Prevention and Nursing of Adverse Reactions of Novel Coronavirus Inactivated Vaccine (Vero Cells)

Objective:To discuss and analyze the causes of adverse reactions caused by the inactivated novel coronavirus vaccine(Vero cells),and to propose methods of prevention and care.Methods:A questionnaire was used to randomly select 229 adults who were vaccinated with the inactivated novel coronavirus vaccine(Vero cells)at Xi’an People’s Hospital(Xi’an Fourth Hospital).The adverse reactions were statistically analyzed.Results:Among the 229 adults vaccinated with the inactivated novel coronavirus vaccine(Vero cells),30 experienced vaccination reactions.The main reaction was local induration at the inoculation site,and dizziness was the primary systemic symptom.Conclusion:To reduce the incidence of adverse reactions to the inactivated novel coronavirus vaccine(Vero cells),it is necessary to effectively evaluate the health status of adults before vaccination,select the correct vaccination site,and strictly implement the rules of 3-inspections,7-checks,and 1-verification.Standardizing the operation process and providing thorough health education after vaccination can effectively reduce the occurrence of adverse reactions.

Performance of the EDACS-ADP incorporating high-sensitivity troponin assay:Do components of major adverse cardiac events matter?

BACKGROUND:The accelerated diagnostic protocol(ADP)using the Emergency Department Assessment of Chest pain Score(EDACS-ADP),a tool to identify patients at low risk of a major adverse cardiac event(MACE)among patients presenting with chest pain to the emergency department,was developed using a contemporary troponin assay.This study was performed to validate and compare the performance of the EDACS-ADP incorporating high-sensitivity cardiac troponin I between patients who had a 30-day MACE with and without unstable angina(MACE I and II,respectively).METHODS:A single-center prospective observational study of adult patients presenting with chest pain suggestive of acute coronary syndrome was performed.The performance of EDACS-ADP in predicting MACE was assessed by calculating the sensitivity and negative predictive value.RESULTS:Of the 1,304 patients prospectively enrolled,399(30.6%;95%confidence interval[95%CI]:27.7%–33.8%)were considered low-risk using the EDACS-ADP.Among them,the rates of MACE I and II were 1.3%(5/399)and 1.0%(4/399),respectively.The EDACS-ADP showed sensitivities and negative predictive values of 98.8%(95%CI:97.2%–99.6%)and 98.7%(95%CI:97.0%–99.5%)for MACE I and 98.7%(95%CI:96.8%–99.7%)and 99.0%(95%CI:97.4%–99.6%)for MACE II,respectively.CONCLUSION:EDACS-ADP could help identify patients as safe for early discharge.However,when unstable angina was added to the outcome,the 30-day MACE rate among the designated lowrisk patients remained above the level acceptable for early discharge without further evaluation.

Impact of body mass index on adverse kidney events in diabetes mellitus patients: A systematic-review and meta-analysis

BACKGROUND The incidence of chronic kidney disease among patients with diabetes mellitus(DM)remains a global concern.Long-term obesity is known to possibly influence the development of type 2 diabetes mellitus.However,no previous meta-analysis has assessed the effects of body mass index(BMI)on adverse kidney events in patients with DM.AIM To determine the impact of BMI on adverse kidney events in patients with DM.METHODS A systematic literature search was performed on the PubMed,ISI Web of Science,Scopus,Ovid,Google Scholar,EMBASE,and BMJ databases.We included trials with the following characteristics:(1)Type of study:Prospective,retrospective,randomized,and non-randomized in design;(2)participants:Restricted to patients with DM aged≥18 years;(3)intervention:No intervention;and(4)kidney adverse events:Onset of diabetic kidney disease[estimated glomerular filtration rate(eGFR)of<60 mL/min/1.73 m2 and/or microalbuminuria value of≥30 mg/g Cr],serum creatinine increase of more than double the baseline or end-stage renal disease(eGFR<15 mL/min/1.73 m2 or dialysis),or death.RESULTS Overall,11 studies involving 801 patients with DM were included.High BMI(≥25 kg/m2)was significantly associated with higher blood pressure(BP)[systolic BP by 0.20,95%confidence interval(CI):0.15–0.25,P<0.00001;diastolic BP by 0.21 mmHg,95%CI:0.04–0.37,P=0.010],serum albumin,triglycerides[standard mean difference(SMD)=0.35,95%CI:0.29–0.41,P<0.00001],low-density lipoprotein(SMD=0.12,95%CI:0.04–0.20,P=0.030),and lower high-density lipoprotein(SMD=–0.36,95%CI:–0.51 to–0.21,P<0.00001)in patients with DM compared with those with low BMIs(<25 kg/m2).Our analysis showed that high BMI was associated with a higher risk ratio of adverse kidney events than low BMI(RR:1.22,95%CI:1.01–1.43,P=0.036).CONCLUSION The present analysis suggested that high BMI was a risk factor for adverse kidney events in patients with DM.

Neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio:Markers predicting immune-checkpoint inhibitor efficacy and immune-related adverse events

We conducted a comprehensive review of existing prediction models pertaining to the efficacy of immune-checkpoint inhibitor(ICI)and the occurrence of immune-related adverse events(irAEs).The predictive potential of neutrophil-to-lymphocyte ratio(NLR)and platelet-to-lymphocyte ratio(PLR)in determining ICI effectiveness has been extensively investigated,while limited research has been conducted on predicting irAEs.Furthermore,the combined model incor-porating NLR and PLR,either with each other or in conjunction with additional markers such as carcinoembryonic antigen,exhibits superior predictive capabilities compared to individual markers alone.NLR and PLR are promising markers for clinical applications.Forthcoming models ought to incorporate established efficacious models and newly identified ones,thereby constituting a multifactor composite model.Furthermore,efforts should be made to explore effective clinical application approaches that enhance the predictive accuracy and efficiency.

Prediabetes: An overlooked risk factor for major adverse cardiac and cerebrovascular events in atrial fibrillation patients

BACKGROUND Prediabetes is a well-established risk factor for major adverse cardiac and cerebrovascular events(MACCE).However,the relationship between prediabetes and MACCE in atrial fibrillation(AF)patients has not been extensively studied.Therefore,this study aimed to establish a link between prediabetes and MACCE in AF patients.AIM To investigate a link between prediabetes and MACCE in AF patients.METHODS We used the National Inpatient Sample(2019)and relevant ICD-10 CM codes to identify hospitalizations with AF and categorized them into groups with and without prediabetes,excluding diabetics.The primary outcome was MACCE(all-cause inpatient mortality,cardiac arrest including ventricular fibrillation,and stroke)in AF-related hospitalizations.RESULTS Of the 2965875 AF-related hospitalizations for MACCE,47505(1.6%)were among patients with prediabetes.The prediabetes cohort was relatively younger(median 75 vs 78 years),and often consisted of males(56.3%vs 51.4%),blacks(9.8%vs 7.9%),Hispanics(7.3%vs 4.3%),and Asians(4.7%vs 1.6%)than the non-prediabetic cohort(P<0.001).The prediabetes group had significantly higher rates of hypertension,hyperlipidemia,smoking,obesity,drug abuse,prior myocardial infarction,peripheral vascular disease,and hyperthyroidism(all P<0.05).The prediabetes cohort was often discharged routinely(51.1%vs 41.1%),but more frequently required home health care(23.6%vs 21.0%)and had higher costs.After adjusting for baseline characteristics or comorbidities,the prediabetes cohort with AF admissions showed a higher rate and significantly higher odds of MACCE compared to the non-prediabetic cohort[18.6%vs 14.7%,odds ratio(OR)1.34,95%confidence interval 1.26-1.42,P<0.001].On subgroup analyses,males had a stronger association(aOR 1.43)compared to females(aOR 1.22),whereas on the race-wise comparison,Hispanics(aOR 1.43)and Asians(aOR 1.36)had a stronger association with MACCE with prediabetes vs whites(aOR 1.33)and blacks(aOR 1.21).CONCLUSION This population-based study found a significant association between prediabetes and MACCE in AF patients.Therefore,there is a need for further research to actively screen and manage prediabetes in AF to prevent MACCE.

