Epidemiological observations of invasive group B Streptococcus infections in six major hospitals in Peninsular Malaysia

Objective:To address the lack of research on invasive group B Streptococcus(GBS)infections in Malaysia and Southeast Asia through a comprehensive analysis of GBS isolates obtained from hospitals.Methods:Medical records from patients with GBS infection isolated from the sterile site,such as blood and cerebrospinal fluid from 14 July 2019 to 15 December 2020,were reviewed from six major hospitals in Peninsular Malaysia.Inclusion criteria were invasive GBS,sterile sites and non-repeated GBS isolated from the same patients in the same admission.Viable isolates were re-identified for GBS and serotyped.Results:A total of 118 patients were eligible,with a majority of non-pregnant adults(76.3%).Over half of the patients(62.7%)had underlying medical conditions,with diabetes as the most common disease,followed by respiratory disease,renal disease,cardiovascular disease and skin and soft tissue disease.The most common manifestations were sepsis,followed by soft tissue abscess,diabetic foot ulcer,wet gangrene and cellulitis.The overall mortality was 7.6%.The most common serotype was serotype桋.Conclusions:Invasive GBS infection among non-pregnant adults showed a rising trend,particularly among diabetic individuals.The study underscores the importance of reducing risk factors and highlights the necessity of developing GBS vaccination as a preventive strategy for both infants and adults.

Incidence of surgical site infection in minimally invasive colorectal surgery

BACKGROUND Surgical site infection(SSI)is a common complication of colorectal surgery.Minimally invasive surgery notably reduces the incidence of SSI.This study aimed to compare the incidences of SSI after robot-assisted colorectal surgery(RACS)vs that after laparoscopic assisted colorectal surgery(LACS)and to analyze associated risk factors for SSI in minimally invasive colorectal surgery.AIM To compare the incidences of SSI after RACS and LACS,and to analyze the risk factors associated with SSI after minimally invasive colorectal surgery.METHODS Clinical data derived from patients who underwent minimally invasive colorectal surgery between October 2020 and October 2022 at the First Affiliated Hospital of Soochow University were collated.Differences in clinical characteristics and surgeryrelated information associated with RACS and LACS were compared,and possible risk factors for SSI were identified.RESULTS A total of 246 patients(112 LACS and 134 RACS)were included in the study.Fortythree(17.5%)developed SSI.The proportions of patients who developed SSI were similar in the two groups(17.9%vs 17.2%,P=0.887).Diabetes mellitus,intraoperative blood loss≥100 mL,and incision length were independent risk factors for SSI.Possible additional risk factors included neoadjuvant therapy,lesion site,and operation time.CONCLUSION There was no difference in SSI incidence in the RACS and LACS groups.Diabetes mellitus,intraoperative blood loss≥100 mL,and incision length were independent risk factors for postoperative SSI.

Preoperative prediction of lymphovascular and perineural invasion in gastric cancer using spectral computed tomography imaging and machine learning

