Matching Probability Research Articles

Epidemiology and Treatment Outcomes of Tuberculosis With Chronic Hepatitis B Infection-California, 2016-2020.

Improved epidemiologic and treatment data for active tuberculosis (TB) with chronic hepatitis B virus (cHBV) infection might inform and encourage screening and vaccination programs focused on persons at risk of having both conditions. We matched the California Department of Public Health TB registry during 2016-2020 to the cHBV registry using probabilistic matching algorithms. We used chi-square analysis to compare the characteristics of persons with TB and cHBV with those with TB only. We compared TB treatment outcomes between these groups using modified Poisson regression models. We calculated the time between reporting of TB and cHBV diagnoses for those with both conditions. We identified 8435 persons with TB, including 316 (3.7%) with cHBV. Among persons with TB and cHBV, 256 (81.0%) were non-US-born Asian versus 4186 (51.6%) with TB only (P < .0001). End-stage renal disease (26 [8.2%] vs 322 [4.0%]; P < .001) and HIV (21 [6.7%] vs 247 [3.0%]; P = .02) were more frequent among those with TB and cHBV compared with those with TB only. Among those with both conditions, 35 (11.1%) had TB diagnosed >60 days before cHBV (median, 363 days) and 220 (69.6%) had TB diagnosed >60 days after cHBV (median, 3411 days). Persons with TB and cHBV were found more frequently in certain groups compared with TB only, and infrequently had their conditions diagnosed together. This highlights an opportunity to improve screening and treatment of TB and cHBV in those at high risk for coinfection.

Comparison of long-term oncologic outcomes of central lumpectomy and conventional breast-conserving surgery for invasive breast cancer: propensity score matching analysis.

Central lumpectomy (CL) is a breast-conserving surgical (BCS) technique that involves excision of the nipple-areolar complex with breast tumor in centrally located breast cancers. We aimed to investigate the long-term clinical outcomes of CL in comparison with conventional BCS (cBCS). Patient records who underwent BCS with clear resection margins for invasive breast cancer between 2004 and 2018 were retrospectively reviewed. Of the total 6,533 patients, 106 (1.6%) underwent CL. Median follow-up duration was 73.4months. 1:3 propensity score matching (PSM) and inverse probability of treatment weighting (IPTW) were used to minimize selection bias. The CL group showed a significantly higher ipsilateral breast tumor recurrence (IBTR) rate than the cBCS group (10-year IBTR rate: 5.8% vs. 3.1%, p = 0.004), even after adjusting for other variables (hazard ratio (HR), 2.65; 95% confidence interval (CI), 1.07-6.60, p = 0.048). However, there were no significant differences observed inregional recurrence, distant metastasis, oroverall survival rates between the two groups. Both PSM and IPTW analyses showed significantly higher IBTR in the CL group (PSM HR, 3.27; 95% CI, 0.94-11.36; p = 0.048 and IPTW HR, 4.66; 95%CI, 1.85-11.77; p < 0.001). Lastly, when analyzing 2,213 patients whose tumors were located within 3cm of the nipple, the CL group showed a significantly higher IBTR than the cBCS group before and after PSM. CL was associated with a higher rate ofIBTR compared to cBCS, while other survival outcomes were comparable. For centrally located tumors, CL may be considered for patients preferring breast preservation. However, higher risk for IBTR should be informed and careful surveillance may be necessary during the early post-operative follow-up periods.

Low-Intensity Statin Plus Ezetimibe Versus Moderate-Intensity Statin for Primary Prevention: A Population-Based Retrospective Cohort Study in Asian Population.

