Adverse drug reactions of first-line antitubercular drugs:A retrospective study on characteristics,management,factors,and impacts

Objective:To elucidate the characteristics,management strategies,risk factors,and clinical impacts associated with adverse drug reactions(ADRs)induced by first-line antitubercular drugs to enhance tuberculosis(TB)management.Methods:A retrospective cohort study was conducted by retrieving drug-susceptible TB records among adult patients who received TB treatment from 2018 to 2021 at 10 public health clinics in Sarawak,Malaysia.Only the initial TB treatment and occurrence of specific ADRs within the study period were considered.Regression analysis was performed to identify the risk factors associated with both overall ADRs and individual types of ADRs.Results:Among 2953 cases,705(23.9%)developed ADRs.Cutaneous reactions were the most prevalent(47.1%),followed by hepatotoxicity(32.8%)and gastrointestinal disturbances(29.8%).Six out of seven types of ADRs investigated occurred within the intensive phase,mostly manifesting at approximately 2 weeks of initiation.Hepatotoxicity resulted in the majority(85.3%)of treatment discontinuations,while vision problems led to treatment modifications in half of the cases.Risk factors for all ADRs included age≥60 years,females,illicit drug use,and comorbidities such as HIV-positive,diabetes,and chronic liver disease.Alcohol consumption was independently associated with hepatotoxicity.ADRs caused around one-third of interruptions exceeding 2 weeks(33.0%)and subsequently necessitated treatment restarts(34.5%).Conclusions:Understanding these various aspects contributes to improving the overall management of ADRs in TB treatment.Close ADR monitoring and reporting are essential to strengthen ADR management.

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.

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.

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.

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.

Predictors of Adverse Pregnancy Outcomes Following Traumatic Injuries

Objective After traumatic injury in pregnant women,providing timely and appropriate management for high-risk patients is crucial for both pregnant women and fetuses.This study aimed to identify risk factors that predict adverse pregnancy outcomes after traumatic injury.Methods A retrospective cohort study including 317 pregnant patients who experienced trauma was conducted.The collected data included general demographics,injury mechanisms and adverse pregnancy outcomes.Patients were divided into two subgroups based on the absence or presence of trauma-related adverse pregnancy outcomes.Univariate and multivariate logistic regressions were conducted to estimate the associations between clinical variables and adverse pregnancy outcomes.Results A total of 41(12.93%)patients experienced adverse pregnancy outcomes within the first 24 h post-trauma.This study revealed that age>35 years(OR=14.995,95%CI:5.024–44.755,P<0.001),third trimester trauma(OR=3.878,95%CI:1.343–11.204,P=0.012),abdominal pain(OR=3.032,95%CI:1.221–7.527,P=0.017),vaginal bleeding(OR=3.226,95%CI:1.093–9.523,P=0.034),positive scan in focused assessment with sonography for trauma(FAST)positive(OR=8.496,95%CI:2.825–25.555,P<0.001),9≤injury severity score(ISS)<16(OR=3.039,95%CI:1.046–8.835,P=0.041)and ISS≥16(OR=5.553,95%CI:1.387–22.225,P=0.015)increased the probability of posttraumatic adverse pregnancy outcomes.Maternal age,gestational age at delivery,vaginal bleeding and positive FAST results were risk factors for abnormal delivery.Conclusion Advanced maternal age,third trimester,and positive FAST results should alert multidisciplinary trauma teams to closely monitor patients to prevent adverse pregnancy outcomes.

Predictive Effect of CA125 on Adverse Cardiovascular Events in Patients with Chronic Heart Failure

Objective: To study the expression of CA125 in the serum of patients with CHF and the relationship between CA125 level and the occurrence of adverse cardiovascular events. Methods: The clinical data of 132 patients with CHF admitted to Shizuishan Second People’s Hospital from January 2023 to December 2023 were collected and divided into heart function II group, heart function III group, heart function IV group according to cardiac function. 44 healthy subjects who underwent physical examination during the same period were selected as the control group. The clinical data of CA125, NT-proBNP, echocardiography and other clinical data of the four groups were compared, and the incidence of major adverse cardiovascular events was followed up for 12 months. Results: Compared with the control group, the CA125 level in the CHF group was significantly increased (P Conclusion: Serum CA125 level is related to the cardiac function level in CHF patients and increases with the deterioration of cardiac function. The increase of the index is related to the mortality rate and re-hospitalization rate, suggesting that CA125 can be used as an indicator to reflect the severity of heart failure and prognosis monitoring.

