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Background: Endoscopic submucosal dissection (ESD) is a widely accepted treatment for patients with mucosa (T1a) disease without lymph node metastasis. However, the inconsistency of inspection quality of tumor staging under the standard tool combining endoscopic ultrasound (EUS) with computed tomography (CT) scanning makes it restrictive. Methods: We conducted a study using data augmentation and artificial intelligence (AI) to address the early gastric cancer (EGC) staging problem. The proposed AI model simplifies early cancer treatment by eliminating the need for ultrasound or other staging methods. We developed an AI model utilizing data augmentation and the You-Only-Look-Once (YOLO) approach. We collected a white-light image dataset of 351 stage T1a and 542 T1b images to build, test, and validate the model. An external white-light images dataset that consists of 47 T1a and 9 T1b images was then collected to validate our AI model. The result of the external dataset validation indicated that our model also applies to other peer health institutes. Results: The results of k-fold cross-validation using the original dataset demonstrated that the proposed model had a sensitivity of 85.08% and an average specificity of 87.17%. Additionally, the k-fold cross-validation model had an average accuracy rate of 86.18%; the external data set demonstrated similar validation results with a sensitivity of 82.98%, a specificity of 77.78%, and an overall accuracy of 82.14%. Conclusions: Our findings suggest that the AI model can effectively replace EUS and CT in early GC staging, with an average validation accuracy rate of 86.18% for the original dataset from Linkou Cheng Gun Memorial Hospital and 82.14% for the external validation dataset from Kaohsiung Cheng Gun Memorial Hospital. Moreover, our AI model's accuracy rate outperformed the average EUS and CT rates in previous literature (around 70%).
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Purpose: The study aims to evaluate the efficacy of peripheral blood inflammatory markers as clinical predictors for gastric intestinal metaplasia (IM), a known precursor to gastric cancer. This research investigates the potential of these markers to serve as reliable indicators for detecting gastric IM. Methods: A retrospective cohort study was conducted on 59,143 individuals who underwent checkups at the Taoyuan Chang Gung Memorial Hospital Health Clinic Center from 2010 to 2014. Of these, 11,355 subjects who received gastroscopic biopsies were recruited. After omitting cases with incomplete blood data, the sample was narrowed to 10,380 participants. After exclusion and propensity score matching, subjects in the group with IM and control patients without IM were balanced and included in the study. These subjects were stratified by gender and age, and predictors such as the Systemic Inflammation Response Index (SIRI), Systemic Immune Inflammation Index (SII), and Monocyte-to-Lymphocyte Ratio (MLR) were evaluated. Multivariate logistic regression models were employed to analyze the presence or absence of IM accurately. Results: Out of the 10,380 subjects, 2,088 (20.1%) were diagnosed with IM, while 8,292 (79.9%) did not have IM. In our analysis, inflammation indices were found to have a limited impact on younger patients. For middle-aged and elderly individuals, SII showed statistical significance for predicting IM in males (p=0.0019), while SIRI and MLR were significant for females (SIRI p=0.0001, MLR p=0.0009). Additionally, the Area Under the Curve (AUC) value indicated that inflammation indices were more influential in females (55.1%) than males. Conclusions: The study results reveal that peripheral blood inflammatory markers could be useful in predicting gastric mucosal metaplasia changes, particularly in middle-aged and elderly populations. Although the markers' predictive power varies with gender, they represent a significant step forward in the non-invasive detection of gastric IM. This could aid in the early identification and management of precancerous conditions.
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In this study, we implemented a combination of data augmentation and artificial intelligence (AI) model-Convolutional Neural Network (CNN)-to help physicians classify colonic polyps into traditional adenoma (TA), sessile serrated adenoma (SSA), and hyperplastic polyp (HP). We collected ordinary endoscopy images under both white and NBI lights. Under white light, we collected 257 images of HP, 423 images of SSA, and 60 images of TA. Under NBI light, were collected 238 images of HP, 284 images of SSA, and 71 images of TA. We implemented the CNN-based artificial intelligence model, Inception V4, to build a classification model for the types of colon polyps. Our final AI classification model with data augmentation process is constructed only with white light images. Our classification prediction accuracy of colon polyp type is 94%, and the discriminability of the model (area under the curve) was 98%. Thus, we can conclude that our model can help physicians distinguish between TA, SSA, and HPs and correctly identify precancerous lesions such as TA and SSA.
