Application of Big Data analysis in gastrointestinal research

Benefit and Harm of Aspirin on Mortality From Gastrointestinal Cancers Vs Bleeding in Helicobacter pylori-Eradicated Patients

BACKGROUND & AIMS

We investigated the benefit-risk profile of aspirin on mortality reduction from chemoprevention of gastrointestinal (GI) cancer vs excess mortality from bleeding among Helicobacter pylori-eradicated patients, and its interaction with proton pump inhibitors (PPIs).

METHODS

H pylori-eradicated patients (between 2003 and 2016), identified from a territory-wide database, were observed from the date of H pylori therapy until death or the end of the study (July 2020). Primary exposure was aspirin use as time-varying variable. The primary outcome was GI cancer-related (gastrointestinal, hepatobiliary, or pancreatic cancer) death and the secondary outcome was bleeding-related (gastrointestinal bleeding or intracranial bleeding) death. The adjusted hazard ratio (aHR) of outcomes was calculated by multivariable Cox model after adjusting for age, sex, comorbidities, and concomitant medications. The benefit-risk profile was expressed as the adjusted absolute risk difference of cancer-related deaths and bleeding-related deaths between aspirin users and nonusers.

RESULTS

A total of 87,967 subjects were followed up for a median of 10.1 years, with 1294 (1.5%) GI cancer-related deaths and 304 (0.3%) bleeding-related deaths. Aspirin was associated with lower GI cancer-related mortality (aHR, 0.51; 95% CI, 0.42-0.61), but higher bleeding-related mortality (aHR, 1.52; 95% CI, 1.11-2.08). Among PPI users, the aHR of bleeding-related mortality with aspirin was 1.06 (95% CI, 0.70-1.63). For the whole cohort, the adjusted absolute risk difference between aspirin users and nonusers was 7 (95% CI, 5-8) fewer cancer-related and 1 (95% CI, 0.3-3) more bleeding-related death per 10,000 person-years. Among concomitant PPI-aspirin use, there were 9 (95% CI, 8-10) fewer cancer-related deaths per 10,000 person-years without an increase in bleeding-related deaths.

CONCLUSIONS

GI cancer mortality benefit from aspirin outweighs bleeding-related mortality in H pylori-eradicated subjects, which is enhanced further by PPI use.

Optimal glycaemic control and the reduced risk of colorectal adenoma and cancer in patients with diabetes: a population-based cohort study

OBJECTIVE

Whether varying degrees of glycaemic control impact colonic neoplasm risk in patients with diabetes mellitus (DM) remains uncertain.

DESIGN

Patients with newly diagnosed DM were retrieved from 2005 to 2013. Optimal glycaemic control at baseline was defined as mean haemoglobin A1c (HbA1c)<7%. Outcomes of interest included colorectal cancer (CRC) and colonic adenoma development. We used propensity score (PS) matching with competing risk models to estimate subdistribution HRs (SHRs). We further analysed the combined effect of baseline and postbaseline glycaemic control based on time-weighted mean HbA1c during follow-up.

RESULTS

Of 88 468 PS-matched patients with DM (mean (SD) age: 61.5 (±11.7) years; male: 47 127 (53.3%)), 1229 (1.4%) patients developed CRC during a median follow-up of 7.2 (IQR: 5.5-9.4) years. Optimal glycaemic control was associated with lower CRC risk (SHR 0.72; 95% CI 0.65 to 0.81). The beneficial effect was limited to left-sided colon (SHR 0.71; 95% CI 0.59 to 0.85) and rectum (SHR 0.71; 95% CI 0.57 to 0.89), but not right-sided colon (SHR 0.86; 95% CI 0.67 to 1.10). Setting suboptimal glycaemic control at baseline/postbaseline as a reference, a decreased CRC risk was found in optimal control at postbaseline (SHR 0.79), baseline (SHR 0.71) and both time periods (SHR 0.61). Similar associations were demonstrated using glycaemic control as a time-varying covariate (HR 0.75). A stepwise greater risk of CRC was found (Ptrend<0.001) with increasing HbA1c (SHRs 1.34, 1.30, 1.44, 1.58 for HbA1c 7.0% to <7.5%, 7.5% to <8.0%, 8.0% to <8.5% and ≥8.5%, respectively). Optimal glycaemic control was associated with a lower risk of any, non-advanced and advanced colonic adenoma (SHRs 0.73-0.87).

CONCLUSION

Glycaemic control in patients with DM was independently associated with the risk of colonic adenoma and CRC development with a biological gradient.

Baseline neutrophil-to-lymphocyte ratio as a predictor of response to hospitalized bronchiectasis exacerbation risks

Background

Bronchiectasis is a disease with predominantly neutrophilic inflammation. As a readily available biomarker, there is little evidence to support the use of blood neutrophil-to-lymphocyte ratio (NLR) to predict bronchiectasis exacerbation severe enough to warrant hospitalization.

Methods

A registry-based retrospective cohort study was conducted at a in Hong Kong. Chinese patients with non-cystic fibrosis (CF) bronchiectasis were retrospectively reviewed and subsequently followed up to investigate the association of NLR and the need for hospitalization for bronchiectasis exacerbation. Data on the NLR for patients in a clinically stable state in 2018 were collected and patients followed up from 1 January 2019 to 31 December 2022. The primary outcome was the need for hospitalization due to bronchiectasis exacerbation over the next 4 years.

Results

We reviewed 473 Chinese patients with non-CF bronchiectasis, of whom 94 required hospitalization for bronchiectasis exacerbation during the 4-year follow-up period. Multi-variable logistic regression adjusted for E-FACED score (Exacerbation, Forced expiratory volume in 1 s (FEV1), Age, Chronic colonization, Extension, and Dyspnea score), gender, age, smoking status, and presence of co-existing chronic obstructive pulmonary disease (COPD) was conducted to compare patients with highest and lowest quartile NLR. Results revealed that those with NLR at the highest quartile were at increased risk of hospitalization for bronchiectasis exacerbation with an adjusted odds ratio (aOR) of 2.02 (95% confidence interval = 1.00-4.12, p = 0.05).

