Literature DB >> 30631756

Effect of Admission Time on the Outcomes of Liver Cirrhosis with Acute Upper Gastrointestinal Bleeding: Regular Hours versus Off-Hours Admission.

Yingying Li1,2, Bing Han1,2, Hongyu Li1, Tingxue Song1,3, Wenchun Bao1,3, Ran Wang1, Zhaohui Bai1,4, Kexin Zheng1,2, Qianqian Li1,5, Xiaozhong Guo1, Xingshun Qi1.   

Abstract

Background and Aims: Acute upper gastrointestinal bleeding (AUGIB) is a lethal complication of liver cirrhosis. We aimed to compare the outcomes of patients with liver cirrhosis and AUGIB who were admitted to hospital on regular hours and off-hours.
Methods: This retrospective study screened all cirrhotic patients with AUGIB who were admitted to our hospital from January 2010 to June 2014 for the test cohort and from December 2014 to March 2018 for the validation cohort. A 1:1 propensity score matching analysis was performed to adjust the Child-Pugh and MELD scores. In-hospital mortality, 5-day rebleeding rate, length of stay, and total payment were primary outcomes.
Results: Overall, 826 and 173 patients with liver cirrhosis and AUGIB were included in the test and validation cohorts, respectively. After propensity score matching, 226 and 40 patients were included in the test and validation cohorts, respectively. The overall analysis of the test cohort found significantly higher Child-Pugh score (P=0.006), 5-day rebleeding rate (18.69% versus 10.72%, P=0.001), and total payment (¥25,906.83 versus ¥22,017.42, P<0.001) in patients admitted on off-hours. By contrast, the overall analysis of the validation cohort did not find any difference in Child-Pugh score, 5-day rebleeding, in-hospital mortality, length of stay, or hospital payment between patients admitted on regular hours and off-hours. Similarly, the propensity score matching analyses of both test and validation cohorts found no difference in these primary outcomes between the two groups. Conclusions: Off-hours admission might not be negatively associated with the outcomes of patients with liver cirrhosis and AUGIB.

Entities:  

Mesh:

Year:  2018        PMID: 30631756      PMCID: PMC6304553          DOI: 10.1155/2018/3541365

Source DB:  PubMed          Journal:  Can J Gastroenterol Hepatol        ISSN: 2291-2789


1. Introduction

Liver cirrhosis is the 13th major cause of death worldwide. Acute upper gastrointestinal bleeding (AUGIB) is a frequent medical emergency with a high incidence of 45-172/100,000 each year in the general population and is a lethal complication of liver cirrhosis leading to an in-hospital mortality of 10% [1, 2]. Due to the acute performance of AUGIB itself, early diagnosis and timely management are needed. Notably, there are general shortage of staff, a potentially lower professional level of staff, and delayed use of endoscopy during weekends and holidays, which may lead to worse outcomes [3, 4]. Previous studies evaluated the effect of admission time on the outcomes of patients with AUGIB, but their findings were inconsistent. Some authors supported the “weekend effect” that patients admitted during weekends had worse outcomes [5-9], such as higher mortality and rebleeding rate, longer length of stay, and increased cost. On the contrary, others suggested no significant difference in the mortality between patients admitted during weekends and weekdays [10-15]. A meta-analysis [16] reported that off-hours admission was significantly associated with an increased mortality and less timely endoscopy in patients with nonvariceal bleeding but not those with variceal bleeding. More recently, another meta-analysis [17] also had similar results. However, there were some limitations in previous studies. First, meta-analyses have shown that geographical variation leads to different weekend effect on outcomes [16, 17]. A study, which included 571 patients suspected with upper gastrointestinal bleeding (UGIB) from 8 participating hospitals in the Netherlands [11], reported that patients admitted on weekends had higher mortality and rebleeding rate than those admitted on weekdays. By contrast, two prospective studies [14, 15] conducted in the United Kingdom found no significant difference in mortality of patients with UGIB between weekend and weekday admission groups. A retrospective study conducted in Korea [12], which included 294 cirrhotic patients with acute variceal bleeding, found no significant difference in the in-hospital mortality between weekend and weekday admission groups. Notably, all studies included in the two meta-analyses were not conducted in China mainland. Considering a geographical difference in the staff schedule and management and outcome of AUGIB, further studies should be performed in China mainland. Second, meta-analyses have also shown that a variation in the source of bleeding leads to different weekend effect on outcomes. All of 4 studies conducted in the United States were based on Nationwide Inpatient Sample, but showed different results [5, 6, 8, 13]. The first study demonstrated that patients with UGIB regardless of source of bleeding admitted on weekends had significantly higher mortality and longer length of stay than those admitted on weekdays [5]. The second study also demonstrated that patients with peptic ulcer hemorrhage admitted on weekends had higher mortality and longer length of stay [6]. The third study further confirmed that patients with nonvariceal UGIB admitted on weekends had higher mortality [8]. However, the fourth study found that the mortality in patients with acute variceal bleeding was similar between weekend and weekday admission groups [13]. Third, previous studies usually compared the effect of weekends versus weekdays on the mortality of AUGIB. But the nighttime during weekdays was often ignored from the definition of off-hours. Thus, further studies should refine the interval of off-hours. Herein, we performed a retrospective study to compare the outcomes of patients with liver cirrhosis and AUGIB who were admitted to a large tertiary hospital of Northeastern China on regular hours versus off-hours.

2. Methods

2.1. Study Design

We reviewed the medical records of cirrhotic patients who were consecutively admitted to the General Hospital of Shenyang Military Area from January 2010 to June 2014 as the test cohort. All patients with a diagnosis of liver cirrhosis and AUGIB were eligible. Additionally, we are prospectively collecting all cirrhotic patients who were admitted to our department and underwent contrast-enhanced CT scans and endoscopy since December 2014. Thus, based on the data during the patients' enrollment and follow-up, a validation cohort of cirrhotic patients with AUGIB between December 2014 and March 2018 was established for the present study. Age and sex were not limited. The source of bleeding was not limited. Patients with liver and other malignancies were excluded. Patients with incomplete case information and unavailable electronic medical records were also excluded. Data from repeated admission was not deliberately excluded. The outcomes we observed included 5-day rebleeding rate, in-hospital mortality, length of hospital stay, and total payment during hospitalizations. This study was approved by the Medical Ethical Committee of our hospital and the ethical approval number was k (2017)42. The patient's informed consent was not required in the retrospective study.