Why Don’t We Adequately Identify and Manage Adverse Drug Reactions despite Having the Needed Information?

Importance/Objective: Adverse Drug Reactions (ADRs) are unavoidable, but recognizing and addressing ADRs early can improve wellness and prevent permanent injury. We suggest that available medical information and digital/electronic methods could be used to manage this major healthcare problem for individual patients in real time. Methods: We searched the available digital applications and three literature databases using the medical subject heading terms, adverse drug reaction reporting systems or management, filtered by clinical trial or systemic reviews, to detect publications with data about ADR identification and management approaches. We reviewed the reports that had abstract or summary data or proposed or implemented methods or systems with potential to identify or manage ADRs in clinical settings. Results: The vast majority of the 481 reports used retrospectively collected data for groups of patients or were limited to surveying one population group or class of medication. The reports showed potential and definite associations of ADRs for specific drugs and problems, mostly, but not exclusively, for patients in hospitals and nursing homes. No reports described complete methods to collect comprehensive data on ADRs for individual patients in a healthcare system. The digital applications have ADR information, but all are too cumbersome or incomplete for use in active clinical settings. Several studies suggested that providing information about potential ADRs to clinicians can reduce these problems. Conclusion and Relevance: Although investigators and government agencies agree with the need, there is no comprehensive ADR management program in current use. Informing the patient’s healthcare practitioners of potential ADRs at the point of service has the potential for reduction of these complications, which should improve healthcare and reduce unneeded costs.

Predicting major adverse cardiovascular events after orthotopic liver transplantation using a supervised machine learning model:A cohort study

BACKGROUND Liver transplant(LT)patients have become older and sicker.The rate of post-LT major adverse cardiovascular events(MACE)has increased,and this in turn raises 30-d post-LT mortality.Noninvasive cardiac stress testing loses accuracy when applied to pre-LT cirrhotic patients.AIM To assess the feasibility and accuracy of a machine learning model used to predict post-LT MACE in a regional cohort.METHODS This retrospective cohort study involved 575 LT patients from a Southern Brazilian academic center.We developed a predictive model for post-LT MACE(defined as a composite outcome of stroke,new-onset heart failure,severe arrhythmia,and myocardial infarction)using the extreme gradient boosting(XGBoost)machine learning model.We addressed missing data(below 20%)for relevant variables using the k-nearest neighbor imputation method,calculating the mean from the ten nearest neighbors for each case.The modeling dataset included 83 features,encompassing patient and laboratory data,cirrhosis complications,and pre-LT cardiac assessments.Model performance was assessed using the area under the receiver operating characteristic curve(AUROC).We also employed Shapley additive explanations(SHAP)to interpret feature impacts.The dataset was split into training(75%)and testing(25%)sets.Calibration was evaluated using the Brier score.We followed Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis guidelines for reporting.Scikit-learn and SHAP in Python 3 were used for all analyses.The supplementary material includes code for model development and a user-friendly online MACE prediction calculator.RESULTS Of the 537 included patients,23(4.46%)developed in-hospital MACE,with a mean age at transplantation of 52.9 years.The majority,66.1%,were male.The XGBoost model achieved an impressive AUROC of 0.89 during the training stage.This model exhibited accuracy,precision,recall,and F1-score values of 0.84,0.85,0.80,and 0.79,respectively.Calibration,as assessed by the Brier score,indicated excellent model calibration with a score of 0.07.Furthermore,SHAP values highlighted the significance of certain variables in predicting postoperative MACE,with negative noninvasive cardiac stress testing,use of nonselective beta-blockers,direct bilirubin levels,blood type O,and dynamic alterations on myocardial perfusion scintigraphy being the most influential factors at the cohort-wide level.These results highlight the predictive capability of our XGBoost model in assessing the risk of post-LT MACE,making it a valuable tool for clinical practice.CONCLUSION Our study successfully assessed the feasibility and accuracy of the XGBoost machine learning model in predicting post-LT MACE,using both cardiovascular and hepatic variables.The model demonstrated impressive performance,aligning with literature findings,and exhibited excellent calibration.Notably,our cautious approach to prevent overfitting and data leakage suggests the stability of results when applied to prospective data,reinforcing the model’s value as a reliable tool for predicting post-LT MACE in clinical practice.