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Adenoma , Polyps , Humans , Artificial Intelligence , Endoscopy , Neural Networks, Computer , Adenoma/diagnostic imagingABSTRACT
BACKGROUND AND AIM: Colonoscopy is a useful method for the diagnosis and management of colorectal diseases. Many computer-aided systems have been developed to assist clinicians in detecting colorectal lesions by analyzing colonoscopy images. However, fisheye-lens distortion and light reflection in colonoscopy images can substantially affect the clarity of these images and their utility in detecting polyps. This study proposed a two-stage deep-learning model to correct distortion and reflections in colonoscopy images and thus facilitate polyp detection. METHODS: Images were collected from the PolypSet dataset, the Kvasir-SEG dataset, and one medical center's patient archiving and communication system. The training, validation, and testing datasets comprised 808, 202, and 1100 images, respectively. The first stage involved the correction of fisheye-related distortion in colonoscopy images and polyp detection, which was performed using a convolutional neural network. The second stage involved the use of generative and adversarial networks for correcting reflective colonoscopy images before the convolutional neural network was used for polyp detection. RESULTS: The model had higher accuracy when it was validated using corrected images than when it was validated using uncorrected images (96.8% vs 90.8%, P < 0.001). The model's accuracy in detecting polyps in the Kvasir-SEG dataset reached 96%, and the area under the receiver operating characteristic curve was 0.94. CONCLUSION: The proposed model can facilitate the clinical diagnosis of colorectal polyps and improve the quality of colonoscopy.
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Colonic Polyps , Colorectal Neoplasms , Deep Learning , Humans , Colonic Polyps/diagnostic imaging , Colonic Polyps/pathology , Colonoscopy/methods , Neural Networks, Computer , Colorectal Neoplasms/pathologyABSTRACT
The role of adjuvant chemotherapy in pathological T3N0M0 (pT3N0M0) gastric cancer (GC) remains unclear. The aim of this study was to analyze the prognostic factors of patients with pT3N0M0 GC and to clarify which ones could benefit from adjuvant chemotherapy. A total of 137 patients with pT3N0M0 GC were recruited between 1994 and 2020. Clinicopathological factors and adjuvant chemotherapy regimens were retrospectively collected. Prognostic factors of disease-free survival (DFS) and cancer-specific survival (CSS) were determined using univariate and multivariate analyses. The chemotherapy group was younger (p = 0.012), had had more lymph nodes retrieved (p = 0.042) and had higher percentages of vascular invasion (p = 0.021) or perineural invasion (p = 0.030) than the non-chemotherapy group. There were no significant differences in DFS (p = 0.222) and CSS (p = 0.126) between patients treated with or without adjuvant chemotherapy. Stump cancer, tumor size and perineural invasion were associated with higher rates of recurrence. Tumor size was an independent prognostic factor for DFS (hazard ratio, 4.55; confidence interval, 1.59-12.99; p = 0.005) and CSS (hazard ratio, 3.97; confidence interval, 1.38-11.43; p = 0.011). Tumor size independently influenced survival outcomes in pT3N0M0 patients who underwent radical surgery with and without adjuvant chemotherapy.