2.2. Data Collection

The primary data collected were age, sex, admission time, etiology of liver disease, and laboratory tests (i.e., red blood cell, hemoglobin, white blood cell, platelet count, total bilirubin, direct bilirubin, indirect bilirubin, albumin, alanine aminotransferase, aspartate aminotransferase, alkaline phosphatase, gamma-glutamyl transpeptidase, blood urea nitrogen, creatinine, potassium, sodium, prothrombin time, activated partial thromboplastin time, and international normalized ratio [INR]). The severity of esophageal varices was also collected. Treatment options of AUGIB were collected as follows: endoscopic therapy (i.e., band ligation, sclerotherapy, and histoacryl), Sengstaken Blackmore tube, somatostatin and/or octreotide, blood transfusion, proton pump inhibitors (PPIs), and surgery.

2.3. Definitions and Formulas

AUGIB was defined as hematemesis and/or melena within 5 days before our admission or positive occult blood test at the day of admission [18]. Regular hours referred to the interval from 8:00 AM to 17:00 PM at the weekdays (i.e., from Monday to Friday). Otherwise, off-hours were considered, and weekends and public holidays were also considered as off-hours. Child-Pugh score [19] was calculated according to hepatic encephalopathy, ascites, total bilirubin, albumin, and INR. Model for end-stage liver disease (MELD) score=9.57 ×  ln⁡  (creatinine  [μmol/L] × 0.01)  + 3.78 ×  ln⁡(bilirubin  [μmol/L] × 0.05) + 11.2 ×  ln ⁡(INR)  + 0.643 [20]. According to the study by Reverter et al. [21], recalibrated MELD score=-5.312+0.207×MELD. Albumin-bilirubin (ALBI) score=-0.085 × albumin (g/L) + 0.66 ×  log10⁡bilirubin  (μmol/L) [22, 23].

2.4. Statistical Analyses

Continuous variables were reported as median (range) and were compared using the nonparametric Mann-Whitney U test. Categorical variables were reported as frequency (percentage) and were compared using the chi-square test. Subgroup analyses were also conducted based on the presence of varices on endoscopy (AUGIB with endoscopically confirmed varices and without varices on endoscopy). A 1:1 propensity score matching analysis was performed to adjust the effect of gender, age, Child-Pugh score, MELD score, and recalibrated MELD score on the outcomes. A two-tailed P<0.05 was considered statistically significant. All statistical analyses were performed with IBM SPSS 20.0 (IBM Corp.) statistical package and Stata/SE 12.0 (Stata Corp, College Station, TX) software.

3. Results

3.1. Test Cohort

3.1.1. Patients' Characteristics

Between January 2010 and June 2014, a total of 826 patients with liver cirrhosis and AUGIB were included. Baseline patient characteristics are described in Table 1. Median age was 55.27 years (range: 6.28 to 95.13). Among them, 564 (68.3%) patients were male. Major etiology of liver diseases included hepatitis B virus infection (n=208, 25.2%) and alcohol abuse (n=219, 26.5%). A majority of patients had Child-Pugh class B (339/776, 51.4%). Median MELD score at admission was 6.37 (-7.52 to 38.22). Five hundred and twenty-two patients underwent endoscopy. No, mild, moderate, and severe esophageal varices were observed in 32 (6.1%), 24 (4.6%), 54 (10.3%), and 412 (78.9%) patients, respectively. As for the treatment of AUGIB, 508 (61.5%) patients underwent endoscopic therapy, 20 (2.4%) patients underwent Sengstaken Blackmore tube placement, 750 (90.8%) patients received somatostatin and/or octreotide, 544 (65.9%) patients received blood transfusion, 813 (98.4%) patients received PPIs, and 8 (1.0%) patients underwent surgery. Information regarding 5-day rebleeding was unavailable in 4 patients, because some of their medical records were missing. Five-day rebleeding rate was 14.0% (115/822). In-hospital mortality was 5.7% (47/826). Median length of hospital stay was 11.23 days (range: 0.06 to 100.55). Total payment was ¥23,120.87 (range: 1,287.54 to 226,872.93).
Table 1

Characteristics of patients with liver cirrhosis and AUGIB in test cohort.