Adverse Events following AstraZeneca COVID-19 Vaccination: A Case Study in Abidjan, Côte d’Ivoire

Introduction: Pharmaceutical companies have boosted vaccine production following the global COVID-19 pandemic. In Côte d’Ivoire, the first vaccination campaign with the AstraZeneca vaccine began on March 1, 2021, as part of the Covax program. Despite the positive benefit/risk balance, the adverse effects of vaccination should not be minimized. Objective: To identify adverse events of AstraZeneca’s COVID-19 vaccination for better management. Materials and Methods: This is a case of a 57-year-old obese (BMI = 39 kg/m2) female health care worker who experienced adverse events in March 2021 after the second dose of AstraZeneca vaccine administered 4 weeks apart. These were subject to mandatory case reporting. Results: Major post-vaccination events occurred in a noisy systemic picture with parameters showing significant disturbances. Biological surveillance remains costly and makes the accountability of the vaccine complex. Conclusion: Vaccination remains the ultimate weapon in the fight against endemic diseases but should not overshadow the reporting of adverse events.

Knowledge,perceptions,and practice towards adverse events following immunization surveillance among vaccination workers in Zhejiang province,China

Objective:To access the level of knowledge,perceptions,and practice towards adverse events following immunization(AEFI)surveillance among vaccination workers in Zhejiang province,China.Methods:This was a cross-sectional survey involving 768 vaccination workers.Data were collected using self-administered questionnaires and analyzed by using SAS 9.3 software.Knowledge,perceptions,and practice on AEFI surveillance were summarized using frequency tables.The mean±SD value was used as the cut-off for defining good(values≥mean)and poor(values<mean)knowledge,perceptions or practice.Binary logistic regression analysis was used to determine sociodemographic variables associated with knowledge,perceptions,and practice towards AEFI.Results:The proportions of good knowledge,perceptions and practice on AEFI surveillance were 78.13%,57.81%and 66.15%,respectively.Having a higher education background,longer years of experience,previous training on AEFI and≥30 years of age were factors associated with good knowledge,perceptions and practice on AEFI surveillance among vaccination workers.Conclusions:Over half of the respondents had good knowledge,perceptions and practice on AEFI surveillance work.Interventions on improving the vaccination workers’knowledge,perceptions and practice on AEFI surveillance should be considered in order to develop a more effective surveillance system.

Correlation between immune-related adverse events and long-term outcomes in pembrolizumab-treated patients with unresectable hepatocellular carcinoma:A retrospective study

BACKGROUND Although immune checkpoint inhibitor(ICI)therapy has improved the prognosis of unresectable hepatocellular carcinoma(HCC),it has also resulted in unique immune-related adverse events(irAEs).The relationship between irAE and treatment outcomes in ICI-treated unresectable HCC patients remains unknown.AIM To elucidate the correlation between immune-related toxic effects and prognosis in patients with unresectable HCC treated with pembrolizumab.METHODS From March 2019 to February 2021,a total of 190 unresectable HCC(Barcelona Clinic Liver Cancer C)patients receiving pembrolizumab treatment were retrospectively reviewed.Overall survival(OS)was the primary endpoint,while objective response rate(ORR),disease control rate(DCR),and time to progression(TTP)were secondary evaluation indexes.We assessed demographics,irAEs,and outcomes by retrospective review.RESULTS One hundred and forty-three males and 47 females were included in the study.The ORR and DCR were 12.1%(23/190)and 52.1%(99/190),respectively.The median OS was 376 d[95%confidence interval(CI):340-411 d]and the median TTP was 98 d(95%CI:75-124 d).The overall incidence of treatment-related adverse events was 72.6%(138/190)and 10.0%of them were severe irAEs(grade≥3).Child-Pugh B class,portal vein tumor thrombus,extrahepatic metastasis,and hypothyroidism were the independent risk factors for survival.Patients with hypothyroidism showed a longer OS[517 d(95%CI:423-562)vs 431 d(95%CI:412-485),P=0.011]and TTP[125 d(95%CI:89-154)vs 87 d(95%CI:61-98),P=0.004]than those without irAEs.CONCLUSION Pembrolizumab-treated patients with unresectable HCC who experienced hypothyroidism have promising ORR and durable response.Hypothyroidism,an irAE,may be used as a clinical evaluation parameter of response to ICIs in unresectable HCC.