Robotic-assisted versus laparoscopic repair of type II, III and IV hiatal hernias: A retrospective study comparing adverse outcomes

Objective:Robotic-assisted surgery(RAS)is continuing to expand in use in surgical specialties,including foregut surgery.The available data on its use in large hiatal hernia(HH)repair are limited and conflicting.This study sought to determine whether there are significant differences in adverse outcomes following HH repair performed with a robotic approach vs.a laparoscopic approach.This study was limited to outcomes in patients with type II,III,and IV HHs,as these hernias are typically more challenging to repair.Methods:A retrospective analysis was performed from data obtained from TriNetX,a large deidentified clinical database,over a 10-year period.Adult patients who underwent type II,III,or IV HH repair were included in the study.HH with robotic repair was compared to laparoscopic repair.Cohorts were propensity score matched for demographic information and comorbidities.Risk ratios,risk differences(RDs)with 95%confidence intervals(CIs),and t test for each examined adverse outcome were used to estimate the effects of robotic repair vs.laparoscopic repair.Results:In total,20,016 patients who met the inclusion criteria were identified;1,515 patients utilized RAS,and 18,501 used laparoscopy.Prior to matching,there were significant differences in age,sex,comorbidity,and BMI between the two cohorts.After 1:1 propensity score matching,analyses of 1,514 well-matched patient pairs revealed no significant differences in demographics or comorbidities.Patients who underwent robotic repair were more likely to experience major complications,including venous thromboembolism(RD:0.007,95%CI:0.003,0.011;p?0.002),critical care(RD:0.023,95%CI:0.007,0.039;p?0.004),urinary/renal complications(RD:0.027,95%CI:0.014,0.041;p<0.001),and respiratory complications(RD:0.046,95%CI:0.028,0.064;p<0.001).RAS was associated with a significantly shorter length of stay(32.4±27.5 h vs.35.7±50.1 h,p?0.031),although this finding indicated a reduction in the length of stay of less than 4 hours.No statistically significant differences in risk of esophageal perforation,infection,postprocedural shock,bleeding,mortality,additional emergency room visits,cardiac complications,or wound disruption were found.Conclusions:Patients who undergo robotic-assisted large HH repair are at increased risk of venous thromboembolism,need critical care,urinary or renal complications and respiratory complications.Due to variations in RAS technique,experience,and surgical volumes,further study of this surgical approach and complication rates is warranted.

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.

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.

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.

Value of improved nursing measures and enhanced nursing management to reduce the occurrence of adverse events in pediatric infusion

BACKGROUND Intravenous infusion is a common method of drug administration in clinical practice.Errors in any aspect of the infusion process,from the verification of medical orders,preparation of the drug solution,to infusion by nursing staff,may cause adverse infusion events.AIM To analyzed the value of improving nursing measures and enhancing nursing management to reduce the occurrence of adverse events in pediatric infusion.METHODS The clinical data of 130 children who received an infusion in the pediatric department of our hospital from May 2020 to May 2021 were analyzed and divided into two groups according to the differences in nursing measures and nursing management:65 patients in the control group received conventional nursing and nursing management interventions,while 65 patients in the observation group received improved nursing measure interventions and enhanced nursing management.The occurrence of adverse events,compliance of children,satisfaction of children’s families,and complaints regarding the transfusion treatment were recorded in both groups.RESULTS The incidence of fluid extravasation and infusion set dislodgement in the observation group were 3.08%and 1.54%,respectively,which were significantly lower than 12.31%and 13.85%in the control group(P<0.05),while repeated punctures and medication addition errors in the observation group were 3.08%and 0.00%,respectively,which were lower than 9.23%and 3.08%in the control group,but there was no significant difference(P>0.05).The compliance rate of children in the observation group was 98.46%(64/65),which was significantly higher than 87.69%(57/65)in the control group,and the satisfaction rate of children’s families was 96.92%(63/65),which was significantly higher than 86.15%(56/65)in the control group(P<0.05).The observation group did not receive any complaints from the child’s family,whereas the control group received four complaints,two of which were due to the crying of the child caused by repeated punctures,one due to the poor attitude of the nurse,and one due to medication addition errors,with a cumulative complaint rate of 6.15%.The cumulative complaint rate of the observation group was significantly lower than that of the control group(P<0.05).CONCLUSION Improving nursing measures and enhancing nursing management can reduce the incidence of fluid extravasation and infusion set dislodgement in pediatric patients,improve children’s compliance and satisfaction of their families,and reduce family complaints.