Variables No. Pts Overall No. Pts Regular hours No. Pts Off-hours P value
Age (years)82655.27 (6.28-95.13)48654.54 (20.88-95.13)34055.95 (6.28-84.56)0.074
Sex (male)826564 (68.3%)486337 (69.3%)340227 (66.8%)0.434
Etiology of Liver Diseases8264863400.387
 HBV208 (25.2%)126 (25.9%)82 (24.1%)
 HCV51 (6.2%)32 (6.6%)19 (5.6%)
 HBV + HCV6 (0.7%)2 (0.4%)4 (1.2%)
 Alcohol Abuse219 (26.5%)125 (25.7%)94 (27.7%)
 HBV + Alcohol Abuse64 (7.7%)42 (8.6%)22 (6.5%)
 HCV + Alcohol Abuse13 (1.6%)7 (1.4%)6 (1.8%)
 HBV + HCV + Alcohol Abuse2 (0.2%)1 (0.2%)1 (0.3%)
 Drug Related35 (4.2%)23 (4.7%)12 (3.5%)
 Autoimmune Liver Diseases56 (6.8%)26 (5.4%)30 (8.8%)
 Other or Unclear Etiology172 (20.8%)102 (21%)70 (20.6%)
Laboratory Tests
 Red Blood Cell (1012/L)8222.56 (0.93-5.49)4822.61 (0.93-5.49)3402.49 (1.05-5.10)0.250
 Hemoglobin (g/L)82272.00 (23.00-180.00)48273.00 (23.00-164.00)34071.00 (23.00-180.00)0.512
 White Blood Cell (109/L)8224.70 (0.40-46.10)4824.20 (0.80-33.50)3405.30 (0.90-46.10)<0.001
 Platelet Count (109/L)82275.00 (9.00-842.00)48274.00 (9.00-842.00)34077.50 (17.00-775.00)0.429
 Total Bilirubin (umol/L)82020.30 (3.30-679.10)48020.10 (4.10-679.10)34020.50 (3.30-250.80)0.598
 Direct Bilirubin (umol/L)8208.30 (0.50-413.80)4808.20 (1.30-413.80)3408.50 (0.50-195.20)0.916
 Indirect Bilirubin (umol/L)82011.75 (1.30-265.30)48011.50 (1.30-265.30)34012.05 (2.00-126.60)0.436
 Albumin (g/L)79630.40 (9.60-49.30)46931.00 (9.60-49.30)32729.30 (10.00-48.00)<0.001
 Alanine Aminotransferase (U/L)81823.00 (5.00-1064.00)47923.00 (5.00-730.00)33924.00 (5.00-1064.00)0.403
 Aspartate Aminotransferase (U/L)81831.00 (7.00-1487.00)47931.00 (7.00-1399.00)33932.00 (8.00-1487.00)0.255
 Alkaline Phosphatase (U/L)81873.00 (1.30-889.00)47974.00 (17.44-889.00)33972.00 (1.30-688.00)0.535
 Gamma-glutamyl Transpeptidase (U/L)81835.00 (5.00-1168.00)47935.00 (5.00-1168.00)33937.00 (6.00-755.00)0.945
 Blood Urea Nitrogen (mmol/L)7927.71 (1.58-42.83)4657.06 (1.58-42.83)3278.21 (1.96-37.67)<0.001
 Serum Creatinine (umol/L)79161.00 (20.00-919.00)46560.00 (20.00-919.00)32661.00 (24.00-327.00)0.284
 Potassium (mmol/L)8104.06 (2.13-7.87)4734.00 (2.13-7.07)3374.12 (2.79-7.78)<0.001
 Sodium (mmol/L)810138.80 (83.00-160.80)473139.10 (83.00-160.80)337138.50 (116.40-152.40)0.055
 PT (seconds)79416.20 (10.80-62.80)46515.90 (10.80-62.80)32916.50 (11.00-49.50)0.034
 APTT (seconds)79140.30 (25.70-180.00)46340.50 (25.7-180.00)32839.95 (27.30-97.20)0.452
 INR7911.31 (0.77-7.96)4631.28 (0.77-7.96)3281.35 (0.79-5.94)0.040
Child-Pugh Score7767.00 (5.00-15.00)4557.00 (5.00-15.00)3217.00 (5.00-15.00)0.006
Child-Pugh A/B/C776234 (30.2%)/339  (51.4%)/143 (18.4%)455160 (35.2%)/216  (47.5%)/79 (17.3%)32174 (23.1%)/183  (57.0%)/64 (19.9%)0.001
MELD Score7726.37 (-7.52-38.22)4535.87 (-7.52-38.22)3197.06 (-7.44-37.65)0.067
Recalibrated MELD Score772-4.00 (-6.87-2.60)453-4.10 (-6.87-2.60)319-3.85 (-6.85-2.48)0.067
ALBI Score793-1.70 (-3.31-0.22)467-1.77 (-3.31-0.03)326-1.59 (-3.13-0.22)<0.001
Esophageal Varices (No/Mild/Moderate/Severe)52232 (6.1%)/24 (4.6%)/  54 (10.3%)/412 (78.9%)30920 (6.5%)/17 (5.5%)/  32(10.4%)/240 (77.6%)21312 (5.6%)/7 (3.3%)/  22 (10.3%)/172 (80.8%)0.650
Treatment
 Endoscopic Treatment826508 (61.5%)486310 (63.8%)340198 (58.2%)0.107
 Sengstaken Blakemore82620 (2.4%)48612 (2.5%)3408 (2.4%)0.915
 Somatostatin and/or Octreotide826750 (90.8%)486435 (80.5%)340315 (92.7%)0.124
 Blood Transfusion826544 (65.9%)486295 (60.7%)340249 (73.3%)<0.001
 PPIs826813 (98.4%)486477 (98.2%)340336 (98.8%)0.443
 Surgery8268 (1.0%)4862 (0.4%)3406 (1.8%)0.051
5-day Re-bleeding After Treatment822115 (14.0%)48552 (10.7%)33763 (18.7%)0.001
Death During Hospitalization82647 (5.7%)48625 (5.1%)34022(6.5%)0.418
Length of Stay (days)82611.23 (0.06-100.55)48611.27 (0.06-78.00)34011.13 (0.09-100.55)0.830
Total Payment (¥)82623,120.87 (1,287.54-226,872.93)48622,017.42 (1,683.37-126,413.58)34025,906.83 (1,287.54-226,872.93)<0.001

Data are expressed as median (range) or frequency (percentage).

Abbreviations. AUGIB: acute upper gastrointestinal bleeding; HBV: Hepatitis B virus; HCV: Hepatitis C virus; PT: prothrombin time; APTT: activated partial thromboplastin time; INR: international normalized ratio; MELD: model for end-stage liver disease; ALBI: albumin-bilirubin; PPIs: proton pump inhibitors; ¥: Renminbi.

3.1.2. Outcome

Patients admitted on off-hours had lower serum albumin (P<0.001) and higher white blood cell (P<0.001), blood urea nitrogen (P<0.001), potassium (P<0.001), prothrombin time (P=0.034), INR (P=0.040), Child-Pugh score (P=0.006), and ALBI score (P<0.001) than those admitted on regular hours (Table 1). As for the interventions, patients admitted on off-hours had a higher proportion of blood transfusion than those admitted on regular hours (73.3% versus 60.7%, P<0.001). Among the different departments of our hospital, there was no significant difference in the selection of most treatment options for AUGIB between patients admitted on regular hours and off-hours (Supplementary Table 1). As for the outcomes, patients admitted on off-hours had a higher 5-day rebleeding rate (18.7% versus 10.7%, P=0.001) and a larger amount of payment (¥25,906.83 versus ¥22,017.42, P<0.001). In-hospital mortality was not significantly different between the two groups (P=0.418). Length of stay was not significantly different between the two groups (P=0.830).

3.1.3. Subgroup Analyses

The origin of bleeding could be evaluated in 611 patients in the test cohort. They included 591 patients with endoscopically confirmed esophageal and/or gastric varices and 20 patients without varices at endoscopy (Supplementary Table 2). Among the patients with endoscopically confirmed varices, patients admitted on off-hours were older (P=0.015) and had lower red blood cell (P=0.026) and serum albumin (P<0.001) and higher white blood cell (P<0.001), blood urea nitrogen (P<0.001), potassium (P=0.001), prothrombin time (P=0.027), INR (P=0.04), Child-Pugh score (P<0.001), MELD score (P=0.023), recalibrated MELD score (P=0.023), and ALBI score (P<0.001) than those admitted on regular hours. As for the interventions, patients admitted on off-hours had a higher proportion of blood transfusion (75.5% versus 59.5%, P<0.001) and surgery (2.1% versus 0.3%, P=0.027) than those admitted on regular hours. As for the outcomes, patients admitted on off-hours had a higher 5-day rebleeding rate (16.5% versus 10.6%, P=0.038) and a larger amount of payment (¥29,361.51 versus ¥23,864.24, P<0.001). In-hospital mortality and length of stay were not significantly different between the two groups (P=0.094 and P=0.856, respectively). Among the patients without varices at endoscopy, no significant difference in demographics, etiology of liver disease, laboratory tests, Child-Pugh score, MELD score, recalibrated MELD score, ALBI score, and treatment options was observed between patients admitted on regular hours and off-hours (P>0.05, in all comparisons). As for the outcomes, none died. Five-day rebleeding rate, length of stay, and total payment were not significantly different between the two groups (P=0.117, P=0.869, and P=0.187, respectively).