Immune-related adverse events induced by programmed death protein-1 inhibitors from the perspective of lymphoma immunotherapy

Lymphoma,which is highly malignant,stems from lymph nodes and lymphoid tissue.Lymphoma cells express programmed death-ligand 1/2(PD-L1/PD-L2),which binds with programmed cell death 1 protein(PD-1)to establish inhibitory signaling that impedes the normal function of T cells and allows tumor cells to escape immune system surveillance.Recently,immune checkpoint inhibitor immunotherapies such as PD-1 inhibitors(nivolumab and pembrolizumab)have been introduced into the lymphoma treatment algorithm and have shown remarkable clinical efficacy and greatly improve prognosis in lymphoma patients.Accordingly,the number of lymphoma patients who are seeking treatment with PD-1 inhibitors is growing annually,which results in an increasing number of patients developing immune-related adverse events(irAEs).The occurrence of irAEs inevitably affects the benefits provided by immunotherapy,particularly when PD-1 inhibitors are applied.However,the mechanisms and characteristics of irAEs induced by PD-1 inhibitors in lymphoma need further investigation.This review article summarizes the latest research advances in irAEs during treatment of lymphoma with PD-1 inhibitors.A comprehensive understanding of irAEs incurred in immunotherapy can help to achieve better efficacy with PD-1 inhibitors in lymphoma.

Investigating adverse events in long-term care facilities:a systematized review

Objective:This systematized review aimed to synthesize the results of empirical studies focused on the types and factors of adverse events(AEs)that contribute to them in long-term care(LTC)settings.Methods:The search was conducted in Pro Quest,Scopus,and Pub Med in January 2021 and resulted in 1057 records.The content analysis method was used in the data analysis.Results:In all,35 studies were identified as relevant for the review.The analysis revealed 133 different types of AEs and 60 factors that contributed to them.Conclusions:In LTC,various AEs occur,most of which are preventable,while many factors that influence their occurrence could be significantly modifiable.Through an effective analysis of AEs in LTC,it is possible to minimize their occurrence and,at the same time,minimize their negative impact on all par ties concerned.

Maternal Hospital Mortality in Cotonou: Incidence, Care-Associated Adverse Events and Causes

Introduction: Despite the many efforts made to combat preventable maternal deaths, these still remain high in Benin. It was therefore important to revisit the causes but especially the adverse events associated with care (EIS) in maternity. Objective: Determine the incidence, adverse events associated with care and causes of intra hospital maternal mortality in cotonou. Methods: This was a cross-sectional maternal mortality review study with retrospective data collection. It covered all cases of maternal death recorded between 2017 and 2021 in two (2) reference university maternities in Cotonou. Adverse events associated with care and the patient were analyzed using the maternal death audit grid validated for Benin. SPSS.26 software was used for data analysis. Results: The in-hospital maternal mortality ratio in Cotonou was 2028 maternal deaths per 100,000 live births in 2021. Only 7.2% (n = 36) of deaths were audited. The deceased mothers were 29.8 ± 7.4 years old, with no fixed monthly income in 82.7% (n = 420). Serious adverse events associated with care were: delay in decision to refer in 37% (n = 188), non-medical referral in 85.8% (n = 436) of cases, inadequate pre-referral treatment in 25.7% of cases. In receiving maternities, delay in diagnosis and inappropriate treatment at the receiving maternity were noted respectively in 22.9% and 28.6% of cases of maternal death. The direct causes of maternal death were dominated by serious obstetric hemorrhage in 43.9% (n = 223). As for the indirect causes, they were dominated by anemia excluding obstetric hemorrhages in 21.5% (n = 109). Conclusion: The in-hospital maternal mortality ratio was very high in Cotonou. The main cause was severe obstetric hemorrhage. There were several serious healthcare-associated adverse events whose correct management would significantly reduce the incidence of maternal deaths.