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BACKGROUND/AIMS: The implications of extracellular nicotinamide phosphoribosyltransferase (eNAMPT), a cancer metabokine, in colonic polyps remain uncertain. METHODS: A 2-year prospective cohort study of patients who underwent colonoscopy was conducted. Biochemical parameters and serum eNAMPT levels were analyzed at baseline and every 24 weeks postpolypectomy. NAMPT-associated single-nucleotide polymorphisms (SNPs), including rs61330082, rs2302559, rs10953502, and rs23058539, were assayed. RESULTS: Of 532 patients, 80 (15%) had prominent malignant potential (PMP) in colonic polyps, including villous adenomas (n = 18, 3.3%), adenomas with high-grade dysplasia (n = 33, 6.2%), and adenocarcinomas (n = 29, 5.5%). Baseline associations were as follows: colonic polyp pathology (p < 0.001), total cholesterol (p = 0.019), and neutrophil-to-lymphocyte ratio (p = 0.023) with eNAMPT levels; and age (p < 0.001), polyp size (p < 0.001), and eNAMPT levels (p < 0.001) with polyp pathology. Higher baseline eNAMPT levels were noted in patients harboring polyps with PMP than in patients without PMP (p < 0.001), and baseline eNAMPT levels significantly predicted PMP (cutoff: >4.238 ng/mL, p < 0.001). Proportions of eNAMPT-positive glandular and stromal cells were higher in polyps with PMP than in polyps without PMP (64.55 ± 11.94 vs. 14.82 ± 11.45%, p = 0.025). eNAMPT levels decreased within 48 weeks postpolypectomy (p = 0.01) and remained stable afterward regardless of PMP until 96 weeks postpolypectomy. However, those with PMP had a higher degree of eNAMPT decline within 24 weeks (p = 0.046). All investigated SNPs were in linkage disequilibrium with each other but were not associated with eNAMPT levels. CONCLUSION: With a link to inflammation and lipid metabolism, along with its decreasing trend after polypectomy, serum eNAMPT may serve as a surrogate marker of PMP in colonic polyps. In situ probing of the NAMPT-associated pathway holds promise in attenuating PMP, as much of the eNAMPT likely originates from colonic polyps.
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Colonoscopy is a valuable tool for preventing and reducing the incidence and mortality of colorectal cancer. Although several computer-aided colorectal polyp detection and diagnosis systems have been proposed for clinical application, many remain susceptible to interference problems, including low image clarity, unevenness, and low accuracy for the analysis of dynamic images; these drawbacks affect the robustness and practicality of these systems. This study proposed an intraprocedure alert system for colonoscopy examination developed on the basis of deep learning. The proposed system features blurred image detection, foreign body detection, and polyp detection modules facilitated by convolutional neural networks. The training and validation datasets included high-quality images and low-quality images, including blurred images and those containing folds, fecal matter, and opaque water. For the detection of blurred images and images containing folds, fecal matter, and opaque water, the accuracy rate was 96.2%. Furthermore, the study results indicated a per-polyp detection accuracy of 100% when the system was applied to video images. The recall rates for high-quality image frames and polyp image frames were 95.7% and 92%, respectively. The overall alert accuracy rate and the false-positive rate of low quality for video images obtained through per-frame analysis were 95.3% and 0.18%, respectively. The proposed system can be used to alert colonoscopists to the need to slow their procedural speed or to perform flush or lumen inflation in cases where the colonoscope is being moved too rapidly, where fecal residue is present in the intestinal tract, or where the colon has been inadequately distended.
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Artificial Intelligence , Colonic Polyps , Humans , Colonic Polyps/diagnostic imaging , Colonoscopy/methods , Neural Networks, Computer , ColonABSTRACT
The prognostic significance of perineural invasion in patients with gastric cancer (GC) is controversial. This study aimed to determine the prognostic value of perineural invasion in patients with stage II/III GC undergoing radical surgery. A total of 1913 patients with stage II/III GC who underwent curative resection between 1994 and 2015 were recruited. Clinicopathological factors, tumor recurrence patterns, disease-free survival, and cancer-specific survival were compared in terms of perineural invasion. The prognostic factors of disease-free survival and cancer-specific survival were determined using univariate and multivariate analyses. Perineural invasion was found in 57.1% of the patients. Age of <65 years, female sex, large tumor size, upper tumor location, total gastrectomy, advanced tumor invasion depth and nodal involvement, greater metastatic to examined lymph node ratio, undifferentiated tumor, and presence of lymphatic or vascular invasion were significantly associated with perineural invasion. The patients with perineural invasion had higher locoregional/peritoneal recurrence rates than those without. Perineural invasion was independently associated with disease-free survival and cancer-specific survival. In conclusion, perineural invasion positivity is associated with aggressive tumor behaviors and higher locoregional/peritoneal recurrence rates in patients with stage II/III GC undergoing curative surgery. It is an independent unfavorable prognostic factor of disease recurrence and cancer-specific survival.