3.1.4. Patients' Characteristics after Propensity Score Matching

After a 1:1 propensity score matching analysis, a total of 226 patients with liver cirrhosis and AUGIB were included. Baseline patient characteristics are described in Table 2. Median age was 54.51 years (range: 6.28 to 81.62). Among them, 144 (63.7%) patients were male. Major etiology of liver diseases included hepatitis B virus infection (n=58, 25.7%) and alcohol abuse (n=50, 22. 1%). A majority of patients had Child-Pugh class B (n=121, 53.5%). Median MELD score at admission was 6.12 (-7.14 to 21.56). No, mild, moderate, and severe esophageal varices were observed in 11 (4.9%), 19 (4.4%), 23 (10.2%), and 182 (80.5%) patients, respectively. As for the treatment of AUGIB, 191 (84.5%) patients underwent endoscopic therapy, 8 (3.5%) patients underwent Sengstaken Blackmore tube placement, 218 (96.5%) patients received somatostatin and/or octreotide, 159 (70.4%) patients received blood transfusion, all patients received PPIs, and 1 (0.4%) patient underwent surgery. Five-day rebleeding rate was 14.2% (n=32). In-hospital mortality was 2.2% (n=5). Median length of hospital stay was 12.835 days (range: 2.76 to 78.00). Median total payment was ¥28,633.075 (range: 2,776.55 to 143,048.30).
Table 2

Characteristics of patients with liver cirrhosis and AUGIB after propensity matching in test cohort.

Variables Propensity matching patients P value
Overall (n=226) Regular hours (n=113) Off-hours (n=113)
Age (years)54.51 (6.28-81.62)54.41 (29.85-81.62)54.60 (6.28-78.66)0.829
Sex (male)144 (63.7%)73 (64.6%)71 (62.8%)0.782
Etiology of Liver Diseases0.612
 HBV58 (25.7%)29 (25.7%)29 (25.7%)
 HCV14 (6.2%)7 (6.2%)7 (6.2%)
 HBV+ HCV1 (0.4%)1 (0.9%)0 (0%)
 Alcohol Abuse50 (22.1%)26 (23.0%)24 (21.2%)
 HBV+ Alcohol Abuse26 (11.5%)15 (13.3%)11 (9.7%)
 HCV+ Alcohol Abuse3 (1.3%)0 (0%)3 (2.7%)
 HBV+ HCV+ Alcohol Abuse1 (0.4%)0 (0%)1 (0.9%)
 Drug Related10 (4.4%)5 (4.4%)5 (4.4%)
 Autoimmune Liver Diseases12 (5.3%)5 (4.4%)7 (6.2%)
 Other or Unclear Etiology51 (22.6%)25 (22.1%)26 (23.0%)
Laboratory Tests
 Red Blood Cell (1012/L)2.54 (0.98-5.49)2.60 (0.98-5.49)2.53 (1.15-4.68)0.989
 Hemoglobin (g/L)71.50 (23.00-157.00)72.00 (23.00-157.00)71.00 (23.00-133.00)0.901
 White Blood Cell (109/L)4.30 (1.00-26.30)4.10 (1.10-26.30)4.40 (1.00-17.50)0.239
 Platelet Count (109/L)74.00 (17.00-435.00)72.00 (27.00-303.00)79.00 (17.00-435.00)0.538
 Total Bilirubin (umol/L)18.80 (3.30-187.40)19.00 (6.10-90.40)18.40 (3.30-187.40)0.669
 Direct Bilirubin (umol/L)7.50 (0.50-151.60)7.50 (1.30-56.30)7.20 (0.50-151.60)0.384
 Indirect Bilirubin (umol/L)11.35 (2.40-56.80)11.20 (3.20-41.10)11.40 (2.40-56.80)0.771
 Albumin (g/L)30.10 (10.00-49.30)30.48 (10.50-49.30)29.40 (10.00-45.60)0.580
 Alanine Aminotransferase (U/L)23.00 (5.00-234.00)23.00 (6.00-234.00)23.00 (5.00-154.00)0.896
 Aspartate Aminotransferase (U/L)31.00 (9.00-263.00)31.00 (12.00-263.00)31.00 (9.00-175.00)0.872
 Alkaline Phosphatase (U/L)74.00 (17.44-707.00)77.00 (17.44-707.00)71.00 (21.00-685.00)0.282
 Gamma-glutamyl Transpeptidase (U/L)36.00 (8.00-1168.00)45.00 (8.00-1168.00)33.00 (9.00-737.00)0.354
 Blood Urea Nitrogen (mmol/L)7.62 (1.96-34.00)7.66 (2.04-34.00)7.61 (1.96-28.10)0.989
 Serum Creatinine (umol/L)60.00 (28.00-234.00)60.00 (28.00-225.70)59.00 (30.50-234.00)0.655
 Potassium (mmol/L)4.06 (2.90-5.50)4.05 (3.00-5.50)4.08 (2.90-5.50)0.285
 Sodium (mmol/L)138.50 (128.00-150.00)138.30 (130.40-148.00)138.50 (128.00-150.00)0.773
 PT (seconds)15.80 (11.00-46.30)15.60 (12.10-36.10)16.00 (11.00-46.30)0.912
 APTT (seconds)39.55 (27.30-66.80)40.10 (28.20-66.80)38.50 (27.30-63.90)0.253
 INR1.28 (0.79-4.77)1.26 (0.90-3.57)1.29 (0.79-4.77)0.950
Child-Pugh Score7.00 (5.00-13.00)7.00 (5.00-12.00)7.00 (5.00-13.00)0.891
Child-Pugh A/B/C72 (31.9%)/121 (53.5%)/33 (14.6%)35 (31.0%)/64 (56.6%)/14 (12.4%)37 (32.7%)/57 (50.5%)/19 (16.8%)0.544
MELD Score6.12 (-7.14-21.56)6.12 (-5.03-20.16)5.68 (-7.14-21.56)0.733
Recalibrated MELD Score-4.05 (-6.79 - -0.85)-4.04 (-6.35 - -1.14)-4.14 (-6.79 - -0.85)0.733
ALBI Score-1.70 (-3.23-0.22)-1.70 (-3.23 - -0.43)-1.69 (-3.06-0.22)0.767
Esophageal Varices  (No/Mild/Moderate/Severe)11 (4.9%)/10 (4.4%)/23  (10.2%)/182 (80.5%)5 (4.4%)/5 (4.4%)/11  (9.8%)/92 (81.4%)6 (5.3%)/5 (4.4%)/12  (10.6%)/90 (79.7%)0.984
Treatment
 Endoscopic Treatment191 (84.5%)96 (85.0%)95 (84.1%)0.854
 Sengstaken Blakemore8 (3.5%)5 (4.4%)3 (2.7%)0.472
 Somatostatin and/or Octreotide218 (96.5%)107 (94.7%)111 (98.2%)0.150
 Blood Transfusion159 (70.4%)80 (70.8%)79 (69.9%)0.884
 PPIs226 (100%)113 (100%)113 (100%)NA
 Surgery1 (0.4%)1 (0.9%)0 (0%)0.316
5-day Re-bleeding After Treatment32 (14.2%)14 (12.4%)18 (15.9%)0.445
Death During Hospitalization5 (2.2%)2 (1.8%)3 (2.7%)0.651
Length of Stay (days)12.835 (2.76-78.00)12.97 (3.91-78.00)12.41 (2.76-45.26)0.229
Total Payment (¥)28,633.075 (2,776.55-143,048.30)26,733.81 (2,776.55-115,201.67)29,361.51 (5,856.09-143,048.30)0.390

Data are expressed as median (range) or frequency (percentage).