While moderate-intensity statin therapy is recommended for primary prevention, statins may not be utilized at a recommended intensity due to dose-dependent adverse events, especially in an Asian population. However, evidence supporting the use of low-intensity statins in primary prevention is limited. We sought to compare clinical outcomes between a low-intensity statin plus ezetimibe and a moderate-intensity statin for primary prevention. This population-based retrospective cohort study used the Korean nationwide claims database (2002-2019). We included adults without atherosclerotic cardiovascular diseases who received moderate-intensity statins or low-intensity statins plus ezetimibe. The primary outcome was a composite of all-cause mortality, myocardial infarction, and ischemic stroke. The safety outcomes were liver and muscle injuries and new-onset diabetes mellitus (DM). We used standardized inverse probability of treatment weighting (sIPTW) and propensity score matching (PSM). In the sIPTW model, 1717 and 36 683 patients used a low-intensity statin plus ezetimibe and a moderate-intensity statin, respectively. In the PSM model, each group included 1687 patients. Compared with moderate-intensity statin use, low-intensity statin plus ezetimibe use showed similar risks of the primary outcome (hazard ratio [HR] = 0.92, 95% CI = 0.81-1.12 in sIPTW and HR = 1.16, 95% CI = 0.87-1.56 in PSM model). Low-intensity statin plus ezetimibe use was associated with decreased risks of liver and muscle injuries (subHR [sHR] = 0.84, 95% CI = 0.74-0.96 and sHR = 0.87, 95% CI = 0.77-0.97 in sIPTW; sHR = 0.84, 95% CI = 0.72, 0.96 and sHR = 0.82, 95% CI = 0.72-0.94 in PSM model, respectively). For new-onset DM and hospitalization of liver and muscle injuries, no difference was observed. Low-intensity statin plus ezetimibe may be an alternative to moderate-intensity statin for primary prevention. Our findings provide evidence on safety and efficacy of statin therapy in Asian population.

Evaluation of the usefulness of insertion-null markers in critical skeletal remains

Forensic DNA analysis in compromised skeletal remains may pose challenges due to DNA degradation, often resulting in partial or negative autosomal STRs profiles. To address this issue, alternative approaches such as mitochondrial DNA or SNPs typing may be employed; however, they are labour-intensive and costly. Insertion-null alleles (INNULs), short interspersed nuclear elements, have been suggested as a valuable tool for human identification in challenging samples due to their small amplicon size. A commercial kit including 20 INNULs markers along with amelogenin (InnoTyper® 21) has been developed. This study assesses its utility using degraded skeletal remains, comparing the results obtained (the number of detected alleles, RFU values, PHR, and the number of reportable markers) to those obtained using GlobalFiler™. Subsequently, the random match probability of the two profiles for each sample was determined using Familias version 3 to evaluate the power of discrimination of the results obtained from each kit. In every sample, InnoTyper® 21 yielded more alleles, higher RFU values, and a greater number of reportable loci. However, in most cases, both profiles were similarly informative. In conclusion, InnoTyper® 21 serves as a valuable complement to the analysis of challenging samples in cases where a poor or negative profile was obtained.

Association of Postoperative Atrial Fibrillation Duration after Coronary Artery Bypass Grafting with Poor Postoperative Outcomes.

Postoperative atrial fibrillation (POAF) has long been associated with poor perioperative outcomes after coronary artery bypass grafting (CABG). In this study, we aimed to investigate the effect of prolonged POAF durations on perioperative outcomes of CABG. This retrospective cohort study examined CABG patients enrolled at Beijing Anzhen Hospital from January 2018 to September 2021. We compared patients with POAF durations 48 hours to patients with POAF durations 48 hours. Primary outcomes were in-hospital mortality, stroke, acute respiratory failure (ARF), acute kidney injury (AKI), and significant gastrointestinal bleeding (GIB); secondary outcomes were postoperative length of stay (LOS) and intensive care unit (ICU) duration. Associations between primary outcomes and POAF duration were determined using logistic regression and restricted cubic spline analyses. Differences in baseline characteristics were controlled using propensity score matching (PSM) and inverse probability of treatment weighting (IPTW). Out of 11,848 CABG patients, 3604 (30.4%) had POAF, while 1131 (31.4%) had it for a duration of 48 hours. ARF (adjusted odds ratio [OR]: 2.96, 95% confidence interval [CI]: 1.47-6.09), AKI (adjusted OR: 2.37, 95% CI: 1.42-3.99), and significant GIB (adjusted OR: 2.60, 95% CI: 1.38-5.03) were associated with POAF durations 48 hours; however, neither in-hospital mortality (adjusted OR: 1.60, 95% CI: 0.97-2.65) nor stroke (adjusted OR: 1.28, 95% CI: 0.71-2.34) was. These results remained even following PSM and IPTW analyses. POAF durations longer than 48 hours were independently associated with poorer perioperative recovery from CABG, with respect to the occurrence of ARF, AKI, and GIB, as well as a longer postoperative LOS and ICU duration. However, it was not associated with greater in-hospital mortality or stroke occurrence. All these findings suggest that postoperative monitoring of POAF and positive intervention after detection may be more helpful in optimizing post-CABG patient outcomes.