Unplanned intensive care admission leading to an adverse event:Incidence,preventability and feature analysis

Objective:To compare the characteristics of patients between adverse event(AE)group and non-AE group,and to assess the causes,preventability,and severity of AE.Methods:A retrospective triple-phase medical record study was conducted at a Spanish tertiary hospital.Data was collected over a 6-month period,including all patients with an unplanned intensive care admission.Demographic characteristics,APACHE栻,length of ICU stay,mortality were compare between AE and non-AE group causes,preventability and severity were analyzed in AE cases.Results:597 Patients were included in the study.The overall incidence of AEs was 17.3%(n=103),of which 83.5%were considered preventable.Mortality within the AE group was higher than in the non-AE group(23.3%vs.13.6%),making it 1.7 times more frequent in the AE group(95%CI:1.143-2.071).The primary cause of AE was associated with surgical procedures(43.7%).Of the AEs,18.4%were classified as mild,58.3%as moderate,and 23.3%as severe.Conclusions:The incidence of unplanned intensive care admissions due to AE is high and potentially preventable.This is concerning given the high mortality observed in patients admitted to the intensive care unit because of an AE,although direct causality cannot always be established.The findings emphasize the importance of patient safety and underscore the need for improved quality and management of care resources.They also indicate where efforts should be directed to enhance care risk management.

Biomarkers associated with immune-related adverse events induced by immune checkpoint inhibitors

Immune checkpoint inhibitors(ICIs)constitute a pivotal class of immunotherapeutic drugs in cancer treatment.However,their widespread clinical application has led to a notable surge in immune-related adverse events(irAEs),significantly affecting the efficacy and survival rates of patients undergoing ICI therapy.While conventional hematological and imaging tests are adept at detecting organ-specific toxicities,distinguishing adverse reactions from those induced by viruses,bacteria,or immune diseases remains a formidable challenge.Consequently,there exists an urgent imperative for reliable biomarkers capable of accurately predicting or diagnosing irAEs.Thus,a thorough review of existing studies on irAEs biomarkers is indispensable.Our review commences by providing a succinct over-view of major irAEs,followed by a comprehensive summary of irAEs biomarkers across various dimensions.Furthermore,we delve into innovative methodologies such as machine learning,single-cell RNA sequencing,multiomics analysis,and gut microbiota profiling to identify novel,robust biomarkers that can facilitate precise irAEs diagnosis or prediction.Lastly,this review furnishes a concise exposition of irAEs mechanisms to augment understanding of irAEs prediction,diagnosis,and treatment strategies.

Adverse Pregnancy Outcomes Following Cryotherapy, Thermal Ablation and Loop Electrosurgical Excision Procedure for Cervical Intraepithelial Neoplasia Treatment: A Pilot Study among Zambian Women