BACKGROUND Lymphovascular invasion(LVI)and perineural invasion(PNI)are important prognostic factors for gastric cancer(GC)that indicate an increased risk of metastasis and poor outcomes.Accurate preoperative prediction of LVI/PNI status could help clinicians identify high-risk patients and guide treatment deci-sions.However,prior models using conventional computed tomography(CT)images to predict LVI or PNI separately have had limited accuracy.Spectral CT provides quantitative enhancement parameters that may better capture tumor invasion.We hypothesized that a predictive model combining clinical and spectral CT parameters would accurately preoperatively predict LVI/PNI status in GC patients.AIM To develop and test a machine learning model that fuses spectral CT parameters and clinical indicators to predict LVI/PNI status accurately.METHODS This study used a retrospective dataset involving 257 GC patients(training cohort,n=172;validation cohort,n=85).First,several clinical indicators,including serum tumor markers,CT-TN stages and CT-detected extramural vein invasion(CT-EMVI),were extracted,as were quantitative spectral CT parameters from the delineated tumor regions.Next,a two-step feature selection approach using correlation-based methods and information gain ranking inside a 10-fold cross-validation loop was utilized to select informative clinical and spectral CT parameters.A logistic regression(LR)-based nomogram model was subsequently constructed to predict LVI/PNI status,and its performance was evaluated using the area under the receiver operating characteristic curve(AUC).RESULTS In both the training and validation cohorts,CT T3-4 stage,CT-N positive status,and CT-EMVI positive status are more prevalent in the LVI/PNI-positive group and these differences are statistically significant(P<0.05).LR analysis of the training group showed preoperative CT-T stage,CT-EMVI,single-energy CT values of 70 keV of venous phase(VP-70 keV),and the ratio of standardized iodine concentration of equilibrium phase(EP-NIC)were independent influencing factors.The AUCs of VP-70 keV and EP-NIC were 0.888 and 0.824,respectively,which were slightly greater than those of CT-T and CT-EMVI(AUC=0.793,0.762).The nomogram combining CT-T stage,CT-EMVI,VP-70 keV and EP-NIC yielded AUCs of 0.918(0.866-0.954)and 0.874(0.784-0.936)in the training and validation cohorts,which are significantly higher than using each of single independent factors(P<0.05).CONCLUSION The study found that using portal venous and EP spectral CT parameters allows effective preoperative detection of LVI/PNI in GC,with accuracy boosted by integrating clinical markers.

Urgent call for attention to diabetes-associated hospital infections

In this editorial,we discuss the recent article by Zhao et al published in the World Journal of Diabetes,which highlights the importance of recognizing the risk indicators associated with diabetes mellitus(DM).Given the severe implications of healthcare-associated infections(HAIs)in hospitalized individuals-such as heightened mortality rates,prolonged hospitalizations,and increased costs-we focus on elucidating the connection between DM and nosocomial infections.Diabetic patients are susceptible to pathogenic bacterial invasion and subsequent infection,with some already harboring co-infections upon admission.Notably,DM is an important risk factor for nosocomial urinary tract infections and surgical site infections,which may indirectly affect the occurrence of nosocomial bloodstream infections,especially in patients with DM with poor glycemic control.Although evidence regarding the impact of DM on healthcare-associated pneumonias remains inconclusive,attention to this potential association is warranted.Hospitalized patients with DM should prioritize meticulous blood glucose management,adherence to standard operating procedures,hand hygiene practices,environmental disinfection,and rational use of drugs during hospitalization.Further studies are imperative to explore the main risk factors of HAIs in patients with DM,enabling the development of preventative measures and mitigating the occurrence of HAIs in these patients.

Preoperative prediction of perineural invasion of rectal cancer based on a magnetic resonance imaging radiomics model:A dual-center study

BACKGROUND Perineural invasion(PNI)has been used as an important pathological indicator and independent prognostic factor for patients with rectal cancer(RC).Preoperative prediction of PNI status is helpful for individualized treatment of RC.Recently,several radiomics studies have been used to predict the PNI status in RC,demonstrating a good predictive effect,but the results lacked generalizability.The preoperative prediction of PNI status is still challenging and needs further study.AIM To establish and validate an optimal radiomics model for predicting PNI status preoperatively in RC patients.METHODS This retrospective study enrolled 244 postoperative patients with pathologically confirmed RC from two independent centers.The patients underwent preoperative high-resolution magnetic resonance imaging(MRI)between May 2019 and August 2022.Quantitative radiomics features were extracted and selected from oblique axial T2-weighted imaging(T2WI)and contrast-enhanced T1WI(T1CE)sequences.The radiomics signatures were constructed using logistic regression analysis and the predictive potential of various sequences was compared(T2WI,T1CE and T2WI+T1CE fusion sequences).A clinical-radiomics(CR)model was established by combining the radiomics features and clinical risk factors.The internal and external validation groups were used to validate the proposed models.The area under the receiver operating characteristic curve(AUC),DeLong test,net reclassification improvement(NRI),integrated discrimination improvement(IDI),calibration curve,and decision curve analysis(DCA)were used to evaluate the model performance.RESULTS Among the radiomics models,the T2WI+T1CE fusion sequences model showed the best predictive performance,in the training and internal validation groups,the AUCs of the fusion sequence model were 0.839[95%confidence interval(CI):0.757-0.921]and 0.787(95%CI:0.650-0.923),which were higher than those of the T2WI and T1CE sequence models.The CR model constructed by combining clinical risk factors had the best predictive performance.In the training and internal and external validation groups,the AUCs of the CR model were 0.889(95%CI:0.824-0.954),0.889(95%CI:0.803-0.976)and 0.894(95%CI:0.814-0.974).Delong test,NRI,and IDI showed that the CR model had significant differences from other models(P<0.05).Calibration curves demonstrated good agreement,and DCA revealed significant benefits of the CR model.CONCLUSION The CR model based on preoperative MRI radiomics features and clinical risk factors can preoperatively predict the PNI status of RC noninvasively,which facilitates individualized treatment of RC patients.