Analysis of Adverse Reactions in the Treatment of COVID-19 with Three Chinese Patent Medicines and Three Herbal Formulas

Objective To explore the rules and characteristics of the adverse drug reactions(ADRs)of three Chinese patent medicines and three herbal formulas for the treatment of COVID-19,and to provide a reference for clinical safe medication.Methods The cases and ADR reports of the three Chinese patent medicines and three herbal formulas in PubMed,Web of Science,Springer Link,CNKI,Wanfang and VIP database were retrieved from December 2019 to May 2021.Then we extracted and analyzed the effective information included in the literature.Results and Conclusion According to the pre-developed retrieval plan,a total of 136 documents were obtained,and a total of 6 documents met the inclusion criteria finally.553 patients used three Chinese patent medicines and three herbal formulas,and there were 133 cases of adverse reactions.The adverse reactions of patients taking the three Chinese patent medicines and three herbal formulas can all be explained under the theory of traditional Chinese medicine,and the adverse reactions can be eliminated by adding or subtracting the flavor of the medicine or stopping the medicine.

Acute heart failure as an adverse event of tumor necrosis factor inhibitor therapy in inflammatory bowel disease:A review of the literature

Tumor necrosis factor inhibitors(anti-TNFs)are widely used therapies for the treatment of inflammatory bowel diseases(IBD);however,their administration is not risk-free.Heart failure(HF),although rare,is a potential adverse event related to administration of these medications.However,the exact mechanism of development of HF remains obscure.TNFαis found in both healthy and damaged hearts.Its effects are concentration-and receptor-dependent,promoting either cardio-protection or cardiomyocyte apoptosis.Experimental rat models with TNFαreceptor knockout showed increased survival rates,less reactive oxygen species formation,and improved diastolic left ventricle pressure.However,clinical trials employing anti-TNF therapy to treat HF had disappointing results,suggesting abolishment of the cardioprotective properties of TNFα,making cardiomyocytes susceptible to apoptosis and oxidation.Thus,patients with IBD who have risk factors should be screened for HF before initiating anti-TNF therapy.This review aims to discuss adverse events associated with the administration of anti-TNF therapy,with a focus on HF,and propose some approaches to avoid cardiac adverse events in patients with IBD.

Epidemiology and prevention of adverse drug reactions in the elderly

Many studies have demonstrated a correlation between increasing age and adverse drug reactions. This increased risk is related to aged-related changes in pharmacokinetics and pharmacodynamics. In addition, chronic illnesses such as congestive heart failure, coronary artery disease and hypertension are more prevalent in the elderly who also have an increased risk of diabetes, arthritis and cancer. Consequently elderly patients are often treated with multiple medications, which may cause drug interactions and adverse drug reactions. Adequate undergraduate training in clinical pharmacology and continued professional development in evidence-based therapeutics will undoubtedly reduce inappropriate prescribing and improve the quality of medications. Good communications between physicians and patients are also critically important in avoidance or prevention of adverse drug reactions in the elderly.

A Time to Event Analysis of Adverse Drug Reactions Due to Tenofovir, Zidovudine and Stavudine in a Cohort of Patients Receiving Antiretroviral Treatment at an Outpatient Clinic in Zimbabwe