Background: Cervical Intraepithelial neoplasia treatments have become essential interventions to manage cervical lesions. Majority of the recipients of these treatments are women within the reproductive age group, who according to literature may be at risk of adverse pregnancy outcomes. This pilot study is part of a study investigating adverse pregnancy outcomes among women who received Cryotherapy, Thermal ablation and Loop Electrosurgical Excision Procedure compared to the untreated women in Zambia. Materials and Methods: This descriptive study analyzed records of 886 (n = 443 treated and n = 443 untreated) women aged 15 - 49 years. The women were either screened with Visual Inspection with Acetic Acid or treated for Cervical Intraepithelial neoplasia at the Adult Infectious Disease Centre between January 2010 and December 2020. Women meeting the criteria were identified using the Visual Inspection with Acetic Acid screening records and telephone interviews to obtain the adverse pregnancy outcome experienced. Data were analysed using STATA version 16 to determine the prevalence and obtain frequency distribution of outcomes of interest. Univariate and multivariable binary logistic regression estimated odds of adverse pregnancy outcomes across the three treatments. Results: The respondents were aged 15 to 49 years. Adverse pregnancy outcomes were observed to be more prevalent in the treatment group (18.5%) compared to the untreated group (5.4%). Normal pregnancy outcomes were lower in the treated (46.3%;n = 443) than the untreated (53.7%;n = 443). The treated group accounted for the majority of abortions (85.2%), prolonged labour (85.7%) and low birth weight (80%), whereas, the untreated accounted for the majority of still births (72.7%). Women treated with cryotherapy (aOR = 2.43, 95% CI = 1.32 - 4.49, p = 0.004), thermal ablation (aOR = 6.37, 95% CI = 0.99 - 41.2, p = 0.052) and Loop Electrosurgical Excision Procedure (aOR = 9.67, 95% CI = 2.17 - 43.1, p = 0.003) had two-, six- and ten-times higher odds of adverse pregnancy outcomes respectively, relative to women who required no treatment. Conclusion: Adverse pregnancy outcomes are prevalent among women who have received treatment in Zambia. The findings indicate that treating Cervical Intraepithelial Neoplasia has been linked to higher chances of experiencing abortion, delivering low birth weight babies and enduring prolonged labor that may result in a caesarean section delivery. Cervical neoplasia treatments, particularly Loop Electrosurgical Excision Procedure, are associated with significantly increased odds of adverse pregnancy outcomes. It is essential to include information about prior Cervical Intraepithelial neoplasia treatment outcomes in obstetric care.

Extraction and imaging of indicator elements for non-destructive,in-situ,fast identification of adverse geology in tunnels

The lag in quantitative methods and detection techniques for geologic information has resulted in time-consuming and human-experienced geologic analysis in tunnels.Geochemical indicators of rocks can be used to identify adverse geology and to explain the intrinsic causes of damage to normal rocks.This study proposes a method to identify adverse geology by extracting and imaging the indicator elements.The mapping relationship between rock components and geologic bodies is quickly determined by indicator element extraction based on factor analysis,and then the data are gridded for image output.The location and size of the target adverse geology are visually identified through the distribution images of the indicator elements,thus reducing data dimensions and analysis time.A non-destructive,in-situ and fast element detection technique in tunnels was adopted to speed up the process of geology identification.The accuracy of the detection was validated by comparing field and laboratory test results.This study further confirms and refines the previous research,and the results provide references for geological,mining and underground projects.

Contemporary nationwide trends in major adverse cardiovascular events in young cannabis users without concomitant tobacco,alcohol,cocaine use

BACKGROUND Cannabis use has increased among young individuals in recent years.Although dependent cannabis use disorder(CUD)has been associated with various cardiac events,its effects on young adults without concurrent substance use remain understudied.AIM To examine trends in hospitalizations for major adverse cardiac and cerebrovascular events(MACCE)in this cohort.METHODSWe used the National Inpatient Sample(2016-2019)to identify hospitalized young individuals(18-44 years),excluding those with concurrent substance usage(tobacco,alcohol,and cocaine).They were divided into CUD+and CUD-.Using International Classification of Diseases-10 codes,we examined the trends in MACCE hospitalizations,including all-cause mortality(ACM),acute myocardial infarction(AMI),cardiac arrest(CA),and acuteischemic stroke(AIS).RESULTSOf 27.4 million hospitalizations among young adults without concurrent substance abuse,4.2%(1.1 million)hadco-existent CUD.In CUD+group,hospitalization rates for MACCE(1.71%vs 1.35%),AMI(0.86%vs 0.54%),CA(0.27%vs 0.24%),and AIS(0.49%vs 0.35%)were higher than in CUD-group(P<0.001).However,rate of ACMhospitalizations was lower in CUD+group(0.30%vs 0.44%).From 2016 to 2019,CUD+group experienced arelative rise of 5%in MACCE and 20%in AMI hospitalizations,compared to 22%and 36%increases in CUDgroup(P<0.05).The CUD+group had a 13%relative decrease in ACM hospitalizations,compared to a 10%relative rise in CUD-group(P<0.05).However,when adjusted for confounders,MACCE odds among CUD+cohort remain comparable between 2016 and 2019.CONCLUSIONThe CUD+group had higher rates of MACCE,but the rising trends were more apparent in the CUD-group overtime.Interestingly,the CUD+group had lower ACM rates than the CUD-group.