Mortality After Alcohol Septal Ablation vs. Septal Myectomy in Patients With Obstructive Hypertrophic Cardiomyopathy.

Background: Alcohol septal ablation (ASA) and septal myectomy (SM) are 2 options for septal reduction therapy (SRT) to treat medication-resistant symptomatic obstructive hypertrophic cardiomyopathy (HCM). Because differences in mortality rates after these different SRT methods have not been extensively investigated in real-world settings, in this study compared the 1-year mortality rates after ASA and SM using population-based database. Methods and Results: Utilizing New York Statewide Planning and Research Cooperative System (SPARCS) data from 2005 to 2016, we performed a comparative effectiveness study of ASA vs. SM in patients with HCM. The outcome was all-cause death up to 360 days after SRT. We constructed a multivariable logistic regression model and performed sensitivity analysis with propensity score (PS)-matching and inverse probability of treatment weighting (IPTW) methods. We identified 755 patients with HCM who underwent SRT: 348 with ASA and 407 with SM. The multivariable analysis showed that all-cause deaths were significantly fewer in the ASA group at 360 days after SRT (adjusted odds ratio=0.34; 95% confidence interval [CI] 0.13-0.84; P=0.02). The PS-matching and IPTW methods also supported a lower mortality rate in the ASA group at 360 days post-SRT. Conclusions: In this population-based study of patients with HCM who underwent SRT in a real-world setting, the 1-year all-cause mortality rate was significantly lower in patients who underwent ASA compared with SM.

Heavy traffic analysis of multi-class bipartite queueing systems under FCFS

This paper examines the performance of multi-class, multi-server bipartite queueing systems, where each arriving customer is compatible with only a subset of servers. We focus on the system’s performance under a first-come, first-served-assign longest idle server service discipline. In this discipline, an idle server is matched with the compatible customer who has been waiting the longest, and a customer who can be served by multiple idle servers is routed to the server that has been idle for the longest period. We analyse the system under conventional heavy-traffic conditions, where the traffic intensity approaches one from below. Building upon the formulation and results of Afèche et al. (Oper Res 70(1):363–401, 2022), we generalize the model by allowing the vector of arrival rates to approach the heavy-traffic limit from an arbitrary direction. We characterize the steady-state waiting times of the various customer classes and demonstrate that a much wider range of waiting time outcomes is achievable. Furthermore, we establish that the matching probabilities, i.e. the probabilities of different customer classes being served by different servers, do not depend on the direction along which the system approaches heavy traffic. We also investigate the design of compatibility between customer classes and servers, finding that a service provider who has complete control over the matching can design a delay-minimizing matching by considering only the limiting arrival rates. When some constraints on the compatibility structure exist, the direction of convergence to heavy-traffic affects which compatibility structure minimizes delay. Additionally, we discover that the bipartite matching queueing system exhibits a form of Braess’s paradox, where adding more connectivity to an existing system can lead to higher average waiting times, despite the fact that neither customers nor servers act strategically.