Conclusion

Blood NLR may serve as a marker to predict the need for hospitalization due to bronchiectasis exacerbation.

Comparison of safety and efficacy between Nirmatrelvir-ritonavir and molnupiravir in the treatment of COVID-19 infection in patients with advanced kidney disease: a retrospective observational study

Background

Nirmatrelvir-ritonavir is used in patients with coronavirus disease 2019 (COVID-19) with normal or mild renal impairment (eGFR ≥30 ml/min per 1.73 m2). There is limited data regarding its use in advanced kidney disease (eGFR <30 ml/min per 1.73 m2). We performed a retrospective territory-wide observational study evaluating the safety and efficacy of nirmatrelvir-ritonavir when compared with molnupiravir in the treatment of patients with COVID-19 with advanced kidney disease.

Methods

We adopted target trial emulation using data from a territory-wide electronic health record database on eligible patients aged ≥18 years with advanced kidney disease (history of eGFR <30 ml/min per 1.73 m2) who were infected with COVID-19 and were prescribed with either molnupiravir or nirmatrelvir-ritonavir within five days of infection during the period from 16 March 2022 to 31 December 2022. A sequence trial approach and 1:4 propensity score matching was applied based on the baseline covariates including age, sex, number of COVID-19 vaccine doses received, Charlson comorbidity index (CCI), hospitalisation, eGFR, renal replacement therapy, comorbidities (cancer, respiratory disease, myocardial infarction, ischaemic stroke, diabetes, hypertension), and drug use (renin-angiotensin-system agents, beta blockers, calcium channel blockers, diuretics, nitrates, lipid lowering agents, insulins, oral antidiabetic drugs, antiplatelets, immuno-suppressants, corticosteroids, proton pump inhibitors, histamine H2 receptor antagonists, monoclonal antibody infusion) within past 90 days. Individuals were followed up from the index date until the earliest outcome occurrence, death, 90 days from index date or the end of data availability. Stratified Cox proportional hazards regression adjusted with baseline covariates was used to compare the risk of outcomes between nirmatrelvir-ritonavir recipients and molnupiravir recipients which include (i) all-cause mortality, (ii) intensive care unit (ICU) admission, (iii) ventilatory support, (iv) hospitalisation, (v) hepatic impairment, (vi) ischaemic stroke, and (vii) myocardial infarction. Subgroup analyses included age (<70; ≥70 years); sex, Charlson comorbidity index (≤5; >5), and number of COVID-19 vaccine doses received (0-1; ≥2 doses).

Findings

A total of 4886 patients were included (nirmatrelvir-ritonavir: 1462; molnupiravir: 3424). There were 347 events of all-cause mortality (nirmatrelvir-ritonavir: 74, 5.06%; molnupiravir: 273, 7.97%), 10 events of ICU admission (nirmatrelvir-ritonavir: 4, 0.27%; molnupiravir: 6, 0.18%), 48 events of ventilatory support (nirmatrelvir-ritonavir: 13, 0.89%; molnupiravir: 35, 1.02%), 836 events of hospitalisation (nirmatrelvir-ritonavir: 218, 23.98%; molnupiravir: 618, 28.14%), 1 event of hepatic impairment (nirmatrelvir-ritonavir: 0, 0%; molnupiravir: 1, 0.03%), 8 events of ischaemic stroke (nirmatrelvir-ritonavir: 3, 0.22%; molnupiravir: 5, 0.16%) and 9 events of myocardial infarction (nirmatrelvir-ritonavir: 2, 0.15%; molnupiravir: 7, 0.22%). Nirmatrelvir-ritonavir users had lower rates of all-cause mortality (absolute risk reduction (ARR) at 90 days 2.91%, 95% CI: 1.47-4.36%) and hospitalisation (ARR at 90 days 4.16%, 95% CI: 0.81-7.51%) as compared with molnupiravir users. Similar rates of ICU admission (ARR at 90 days -0.09%, 95% CI: -0.4 to 0.2%), ventilatory support (ARR at 90 days 0.13%, 95% CI: -0.45 to 0.72%), hepatic impairment (ARR at 90 days 0.03%, 95% CI: -0.03 to 0.09%), ischaemic stroke (ARR at 90 days -0.06%, 95% CI: -0.35 to 0.22%), and myocardial infarction (ARR at 90 days 0.07%, 95% CI: -0.19 to 0.33%) were found between nirmatrelvir-ritonavir and molnupiravir users. Consistent results were observed in relative risk adjusted with baseline characteristics. Nirmatrelvir-ritonavir was associated with significantly reduced risk of all-cause mortality (HR: 0.624, 95% CI: 0.455-0.857) and hospitalisation (HR: 0.782, 95% CI: 0.64-0.954).

Interpretation

Patients with COVID-19 with advanced kidney disease receiving nirmatrelvir-ritonavir had a lower rate of all-cause mortality and hospital admission when compared with molnupiravir. Other adverse clinical outcomes were similar in both treatment groups.

Funding

Health and Medical Research Fund (COVID1903010), Health Bureau, The Government of the Hong Kong Special Administrative Region, China.

Systemic immune-inflammation index in predicting hospitalized bronchiectasis exacerbation risks and disease severity

Background

Bronchiectasis is a common respiratory disease with neutrophilic inflammation being the predominant pathophysiology. Systemic immune-inflammation index (SII) is a simple and readily available biomarker being studied in various conditions including asthma, chronic obstructive pulmonary disease, and interstitial lung disease, but not in bronchiectasis. We aim to investigate the prognostic role of SII in bronchiectasis with this study.

Methods

A retrospective cohort study in Chinese patients with non-cystic fibrosis (CF) bronchiectasis was conducted in Hong Kong, to investigate the association between baseline SII and of hospitalized bronchiectasis exacerbation risk over 4.5 years of follow-up, as well as correlating with disease severity in bronchiectasis. The baseline SII in 2018 was calculated based on stable-state complete blood count.