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BACKGROUND: Caustic ingestion has gained increasing attention worldwide. However, the insight into whether to use esophagogastroduodenoscopy (EGD) or computed tomography (CT) for first-line investigation remains controversial. This study aimed to evaluate a diagnostic and management algorithm that combines EGD and CT for rapid triage. METHODS: We established an algorithm for our hospital in 2013, aiming to maximize the benefits and minimize the limitations of EGD and CT. Then, we retrospectively analyzed the 163 enrolled patients treated between 2014 and 2019 and categorized them into 4 groups: A = 3 (1.8%): with perforation signs and directly confirmed by CT, B = 10 (6.1%): clinically suspected perforation but not initially proven by CT, C = 91 (55.8%): initial perforation less favored but with EGD grade ≥ 2b or GI/systemic complications, and D = 59 (36.2%): clinically stable with EGD grade ≤ 2a, according to initial signs/symptoms and EGD/CT grading. The morbidity and mortality of each group were analyzed. The predictive values of EGD and CT were examined by logistic regression analyses and receiver operating characteristic (ROC) curves. RESULTS: The outcomes of such algorithm were reported. CT was imperative for patients with toxic signs and suspected perforation. For non-emergent operations, additional EGD was safe and helpful in identifying surgical necessity. For patients with an initially low perforation risk, EGD alone sufficiently determined admission necessity. Among inpatients, EGD provided excellent discrimination for predicting the risk for signs/symptoms' deterioration. Routine additional CT was only beneficial for those with deteriorating signs/symptoms. CONCLUSIONS: According to the analyses, initial signs/symptoms help to choose EGD or CT as the first-line investigative tool in caustic patients. CT is necessary for seriously injured patients, but it cannot replace EGD for moderate/mild injuries. The severity stratification and patient categorization help to simplify complex scenarios, accelerate decision-making, and prevent unnecessary intervention/therapy. External validation in a larger sample size is further indicated for this algorithm.
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The survival benefits of conversion surgery in patients with metastatic gastric cancer (mGC) remain unclear. Thus, this study aimed to determine the outcomes of conversion surgery compared to in-front surgery plus palliative chemotherapy (PCT) or in-front surgery alone for mGC. We recruited 182 consecutive patients with mGC who underwent gastrectomy, including conversion surgery, in-front surgery plus PCT, and in-front surgery alone at Linkou Chang Gung Memorial Hospital from 2011 to 2019. The tumor was staged according to the 8th edition of the American Joint Committee on Cancer. Patient demographics and clinicopathological factors were assessed. Overall survival (OS) was evaluated using the Kaplan−Meier curve and compared among groups. Conversion surgery showed a significantly longer median OS than in-front surgery plus PCT or in-front surgery alone (23.4 vs. 13.7 vs. 5.6 months; log rank p < 0.0001). The median OS of patients with downstaging (pathological stage I−III) was longer than that of patients without downstaging (stage IV) (30.9 vs. 18.0 months; p = 0.016). Our study shows that conversion surgery is associated with survival benefits compared to in-front surgery plus PCT or in-front surgery alone in patients with mGC. Patients who underwent conversion surgery with downstaging had a better prognosis than those without downstaging.