Comparing 90-Day Postoperative Mortality After Neoadjuvant Proton-Based Versus Photon-Based Chemoradiotherapy for Esophageal Cancer

PurposeEvidence suggests that proton-beam therapy (PBT) results in less toxicity and postoperative complications compared to photon-based radiotherapy in patients who receive chemoradiotherapy followed by esophagectomy for cancer. Ninety-day mortality (90DM) is an important measure of the postoperative (nononcologic) outcome as proxy of quality-of-care. We hypothesize that PBT could reduce 90DM compared to photon-based radiotherapy. Materials and MethodsFrom a single-center retrospective database patients treated with chemoradiotherapy before esophagectomy for cancer were selected (1998-2022). Univariable logistic regression was used to study the association of radiotherapy modality with 90DM. Three separate methods were applied to adjust for confounding bias, including multivariable logistic regression, propensity score matching, and inverse probability of treatment weighting. Stratified analysis for the age threshold that maximized the difference in 90DM (ie, ≥67 vs <67 years) was performed. ResultsA total of 894 eligible patients were included and 90DM was 5/202 (2.5%) in the PBT versus 29/692 (4.2%) in the photon-based radiotherapy group (P = .262). After adjustment for age and tumor location, PBT versus photon-based radiotherapy was not significantly associated with 90DM (P = .491). The 90DM was not significantly different for PBT versus photon-based radiotherapy in the propensity score matching (P = .379) and inverse probability of treatment weighting cohort (P = .426). The stratified analysis revealed that in patients aged ≥67 years, PBT was associated with decreased 90DM (1.3% vs 8.8%; P = .026). Higher age significantly increased 90DM risk within the photon-based radiotherapy (8.8% vs 2.7%; P = .001), but not within the PBT group (1.3% vs 3.2%; P = .651). ConclusionNo statistically significant difference was observed in postoperative 90DM after esophagectomy for cancer between PBT and photon-based neoadjuvant chemoradiotherapy. However, among older patients a signal was observed that PBT may reduce 90DM risk.

Robust positive association between serum urate and the risk of chronic obstructive pulmonary disease: hospital-based cohort and Mendelian randomisation study

BackgroundChronic obstructive pulmonary disease (COPD) and hyperuricaemia are both characterised by systemic inflammation. Preventing chronic diseases among the population with common metabolic abnormality is an effective strategy. However, the association...

Effects of triple therapy on disease burden in patients of GOLD groups C and D: results from the observational COPD cohort COSYCONET

BackgroundRandomized controlled trials described beneficial effects of inhaled triple therapy (LABA/LAMA/ICS) in patients with chronic obstructive pulmonary disease (COPD) and high risk of exacerbations. We studied whether such effects were also detectable under continuous treatment in a retrospective observational setting.MethodsData from baseline and 18-month follow-up of the COPD cohort COSYCONET were used, including patients categorized as GOLD groups C/D at both visits (n = 258). Therapy groups were defined as triple therapy at both visits (triple always, TA) versus its complement (triple not always, TNA). Comparisons were performed via multiple regression analysis, propensity score matching and inverse probability weighting to adjust for differences between groups. For this purpose, variables were divided into predictors of therapy and outcomes.ResultsIn total, 258 patients were eligible (TA: n = 162, TNA: n = 96). Without adjustments, TA patients showed significant (p < 0.05) impairments regarding lung function, quality of life and symptom burden. After adjustments, most differences in outcomes were no more significant. Total direct health care costs were reduced but still elevated, with inpatient costs much reduced, while costs of total and respiratory medication only slightly changed.ConclusionWithout statistical adjustment, patients with triple therapy showed multiple impairments as well as elevated treatment costs. After adjusting for differences between treatment groups, differences were reduced. These findings are compatible with beneficial effects of triple therapy under continuous, long-term treatment, but also demonstrate the limitations encountered in the comparison of controlled intervention studies with observational studies in patients with severe COPD using different types of devices and compounds.

Exploring the therapeutic role of early heparin administration in ARDS management: a MIMIC-IV database analysis