Results

Among 473 Chinese patients with non-CF bronchiectasis were recruited, 94 of the patients had hospitalized bronchiectasis exacerbation during the follow-up period. Higher SII was associated with increased hospitalized bronchiectasis exacerbation risks with adjusted odds ratio (aOR) of 1.001 [95% confidence interval (CI): 1.000-1.001, P=0.003] for 1 unit (cells/µL) increase in SII count and aOR of 1.403 (95% CI: 1.126-1.748, P=0.003) for 1 standard deviation (SD) increase in SII. SII was found to have significant negative association with baseline forced expiratory volume in the first second (FEV1) (in litre and percentage predicted), forced vital capacity (FVC) in percentage; and significant positive correlation with the extent of bronchiectasis and baseline neutrophil to lymphocyte ratio (NLR).

Conclusions

SII could serve as biomarker to predict the risks of hospitalized exacerbation in bronchiectasis patients, as well as correlating with the disease severity.

Proton pump inhibitors associated with severe COVID-19 among two-dose but not three-dose vaccine recipients

BACKGROUND AND AIM

Proton pump inhibitors (PPIs) may increase the risk of COVID-19 among non-vaccinated subjects via various mechanisms, including gut dysbiosis. We aimed to investigate whether PPIs also affect the clinical outcomes of COVID-19 among vaccine recipients.

METHODS

This was a territory-wide cohort study of 3 272 286 vaccine recipients (aged ≥ 18 years) of ≥ 2 doses of either BNT162b2 or CoronaVac. Exclusion criteria included prior gastrointestinal surgery, immunocompromised status, and prior COVID-19. The primary outcome was COVID-19, and secondary outcomes included COVID-19-related hospitalization and severe infection (composite of intensive care unit admission, ventilatory support, and/or death). Covariates include age, sex, the Charlson Comorbidity Index, comorbidities, and concomitant medication use. Subjects were followed from index date (first dose of vaccination) until outcome occurrence, death, additional dose of vaccination, or March 31, 2022. Exposure was pre-vaccination PPI use (any prescription within 90 days before the index date). Propensity score (PS) matching and a Poisson regression model were used to estimate the adjusted incidence rate ratio (aIRR) of outcomes with PPI use.

RESULTS

Among 439 154 PS-matched two-dose vaccine recipients (mean age: 65.3 years; male: 45.7%) with a median follow-up of 6.8 months (interquartile range: 2.6-7.9), PPI exposure was associated with a higher risk of COVID-19 (aIRR: 1.08; 95% confidence interval [95% CI]: 1.05-1.10), hospitalization (aIRR: 1.20; 95% CI: 1.08-1.33), and severe infection (aIRR: 1.57; 95% CI: 1.24-1.98). Among 188 360 PS-matched three-dose vaccine recipients (mean age: 62.5 years; male: 49.0%; median follow-up: 9.1 months [interquartile range: 8.0-10.9]), PPIs were associated with higher infection risk (aIRR: 1.11; 95% CI: 1.08-1.15) but not other outcomes.

CONCLUSIONS

Although PPI use was associated with a higher COVID-19 risk, severe infection was limited to two-dose but not three-dose vaccine recipients.

Effectiveness of molnupiravir vs nirmatrelvir-ritonavir in non-hospitalised and hospitalised patients with COVID-19: a target trial emulation study

Background

Molnupiravir and nirmatrelvir-ritonavir have emerged as promising options for COVID-19 treatment, but direct comparisons of their effectiveness have been limited. This study aimed to compare the effectiveness of these two oral antiviral drugs in non-hospitalised and hospitalised patients with COVID-19.

Methods

In this target trial emulation study, we used data from a territory-wide electronic health records database on eligible patients aged ≥18 years infected with COVID-19 who were prescribed either molnupiravir or nirmatrelvir-ritonavir within five days of infection between 16 March 2022 and 31 December 2022 in the non-hospitalised and hospitalised settings in Hong Kong. A sequence trial approach and 1:1 propensity score matching was applied based on age, sex, number of COVID-19 vaccine doses received, Charlson comorbidity index, comorbidities, and drug use within past 90 days. Cox regression adjusted with patients' characteristics was used to compare the risk of effectiveness outcomes (all-cause mortality, intensive care unit (ICU) admission or ventilatory support and hospitalisation) between groups. Subgroup analyses included age (<70; ≥70 years); sex, Charlson comorbidity index (<4; ≥4), and number of COVID-19 vaccine doses received (0-1; ≥2 doses).

Findings

A total of 63,522 non-hospitalised (nirmatrelvir-ritonavir: 31,761; molnupiravir: 31,761) and 11,784 hospitalised (nirmatrelvir-ritonavir: 5892; molnupiravir: 5892) patients were included. In non-hospitalised setting, 336 events of all-cause mortality (nirmatrelvir-ritonavir: 71, 0.22%; molnupiravir: 265, 0.83%), 162 events of ICU admission or ventilatory support (nirmatrelvir-ritonavir: 71, 0.22%; molnupiravir: 91, 0.29%), and 4890 events of hospitalisation (nirmatrelvir-ritonavir: 1853, 5.83%; molnupiravir: 3037, 9.56%) were observed. Lower risks of all-cause mortality (absolute risk reduction (ARR) at 28 days: 0.61%, 95% CI: 0.50-0.72; HR: 0.43, 95% CI: 0.33-0.56) and hospital admission (ARR at 28 days: 3.73%, 95% CI: 3.31-4.14; HR: 0.72, 95% CI: 0.67-0.76) were observed in nirmatrelvir-ritonavir users compared to molnupiravir users. In hospitalised setting, 509 events of all-cause mortality (nirmatrelvir-ritonavir: 176, 2.99%; molnupiravir: 333, 5.65%), and 50 events of ICU admission or ventilatory support (nirmatrelvir-ritonavir: 26, 0.44%; molnupiravir: 24, 0.41%) were observed. Risk of all-cause mortality was lower for nirmatrelvir-ritonavir users than for molnupiravir users (ARR at 28 days: 2.66%, 95% CI: 1.93-3.40; HR: 0.59, 95% CI: 0.49-0.71). In both settings, there was no difference in the risk of intensive care unit admission or ventilatory support between groups. The findings were consistent across all subgroup's analyses.