Abbreviations. AUGIB: acute upper gastrointestinal bleeding; HBV: Hepatitis B virus; HCV: Hepatitis C virus; PT, prothrombin time; APTT: activated partial thromboplastin time; INR: international normalized ratio; MELD: model for end-stage liver disease; ALBI: albumin-bilirubin; PPIs: Proton pump inhibitors; ¥, Renminbi.

3.1.5. Outcomes after Propensity Score Matching

After a 1:1 propensity score matching analysis, 113 patients were matched on each group (Table 2). No significant difference in demographics, etiology of liver disease, laboratory tests, Child-Pugh score, MELD score, recalibrated MELD score, ALBI score, and treatment options was observed between the two groups (P>0.05, in all comparisons). As for the outcomes, 5-day rebleeding rate, in-hospital mortality, length of stay, and total payment were not significantly different between the two groups (P=0.445, P=0.651, P=0.229, and P=0.390, respectively).

3.1.6. Subgroup Analyses after Propensity Score Matching

After a 1:1 propensity score matching analysis, 140 patients with endoscopically confirmed varices were matched on each group (Supplementary Table 3). Patients admitted on off-hours had higher white blood cell (P=0.007), blood urea nitrogen (P=0.01), and potassium (P=0.001) than those admitted on regular hours. As for the interventions, patients admitted on off-hours had a higher proportion of blood transfusion (77.1% versus 58.6%, P=0.001) and surgery (2.9% versus 0%, P=0.044) than those admitted on regular hours. As for the outcomes, 5-day rebleeding rate, in-hospital mortality, length of stay, and total payment were not significantly different between the two groups (P=0.306, P=0.409, P=0.421, and P=0.058, respectively).

3.2. Validation Cohort

3.2.1. Patients' Characteristics

Between December 2014 and March 2018, a total of 173 patients with liver cirrhosis and AUGIB were included. Baseline patient characteristics are described in Table 3. Median age was 56.60 years (range: 20.57 to 88.73). Among them, 121 (69.9%) patients were male. Major etiology of liver diseases included hepatitis B virus infection (n=47, 27.2%) and alcohol abuse (n=55, 31.8%). A majority of patients had Child-Pugh class B (94/169, 55.6%). Median MELD score at admission was 7.22 (-3.16 to 23.19). One hundred and fifty-one patients underwent endoscopy. No, mild, moderate, and severe esophageal varices were observed in 9 (6.0%), 23 (15.2%), 26 (17.2%), and 93 (61.6%) patients, respectively. The origin of bleeding could be evaluated in 162 patients, of whom only 4 did not have esophageal and/or gastric varices. As for the treatment of AUGIB, 139 (80.3%) patients underwent endoscopic therapy, 1 (0.6%) patients underwent Sengstaken Blackmore tube placement, 160 (92.5%) patients received somatostatin and/or octreotide, 88 (50.9%) patients received blood transfusion, 173 (100%) patients received PPIs, and 0 (0%) patients underwent surgery. Information regarding 5-day rebleeding was unavailable in one patient. Five-day rebleeding rate was 7.6% (13/172). In-hospital mortality was 2.3% (4/173). Median length of hospital stay was 10.10 days (range: 0.12 to 32.94). Total payment was ¥24,328.31 (range: 3,427.24 to 98,215.78).
Table 3

Characteristics of patients with liver cirrhosis and AUGIB in validation cohort.