BackgroundAcute respiratory distress syndrome (ARDS) is a severe respiratory condition characterized by a high mortality rate, the management of which relies on supportive care and a profound understanding of its pathophysiology. Heparin, with its anticoagulant and potential anti-inflammatory properties, offers a new therapeutic opportunity for the treatment of ARDS.MethodsIn this retrospective cohort study, we examined the MIMIC-IV database for ARDS patients who received prophylactic heparin within the first 72 h of ICU admission. Employing propensity score matching and inverse probability weighting (IPW) analysis, we evaluated the impact of early heparin use on patient outcomes, focusing on mortality rates.ResultsPatients who received prophylactic heparin had a significantly lower in-hospital mortality rate compared to those who did not (13.55% vs 17.93%, HR = 0.71, 95% CI: 0.54–0.93, P = 0.012). This result remained significant after propensity score matching (12.75% vs 17.93%, HR = 0.65, 95% CI 0.47–0.90, P = 0.010). Analysis using five different statistical models indicated that early use of heparin significantly reduced the in-hospital mortality rate, with HR = 0.669 (95% CI 0.487–0.919, P = 0.013) in the doubly robust model without balanced covariates; HR = 0.705 (95% CI 0.515–0.965, P = 0.029) with all covariates considered; HR = 0.660 (95% CI 0.491–0.888, P = 0.006) in the propensity score (IPW) model; HR = 0.650 (95% CI 0.470–0.900, P = 0.010) in the propensity score matching model; and HR = 0.706 (95% CI 0.536–0.930, P = 0.013) in the multivariate Cox regression model. Secondary outcomes indicated that heparin use was also associated with reduced mortality rates at 60 days, and 90 days.ConclusionThis research highlights that early prophylactic administration of heparin may substantially lower mortality in ARDS patients. These findings underscore the potential of heparin as a key component in the management of ARDS, offering a new perspective and novel strategies for clinical treatment.

Enhanced Tropical Cyclone Precipitation Prediction in the Northwest Pacific Using Deep Learning Models and Ensemble Techniques

This study focuses on optimizing precipitation forecast induced by tropical cyclones (TCs) in the Northwest Pacific region, with lead times ranging from 6 to 72 h. The research employs deep learning models, such as U-Net, UNet3+, SE-Net, and SE-UNet3+, which utilize precipitation forecast data from the Global Forecast System (GFS) and real-time GFS environmental background data using a U-Net structure. To comprehensively make use of the precipitation forecasts from these models, we additionally use probabilistic matching (PM) and simple averaging (AVR) in rainfall prediction. The precipitation data from the Global Precipitation Measurement (GPM) Mission serves as the rainfall observation. The results demonstrate that the root mean squared errors (RMSEs) of U-Net, UNet3+, SE-UNet, SE-UNet3+, AVR, and PM are lowered by 8.7%, 10.1%, 9.7%, 10.0%, 11.4%, and 11.5%, respectively, when compared with the RMSE of the GFS TC precipitation forecasts, while the mean absolute errors are reduced by 9.6%, 11.3%, 9.0%, 12.0%, 12.8%, and 13.0%, respectively. Furthermore, the neural network model improves the precipitation threat scores (TSs). On average, the TSs of U-Net, UNet3+, SE-UNet, SE-UNet3+, AVR, and PM are raised by 12.8%, 21.3%, 19.3%, 20.7%, 22.5%, and 22.9%, respectively, compared with the GFS model. Notably, AVR and PM outperform all other individual models, with PM’s performance slightly better than AVR’s. The most important feature variables in optimizing TC precipitation forecast in the Northwest Pacific region based on the UNet-based neural network include GFS precipitation forecast data, land and sea masks, latitudinal winds at 500 hPa, and vertical winds at 500 hPa.

Optimal Heart Failure Medical Therapy and Mortality in Survivors of Cardiogenic Shock: Insights From the FRENSHOCK Registry.

The effects of pharmacological therapy on cardiogenic shock (CS) survivors have not been extensively studied. Thus, this study investigated the association between guideline-directed heart failure (HF) medical therapy (GDMT) and one-year survival rate in patients who are post-CS. FRENSHOCK (French Observatory on the Management of Cardiogenic Shock in 2016) registry was a prospective multicenter observational survey, conducted in metropolitan French intensive care units and intensive cardiac care units. Of 772 patients, 535 patients were enrolled in the present analysis following the exclusion of 217 in-hospital deaths and 20 patients with missing medical records. Patients with triple GDMT (beta-blockers, renin-angiotensin system inhibitors, and mineralocorticoid receptor antagonists) at discharge (n=112) were likely to have lower left ventricular ejection fraction on admission and at discharge compared with those without triple GDMT (n=423) (22% versus 28%, P<0.001 and 29% versus 37%, P<0.001, respectively). In the overall cohort, the one-year mortality rate was 23%. Triple GDMT prescription was significantly associated with a lower one-year all-cause mortality compared with non-triple GDMT (adjusted hazard ratio 0.44 [95% CI, 0.19-0.80]; P=0.007). Similarly, 2:1 propensity score matching and inverse probability treatment weighting based on the propensity score demonstrated a lower incidence of one-year mortality in the triple GDMT group. As the number of HF drugs increased, a stepwise decrease in mortality was observed (log rank; P<0.001). In survivors of CS, the one-year mortality rate was significantly lower in those with triple GDMT. Therefore, this study suggests that intensive HF therapy should be considered in patients following CS.