Prospects and challenges for the application of tissue engineering technologies in the treatment of bone infections

Osteomyelitis is a devastating disease caused by microbial infection in deep bone tissue.Its high recurrence rate and impaired restoration of bone deficiencies are major challenges in treatment.Microbes have evolved numerous mechanisms to effectively evade host intrinsic and adaptive immune attacks to persistently localize in the host,such as drug-resistant bacteria,biofilms,persister cells,intracellular bacteria,and small colony variants(SCVs).Moreover,microbial-mediated dysregulation of the bone immune microenvironment impedes the bone regeneration process,leading to impaired bone defect repair.Despite advances in surgical strategies and drug applications for the treatment of bone infections within the last decade,challenges remain in clinical management.The development and application of tissue engineering materials have provided new strategies for the treatment of bone infections,but a comprehensive review of their research progress is lacking.This review discusses the critical pathogenic mechanisms of microbes in the skeletal system and their immunomodulatory effects on bone regeneration,and highlights the prospects and challenges for the application of tissue engineering technologies in the treatment of bone infections.It will inform the development and translation of antimicrobial and bone repair tissue engineering materials for the management of bone infections.

Klebsiella pneumoniae infections after liver transplantation:Drug resistance and distribution of pathogens,risk factors,and influence on outcomes

BACKGROUND Liver transplantation(LT)is the only curative treatment for end-stage liver disease.However,LT recipients are susceptible to infection,which is the leading cause of early mortality after LT.Klebsiella pneumoniae infections(KPIs)in the bloodstream are common in LT recipients.We hypothesized that KPIs and carbapenemresistant Klebsiella pneumoniae(CRKP)infections may affect the outcomes of LT recipients.AIM To assess KPI incidence,timing,distribution,drug resistance,and risk factors following LT and its association with outcomes.METHODS This retrospective study included 406 patients undergoing LT at The Third Xiangya Hospital of Central South University,a tertiary hospital,from January 2015 to January 2023.We investigated the risk factors for KPIs and assessed the impact of KPIs and CRKP infections on the prognosis of LT recipients using logistic regression analysis.RESULTS KPI incidence was 7.9%(n=32),with lung/thoracic cavity the most frequent site of infection;the median time from LT to KPI onset was 7.5 d.Of 44 Klebsiella pneumoniae isolates,43(97.7%)and 34(77.3%)were susceptible to polymyxin B or ceftazidime/avibactam and tigecycline,respectively;>70%were resistant to piperacillin/tazobactam,ceftazidime,cefepime,aztreonam,meropenem,and levofloxacin.Female sex[odds ratio(OR)=2.827,95%confidence interval(CI):1.256-6.364;P=0.012],pre-LT diabetes(OR=2.794,95%CI:1.070-7.294;P=0.036),day 1 post-LT alanine aminotransferase(ALT)levels≥1500 U/L(OR=3.645,95%CI:1.671-7.950;P=0.001),and post-LT urethral catheter duration over 4 d(OR=2.266,95%CI:1.016-5.054;P=0.046)were risk factors for KPI.CRKP infections,but not KPIs,were risk factors for 6-month all-cause mortality post-LT.CONCLUSION KPIs occur frequently and rapidly after LT.Risk factors include female sex,pre-LT diabetes,increased post-LT ALT levels,and urethral catheter duration.CRKP infections,and not KPIs,affect mortality.