Background: Achieving the long terms goals of antiretroviral treatment (ART) requires a careful approach during treatment initiation that takes into account patient’s psychosocial state, availability and accessibility of treatment combinations, and adherence support. Adverse drug reactions that occur during the initial phases have a bearing on treatment outcomes and thus need to be monitored and treated. Objective: This study was done to assess length of time (survival time) it took for clinically significant adverse drug reactions to occur in patients taking Nucleoside Reverse Transcriptase Inhibitors (N(t)RTI) available for treatment of Human Immunodeficiency Virus (HIV) infection in Zimbabwe. Methods: A retrospective cohort of patient data collected from January 2009 to December 2012 was extracted from an Electronic Health Record database. Data from patients who were initiated on antiretroviral (ARV) drug regimens containing N(t)RTI drugs were analysed for survival time. A sample of 205 patient files was extracted for the time period for survival analysis using adverse drug reactions due to N(t)RTI drugs. Results: After data extraction, a total of 205 patient records were used in determining the time to event analysis of ADR’s in the cohort. The age range for the patients included in the study was 9 - 76 with a mean of 41 years (s.d = 14.8). Patients initiated on stavudine had a lower survival time before a clinically significant ADR compared to tenofovir (-365 days, p-value < 0.0005). Patients on zidovudine also had a less time before a significant reaction compared to those on tenofovir (-230 days;p-value = 0.008). Patients on zidovudine fared better compared to those on stavudine (-134 days;p-value < 0.0005). The mean survival time was highest for tenofovir (618 days), followed by zidovudine (388 days), and then stavudine (254 days).Conclusion: Patients on tenofovir have a longer survival time before a clinically significant adverse reaction. Treatment programmes need to continue commencing patients on tenofovir containing regimens as patients can be maintained for longer periods on this regimen.

A Personalized Adverse Drug Reaction Early Warning Method Based on Contextual Ontology and Rules Learning

Background: The fatality of adverse drug reactions (ADR) has become one of the major causes of the non-natural disease deaths globally, with the issue of drug safety emerging as a common topic of concern. Objective: The personalized ADR early warning method, based on contextual ontology and rule learning, proposed in this study aims to provide a reference method for personalized health and medical information services. Methods: First, the patient data is formalized, and the user contextual ontology is constructed, reflecting the characteristics of the patient population. The concept of ontology rule learning is then proposed, which is to mine the rules contained in the data set through machine learning to improve the efficiency and scientificity of ontology rule generation. Based on the contextual ontology of ADR, the high-level context information is identified and predicted by means of reasoning, so the occurrence of the specific adverse reaction in patients from different populations is extracted. Results: Finally, using diabetes drugs as an example, contextual information is identified and predicted through reasoning, to mine the occurrence of specific adverse reactions in different patient populations, and realize personalized medication decision-making and early warning of ADR.

Analysis and Enlightenment of Big Data Platform for Adverse Drug Reaction Supervision in China and the United States

Objective To introduce the relevant big data platforms of FDA regulatory sciences and to provide reference for the construction of big data platform for China’s regulatory science under the“14th five-year plan”to deepen the reform of medical and health system.Methods A comparative analysis was made on China’s big data for regulatory science after studying the development process,operation mode,practical significance and characteristics of the big data platform for FDA regulatory science,which would help China to establish a perfect big database.Results and Conclusion The construction of big data platform for China’s regulatory science is not comprehensive compared with that in the United States.It is necessary to build data platforms in line with China’s national conditions through efforts in law,talents,standards,and other aspects.

Adverse events related to colonoscopy: Global trends and future challenges

Colonoscopy is a widely used method for diagnosing and treating colonic disease. The number of colonoscopies is increasing worldwide, and concerns about associated adverse events are growing. Large-scale studies using big data for post-colonoscopy complications have been reported. A colon perforation is a severe complication with a relatively high mortality rate. The perforation rate, as reported in large studies(≥ 50,000 colonoscopies) published since 2000, ranges from 0.005-0.085%. The trend in the overall perforation rate in the past 15 years has not changed significantly. Bleeding is a more common adverse event than perforation. Recent large studies(≥ 50,000 colonoscopies) have reported postcolonoscopy bleeding occurring in 0.001-0.687% of cases. Most studies about adverse events related to colonoscopy were performed in the West, and relatively few studies have been conducted in the East. The incidence of post-colonoscopy complications increases in elderly patients or patients with inflammatory bowel diseases. It is important to use a unified definition and refined data to overcome the limitations of previous studies. In addition, a structured training program for endoscopists and a systematic national management program are needed to reduce post-colonoscopy complications. In this review, we discuss the current trends in colonoscopy related to adverse events, as well as the challenges to be addressed through future research.