Interpretation

Our analyses suggest that nirmatrelvir-ritonavir was more effective than molnupiravir in reducing the risk of all-cause mortality in both non-hospitalised and hospitalised patients. When neither drug is contraindicated, nirmatrelvir-ritonavir may be considered the more effective option.

Funding

HMRF Research on COVID-19, The Hong Kong Special Administrative Region (HKSAR) Government; Collaborative Research Fund, University Grants Committee, the HKSAR Government; and Research Grant from the Food and Health Bureau, the HKSAR Government; the Laboratory of Data Discovery for Health (D24H) funded by the AIR@InnoHK administered by Innovation and Technology Commission.

Big Data in Gastroenterology Research

Studying individual data types in isolation provides only limited and incomplete answers to complex biological questions and particularly falls short in revealing sufficient mechanistic and kinetic details. In contrast, multi-omics approaches to studying health and disease permit the generation and integration of multiple data types on a much larger scale, offering a comprehensive picture of biological and disease processes. Gastroenterology and hepatobiliary research are particularly well-suited to such analyses, given the unique position of the luminal gastrointestinal (GI) tract at the nexus between the gut (mucosa and luminal contents), brain, immune and endocrine systems, and GI microbiome. The generation of 'big data' from multi-omic, multi-site studies can enhance investigations into the connections between these organ systems and organisms and more broadly and accurately appraise the effects of dietary, pharmacological, and other therapeutic interventions. In this review, we describe a variety of useful omics approaches and how they can be integrated to provide a holistic depiction of the human and microbial genetic and proteomic changes underlying physiological and pathophysiological phenomena. We highlight the potential pitfalls and alternatives to help avoid the common errors in study design, execution, and analysis. We focus on the application, integration, and analysis of big data in gastroenterology and hepatobiliary research.

Nomogram Based on Preoperative Fibrinogen and Systemic Immune-Inflammation Index Predicting Recurrence and Prognosis of Patients with Borrmann Type III Advanced Gastric Cancer

Background and Objectives

The prognosis is known to differ significantly among advanced gastric cancer (AGC) with Borrmann type III. This study aimed to evaluate the prognosis of these patients more individually.

Methods

We selected 542 AGC patients with Borrmann type III. We used the receiver operating characteristic curve to analyze the cutoff values of inflammation indexes, and used Kaplan-Meier and Log rank tests to analyze recurrence-free survival (RFS) and overall survival (OS). The independent risk factors for recurrence and prognosis were analyzed by Cox proportional hazards regression model. The nomogram models were constructed by R studio.

Results

Patients with high preoperative fibrinogen (F) and systemic immune-inflammation index (SII) levels had worse RFS and OS and higher risk of postoperative locoregional recurrence, hematogenous metastasis and lymph node metastasis. F and SII can combine with different clinicopathological features (all P<0.05) to construct nomograms to predict 5-year recurrence and prognosis, which both were superior to pTNM stage alone.

Conclusion

The nomogram models based on F and SII can evaluate AGC with Borrmann type III postoperative recurrence and prognosis.

Impact of big data resources on clinicians’ activation of prior medical knowledge

Background

Activating prior medical knowledge in diagnosis and treatment is an important basis for clinicians to improve their care ability. However, it has not been systematically explained whether and how various big data resources affect the activation of prior knowledge in the big data environment faced by clinicians.

Objective

The aim of this study is to contribute to a better understanding on how the activation of prior knowledge of clinicians is affected by a wide range of shared and private big data resources, to reveal the impact of big data resources on clinical competence and professional development of clinicians.

Method

Through the comprehensive analysis of extant research results, big data resources are classified as big data itself, big data technology and big data services at the public and institutional levels. A survey was conducted on clinicians and IT personnel in Chinese hospitals. A total of 616 surveys are completed, involving 308 medical institutions. Each medical institution includes a clinician and an IT personnel. SmartPLS version 2.0 software package was used to test the direct impact of big data resources on the activation of prior knowledge. We further analyze their indirect impact of those big data resources without direct impact.

Results

(1) Big data quality environment at the institutional level and the big data sharing environment at the public level directly affect activation of prior medical knowledge; (2) Big data service environment at the institutional level directly affects activation of prior medical knowledge; (3) Big data deployment environment at the institutional level and big data service environment at the public level have no direct impact on activation of prior knowledge of clinicians, but they have an indirect impact through big data quality environment and service environment at the institutional level and the big data sharing environment at the public level.

Conclusions

Big data technology, big data itself and big data service at the public level and institutional level interact and influence each other to activate prior medical knowledge. This study highlights the implications of big data resources on improvement of clinicians’ diagnosis and treatment ability.

Prophylactic Antitubercular Therapy Is Associated With Accelerated Disease Progression in Patients With Crohn's Disease Receiving Anti-TNF Therapy: A Retrospective Multicenter Study

INTRODUCTION

Prophylactic antitubercular therapy (ATT) is widely prescribed in patients with Crohn's disease (CD) receiving antitumor necrosis factor (anti-TNF) treatment. However, antitubercular agents have been demonstrated to possess profibrotic effects. We aimed to evaluate whether ATT accelerated disease progression in patients with CD receiving anti-TNF treatment.

METHODS

A retrospective, multicenter study was performed in CD patients presented with inflammatory behavior (B1) and treated with anti-TNF agents. Disease progression was defined as the development of a stricturing (B2) or penetrating (B3) phenotype. ATT users were propensity score-matched with non-ATT users. Survival and multivariable Cox analyses were used to identify factors associated with disease progression.

RESULTS

We enrolled 441 patients, including 295 ATT users and 146 non-ATT users, with a median follow-up of 3.15 years (interquartile range: 1.6-4.7). The cumulative rates of disease progression in the ATT group were constantly higher than those in the non-ATT group after 1-, 3-, 5-, and 10-year follow-ups, respectively (P = 0.031). Multivariable Cox analysis identified ATT as an independent risk factor for disease progression using both the whole (hazard ratio = 2.22; 95% confidence interval: 1.11-4.48; P = 0.025) and propensity score-matched cohorts (hazard ratio = 2.35; 95% confidence interval: 1.07-5.14; P = 0.033). In subgroup analysis, patients receiving ATT ≥4.5 months had a significantly higher rate of disease progression compared with patients receiving ATT <4.5 months (P = 0.005) and non-ATT treatment (P = 0.036).