Preoperative blood markers and intra-abdominal infection after colorectal cancer resection

BACKGROUND Colorectal cancer(CRC)has one of the highest morbidity and mortality rates among digestive tract tumors.Intra-abdominal infection(IAI)is a common postoperative complication that affects the clinical outcomes of patients with CRC and hinders their rehabilitation process.However,the factors influencing abdominal infection after CRC surgery remain unclear;further,prediction models are rarely used to analyze preoperative laboratory indicators and postoperative complications.AIM To explore the predictive value of preoperative blood markers for IAI after radical resection of CRC.METHODS The data of 80 patients who underwent radical resection of CRC in the Anorectal Surgery Department of Suzhou Hospital affiliated with Anhui Medical University were analyzed.These patients were categorized into IAI(n=15)and non-IAI groups(n=65)based on whether IAI occurred.Influencing factors were compared;general data and laboratory indices of both groups were identified.The relationship between the indicators was assessed.Further,a nomogram prediction model was developed and evaluated;its utility and clinical applic-ability were assessed.RESULTS The risk factors for IAI after radical resection of CRC were neutrophil-lymphocyte ratio(NLR),platelet-lymphocyte ratio(PLR),systemic immune-inflammation index(SII),and carcinoembryonic antigen(CEA)levels.NLR was correlated with PLR and SII(r=0.604,0.925,and 0.305,respectively),while PLR was correlated with SII(r=0.787).The nomogram prediction model demonstrated an area under the curve of 0.968[95%confidence interval(CI):0.948-0.988]in the training set(n=60)and 0.926(95%CI:0.906-0.980)in the validation set(n=20).The average absolute errors of the calibration curves for the training and validation sets were 0.032 and 0.048,respectively,indicating a good model fit.The decision curve analysis curves demonstrated high net income above the 5%threshold,indicating the clinical practicality of the model.CONCLUSION The nomogram model constructed using NLR,PLR,SII,and CEA levels had good accuracy and reliability in predicting IAI after radical resection of CRC,potentially aiding clinical treatment decision-making.

Role of vitamin D in COVID-19 and other viral infections

Vitamin D is a steroid hormone that is naturally produced in the body or obtained through dietary sources,primarily under the influence of UVB radiation.This essential nutrient has a vital role in numerous physiological processes,encom-passing immune function,cell growth,differentiation,insulin regulation,and cardiovascular well-being,along with its pivotal role in sustaining the delicate equilibrium of calcium and phosphate concentrations in the body.Moreover,vitamin D reinforces mucosal defense and bolsters the immune system through immunomodulation,making it a critical component of overall health.Numerous studies have unveiled the profound connection between vitamin D and the predisposition to respiratory tract infections,including well-known viruses such as influenza and the novel severe acute respiratory syndrome coronavirus 2.Vita-min D deficiency has been consistently linked to increased severity of coronavirus disease 2019(COVID-19)and a heightened risk of mortality among afflicted individuals.Retrospective observational studies have further substantiated these findings,indicating that levels of vitamin D are linked with both the occurrence and severity of COVID-19 cases.Vitamin D has its influence on viral infections th-rough a multitude of mechanisms,such as promoting the release of antimicrobial peptides and fine-tuning the responses of the immune system.Additionally,vitamin D is intertwined with the intricate network of the renin–angiotensin system,suggesting a potential impact on the development of complications related to COVID-19.While further clinical trials and extensive research are warranted,the existing body of evidence strongly hints at the possible use of vitamin D as a valuable tool in the prophylaxis and management of COVID-19 and other viral infectious diseases.