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Colorectal cancer is the leading cause of cancer-related deaths worldwide, and early detection has proven to be an effective method for reducing mortality. The machine learning method can be implemented to build a noninvasive stratifying tool that helps identify patients with potential colorectal precancerous lesions (polyps). This study aimed to develop a noninvasive risk-stratified tool for colorectal polyps in asymptomatic, healthy participants. A total of 20,129 consecutive asymptomatic patients who underwent a health checkup between January 2005 and August 2007 were recruited. Positive relationships between noninvasive risk factors, such as age, Helicobacter pylori infection, hypertension, gallbladder polyps/stone, and BMI and colorectal polyps were observed (p < 0.0001), regardless of sex, whereas significant findings were noted in men with tooth disease (p = 0.0053). A risk stratification tool was developed, for colorectal polyps, that considers annual checkup results from noninvasive examinations. For the noninvasive stratified tool, the area under the receiver operating characteristic curve (AUC) of obese females (males) aged <50 years was 91% (83%). In elderly patients (>50 years old), the AUCs of the stratifying tools were >85%. Our results indicate that the risk stratification tool can be built by using random forest and serve as an efficient noninvasive tool to identify patients requiring colonoscopy.
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INTRODUCTION: Study of inflammatory cytokines in patients with caustic gastrointestinal tract injury is sketchy. This study investigated the cytokine profiling of patients with caustic substance ingestion, and analyzed the differences between patients with severe and mild injury. METHODS: This prospective, cross-sectional study enrolled 22 patients admitted to Chang Gung Memorial Hospital between March and October 2018. All patients underwent esophagogastroduodenoscopy in 24 hours. Patients were categorized into two subgroups, as mild (<2b, n = 11) or severe (≥2b, n = 11) group. RESULTS: The neutrophil count was higher in severe than mild group (P = 0.032). Patients in mild and severe groups exhibited significantly higher circulating inflammatory cytokines than healthy control, including interleukin (IL)-2, IL-5, IL-8, IL-9, IL-12, IL-13, interferon-gamma inducible protein-10, macrophage inflammatory protein-1 beta, regulated upon activation, normal T cell expressed and presumably secreted and tumor necrosis factor-alpha. Furthermore, the levels of IL-2 and tumor necrosis factor-alpha were significantly higher in patients with severe group than mild group. Although there was no difference in cumulative survival between both groups (P = 0.147), the severe group received more operations (P = 0.035) and suffered more gastrointestinal complications (P = 0.035) than mild group. CONCLUSION: Caustic substance ingestion produces mucosal damages and leads to excessive neutrophils and inflammatory cytokines in peripheral blood.
Subject(s)
Cytokines/analysis , Gastrointestinal Tract/immunology , Gastrointestinal Tract/injuries , Abdominal Injuries , Adult , Aged , Aged, 80 and over , Burns, Chemical/genetics , Burns, Chemical/immunology , Caustics/toxicity , Cross-Sectional Studies , Cytokines/blood , Female , Humans , Interleukins/analysis , Interleukins/blood , Leukocyte Count/methods , Male , Middle Aged , Neutrophils/metabolism , Prospective Studies , Taiwan , Thoracic Injuries , Tumor Necrosis Factor-alpha/analysis , Tumor Necrosis Factor-alpha/bloodABSTRACT
Colonoscopy screening and colonoscopic polypectomy can decrease the incidence and mortality rate of colorectal cancer (CRC). The adenoma detection rate and accuracy of diagnosis of colorectal polyp which vary in different experienced endoscopists have impact on the colonoscopy protection effect of CRC. The work proposed a colorectal polyp image detection and classification system through grayscale images and deep learning. The system collected the data of CVC-Clinic and 1000 colorectal polyp images of Linkou Chang Gung Medical Hospital. The red-green-blue (RGB) images were transformed to 0 to 255 grayscale images. Polyp detection and classification were performed by convolutional neural network (CNN) model. Data for polyp detection was divided into five groups and tested by 5-fold validation. The accuracy of polyp detection was 95.1% for grayscale images which is higher than 94.1% for RGB and narrow-band images. The diagnostic accuracy, precision and recall rates were 82.8%, 82.5% and 95.2% for narrow-band images, respectively. The experimental results show that grayscale images achieve an equivalent or even higher accuracy of polyp detection than RGB images for lightweight computation. It is also found that the accuracy of polyp detection and classification is dramatically decrease when the size of polyp images small than 1600 pixels. It is recommended that clinicians could adjust the distance between the lens and polyps appropriately to enhance the system performance when conducting computer-assisted colorectal polyp analysis.
