gastric Varices and the Effect of Balloon-occluded Retrograde Transvenous Obliteration on the Platelet Count. Journal of Clinical Imaging Science, 4(1):24-29.
    20. Zeng XQ, Ma LL, Tseng YJ, Chen J, Cui CX and Luo TC. (2017): Endoscopic cyanoacrylate injection with or without lauromacrogol for gastric varices: a randomized pilot study. Journal of Gastroenterology and Hepatology, 32(3):631-638.‏