Predicting potential invasion risks of Leucaena leucocephala(Lam.)de Wit in the arid area of Saudi Arabia

The presence of invasive plant species poses a substantial ecological impact,thus comprehensive evaluation of their potential range and risk under the influence of climate change is necessary.This study uses maximum entropy(MaxEnt)modeling to forecast the likelihood of Leucaena leucocephala(Lam.)de Wit invasion in Saudi Arabia under present and future climate change scenarios.Utilizing the MaxEnt modeling,we integrated climatic and soil data to predict habitat suitability for the invasive species.We conducted a detailed analysis of the distribution patterns of the species,using climate variables and ecological factors.We focused on the important influence of temperature seasonality,temperature annual range,and precipitation seasonality.The distribution modeling used robust measures of area under the curve(AUC)and receiver-operator characteristic(ROC)curves,to map the invasion extent,which has a high level of accuracy in identifying appropriate habitats.The complex interaction that influenced the invasion of L.leucocephala was highlighted by the environmental parameters using Jackknife test.Presently,the actual geographic area where L.leucocephala was found in Saudi Arabia was considerably smaller than the theoretical maximum range,suggesting that it had the capacity to expand further.The MaxEnt model exhibited excellent prediction accuracy and produced reliable results based on the data from the ROC curve.Precipitation and temperature were the primary factors influencing the potential distribution of L.leucocephala.Currently,an estimated area of 216,342 km^(2)in Saudi Arabia was at a high probability of invasion by L.leucocephala.We investigated the potential for increased invasion hazards in the future due to climate change scenarios(Shared Socioeconomic Pathways(SSPs)245 and 585).The analysis of key climatic variables,including temperature seasonality and annual range,along with soil properties such as clay composition and nitrogen content,unveiled their substantial influence on the distribution dynamic of L.leucocephala.Our findings indicated a significant expansion of high risk zones.High-risk zones for L.leucocephala invasion in the current climate conditions had notable expansions projected under future climate scenarios,particularly evident in southern Makkah,Al Bahah,Madina,and Asir areas.The results,backed by thorough spatial studies,emphasize the need to reduce the possible ecological impacts of climate change on the spread of L.leucocephala.Moreover,the study provides valuable strategic insights for the management of invasion,highlighting the intricate relationship between climate change,habitat appropriateness,and the risks associated with invasive species.Proactive techniques are suggested to avoid and manage the spread of L.leucocephala,considering its high potential for future spread.This study enhances the overall comprehension of the dynamics of invasive species by combining modeling techniques with ecological knowledge.It also provides valuable information for decision-making to implement efficient conservation and management strategies in response to changing environmental conditions.

Impacts of road on plant invasions in the Middle Mountain region of central Nepal

Biological invasion is triggered by human development activities such as the construction and expansion of road networks.Road verges serve as important habitats and corridors for the distribution of invasive alien plant species(IAPS)between geographically distant habitats.However,the trajectory of plant invasion and the data regarding the impact of roads on IAPS distribution are relatively poor in Nepal.Here,we surveyed two road types(main roads and feeder road)in the Middle Mountain region of central Nepal in order to investigate how different road types are driving the dispersal of IAPS along road verges and the adjacent natural habitats.Systematic sampling was conducted at ca 2.5 km intervals along the roads.At each sampling site,paired plots(25 m×4 m)were sampled:one adjacent to and along the road,and another 20 m away and parallel to it in the interior habitat.Our results revealed that the main road verges had a higher cover(33%)and a larger number of IAPS(14 species)than the feeder road(25%;10 species).The IAPS cover and richness were significantly higher along verges than in the adjacent interior habitats for both road types,indicating that roads are contributing as corridors for the dispersal of IAPS in the Middle Mountain areas of central Nepal.Further,elevation,tree canopy,and disturbances(grazing/mowing/trampling)were found to be the key factors that determine spatial distribution of IAPS along road verges.We emphasize that regular monitoring of vegetation along the road verges can help with the early detection and control of potential IAPS in the region before they become problematic.