DISCUSSION

Prophylactic ATT with duration over 4.5 months was associated with disease progression in patients with CD receiving anti-TNF treatment.

Effect of moderate-to-severe hepatic steatosis on neutralising antibody response among BNT162b2 and CoronaVac recipients

Aim

Studies of hepatic steatosis (HS) effect on COVID-19 vaccine immunogenicity are lacking. We aimed to compare immunogenicity of BNT162b2 and CoronaVac among moderate/severe HS and control subjects.

Patients and Methods

295 subjects who received BNT162b2 or CoronaVac vaccines from five vaccination centers were categorized into moderate/severe HS (controlled attenuation parameter ≥268 dB/m on transient elastography) (n=74) or control (n=221) groups. Primary outcomes were seroconversion rates of neutralising antibody by live virus Microneutralization (vMN) assay (titer ≥10) at day 21 (BNT162b2) or day28 (CoronaVac) and day56 (both). Secondary outcome was highest-tier titer response (top 25% of vMN titer; cutoff: 160 [BNT162b2] and 20 [CoronaVac]) at day 56.

Results

For BNT162b2 (n=228 [77.3%]), there was no statistical differences in seroconversion rates (71.7% vs 76.6% [day21]; 100% vs 100% [day56]) or vMN GMT (13.2 vs 13.3, [day21]; 91.9 vs 101.4, [day56]) among moderate/severe HS and control groups respectively. However, lower proportion of moderate/severe HS patients had highest-tier response (5.0% vs 15.5%; p=0.037 [day56]). For CoronaVac (n=67 [22.7%]), there was no statistical differences in seroconversion rates (7.1% vs 15.1%, [day21]; 64.3% vs 83.0%, [day56]) or vMN GMT (5.3 vs 5.8,) at day 28. However, moderate/severe HS patients had lower vMN GMT (9.1 vs 14.8, p=0.021) at day 56 with lower proportion having highest-tier response (21.4% vs 52.8%, p=0.036).

Conclusion

While there was no difference in seroconversion rate between moderate/severe HS and control groups after two doses of vaccine, a lower proportion of moderate/severe HS patients achieved highest-tier response for either BNT162b2 or CoronaVac.

Prognostic significance of serum inflammation indices for different tumor infiltrative pattern types of gastric cancer

BACKGROUND

Inflammatory indices are considered to be potential prognostic biomarkers for patients with gastric cancer (GC). However, there is no evidence defining the prognostic significance of inflammatory indices for GC with different tumor infiltrative pattern (INF) types.

AIM

To evaluate the significance of inflammatory indices and INF types in predicting the prognosis of patients with GC.

METHODS

A total of 962 patients who underwent radical gastrectomy were retrospectively selected for this study. Patients were categorized into the expansive growth type (INFa), the intermediate type (INFb), and the infiltrative growth type (INFc) groups. The cutoff values of inflammatory indices were analyzed by receiver operating characteristic curves. The Kaplan–Meier method and log-rank test were used to analyze overall survival (OS). The chi-square test was used to analyze the association between inflammatory indices and clinical characteristics. The independent risk factors for prognosis in each group were analyzed by univariate and multivariate analyses based on logistic regression. Nomogram models were constructed by R studio.

RESULTS

The INFc group had the worst OS (P < 0.001). The systemic immune-inflammation index (P = 0.039) and metastatic lymph node ratio (mLNR) (P = 0.003) were independent risk factors for prognosis in the INFa group. The platelet-lymphocyte ratio (PLR) (P = 0.018), age (P = 0.026), body mass index (P = 0.003), and postsurgical tumor node metastasis (pTNM) stage (P < 0.001) were independent risk factors for prognosis in the INFb group. The PLR (P = 0.021), pTNM stage (P = 0.028), age (P = 0.021), and mLNR (P = 0.002) were independent risk factors for prognosis in the INFc group. The area under the curve of the nomogram model for predicting 5-year survival in the INFa group, INFb group, and INFc group was 0.787, 0.823, and 0.781, respectively.

CONCLUSION

The outcome of different INF types GC patients could be assessed by nomograms based on different inflammatory indices and clinicopathologic features.

Predictors: How to Approach the Individualization of Treatment

The "big data" in inflammatory bowel disease opens a route of detection of predictors that can determine the prognosis of each patient and allow the individualized selection of more efficient and safe therapeutic strategies. Immune biomarkers are a promising field to explore thoroughly.

Use of Antibiotics during Immune Checkpoint Inhibitor Treatment Is Associated with Lower Survival in Hepatocellular Carcinoma

BACKGROUND

Recent studies suggested that use of antibiotics may interfere with treatment responses to immune checkpoint inhibitors (ICIs). We determined whether concurrent use of antibiotics during ICI therapy was associated with adverse outcomes in patients with advanced hepatocellular carcinoma (HCC).

METHODS

This is a territory-wide retrospective cohort study including all advanced HCC patients who received ICIs (nivolumab, pembrolizumab, or ipilimumab) between January 2014 and December 2019. Exclusion criteria included prior liver transplantation and use of cabozantinib, regorafenib, or ramucirumab. The exposure of interest was concurrent antibiotic use within 30 days before or after the commencement of ICI. The adjusted hazard ratio (aHR) of cancer-related mortality and all-cause mortality with antibiotic use was derived by propensity score (PS) matching in 1:2 ratio of covariates including baseline characteristics, causes of cirrhosis, Child-Pugh status, prior HCC treatment, comorbidities, concurrent medications, and laboratory results including alpha fetoprotein.

RESULTS

A total of 395 HCC patients who had received ICIs were included. During a median follow-up of 16.5 months (interquartile range [IQR]: 5.6-44.3), there were 286 (72.4%) deaths including 231 cancer-related deaths. The median time from the first ICI to event was 7.7 months (IQR: 4.0-16.8). PS matching of 56 antibiotic users with 99 nonusers showed that concurrent antibiotic use with ICI was associated with higher cancer-related (aHR: 1.66; 95% CI: 1.08-2.54) and all-cause mortality (aHR: 1.63; 95% CI: 1.17-2.28).