Population genetic analyses of Eastern Chinese Han nationality using ForenSeq™ DNA Signature Prep Kit.

Currently, the most commonly used method for human identification and kinship analysis in forensic genetics is the detection of length polymorphism in short tandem repeats (STRs) using polymerase chain reaction (PCR) and capillary electrophoresis (CE). However, numerous studies have shown that considerable sequence variations exist in the repeat and flanking regions of the STR loci, which cannot be identified by CE detection. Comparatively, massively parallel sequencing (MPS) technology can capture these sequence differences, thereby enhancing the identification capability of certain STRs. In this study, we used the ForenSeq™ DNA Signature Prep Kit to sequence 58 STRs and 94 individual identification SNPs (iiSNPs) in a sample of 220 unrelated individuals from the Eastern Chinese Han population. Our aim is to obtain MPS-based STR and SNP data, providing further evidence for the study of population genetics and forensic applications. The results showed that the MPS method, utilizing sequence information, identified a total of 486 alleles on autosomal STRs (A-STRs), 97 alleles on X-chromosome STRs (X-STRs), and 218 alleles on Y-chromosome STRs (Y-STRs). Compared with length polymorphism, we observed an increase of 260 alleles (157, 31, and 72 alleles on A-STRs, X-STRs, and Y-STRs, respectively) across 36 STRs. The most substantial increments were observed in DYF387S1 and DYS389II, with increases of 287.5% and 250%, respectively. The most increment in the number of alleles was found at DYF387S1 and DYS389II (287.5% and 250%, respectively). The length-based (LB) and sequence-based (SB) combined random match probability (RMP) of 27 A-STRs were 6.05E-31 and 1.53E-34, respectively. Furthermore, other forensic parameters such as total discrimination power (TDP), cumulative probability of exclusion of trios (CPEtrio), and duos (CPEduo) were significantly improved when using the SB data, and informative data were obtained for the 94 iiSNPs. Collectively, these findings highlight the advantages of MPS technology in forensic genetics, and the Eastern Chinese Han genetic data generated in this study could be used as a valuable reference for future research in this field.

The tumor burden score may be a discriminator in microwave ablation versus liver resection for hepatocellular carcinoma within the Milan criteria: a propensity score matching and inverse probability of treatment weighting study.

This study aims to compare the prognostic outcome of resection (RES) and microwave ablation (MWA) in different tumor burden score (TBS) cohorts. We retrospectively analyzed 479 patients with primary hepatocellular carcinoma (HCC) who underwent RES (n = 329) or MWA (n = 150) with curative intent at our institution. We assessed their overall survival (OS) and progression-free survival (PFS) using the Kaplan-Meier curve. Propensity score matching (PSM) and inverse probability of treatment weighting (IPTW) were performed to minimize selection and confounding biases. Multivariate Cox regression was used to define the association between surgical modalities and outcomes. Following PSM, in the TBS ≤3 cohort, the cumulative 1-, 3-, 5- year OS in the RES and MWA groups were 92.5% vs. 98.8%, 82.7% vs. 90.0%, and 82.7% vs. 83.2% (P = 0.366), respectively. The corresponding PFS rates in the RES and MWA groups were 82.7% vs. 88.0%, 63.6% vs. 68.3% and 55.2% vs. 56.3, respectively (P = 0.218). In the TBS >3 cohort, the cumulative 1-, 3-, 5- year OS between the RES and MWA groups were 92.5% vs. 95.0%, 82.8% vs. 73.2% and 76.3% vs. 55.1%, (P = 0.034), respectively. The corresponding PFS rates in the RES and MWA groups were 78.0% vs. 67.5%, 63.6% vs. 37.5% and 55.2% vs. 37.1%, respectively (P = 0.044). The IPTW analysis showed similar results as shown in PSM analysis. The multivariate Cox regression indicated that the type of surgical modality was not associated with a poorer prognostic outcome in the TBS ≤3 cohort, unlike in the TBS >3 cohort. TBS, as a discriminator, might help guide treatment decision-making for HCC within the Milan criteria.