Subject(s)
Colonic Polyps , Colorectal Neoplasms , Deep Learning , Colonic Polyps/diagnostic imaging , Colonoscopy , Colorectal Neoplasms/diagnostic imaging , Humans , Neural Networks, ComputerABSTRACT
BACKGROUND: To comprehensively analyze the risk factors, clinical characteristics, outcomes, and prognostic factors of Cytomegalovirus (CMV) enteritis. METHODS: This retrospective cohort study enrolled patients who had undergone pathological examinations for CMV enteritis. They were divided into CMV and non-CMV groups according to immunohistochemistry staining results. The risk factors, clinical presentations, endoscopic features, treatments, outcomes, and prognostic factors of CMV enteritis were then analyzed. RESULTS: Forty-two patients (18 CMV, 24 non-CMV group) were included in the study. Major clinical presentations in the CMV group included gastrointestinal bleeding (72.2%), abdominal pain (55.6%), and fever (33.3%); ulcers (72.2%) were the most common endoscopic findings. In-hospital and overall mortality rates were 27.8% and 38.9%, respectively; and longer hospital stays and higher overall mortality rates were observed. Radiotherapy and C-reactive protein levels were prognostic factors for in-hospital mortality. The risk factors for CMV enteritis included immunocompromised status (p = 0.013), steroid use (p = 0.014), shock (p = 0.031), concurrent pneumonia (p = 0.01), antibiotic exposure (p < 0.001), radiotherapy (p = 0.027), chronic kidney disease (p = 0.041), and CMV colitis (p = 0.031). CONCLUSIONS: Physicians should pay attention to the characteristics of CMV enteritis in high-risk patients to make an early diagnosis and potentially improve the clinical outcome.
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Whether gastric adenocarcinoma (GC) patients with adjacent organ invasion (T4b) benefit from aggressive surgery involving pancreatic resection (PR) remains unclear. This study aimed to clarify the impact of PR on survival in patients with locally advanced resectable GC. Between 1995 and 2017, patients with locally advanced GC undergoing radical-intent gastrectomy with and without PR were enrolled and stratified into four groups: group 1 (G1), pT4b without pancreatic resection (PR); group 2 (G2), pT4b with PR; group 3 (G3), positive duodenal margins without Whipple's operation; and group 4 (G4), cT4b with Whipple's operation. Demographics, clinicopathological features, and outcomes were compared between G1 and G2 and G3 and G4. G2 patients were more likely to have perineural invasion than G1 patients (80.6% vs. 50%, p < 0.001). G4 patients had higher lymph node yield (40.8 vs. 31.3, p = 0.002), lower nodal status (p = 0.029), lower lymph node ratios (0.20 vs. 0.48, p < 0.0001) and higher complication rates (45.2% vs. 26.3%, p = 0.047) than G3 patients. The 5-year disease-free survival (DFS) and overall survival (OS) rates were significantly longer in G1 than in G2 (28.1% vs. 9.3%, p = 0.003; 32% vs. 13%, p = 0.004, respectively). The 5-year survival rates did not differ between G4 and G3 (DFS: 14% vs. 14.4%, p = 0.384; OS: 12.6% vs. 16.4%, p = 0.321, respectively). In conclusion, patients with T4b lesion who underwent PR had poorer survival than those who underwent resection of other adjacent organs. Further Whipple's operation did not improve survival in pT3-pT4 GC with positive duodenal margins.
