UNASSIGNED: The presence and extent of severity of esophageal varices (EV) in patients with liver cirrhosis (LC) are predicted using noninvasive clinical, biochemical, and imaging parameters. The aim of this study was to investigate the accuracy of noninvasive predictors of EV, such as the platelet count-to-spleen diameter ratio (PSR), platelet count-to-spleen volume ratio (PSVR), spleen size (SZ), and a combination of these markers in determining the severity of EV in patients with cirrhosis.
UNASSIGNED: We recruited 82 inpatients with LC from the Department of Gastroenterology at the First Affiliated Hospital of Guangxi Medical University between January 2018 and December 2019 for this diagnostic investigation. All patients underwent endoscopy, ultrasound, computed tomography, and routine laboratory investigations. For the study, we evaluated and compared the diagnostic accuracy of PSR, PSVR, SZ, and their combinations.
UNASSIGNED: There were significant differences in the area under the receiver operating characteristic (ROC) curve (AUC) in the prediction of severe and moderate/severe EV for all the variables. PSR+PSVR had the highest AUC at 0.735 (95% CI: 0.626-0.826) and 0.765 (95% CI: 0.659-0.852) for predicting severe and moderate/severe EV, respectively. There were statistically significant differences in the AUCs (95% CI) for PSR, PSVR, and PSR+PSVR in predicting the existence of EV. As per the overall model quality chart, the combination of PSR+PSVR was the best indicator for detecting the presence of EV (AUC, 0.696; 95% CI: 0.584-0.792).
UNASSIGNED: In our study, we found that these noninvasive parameters could predict the extent of severity of EV in patients with LC. We anticipate the use of a combination of PSR + PSVR to emerge as the superior indicator as studies progress.

Purpose: It has previously been reported that repeated exposure to hypoxia increases spleen size and haemoglobin (HGB) level and recent reports on the effect apnoea has on spleen size and haematological parameters are contradictory. Therefore, this study aims to evaluate the effect apnoea training has on spleen size and haematological parameters. Methods: The breath-holding (BH) group was comprised of 12 local student-athletes with no BH exercise experience who performed BH jogging and BH jumping rope dynamic apnoea protocols, five times weekly for 8 weeks. The BH event duration was progressively increased as the apnoea tolerance of the athletes improved (20 to 35 s). The same training task was performed by the control group (n = 10) without BH. Spleen sizes were measured with an ultrasound system and a complete blood cell analysis was performed on the median cubital venous blood. Results: Spleen volume in the BH group increased from 109 ± 13 ml to 136 ± 13 ml (p < 0.001), and bulky platelets decreased from 70.50 ± 5.83 to 65.17 ± 5.87 (p = 0.034), but no changes were recorded for erythrocytes (p = 0.914), HGB (p = 0.637), PLTs (p = 0.346) and WBC (p = 0.532). No changes were recorded for the control group regarding spleen size or haematological parameters. Conclusion: Eight weeks of dry dynamic apnoea training increased spleen size and decreased the number of circulating bulky platelets in the athletes who were assessed in this study. However, the baseline RBC counts and HGB levels of the athletes were not altered by the training programme.

OBJECTIVE: To investigate whether and how spleen size measured on magnetic resonance imaging (MRI) could be used to stage liver fibrosis.
METHODS: Sixteen minipigs were used to prospectively model liver fibrosis staged by biopsy. Abdominal gadolinium-enhanced MRI was performed on the 0, 5th, 9th, 16th, and 21st weekend after beginning of the modeling. Splenic maximal width (W), thickness (T), length (L), and area (S) together with spleen volume (SV) and liver volume (LV) were measured on enhanced MRI and the ratio of SV to LV (SV/LV) was calculated. Spleen multidimensional indexes 1 and 2 were obtained by W × T × L and S × L, respectively. Statistical analyses were performed to determine which parameter could best stage the fibrosis.
RESULTS: W, T, L, S, SV, index 1 and 2, and SV/LV tended to increase with increasing stages of fibrosis (r = 0.46-0.796, all P < 0.001), and might predict liver fibrosis stage ≥1, ≥2, ≥3, and 4 (area under receiver operating characteristic curve [AUC] = 0.697-1.0, all P < 0.05). Among the parameters, splenic index 1, SV, and SV/LV might be best for predicting stage ≥1 (AUC = 0.941), ≥2 or ≥3 (AUC = 0.875 or 0.978, respectively), and 4 (AUC = 1.0), respectively.
CONCLUSIONS: Spleen size measured on MRI could be used for staging liver fibrosis.