CONCLUSIONS

Concurrent antibiotic use during immunotherapy was associated with higher mortality in patients with advanced HCC. Further studies should examine the role of gut dysbiosis on responses to ICI.

Entecavir vs Tenofovir in Hepatocellular Carcinoma Prevention in Chronic Hepatitis B Infection: A Systematic Review and Meta-Analysis

Entecavir (ETV) and tenofovir disoproxil fumarate (TDF) are recommended as first-line therapies for chronic hepatitis B (CHB) infection. Although both drugs reduce hepatocellular carcinoma (HCC) risk, their comparative effectiveness remains controversial. We aimed to determine whether TDF is superior to ETV in preventing HCC.

Chemopreventive Effect of Metformin on Gastric Cancer Development

Although Helicobacterpylori infection is the most important causative factor for gastric cancer (GC), H. pylori eradication alone does not completely eliminate the GC risk. In addition to H. pylori eradication, other risk factors for GC should be identified and targeted. Diabetes mellitus (DM) confers a 20% increased risk of GC, which could be mediated via several biological mechanisms including the stimulation of cell proliferation via hyperinsulinemia and increased insulin-growth factor production, the promotion of angiogenesis, and DNA damage. With a current global prevalence of 9.3% and a predicted rise to 10.2% by 2030, DM could contribute substantially to the burden of GC cases worldwide. Emerging evidence showed that metformin possesses chemopreventive effects via both direct (e.g., adenosine monophosphate-activated protein kinase activation and subsequent inhibition of the mammalian target of rapamycin pathway) and indirect (e.g., modulation of the interaction between tumor cells and their microenvironment and gut microbiota) pathways. A recent meta-analysis of observational studies showed that metformin use was associated with 24% lower GC risk. However, many available observational studies related to metformin effects suffered from biases including the failure to adjust for the H. pylori infection status and serial glycemic control and time-related biases. Future prospective studies addressing these pitfalls are needed.

Statins associate with better clinical outcomes in chronic hepatitis B patients with HBsAg seroclearance

INTRODUCTION

We aimed to describe long-term clinical outcomes in chronic hepatitis B (CHB) patients after HBsAg seroclearance, and identify factors that modify disease outcomes.

METHODS

CHB patients with HBsAg seroclearance occurring between 1986 and 2017 were recruited. Primary outcome was cirrhosis/hepatocellular carcinoma (HCC), and secondary outcomes were hepatic decompensation, liver-related death/transplantation, and all-cause mortality. Multivariable Cox model included demographics, prior antivirals, comorbidities, drugs (statins, metformin, proton-pump inhibitors, non-selective beta-blockers), and laboratory parameters (platelet, liver function test, prothrombin time, alpha-fetoprotein [AFP], anti-HBs). Statin users were propensity score matched (PSM) with non-users (1:2 ratio) for survival analysis of all outcomes.

RESULTS

Of 913 patients with HBsAg seroclearance (male: 613 [67.1%]; median age: 53.4 years [18.5-87.0]), 129 (14.1%) were statin users. During median follow-up of 7.7 years (up to 29.1 years), 64/833 (7.7%) developed cirrhosis, 25/905 (2.8%) developed HCC, 3/913 (0.3%) underwent transplantation, and 76/913 (8.3%) died. Statins were associated with lower cirrhosis/HCC risk (adjusted hazard ratio [aHR]: 0.44; 95% CI 0.20-0.96; aHR for every 1-year increase in use: 0.85; 95% CI 0.75-0.97). Statin users had no hepatic decompensation or liver-related death/transplantation (vs 18/778 [2.3%] and 18/784 [2.3%] cases in statin non-users, respectively). Statins were also associated with lower all-cause mortality risk (aHR: 0.21; 95% CI 0.08-0.53). PSM yields consistent results for beneficial effects of statins (log-rank p < 0.05 for all outcomes). Other factors for cirrhosis/HCC included increasing age (aHR: 1.06), diabetes (aHR: 2.03), higher creatinine (aHR: 1.008), GGT > 50U/L (aHR: 3.25), and AFP > 9 ng/mL (aHR: 10.14).

CONCLUSION

Patients with HBsAg seroclearance have favorable long-term survival. However, liver-related adverse outcomes still develop, necessitating further investigations on beneficial effects of statins.

Application of Big data scientific research analysis platform in clinical medical research

With the rapid development of evidence-based medicine, translational medicine, and pharmacoeconomics in China, as well as the country’s strong commitment to clinical research, the demand for physicians’ research continues to increase. In recent years, real-world studies are attracting more and more attention in the field of health care, as a method of post-marketing re-evaluation of drugs, RWS can better reflect the effects of drugs in real clinical settings. In the past, it was difficult to ensure data quality and efficiency of research implementation because of the large sample size required and the large amount of medical data involved. However, due to the large sample size required and the large amount of medical data involved, it is not only time-consuming and labor-intensive, but also prone to human error, making it difficult to ensure data quality and efficiency of research implementation. This paper analyzes and summarizes the existing application systems of big data analytics platforms, and concludes that big data research analytics platforms using natural language processing, machine learning and other artificial intelligence technologies can help RWS to quickly complete the collection, integration, processing, statistics and analysis of large amounts of medical data, and deeply mine the intrinsic value of the data, real-world research in new drug development, drug discovery, drug discovery, drug discovery, and drug discovery. It has a broad application prospect for multi-level and multi-angle needs such as economics, medical insurance cost control, indications/contraindications evaluation, and clinical guidance.

Impact of Recreational Cannabis Legalization on Hospitalizations for Hyperemesis

INTRODUCTION

Chronic cannabis use had been associated with hyperemesis. We sought to determine whether cannabis liberalization contributed to increased hospitalizations for hyperemesis.

METHODS

Cannabis use and admissions for hyperemesis in legalized states were compared with those of nonlegalized states, before and after cannabis legalization, using state inpatient databases.

RESULTS

From 2011 to 2015, cannabis use increased 2.2 times in legalized states and 1.8 times in nonlegalized states. The odds of presentation with hyperemesis were higher in 2015 compared with those of 2011 in all states.