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INTRODUCTION: Caustic substance ingestion is frequently life-threatening, and its pathological mechanisms of tissue damage are well documented. However, few studies have assessed the combined effects of pH and the ingested dose on patient outcomes. Additionally, the miscellaneous chemical properties are not immediately available for providing predictive insights to physicians. This study aimed to provide a new perspective of the risk assessment of caustic substance ingestion based on the pH and dose. METHODS: The retrospective study analyzed adults treated for caustic substance ingestion at Chang Gung Memorial Hospital between January 1999 and December 2018. Uniformly strict inclusion/exclusion criteria and a double-checked process during chart review were adopted. All patients underwent urgent esophagogastroduodenoscopy (EGD) within 24 h. Caustic mucosal damage was graded using Zargar's modified endoscopic classification. The pH and ingested dose of caustic substances were clearly recorded. Statistical analyses were conducted using IBM SPSS, version 22. RESULTS: Based on the 468 enrolled cases, the pH and dose were valuable predictors of the extent of gastrointestinal tract injury, commonly encountered complications, and long-term overall survival outcomes. Risks of mortality and perforation were dose-dependent for acids and pH-dependent for alkalis. The severe EGD findings (grade ≥ 2b) in this study were pH-dependent for both substances and additionally dose-dependent for acids. CONCLUSION: Combining pH and dose, we proposed a new perspective for the risk assessment of caustic substance ingestion. Such findings may provide predictive insights for resolving clinical uncertainty before the availability of examination results. "Large doses of acids" and "high pH of alkalis" deserve special attention. This new perspective with a retrospective nature requires further validation.
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Burns, Chemical/etiology , Burns, Chemical/physiopathology , Caustics/adverse effects , Gastrointestinal Tract/injuries , Hydrogen-Ion Concentration , Adolescent , Adult , Aged , Aged, 80 and over , Female , Humans , Male , Middle Aged , Retrospective Studies , Risk Assessment , Taiwan , Young AdultABSTRACT
The prevalence of peptic ulcer diseases has decreased over the past decades. The contribution of Helicobacter pylori to these changes has not been clearly delineated. Two cohorts of patients receiving esophagogastroduodenoscopy examination together with urease test were enrolled, 1 from year 2001 (nâ¯=â¯1030), the other from year 2019 (nâ¯=â¯600). The prevalence changes of peptic ulcer diseases as well as the associated clinical factors were analyzed. An independent cohort of gastric biopsy samples (nâ¯=â¯151) positive for H. pylori were retrieved for ureC gene genotype analysis. Comparison between the patients recruited from 2001 and 2019 revealed significant decrease in H. pylori infection (P < 0.001), duodenal ulcer prevalence (P < 0.001) and gastric ulcer prevalence (P < 0.001). Multivariate analysis showed that the decreases of these factors were independent (adjusted P < 0.001 for all). Intriguingly, in H. pylori positive patients, the prevalence of duodenal ulcer still decreased with year (P < 0.001), which was not found in gastric ulcer (Pâ¯=â¯0.345). Genetic analysis of H. pylori urease gene showed that MboI-restriction fragment length polymorphism-defined genotype 3 UreC was significantly more prevalent in gastric ulcer patients than in others (Pâ¯=â¯0.022). Independent decreases of H. pylori infection, gastric ulcer and duodenal ulcer over decades were found. In H. pylori positive patients, duodenal ulcer prevalence decreased overtime while gastric ulcer prevalence remained unchanged. Gastric ulcer/cancer had a higher prevalence of MboI-defined genotype 3 UreC gene.
Subject(s)
Helicobacter Infections/epidemiology , Helicobacter pylori/genetics , Peptic Ulcer/epidemiology , Peptic Ulcer/microbiology , Adult , Aged , Deoxyribonucleases, Type II Site-Specific , Duodenal Ulcer/drug therapy , Duodenal Ulcer/epidemiology , Duodenal Ulcer/microbiology , Female , Genotype , Helicobacter Infections/microbiology , Helicobacter pylori/enzymology , Humans , Male , Middle Aged , Peptic Ulcer/drug therapy , Polymorphism, Restriction Fragment Length , Proton Pump Inhibitors/therapeutic use , Stomach Ulcer/drug therapy , Stomach Ulcer/epidemiology , Stomach Ulcer/microbiology , Urease/geneticsABSTRACT
PURPOSE: High prevalence of psychiatric comorbidities (PCs) has been widely documented in caustic substance ingestion cases. However, their effect on the clinical features and prognostic outcomes remains unclear due to the paucity of discussion. We report on detailed clinical courses with long-term multifaceted outcomes and review the association between caustic ingestion and each specific PC. PATIENTS AND METHODS: The retrospective chart review included 396 adults (median follow-up, 16.6 months) with and 377 without (control group) PCs treated between 1999 and 2018 at Chang Gung Memorial Hospital. All PCs were diagnosed/confirmed by psychiatrists through face-to-face interviews. RESULTS: The PCs predicted serious esophagogastroduodenoscopy grading, higher rates of admission/surgery/intensive care unit stay, increments of systemic/gastrointestinal complications, and poorer 5-year overall survival rates. The poor survival among patients with PCs was highly consistent with their baseline characteristics. Significantly advanced age, more non-PCs, alcoholism, illicit drug abuse, and baseline unhealthy status resulted in statistically higher risks of severe complications and limited recovery. CONCLUSION: PCs changed clinical patterns and had critical roles in the survival outcomes of caustic injury victims. Clinical awareness achieves benefit by limiting injuries in mild cases or allowing emergent interventions in severe cases. Future studies based on worldwide populations are essential for realizing geographic differences.