Change of indocyanine green clearance ability and liver function after transcatheter intra-arterial therapies and its impact on outcomes of resectable hepatocellular carcinoma: a retrospective cohort study.

Indocyanine green (ICG) clearance test is a classical measurement of hepatic reserve, which involves surgical safety and patient recovery of hepatocellular carcinoma (HCC). The authors aim to compare effects of hepatic arterial infusion chemotherapy (HAIC) and transcatheter arterial chemoembolization (TACE) on liver function and outcomes of subsequent hepatectomy. HCC patients receiving HAIC/TACE in SYSUCC with repeated ICG clearance tests were retrospectively enrolled. ICG eliminating rate (ICG-K), ICG retention rate at 15 min (ICG-R15) and ordinary laboratory tests were collected. Peri-therapeutic changes of values were compared between the groups. Propensity score matching (PSM) and inverse probability of treatment weighing (IPTW) were employed to validate findings. Post-hepatectomy liver failure (PHLF), overall survival (OS) and recurrence-free survival (RFS) were analyzed in patients with subsequent curative hepatectomy. Two hundred and four patients treated with HAIC ( n =130) and TACE ( n =74) were included. ΔICG-R15 was greater in the HAIC arm before matching (mean, 3.8% vs. 0.7%, P <0.001), after PSM (mean, 4.7% vs. 1.1%, P =0.014) and IPTW (mean, 2.0% vs. -3.6%, P <0.001). No difference was found for ΔALB, ΔALBI, ΔTBIL, ΔALT, ΔAST and ΔPT-INR. Multivariable analyses revealed elder age, cirrhosis, HAIC, greater ΔTBIL and ΔALBI were associated with deteriorating ICG-R15. Among those (105 for HAIC and 48 for TACE) receiving hepatectomy, occurrence of grade B/C PHLF (4.8% vs. 8.3%, P =0.616), OS (median, unreached vs. unreached, P =0.94) and RFS (median, 26.7 vs. 17.1months, P =0.096) were comparable between the two arms. In subgroup analyses, preoperative HAIC yield superior RFS (median, 26.7 vs. 16.2months, P =0.042) in patients with baseline ICG-R15 less than or equal to 10%. Preoperative FOLFOX-HAIC caused apparent impairment of ICG clearance ability than TACE yet comparable impact on liver function and post-hepatectomy outcomes.

3-D Reconstruction and Measurement of Blade Profiles With Laser-Scanning Sensor via Multiview Registration Based on Dynamic Encoding of Feature-Coordinate Information

Currently, optical-based method provides a feasible means for blade reconstruction and measurement. However, as the key step, multi-view registration is still heavily reliant on the measurement system's motion stability and geometric accuracy. Moreover, the complex and high-reflective freeform surface of blades may result in both insufficient overlaps and less prominent overlap-area features between adjacent views, making accurate multi-view data alignment difficult. Thus, we propose a method to realize accurate 3-D reconstruction and measurement of blade profiles based on a scanning system with a laser-sensor and a coarse-to-fine registration strategy. Firstly, coarse alignment of the multi-view data is achieved by calibrating the system's rotational axis using the blade datum plane feature, which can provide a good initial value for the fine registration and improve the reconstruction efficiency. Then, a fine registration algorithm based on the dynamic encoding of feature-coordinate fusion information is proposed to refine the coarsely aligned data and reduce the effect of system motion error on registration accuracy. Here, the introduction of fusion information can effectively eliminate the redundant correspondences to continuously optimize the matching probability between multi-view data in each iteration, improving registration accuracy and efficiency. Finally, experiments on typical blades and comparison with the other fine registration algorithms demonstrate the accuracy and robustness of the proposed method.