Variables No. Pts Overall No. Pts Regular hours No. Pts Off-hours P value
Age (years)17356.60 (20.57-88.73)13156.60 (20.57-75.73)4256.56 (33.42-88.73)0.683
Sex (male)173121 (69.9%)13191 (69.5%)4230 (71.4%)0.809
Etiology of Liver Diseases173131420.830
 HBV47 (27.2%)37 (28.2%)10 (23.8%)
 HCV17 (9.8%)12 (9.2%)5 (11.9%)
 Alcohol Abuse55 (31.8%)41 (31.3%)14 (33.3%)
 HBV + Alcohol Abuse3 (1.7%)2 (1.5%)1 (2.4%)
 HBV + HCV + Alcohol Abuse1 (0.6%)1 (0.8%)0 (0%)
 Drug Related1 (0.6%)1 (0.8%)0 (0%)
 Autoimmune Liver Diseases3 (1.7%)3 (2.3%)0 (0%)
 Other or Unclear Etiology46 (26.6%)34 (25.9%)12 (28.6%)
Laboratory Tests
 Red Blood Cell (1012/L)1732.70 (1.32-5.11)1312.70 (1.32-5.11)422.62 (1.56-4.14)0.372
 Hemoglobin (g/L)17373.00 (31.00-156.00)13173.00 (31.00-156.00)4273.50 (38.00-130.00)0.575
 White Blood Cell (109/L)1734.20 (1.00-23.10)1314.10 (1.00-23.10)424.35 (1.70-14.90)0.368
 Platelet Count (109/L)17371.00 (18.00-457.00)13173.00 (18.00-377.00)4268.50 (23.00-457.00)0.980
 Total Bilirubin (umol/L)17220.80 (5.20-210.00)13121.60 (5.20-210.00)4118.30 (6.70-106.10)0.587
 Direct Bilirubin (umol/L)1728.70 (2.00-146.90)1319.00 (2.00-146.90)418.30 (2.50-60.10)0.643
 Indirect Bilirubin (umol/L)17210.65 (2.60-79.90)13111.40 (2.60-69.20)419.80 (4.20-79.90)0.801
 Albumin (g/L)17129.40 (17.00-50.70)13029.65 (17.20-50.70)4129.40 (17.00-41.00)0.693
 Alanine Aminotransferase (U/L)17220.70 (5.00-275.36)13120.98 (6.00-140.00)4117.17 (5.00-275.36)0.504
 Aspartate Aminotransferase (U/L)17227.00 (9.63-310.39)13127.50 (9.63-278.00)4126.11 (10.00-310.39)0.801
 Alkaline Phosphatase (U/L)17278.23 (24.02-378.66)13175.66 (24.02-378.66)4179.75 (46.24-197.00)0.981
 Gamma-glutamyl Transpeptidase (U/L)17231.98 (7.54-1227.00)13129.61 (7.54-1227.00)4140.53 (7.69-295.00)0.346
 Blood Urea Nitrogen (mmol/L)1727.60 (2.17-47.25)1317.40 (2.17-47.25)417.96 (2.47-20.15)0.993
 Serum Creatinine (umol/L)17269.145 (34.40-267.63)13167.03 (34.40-267.63)4174.21 (34.90-144.98)0.116
 Potassium (mmol/L)1733.95 (2.48-5.54)1313.95 (2.48-5.54)423.97 (3.12-5.49)0.876
 Sodium (mmol/L)173138.50 (124.00-152.90)131138.40 (130.40-152.90)42138.80 (124.00-145.70)0.544
 PT (seconds)17116.10 (10.50-27.40)13116.10 (11.60-27.40)4016.05 (10.50-27.20)0.606
 APTT (seconds)17037.85 (19.40-59.70)13137.90 (27.50-59.70)3937.40 (19.40-52.10)0.542
 INR1701.32 (0.91-2.55)1311.33 (1.01-2.55)391.31 (0.91-2.50)0.681
Child-Pugh Score1698.00 (5.00-15.00)1308.00 (5.00-12.00)397.00 (5.00-12.00)0.603
Child-Pugh A/B/C16951 (30.2%)/94 (55.6%)  /24 (14.2%)13037 (28.5%)/75 (57.7%)  /18 (13.8%)3914 (35.9%)/19 (48.7%)  /6 (15.4%)0.596
MELD Score1707.22 (-3.16-23.19)1317.26 (-3.16-20.70)397.22 (-2.38-23.19)0.671
Recalibrated MELD Score170-3.82 (-5.97- -0.51)131-3.81 (-5.97- -1.03)39-3.82 (-5.80- -0.51)0.671
ALBI Score171-1.63 (-3.40- -0.11)130-1.62 (-3.40- -0.11)41-1.68 (-2.70- -0.49)0.675
Esophageal Varices (No/Mild/Moderate/Severe)1519 (6.0%)/23 (15.2%)/26 (17.2%)/93 (61.6%)1166 (5.2%)/18 (15.5%)/20 (17.2)/72 (61.1%)353 (8.6%)/5 (14.3%)/6  (17.1%)/21 (60.0%)0.965
Treatment
 Endoscopic Treatment173139 (80.3%)131104 (79.4%)4235 (83.3%)0.576
 Sengstaken Blakemore1731 (0.6%)1310 (0%)421 (2.4%)0.077
 Somatostatin and/or Octreotide173160 (92.5%)131119 (90.8%)4241 (97.6%)0.147
 Blood Transfusion17388 (50.9%)13162 (47.3%)4226 (61.9%)0.100
 PPIs173173 (100%)131131 (100%)4242 (100%)NA
 Surgery1730 (0%)1310 (0%)420 (0%)NA
5-day Re-bleeding After Treatment17213 (7.6%)1309 (6.9%)424 (9.5%)0.579
Death During Hospitalization1734 (2.3%)1313 (2.3%)421 (2.4%)0.973
Length of Stay (days)17310.10 (0.12-32.94)13110.10 (0.12-32.94)4210.28 (5.02-31.06)0.335
Total Payment (¥)17324,328.31 (3,427.24-98,215.78)13122,685.20 (3,427.24-98,215.78)4225,213.81 (9,970.37-81,125.52)0.166

Data are expressed as median (range) or frequency (percentage).

Abbreviations. AUGIB: acute upper gastrointestinal bleeding; HBV: Hepatitis B virus; HCV: Hepatitis C virus; PT: prothrombin time; APTT: activated partial thromboplastin time; INR: international normalized ratio; MELD: model for end-stage liver disease; ALBI: albumin-bilirubin; PPIs: proton pump inhibitors; ¥: Renminbi.

3.2.2. Outcomes

No significant difference in demographics, etiology of liver disease, laboratory tests, Child-Pugh score, MELD score, recalibrated MELD score, ALBI score, and treatment options was observed between the two groups (P>0.05, in all comparisons). As for the outcomes, 5-day rebleeding rate, in-hospital mortality, length of stay, and total payment were not significantly different between the two groups (P=0.579, P=0.973, P=0.335, and P=0.166, respectively) (Table 3).

3.2.3. Patients' Characteristics after Propensity Score Matching

After a 1:1 propensity score matching analysis, a total of 40 patients with liver cirrhosis and AUGIB were included. Baseline patient characteristics are described in Table 4. Median age was 56.86 years (range: 20.57 to 75.64). Among them, 28 (70%) patients were male. Major etiology of liver diseases included hepatitis B virus infection (n=9, 22.5%) and alcohol abuse (n=14, 35%). A majority of patients had Child-Pugh class B (n=22, 55%). Median MELD score at admission was 5.82 (range: -2.38 to 23.19). No, mild, moderate, and severe esophageal varices were observed in 2 (5%), 5 (12.5%), 6 (15%), and 27 (67.5%) patients, respectively. As for the treatment of AUGIB, 38 (95%) patients underwent endoscopic therapy, no patient underwent Sengstaken Blackmore tube placement, 39 (97.5%) patients received somatostatin and/or octreotide, 21 (52.5%) patients received blood transfusion, all patients received PPIs, and no patient underwent surgery. Five-day rebleeding rate was 12.5% (n=5). In-hospital mortality was 2.5% (n=1). Median length of hospital stay was 11.95 days (range: 5.73 to 31.06). Median total payment was ¥24,961.33 (range: 11,212.15 to 81,125.52).
Table 4

Characteristics of patients with liver cirrhosis and AUGIB after propensity matching in validation cohort.