DISCUSSION

Recreational legalization may be contributing to rising cannabis use. Hospitalizations for hyperemesis have also increased but did not seem to be solely due to cannabis legalization.

Nonaspirin nonsteroidal anti-inflammatory drugs and gastric cancer risk after Helicobacter pylori eradication: A territory-wide study

BACKGROUND

Despite Helicobacter pylori (HP) eradication, individuals can still develop gastric cancer (GC). Prior studies have demonstrated that nonaspirin nonsteroidal anti-inflammatory drugs (NA-NSAIDs) reduce the risk of GC, but this may be caused by immortal time bias and failure to adjust for HP status. The objective of this study was to investigate whether NA-NSAIDs reduced the risk of GC in patients who undergo H. pylori eradication.

METHODS

Adult patients who had received clarithromycin-based triple therapy between 2003 and 2016 were identified from a territory-wide health care database. Exclusion criteria included prior GC or GC diagnosed <6 months after HP eradication, prior gastrectomy, gastric ulcer after HP eradication, and failure of triple therapy. Covariates included age, sex, prior peptic ulcer disease, other comorbidities, and concurrent medications (aspirin, proton pump inhibitors, statins, and metformin). To avoid immortal time bias, NA-NSAID use (≥90 days) was treated as a time-dependent variable in a multivariable Cox model (time-dependent analysis). Time-independent analysis was also performed.

RESULTS

During a median follow-up of 8.9 years (interquartile range, 5.4-12.6 years), 364 of 92,017 patients (0.4%) who underwent HP eradication developed GC. NA-NSAID use was associated with a significant reduction in the risk of GC in time-fixed analysis (adjusted hazard ratio [aHR], 0.65; 95% CI, 0.47-0.90), but not in time-dependent multivariable analysis (aHR, 1.35; 95% CI, 0.97-1.87). Time-dependent subgroup analyses also did not indicate any significant association between NA-NSAID use and either cardia GC (aHR, 0.75; 95% CI, 0.27-2.06) or noncardia GC (aHR, 1.28; 95% CI, 0.83-1.98).

CONCLUSIONS

NA-NSAID use was not associated with a reduced risk of GC among patients who underwent HP eradication. The chemopreventive effect of NA-NSAIDs observed in prior studies may have been confounded by immortal time bias.

Prognostic significance of serum inflammation indexes in different Lauren classification of gastric cancer

Background

Inflammatory indexes are considered to be potential prognostic biomarkers for patients with gastric cancer (GC). However, little evidence has defined the prognostic significance of inflammatory indexes for GC with different Lauren classification.

Methods

A total of 852 patients with GC were randomly selected consecutively into intestinal type and diffuse/mixed type groups. Group bias was reduced by propensity score matching. The cutoff values of inflammatory indexes were analyzed by receiver operating characteristic curve. The Kaplan–Meier method and log‐rank test were used to analyze the overall survival (OS). The chi‐square test was used to analyze the association between inflammatory indexes and clinical characteristics. The independent risk factor for prognosis in each group was analyzed by univariate and multivariate analyses based on logistic regression. The nomogram models were constructed by R studio.

Results

Intestinal type GC patients (p < 0.05) had a lower percentage of neutrophils in stage I, higher percentage of neutrophils and higher platelet count in stage Ⅲ (p < 0.05). Systemic immune‐inflammation index (SII) (p < 0.001), pTNM stage (p < 0.001), and postoperative chemotherapy (p = 0.002) were independent risk factors for prognosis in the intestinal type group. Platelet–lymphocyte ratio (PLR) (p < 0.001) and pTNM stage (p = 0.001) were independent risk factors for prognosis in the diffuse/mixed type group. The area under the curve of the nomogram model in predicting 5‐year prognosis in the intestinal type group and diffuse/mixed type group were 0.807 and 0.788, respectively.

Conclusion

SII combined with postoperative chemotherapy and pTNM stage were used to construct a nomogram model to predict the prognosis of intestinal type GC. PLR combined with pTNM stage can be used to construct a nomogram model for diffuse/mixed type GC patients.

Acute and Severe Acute Pancreatitis and the Effect of Cannabis in States Before and After Legalization Compared With States Without Legalized Cannabis

OBJECTIVES

Cannabis legalization has increased its use. The incidence of acute pancreatitis (AP) and severe acute pancreatitis (SAP) has also increased. In this study, data on pancreatitis were obtained from 2 states before and after cannabis legalization and compared with 2 states without legalized cannabis.

METHODS

Data were extracted from State Inpatient Databases from the states of Colorado and Washington before recreational cannabis legalization (2011) and after legalization (2015). Arizona and Florida were used as the nonlegalized cannabis states. Multivariable logistic regression models were fit for AP and SAP to determine a trend difference between legalized and nonlegalized cannabis states.

RESULTS

Cannabis use, AP, and SAP increased in all states. The increase in AP and SAP was not significantly different between the states that legalized cannabis use and those that did not. Legalized cannabis states had lower charges for AP and SAP and shorter length of hospitalizations.

CONCLUSIONS

The trend of AP and SAP increased during the study period, but this was not correlated to cannabis use. Cannabis users had lower hospitalization costs and hospital stay. The effects of other confounders such as cannabis dose and delivery methods, alcohol, tobacco, and others need to be studied further as use increases.