A Study on the Correlation of Body Mass Management During Pregnancy with Adverse Pregnancy Outcomes and Labor Progression

Objective:To investigate the effects of body mass management during pregnancy on adverse pregnancy outcomes,duration of labor,and neonatal birth weight.Methods:472 pregnant women who visited Beijing Anzhen Hospital from January to December 2023 were selected,and the pregnant women were divided into 236 each in the observation group and the control group.Body mass of pregnant women was measured and BMI was calculated in early and late pregnancy respectively,and the pregnant women in the control group were guided by routine management,while the observation group was guided by body mass management during pregnancy.The growth of maternal body mass,mode of delivery,postpartum hemorrhage,neonatal score,neonatal blood glucose at birth,and umbilical artery blood,as well as the comparison of the duration of labor,were observed.Results:The observation group was significantly better than the control group in terms of mode of delivery,postpartum hemorrhage,and body mass growth,with statistically significant differences(P<0.05),and there was no statistical significance in terms of neonatal scores,neonatal blood glucose at birth,and umbilical artery blood(P>0.05);the time of the first stage of labor and the time of the second stage of labor of the mothers in the observation group was significantly better than that of the control group,with statistical differences(P<0.05),and the time of the third stage of labor of the mothers in the observation group was statistically better than that of the control group.There was no statistically significant difference between the time of the third stage of labor in the observation group and the control group(P>0.05),and the time of the total stage of labor in the observation group was statistically better than that in the control group(P<0.05).Conclusion:Body mass management during pregnancy can effectively improve maternal control of weight gain,reduce labor time,and decrease the occurrence of adverse pregnancy outcomes.

Analysis of Cardiac Functional Status and Factors Influencing Adverse Pregnancy Outcomes in Pregnant Women with Combined Heart Disease

Objective:To investigate the cardiac function of pregnant women with complicated heart disease during pregnancy and the factors influencing the adverse pregnancy outcome.Methods:A total of 162 cases of pregnant women with complicated heart disease admitted to the Beijing Anzhen Hospital from October 2021 to December 2023 were selected to compare the occurrence of adverse pregnancy outcomes in pregnant women with complicated heart disease at different levels of cardiac function and to analyze the single and multi factors leading to adverse pregnancy outcomes in pregnant women with complicated heart disease.Results:Among 162 pregnant women with combined heart disease in pregnancy,the highest percentage of heart disease type was congenital heart disease(80/49.38%),and the lowest percentage was other(9/5.56%);the overall incidence of adverse pregnancy outcomes in pregnant women with combined heart disease in pregnancy with cardiac function grades of 3–4 cardiac function(30/68.18%)was higher than that in pregnant women with combined heart disease in cardiac function grades of 1–2(40/33.90%)(P=0.000);age,marital status,hypertension,and past history of all pregnant women were not statistically significant(P>0.05);gestational age,type of heart disease,and cardiac function grading were statistically significant(P<0.05),and these factors were all independent risk factors for adverse pregnancy resolution in pregnant women with combined heart disease(P<0.05).Conclusion:The overall incidence of adverse pregnancy outcomes was higher in pregnant women with heart disease than in those with heart disease grades 1–2,and the number of pregnancies,the type of heart disease,and heart function grades were all independent risk factors for adverse pregnancy outcomes in pregnant women with heart disease.