Variables Propensity matching patients P value
Overall (n=40) Regular hours (n=20) Off-hours (n=20)
Age (years)56.86 (20.57-75.64)60.64 (20.57-75.64)55.52 (35.18-74.33)0.160
Sex (male)28 (70%)13 (65%)15 (75%)0.490
Etiology of Liver Diseases0.622
 HBV9 (22.5%)4 (20%)5 (25%)
 HCV4 (10%)2 (10%)2 (10%)
 Alcohol Abuse14 (35%)7 (35%)7 (35%)
 Drug Related2 (5%)0 (0%)2 (10%)
 Autoimmune Liver Diseases1 (2.5%)1 (5%)0 (0%)
 Other or Unclear Etiology10 (25%)6 (30%)4 (20%)
Laboratory Tests
 Red Blood Cell (1012/L)2.625 (1.65-3.89)2.58 (1.69-3.89)2.705 (1.65-3.78)0.968
 Hemoglobin (g/L)74.50 (38.00-126.00)77.00 (53.00-122.00)72.50 (38.00-126.00)0.473
 White Blood Cell (109/L)4.40 (1.80-14.90)4.40 (2.20-11.70)4.35 (1.80-14.90)0.839
 Platelet Count (109/L)72.50 (27.00-301.00)72.50 (27.00-301.00)72.00 (32.00-145.00)0.978
 Total Bilirubin (umol/L)18.10 (5.50-106.10)16.85 (5.50-50.90)18.10 (8.50-106.10)0.256
 Direct Bilirubin (umol/L)7.85 (2.20-60.10)7.10 (2.20-41.50)7.95 (3.00-60.10)0.675
 Indirect Bilirubin (umol/L)9.50 (2.80-46.00)8.55 (2.80-22.10)10.00 (5.40-46.00)0.148
 Albumin (g/L)30.65 (18.00-39.20)30.85 (19.00-38.60)30.00 (18.00-39.20)1
 Alanine Aminotransferase (U/L)21.805 (6.79-88.77)21.805 (9.44-72.47)20.415 (6.79-88.77)0.756
 Aspartate Aminotransferase (U/L)25.635 (10.74-136.00)28.38 (11.00-88.79)25.635 (10.74-136.00)0.978
 Alkaline Phosphatase (U/L)80.10 (40.34-234.00)80.94 (40.34-234.00)78.245 (46.24-149.45)0.705
 Gamma-glutamyl Transpeptidase (U/L)41.245 (7.69-295.00)40.48 (13.71-254.00)42.765 (7.69-295.00)0.935
 Blood Urea Nitrogen (mmol/L)7.395 (2.98-18.83)7.055 (2.98-18.83)8.40 (4.65-18.72)0.245
 Serum Creatinine (umol/L)70.11 (34.90-143.10)66.68 (42.60-95.20)74.255 (34.90-143.10)0.117
 Potassium (mmol/L)3.95 (3.10-4.66)3.88 (3.10-4.66)3.98 (3.27-4.59)0.330
 Sodium (mmol/L)139.10 (124.00-145.70)138.50 (135.00-141.40)139.45 (124.00-145.70)0.279
 PT (seconds)15.80 (13.30-24.50)15.40 (13.30-23.90)16.05 (13.50-24.50)0.417
 APTT (seconds)36.25 (30.80-47.50)35.90 (30.80-45.20)37.15 (32.20-47.50)0.351
 INR1.275 (1.02-2.19)1.255 (1.08-2.08)1.31 (1.02-2.19)0.516
Child-Pugh Score8.00 (5.00-12.00)8.00 (5.00-12.00)7.00 (5.00-12.00)0.836
Child-Pugh A/B/C14 (35%)/22 (55%)/4 (10%)7 (35%)/12 (60%)/1 (5%)7 (35%)/10 (50%)/3 (15%)0.544
MELD Score5.82 (-2.38-23.19)5.51 (-1.04-14.75)6.51 (-2.38-23.19)0.245
Recalibrated MELD Score-4.11 (-5.80- -0.51)-4.17 (-5.53- -2.26)-3.96 (-5.80- -0.51)0.245
ALBI Score-1.67 (-2.62- -0.49)-1.73 (-2.44- -0.49)-1.67 (-2.62- -0.60)0.787
Esophageal Varices (No/Mild/Moderate/Severe)2 (5%)/5 (12.5%)/6 (15%)/27 (67.5%)1 (5%)/3 (15%)/3 (15%)/13 (65%)1 (5%)/2 (10%)/3 (15%)/14 (70%)0.971
Treatment
 Endoscopic Treatment38 (95%)19 (95%)19 (95%)1
 Sengstaken Blakemore0 (0%)0(0%)0(0%)NA
 Somatostatin39 (97.5%)20 (100%)19 (95%)0.311
 Blood Transfusion21 (52.5%)9 (45%)12 (60%)0.342
 PPIs40 (100%)20 (100%)20 (100%)NA
 Surgery0 (0%)0 (0%)0 (0%)NA
5-day Re-bleeding After Treatment5 (12.5%)2 (10%)3 (15%)0.633
Death During Hospitalization1 (2.5%)0 (0%)1 (5%)0.311
Length of Stay (days)11.95 (5.73-31.06)11.95 (5.73-21.95)11.28 (7.52-31.06)0.441
Total Payment (¥)24,961.33 (11,212.15-81,125.52)25,985.45 (15,513.68-56,952.12)24,961.33 (11,212.15-81,125.52)0.829

Data are expressed as median (range) or frequency (percentage).

Abbreviations. AUGIB: acute upper gastrointestinal bleeding; HBV: Hepatitis B virus; HCV: Hepatitis C virus; PT: Prothrombin time; APTT: activated partial thromboplastin time; INR, International normalized ratio; MELD: model for end-stage liver disease; ALBI: albumin-bilirubin; PPIs: proton pump inhibitors; ¥: Renminbi.

3.2.4. Outcomes after Propensity Score Matching

After a 1:1 propensity score matching analysis, 20 patients were matched on each group (Table 4). No significant difference in demographics, etiology of liver disease, laboratory tests, Child-Pugh score, MELD score, recalibrated MELD score, ALBI score, and treatment options was observed between the two groups (P>0.05, in all comparisons). As for the outcomes, 5-day rebleeding rate, in-hospital mortality, length of stay, and total payment were not significantly different between the two groups (P=0.633, P=0.311, P=0.441, and P=0.829, respectively).