Multi-stage probabilistic linguistic matching method with the screening mechanism and individual preference relationship fusion

Considering the diversification of transaction information and complexity of matching environment, the original information with the language tendency plays an important role. Thus, under this circumstance, this paper gives a matching decision-making system under the probabilistic linguistic environment so as to improve the matching efficiency and quality. First, this paper demonstrates the multi-stage two-sided matching problem and illustrates the system frame. Then, for the multiple indicators, a probabilistic linguistic integrated cloud Bayesian network is constructed to present the dependency relationship, and determine the corresponding probability. It is known that the accuracy of agents’ preference information acts on the stability of final matching results, which may involve the strong ranking, agents’ psychological preferences and personal interests, etc. Thus, the improved ORESTE (organísation, rangement et Synthèse de données relarionnelles, in French) method is introduced to derive strong ranking and determine preference, indifference, and incomparability relation (PIR). Furthermore, this paper constructs the dynamic two-sided matching model considering the screening effect. Finally, a case study in second-hand house transaction is used to demonstrate the matching process. Simulation and comparison analysis validate its feasibility and effectiveness.

Predictive mobility and cost-aware flow placement in SDN-based IoT networks: a Q-learning approach

Software-Defined Networking (SDN) has emerged as an innovative networking method that offers effective management and remarkable flexibility. However, current SDN-based solutions primarily focus on static networks or concentrate on backbone networks, where network dynamics have minimal impact. The existing methods for placing flow entries in Software-Defined Networking (SDN)-based Internet of Things (IoT) systems exhibit shortcomings in accurately predicting outcomes and efficiently reducing table misses and associated performance metrics. This research introduces a new approach, specifically the mobility-aware adaptive flow entry placement scheme for SDN-based Internet of Things (IoT) environments, to address the mobility aspect of networks. The proposed scheme utilizes the Q-learning algorithm to predict the next possible location of end devices, while the cost-sensitive AdaBoost algorithm is employed to select heavy and active flows. As a result, efficient flow rules for incoming flows can be dynamically implemented without controller intervention. Extensive computer simulations demonstrate that this approach significantly enhances match probability and prediction accuracy while concurrently reducing the number of table misses and resource expenditure compared to existing schemes.

Impact of Virtual Interviews on Pulmonary and Critical Care Fellowship Match: An Analysis of National Data.

Internal Medicine residents have historically expressed hesitancy in pursuing a career in pulmonary and critical care medicine (PCCM). However, recent studies have demonstrated newfound competitiveness. The coronavirus disease (COVID-19) global outbreak prompted the implementation of a virtual interviewing model for PCCM fellowship match. The effect of this new paradigm on PCCM match results has not been studied previously. With the shift to virtual interviewing, we aim to determine how this new method of interviewing may influence the selection of candidates for fellowship training programs. We acquired data of 4,333 applicants ranking PCCM for the years 2017-2021 from the National Resident Matching Program and the Electronic Residency Application Service websites for the years 2017-2021. Chi-square (χ2) analysis of the applicants' demographics and the percentage of applicants matching at their first choice versus those who matched at lower than their third-choice program before and after the implementation of virtual interviews season was performed. The matching probability for the U.S. Doctors of Osteopathic Medicine significantly increased after the implementation of virtual interviews compared with the years 2017-2020 (χ2 = 8.569; P = 0.003). The matching probability remained unchanged for U.S. Doctors of Medicine (χ2 = 2.448; P = 0.118). Overall, an applicant's probability of matching at their first choice has significantly decreased after the virtual interview format (χ2 = 4.14; P = 0.04). Conversely, the probability of matching at a program that is lower than the third choice has significantly increased (χ2 = 11.039; P < 0.001). Our study provides evidence regarding the effect of the virtual interview format on PCCM match results. Strikingly, applicants are more likely to match at lower-ranked programs in their rank list after the implementation of the virtual interview process. These results can be helpful for both programs and applicants, to guide their future expectations and decisions while going through the interview process.