Knowledge of Hospital Acquired Infections (HAIs) among Medical Students in a Tertiary Hospital in Jos North Local Government Area, Plateau State, Nigeria

Background: Hospital Acquired Infections (HAIs) remain a common cause of death, functional disability, emotional suffering and economic burden among hospitalized patients. Knowledge of HAIs is important in its prevention and control. This study seeks to assess the knowledge of Hospital Acquired Infections (HAIs) among medical students in a Tertiary Hospital in Jos North Local Government Area, Plateau State, Nigeria. Methods: This was a descriptive cross-sectional study done in October 2019 among clinical medical students using a Multistage sampling technique. Data was collected using a self-administered structured questionnaire and analyzed using the IBM SPSS 20 (Statistical Package for the Social Sciences). Ethical approval was granted by Bingham University Teaching Hospital, Ethics Committee, Jos, Plateau State. Results: A total of 219 students in the clinical arm of the College of Medicine and Health Sciences were selected. A higher proportion (97.7%) of respondents knew about Hospital Acquired Infections and 85.4% knew that Hospital Acquired infections occur in the hospital, and (86.3%) considered patients contagious with half (58.9%) considered patients as the most important source of HAIs, followed by care givers (13.2%), then doctors including medical students and interns (10.0%) and lastly nurses (8.7%). The majority of respondents (70.8%) considered Surgical Wound Infections to be the most commonly occurring HAI, followed by UTIs (69.9%), RTIs (61.2%), BSIs (37.0%) and others (0.9%). The clinical thermometer was the instrument that most commonly transmits HAIs (82.6%), then followed by stethoscope (62.1%), white coats (53.9%), and blood pressure cuff (51.1%). Most respondents knew the infectious substances, like blood (96.3%), nasal discharge (82.6%), saliva (85.3%), and faeces (79.4%) transmitted HAIs, 72.6% of the respondents said that they were aware of the recommended hand washing techniques by WHO. Conclusion: The majority of students 91.3% had good knowledge while 8.7% had poor knowledge of HAIs. Lower classes had more respondents with poor knowledge. This finding was statistically significant (p = 0.002, Chi-square 12.819). Students are encouraged to keep up the level of knowledge they have about HAIs. These students can help improve the knowledge of those whose knowledge level is low. Government and NGOs should support sponsorship for capacity-building events targeted at HAIs for healthcare workers and medical students.

Solitary extraovarian primary peritoneal carcinoma with direct invasion into the liver,diaphragm and lung without peritoneal dissemination or distant metastasis

To the Editor:Extraovarian primary peritoneal carcinoma(EOPPC)is an uncommon malignancy with many similarities to epithelial ovarian carcinoma in histological,clinical,and etiological aspects[1].This phenomenon is explained by their common embryonal origin,in which both develop from the coelomic epithelium in the early embryological stage.Despite their similarities,the incidence of EOPPC is significantly lower than that of epithelial ovarian carcinoma(6.78 cases per million vs.120.5 cases per million)[1].

Spontaneous Infection of Ascites Fluid at the National and University Hospital Hubert Koutoukou Maga in Cotonou: Prevalence and Associated Factors

Background: Spontaneous ascites fluid infection (SAFI) is an extremely serious and frequently encountered complication in cirrhotic patients. We aimed to determine the prevalence of SAFI and the factors associated with it in the largest hospital in Cotonou. Methods: This was a retrospective descriptive and analytical study conducted from January 2013 to July 2019, at the National and University Hospital Hubert Koutoukou Maga (CNHU-HKM) in Cotonou, Benin. All patients followed in the University Clinic of Hepato-Gastroenterology and diagnosed with SAFI were included. Results: Eighty-two patients were included, predominantly males (69.5%), with a mean age of 51.5 ± 14.5 years. Among them, 32 had SAFI, i.e., a prevalence of 39%. Of the 32 cases of SAFI, the culture of ascites fluid was positive in 6 cases (18.7%). The most frequent germ found in SAFI was Escherichia coli (5 patients, 83.3%). The factors associated with SAFI in this study were: abdominal pain (p = 0.004), increased bilirubinemia (p = 0.009), decreased prothrombin level 20 (p = 0.001). Conclusion: SAFI was common in cirrhotic patients in the department. Certain clinical and paraclinical factors were associated with it, as was the severity of cirrhosis. Early diagnosis and aetiological management of cirrhosis could reduce its frequency.