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Studies have shown the anticancer effects of metformin in vitro. However, whether metformin can prevent cancer recurrence or prolong survival in patients with gastric cancer (GC) and diabetes mellitus (DM) post-gastrectomy remains unknown. We evaluated the beneficial effects of metformin in patients with GC and DM post-gastrectomy. We recruited 2400 patients with GC (1749 without DM, 651 with DM) who underwent surgery between 1997 and 2010. Patients with DM were stratified into metformin (group 1) and non-metformin (group 2) users. Their clinicopathological data were recorded prospectively, and demographics, recurrence-free survival (RFS), and cancer-specific survival (CSS) were compared. Tumour recurrence risk and cause of death were analysed between groups 1 and 2 among patients with DM stratified by tumour stage. We also compared RFS and overall survival among patients with and without DM. Tumour recurrence occurred in 201 patients with GC: 57 (25%) in group 1 and 144 (37%) in group 2. After adjusting for confounders, metformin significantly prolonged CSS (hazard ratio (HR) = 0.54, 95% confidence interval (CI) = 0.38-0.77) in patients with stage I-III GC and DM. In subgroup analysis, metformin users with stage III GC and DM had significantly prolonged CSS compared to non-metformin users (HR = 0.45, 95% CI = 0.30-0.68), with an insignificant difference in patients with stage I-II GC. Adjusted HRs for RFS and CSS were significantly lower in patients with stage I-III GC and DM than those in patients without DM (0.67 (95% CI = 0.54-0.92) and 0.62 (95% CI = 0.50-0.77), respectively), with an insignificant difference in patients with stage I GC. Metformin significantly reduces tumour recurrence risk and improves CSS in patients with stage III GC and DM post-gastrectomy. Further prospective studies may confirm the efficacy of metformin as an adjunctive treatment for advanced GC postoperatively.
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BACKGROUND: The Japan narrow-band imaging Expert Team (JNET) classification of colorectal polyps based on magnifying endoscopy is used in Japan, but not worldwide. The objective of this study was to clarify differences of diagnostic accuracy between JNET users in Japan and non-JNET users in other countries. METHODS: A total of 185 colorectal tumors were assessed. Six endoscopists (3 each from Japan and Taiwan) participated in the study. The Japanese endoscopists normally used the JNET classification and the Taiwanese endoscopists normally used the narrow-band imaging International Colorectal Endoscopic classification for diagnosis of colorectal tumors. After receiving a lecture on the JNET classification, they all observed one blue laser imaging magnified image per lesion and performed diagnosis based on the JNET classification. RESULTS: Diagnostic ability was equivalent for Type 1, Type 2A, and Type 2B. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value of Type 3 for deep submucosal invasive carcinoma was, respectively, 44.4, 98.3, 57.1, and 97.2% in Group J and 70.0, 94.7, 40.4, and 98.4% in Group T. The PPV for diagnosis of Type 3 with a high confidence was significantly higher in Group J than in Group T (81.8% [55.4-94.6] vs. 44.4% [33.6-50.9], p < 0.05). CONCLUSIONS: The PPV for Type 3 differed between the 2 groups, suggesting the need to become familiar with differentiation between Type 2B and Type 3.