4. Discussion

Traditionally, a worse outcome in patients with UGIB during the weekend was potentially attributed to lower staffing levels and relatively younger and inexperienced staff [11]. Indeed, both overall analyses and subgroup analyses of patients with endoscopically confirmed varices in the test cohort demonstrated a significantly higher 5-day rebleeding rate and a larger amount of payment in patients admitted on off-hours. This might be primarily due to worse liver dysfunction in patients admitted on off-hours, such as lower albumin and higher prothrombin time, INR, Child-Pugh score, and ALBI score. As the Child-Pugh score was matched, the propensity score matching analyses of both test and validation cohorts showed no significant effect of admission time on the rebleeding rate, in-hospital mortality, length of stay, and total payment of cirrhotic patients with AUGIB. These findings suggested that the weekend effect might not be an independent risk factor for worse outcomes of cirrhotic patients with AUGIB. A meta-analysis [16] found that off-hours admission was not associated with a higher risk of rebleeding rate (OR=1.06, 95%CI=0.83-1.35, and P=0.66) and longer length of stay (WMD 0.06 day, 95%CI=-0.30 - -0.42, P=0.747). These previous findings were consistent with our results regarding 5-day rebleeding rate and length of stay. Notably, our study focused on the 5-day rebleeding rate after treatment during hospitalization. However, the interval of rebleeding was not specified in the meta-analysis. As we have known, the length of stay was usually associated with the severity of illness [24]. In addition, as well known, liver dysfunction as estimated by Child-Pugh score and MELD score were risk factors for mortality of cirrhotic patients with AUGIB [25-27]. Two of the published meta-analyses [16, 17] demonstrated a significant weekend effect on the mortality in patients with nonvariceal UGIB, but not those with variceal bleeding. This finding seemed to be consistent with our results regarding mortality. Notably, our study focused on the outcomes during hospitalization, but not those after discharge. The fact is readily understood that admission time mainly influenced the in-hospitalization outcomes but marginally influenced the outcomes after discharge. Indeed, a meta-analysis also suggested that off-hours admission negatively influenced in-hospital mortality (P=0.009), rather than 30-day mortality (P=0.116). Our study has the following advantages. First, we refined the definitions of off-hours admission. Second, we included a test cohort and a validation cohort which can reduce the sampling bias to some extent. Third, we employed a propensity score matching analysis. Thus, the patient characteristics, especially Child-Pugh and MELD scores which are significantly associated with prognosis of liver cirrhosis, are comparable between the two groups. Our results become more stable. However, the major drawback of our study should be that not all patients undergo endoscopy to evaluate the source of bleeding. Additionally, the sample size is not adequate in the validation cohort. Finally, a potential selection bias could not be neglected due to the retrospective nature of this study. In conclusion, off-hours admission might not be associated with outcomes in patients with liver cirrhosis and AUGIB. However, the geographical difference should not be neglected to extrapolate our findings.
  27 in total

1.  Revising consensus in portal hypertension: report of the Baveno V consensus workshop on methodology of diagnosis and therapy in portal hypertension.

Authors:  Roberto de Franchis
Journal:  J Hepatol       Date:  2010-06-27       Impact factor: 25.083

2.  Child-Pugh versus MELD score for predicting the in-hospital mortality of acute upper gastrointestinal bleeding in liver cirrhosis.

Authors:  Ying Peng; Xingshun Qi; Junna Dai; Hongyu Li; Xiaozhong Guo
Journal:  Int J Clin Exp Med       Date:  2015-01-15

3.  Albumin-bilirubin score for predicting the in-hospital mortality of acute upper gastrointestinal bleeding in liver cirrhosis: A retrospective study.

Authors:  Deli Zou; Xingshun Qi; Cuihong Zhu; Zheng Ning; Feifei Hou; Jiancheng Zhao; Ying Peng; Jing Li; Han Deng; Xiaozhong Guo
Journal:  Turk J Gastroenterol       Date:  2016-03       Impact factor: 1.852

4.  Weekend and nighttime effect on the prognosis of peptic ulcer bleeding.

Authors:  Young Hoon Youn; Yong Jin Park; Jae Hak Kim; Tae Joo Jeon; Jae Hee Cho; Hyojin Park
Journal:  World J Gastroenterol       Date:  2012-07-21       Impact factor: 5.742

5.  Mortality from acute upper gastrointestinal bleeding in the United kingdom: does it display a "weekend effect"?

Authors:  V Jairath; B C Kahan; R F A Logan; S A Hearnshaw; S P L Travis; M F Murphy; K R Palmer
Journal:  Am J Gastroenterol       Date:  2011-05-24       Impact factor: 10.864

6.  Mortality among patients admitted to hospitals on weekends as compared with weekdays.

Authors:  C M Bell; D A Redelmeier
Journal:  N Engl J Med       Date:  2001-08-30       Impact factor: 91.245

Review 7.  The model for end-stage liver disease (MELD).

Authors:  Patrick S Kamath; W Ray Kim
Journal:  Hepatology       Date:  2007-03       Impact factor: 17.425

8.  Admission time is associated with outcome of upper gastrointestinal bleeding: results of a multicentre prospective cohort study.

Authors:  N L de Groot; J H Bosman; P D Siersema; M G H van Oijen; A J Bredenoord
Journal:  Aliment Pharmacol Ther       Date:  2012-07-02       Impact factor: 8.171

9.  Weekend versus weekday admission and mortality from gastrointestinal hemorrhage caused by peptic ulcer disease.

Authors:  Abdel Aziz M Shaheen; Gilaad G Kaplan; Robert P Myers
Journal:  Clin Gastroenterol Hepatol       Date:  2008-09-03       Impact factor: 11.382

10.  International prospective observational study of upper gastrointestinal haemorrhage: Does weekend admission affect outcome?

Authors:  Iain A Murray; Harry R Dalton; Adrian J Stanley; Jing H Ngu; Brian Maybin; Mahmoud Eid; Kenneth G Madsen; Rozeta Abazi; Hamad Ashraf; Mohamed Abdelrahim; Rebecca Lissmann; Jenny Herrod; Christopher Jl Khor; Hock S Ong; Doreen Sc Koay; Yung K Chin; Stig B Laursen
Journal:  United European Gastroenterol J       Date:  2017-03-16       Impact factor: 4.623

View more
  4 in total

1.  No Benefit of Hemostatic Drugs on Acute Upper Gastrointestinal Bleeding in Cirrhosis.

Authors:  Yang An; Zhaohui Bai; Xiangbo Xu; Xiaozhong Guo; Fernando Gomes Romeiro; Cyriac Abby Philips; Yingying Li; Yanyan Wu; Xingshun Qi
Journal:  Biomed Res Int       Date:  2020-06-26       Impact factor: 3.411

2.  Association of serum albumin level with incidence and mortality of overt hepatic encephalopathy in cirrhosis during hospitalization.

Authors:  Zhaohui Bai; Xiaozhong Guo; Frank Tacke; Yingying Li; Hongyu Li; Xingshun Qi
Journal:  Therap Adv Gastroenterol       Date:  2019-10-07       Impact factor: 4.409

3.  Development and Validation of CAGIB Score for Evaluating the Prognosis of Cirrhosis with Acute Gastrointestinal Bleeding: A Retrospective Multicenter Study.

Authors:  Zhaohui Bai; Bimin Li; Su Lin; Bang Liu; Yiling Li; Qiang Zhu; Yunhai Wu; Yida Yang; Shanhong Tang; Fanping Meng; Yu Chen; Shanshan Yuan; Lichun Shao; Xingshun Qi
Journal:  Adv Ther       Date:  2019-09-11       Impact factor: 3.845

4.  Initial choice of antibiotic in recurrent spontaneous bacterial peritonitis: A retrospective study.

Authors:  Gayathri Vasanthakumari Sasidharan Nair; Prannoy George Mathen; M Gopalakrishna Pillai; K P Gireesh Kumar; K K Velayudhan; T P Sreekrishnan
Journal:  Int J Crit Illn Inj Sci       Date:  2019-12-11
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.