Retraction: Emodin Inhibits Colon Cancer Cell Invasion and Migration by Suppressing Epithelial-Mesenchymal Transition via the Wnt/β-Catenin Pathway

Following the publication,concerns have been raised about a number of figures in this article.The transwell invasion assays shown in Fig.2A were strikingly similar to data appearing in different form in other articles written by different authors at different research institutes that had already been published.

Reinfection and Risk Factors of SARS-CoV-2 during an Omicron Wave 2022 in Shanghai

Multiple waves of coronavirus disease 2019(COVID-19) outbreaks have affected numerous countries worldwide. The first case of SARS-CoV-2 reinfection was reported in Hong Kong in August 2020^([1]), leading to increased interest in the effectiveness of natural immunity acquired from primary infection. While data reports vary across countries, all findings indicate that prior SARS-CoV-2 infection provides substantial protection against reinfection^([2]). However, natural immunity from infection with previous non-Omicron or early Omicron sub-lineages offers lower levels of protection against Omicron reinfection, with rates below 60%^([3]) and approximately 75%[4], respectively.

Retraction:MicroRNA-107 promotes proliferation,migration,and invasion of osteosarcoma cells by targeting tropomyosin 1

Following the publication,concerns have been raised about a number of figures in this article.The western blots in this article were presented with atypical,unusually shaped and possibly anomalous protein bands in many cases.The authors were contacted and invited to comment on the concerns raised and to provide the original,unmodified figures,but did not respond.The Editors-in-Chief therefore no longer have confidence in the integrity of the data in this article and decided to retract this article.All authors have not responded to correspondence about this retraction.

Countermeasures to reduce the risk of infections at the 2024 Olympic and Paralympic Games—A balancing act

The Olympic and Paralympic Games are a global celebration of athletic dedication and achievement,bringing together athletes and spectators from around the world.However,such large gatherings present public health challenges for the Organizing Committees and local governments.As highlighted by the coronavirus disease 2019(COVID-19)pandemic,these events are associated with an increased risk of transmission of infections,which can significantly impact the health and well-being of athletes and attendees.Prioritizing the health and safety of athletes,officials and spectators is fundamental to ensure the successful hosting of the Games.Therefore,it is essential to design and implement comprehensive countermeasures to mitigate the risk of an infectious disease outbreak among participants but also to the residents of the host city.

Timing of hepatectomy following the Omicron variant infection for vaccinated-patients:A retrospective cohort study

Many previous studies suggested that severe acute respiratory syndrome coronavirus 2(SARS-CoV-2) infection elevated the risk of morbidity and 90-day mortality after operation, especially pulmonary complications [1–7]. Uncertainty about perioperative safety puts off the progress of elective surgery [8]. The Omicron variant has recently become the dominant variant causing prevalence in several countries [9]. Although a high rate of patients with Omicron presented asymptomatic status [10], it is still unclear whether Omicron infection would raise the risk of postoperative complications.

A case of Rickettsia felis infection-induced encephalitis in a pregnant woman

Rickettsia felis is an exclusively cytozoic Gram-negative prokaryote with cat fleas as the major vectors.[1]As early as 1918,Rickettsia felis was detected in cat fleas in Europe and named Rickettsia ctenocephali.[2]Symptoms of fever,malaise,headache,maculopapular rash and eschar are observed in patients with Rickettsia felis infection.