Calcium channel blockers are associated with lower gastric cancer risk: A territory-wide study with propensity score analysis

Prior studies showed that calcium channel blockers (CCBs) could modify cancer risk, but data on gastric cancer (GC) are limited. We aimed to investigate whether CCBs could modify GC risk in Helicobacter pylori-eradicated patients. H pylori-infected patients with hypertension who are aged ≥50 and had received clarithromycin-based triple therapy between 2003 and 2016 were identified from a territory-wide healthcare database. Patients with eradication failure, GC diagnosed within 6 months after HP eradication, and gastric ulcer were excluded. Time-fixed Cox model with one-to-one propensity score matching was used to calculate hazard ratio (HR) of GC with CCBs. Sensitivity analysis using time-dependent multivariable Cox model in which CCB use was treated as time-varying covariate was also performed to address immortal time bias. 17 622 (29.6%) H pylori-eradicated patients with hypertension were included. During a median follow-up of 8.6 years, 105 (0.6%) developed GC. After PS matching, CCBs were associated with a lower GC risk (HR: 0.56; 95% CI: 0.32-0.97). Time-dependent analysis showed consistent result (aHR: 0.50; 95% CI: 0.33-0.75). A longer duration of CCB use was associated with even lower GC risk (adjusted HR [aHR]: 0.69; 95% CI: 0.61-0.79 for every 1-year increase in use). Long-acting CCBs (aHR: 0.47; 95% CI: 0.29-0.76) and dihydropyridines (aHR: 0.49; 95% CI: 0.32-0.73) conferred greater benefit than short-acting ones (aHR: 0.60; 95% CI: 0.36-1.03) and nondihydropyridines (aHR: 0.76; 95% CI: 0.24-2.48). The aHR was 0.57 (95% CI: 0.34-0.97) for noncardia and 0.59 (95% CI: 0.27-1.31) for cardia cancer. Use of CCBs was associated with lower risk of GC development in H pylori-eradicated patients, in a duration- and dose-response manner.

Big Data and the Little Big Bang: An Epistemological (R)evolution

Starting from an analysis of frequently employed definitions of big data, it will be argued that, to overcome the intrinsic weaknesses of big data, it is more appropriate to define the object in relational terms. The excessive emphasis on volume and technological aspects of big data, derived from their current definitions, combined with neglected epistemological issues gave birth to an objectivistic rhetoric surrounding big data as implicitly neutral, omni-comprehensive, and theory-free. This rhetoric contradicts the empirical reality that embraces big data: (1) data collection is not neutral nor objective; (2) exhaustivity is a mathematical limit; and (3) interpretation and knowledge production remain both theoretically informed and subjective. Addressing these issues, big data will be interpreted as a methodological revolution carried over by evolutionary processes in technology and epistemology. By distinguishing between forms of nominal and actual access, we claim that big data promoted a new digital divide changing stakeholders, gatekeepers, and the basic rules of knowledge discovery by radically shaping the power dynamics involved in the processes of production and analysis of data.

ACE (Angiotensin-Converting Enzyme) Inhibitors/Angiotensin Receptor Blockers Are Associated With Lower Colorectal Cancer Risk: A Territory-Wide Study With Propensity Score Analysis

Whether ACE (angiotensin-converting enzyme) inhibitors and angiotensin receptor blockers modify colorectal cancer risk remains controversial. We aimed to determine association between their use and colorectal cancer risk after a negative baseline colonoscopy. This is a territory-wide retrospective cohort study recruiting patients aged ≥40 who had undergone colonoscopy between 2005 and 2013. Exclusion criteria included colorectal cancer detected <6 months of index colonoscopy, prior colorectal cancer, inflammatory bowel disease, and prior colectomy. The primary outcome was colorectal cancer diagnosed between 6 and 36 months after index colonoscopy. Sites of colorectal cancer were categorized as proximal (proximal to splenic flexure) and distal cancer. The adjusted hazard ratio of colorectal cancer with ACE inhibitor/angiotensin receptor blocker use (≥180-day use within 5 years before index colonoscopy) was derived by propensity score regression adjustment of 23 covariates (including patient's factors, concurrent medication use, and endoscopy center's performance). Of 187 897 eligible patients, 30 856 (16.4%) were ACE inhibitors/angiotensin receptor blocker users. Eight hundred fifty-four (0.45%) developed colorectal cancer between 6 and 36 months after index colonoscopy (proximal cancer: 147 [17.2%]). These drugs were associated with lower risk of colorectal cancer that developed <3 years after index colonoscopy (adjusted hazard ratio, 0.78 [95% CI, 0.64-0.96]), but not colorectal cancer that developed >3years (adjusted hazard ratio, 1.18 [95% CI, 0.88-1.57]); every single year increase in the drug use was associated with 5% reduction in adjusted hazard ratio risk. ACE inhibitors/angiotensin receptor blocker were associated with a lower colorectal cancer risk in a duration-response manner.

Nonsteroidal anti-inflammatory drugs but not aspirin are associated with a lower risk of post-colonoscopy colorectal cancer

BACKGROUND

Although nonsteroidal anti-inflammatory drugs (NSAIDs) reduce colorectal cancer (CRC) risk, their role in preventing post-colonoscopy CRC (PCCRC) remains undetermined.

AIMS

To investigate whether NSAIDs reduce PCCRC risk after a negative baseline colonoscopy METHODS: This is a retrospective cohort study based on a territory-wide healthcare database of Hong Kong. All patients (aged 40 or above) who underwent colonoscopies between 2005 and 2013 were identified. Exclusion criteria included CRC detected within 6 months of index colonoscopy, prior CRC, inflammatory bowel disease and prior colectomy. The primary outcome was PCCRC-3y diagnosed between 6 and 36 months after index colonoscopy. Sites of CRC were categorised as proximal (proximal to splenic flexure) and distal. The adjusted hazards ratio (aHR) of PCCRC-3y with NSAID and aspirin use (defined as cumulative use for ≥90 days within 5 years before index colonoscopy) was derived by propensity score (PS) regression adjustment of 22 covariates (including patient factors, concurrent medication use and endoscopy centre's performance).

RESULTS

Of 187 897 eligible patients, 21 757 (11.6%) were NSAID users. 854 (0.45%) developed PCCRC-3y (proximal cancer: 147 [17.2%]). NSAIDs were associated with a lower PCCRC-3y risk (aHR: 0.54, 95% CI: 0.41-0.70), but not CRC that developed >3 years (aHR: 0.78, 95% CI 0.56-1.09). The aHR was 0.48 (95% CI: 0.24-0.95) for proximal and 0.55 (95% CI: 0.40-0.74) for distal cancer. A duration- and frequency response relationship was observed (P_trend  < 0.001). For aspirin, the aHR was 1.01 (95% CI: 0.80-1.28).

CONCLUSIONS

Non-aspirin NSAIDs were associated with lower PCCRC risk after a negative baseline colonoscopy.