Matching Probability Research Articles

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.

Adjuvant Chemotherapy and Outcomes in Older Adult Patients With Biliary Tract Cancer

The association of adjuvant chemotherapy (AC) with survival in the general population of patients with resected biliary tract cancer (BTC) remains controversial. As such, the role of this treatment in the treatment of older adult patients (aged ≥70 years) needs to be evaluated. To describe the patterns of use of AC and compare survival outcomes of AC and observation in older adult patients following resection of BTC. This retrospective cohort study included 8091 older adult patients with resected BTC with data available in the National Cancer Database from January 1, 2004, to December 31, 2019. Patients were divided into 2 cohorts: AC and observation. The AC cohort was subdivided into single-agent and multiagent AC treatment. Adjuvant chemotherapy vs observation following BTC resection. The primary outcome was overall survival (OS) of patients who received AC compared with observation following resection of BTC as evaluated using Kaplan-Meier estimates and multivariable Cox proportional hazards regression models. Inverse probability of treatment weighting and propensity score matching were performed to address indication bias. Between 2004 and 2019, of 8091 older adult patients with resected BTC identified (median [range] age, 77 [70-90] years; 5136 women [63.5%]; 2955 men [36.5%]), only one-third (2632 [32.5%]) received AC. There was an increase in the use of AC across the study period from 20.7% (n = 495) in 2004 to 2009 to 41.2% (n = 856) in 2016 to 2019. Age 80 years or older (odds ratio, 0.29; 95% CI, 0.25-0.33; P < .001) and gallbladder primary site (odds ratio, 0.71; 95% CI, 0.61-0.83; P < .001) were associated with a lower odds of AC. Following inverse probability of treatment weighting, as a composite, AC was not associated with improved survival (median OS, 20.5 months; 95% CI, 19.2-21.7 months) compared with observation (median OS, 19.0 months; 95% CI, 18.1-20.3 months). A longer median OS was associated with single-agent AC (21.5 months; 95% CI, 19.9-24.0 months) but not multiagent AC (19.1 months; 95% CI, 17.5-21.1 months) compared with observation (median OS, 17.3 months; 95% CI, 16.1-18.4 months). This improvement in OS with single-agent AC was not apparent on multivariable analysis (hazard ratio [HR], 0.97; 95% CI, 0.89-1.05; P = .44). However, age at diagnosis of 80 years or older (HR, 1.35; 95% CI, 1.28-1.42; P < .001) and treatment at nonacademic centers (HR, 1.14; 95% CI, 1.07-1.20, P < .001) were associated with worse OS. In this cohort study of older adult patients, AC was not associated with an improvement in survival compared with observation following BTC resection. These findings suggest the need for further study of AC for older adult patients who may benefit after curative intent surgery for BTC.

Prognostic value of baseline neutrophil/lymphocyte ratio in HER2-positive metastatic breast cancer: exploratory analysis of data from the CLEOPATRA trial

PurposeThis study aimed to evaluate the prognostic role of the baseline neutrophil/lymphocyte ratio (NLR) in HER2-positive metastatic breast cancer (MBC) patients treated with trastuzumab/pertuzumab.Experimental designData from 780 patients from the CLEOPATRA trial and 248 local patients were collected. Patients were divided into the low and high NLR subgroups by the NLR cutoff value. Propensity score matching (PSM) and inverse probability of treatment weighting (IPTW) methods were used to control bias. Associations between the NLR and progression-free survival (PFS) and overall survival (OS) were analyzed.ResultsThe baseline characteristics of the subgroups were well balanced after PSM and IPTW. A low baseline NLR was associated with better PFS and OS in the trastuzumab and docetaxel (TH) group in the unadjusted, PSM and IPTW models. After IPTW, a low NLR, versus a high NLR, was associated with improved PFS (HR 1.35, 95% CI 1.07–1.70, P = 0.012) and OS (HR 1.47, 95% CI 1.12–1.94, P = 0.006) in the TH group. In patients undergoing treatment with trastuzumab and pertuzumab and docetaxel (THP), a low baseline NLR was also correlated with better PFS but not OS across the three models. After IPTW, a low NLR was associated with better PFS (HR 1.52, 95% CI 1.20–1.93, P = 0.001) than a high NLR in the THP group. Multivariate analyses showed that a low baseline NLR was a predictor for PFS and OS in the TH group and for PFS in the THP group in all three models. In the real-world setting, a low baseline NLR was a predictor of better PFS among patients treated with docetaxel plus trastuzumab without or with pertuzumab in the multivariate model (P = 0.015 and 0.008, respectively).ConclusionsA low baseline NLR is associated with better survival outcomes among HER2-positive MBC patients receiving docetaxel plus trastuzumab/pertuzumab as first-line therapy.

Analysis of maternal genetic structure of mitochondrial DNA control region from Tai-Kadai-speaking Buyei population in southwestern China

BackgroundEven though the Buyei are a recognised ethnic group in southwestern China, there hasn’t been much work done on forensic population genetics, notably using mitochondrial DNA. The sequences and haplogroups of mitochondrial DNA control regions of the Buyei peoples were studied to provide support for the establishment of a reference database for forensic DNA analysis in East Asia.Methods and resultsThe mitochondrial DNA control region sequences of 200 Buyei individuals in Guizhou were investigated. The haplotype frequencies and haplogroup distribution of the Buyei nationality in Guizhou were calculated. At the same time, the paired Fst values of the study population and other populations around the world were computed, to explore their genetic polymorphism and population relationship. A total of 179 haplotypes were detected in the Buyei population, with frequencies of 0.005–0.015. All haplotypes were assigned to 89 different haplogroups. The haplotype diversity and random matching probability were 0.999283 and 0.0063, respectively. The paired Fst genetic distances and correlation p-values among the 54 populations revealed that the Guizhou Buyei was most closely related to the Henan Han and the Guizhou Miao, and closer to the Hazara population in Pakistan and the Chiang Mai population.ConclusionsThe study of mitochondrial DNA based on the maternal genetic structure of the Buyei nationality in Guizhou will benefit the establishment of an East Asian forensic DNA reference database and provide a reference for anthropological research in the future.

Effective Semi-Supervised Medical Image Segmentation with Probabilistic Representations and Prototype Learning.

Label scarcity, class imbalance and data uncertainty are three primary challenges that are commonly encountered in the semi-supervised medical image segmentation. In this work, we focus on the data uncertainty issue that is overlooked by previous literature. To address this issue, we propose a probabilistic prototype-based classifier that introduces uncertainty estimation into the entire pixel classification process, including probabilistic representation formulation, probabilistic pixel-prototype proximity matching, and distribution prototype update, leveraging principles from probability theory. By explicitly modeling data uncertainty at the pixel level, model robustness of our proposed framework to tricky pixels, such as ambiguous boundaries and noises, is greatly enhanced when compared to its deterministic counterpart and other uncertainty-aware strategy. Empirical evaluations on three publicly available datasets that exhibit severe boundary ambiguity show the superiority of our method over several competitors. Moreover, our method also demonstrates a stronger model robustness to simulated noisy data. Code is available at https://github.com/IsYuchenYuan/PPC.

Treatment Options for Signet Ring Cell Carcinoma of the Urinary Bladder: A Population-Based Study.

Signet ring cell carcinoma (SRCC) of the urinary bladder is a rare and highly aggressive form of bladder cancer, with no widely agreed-upon treatment strategy. The aim of this study was to identify important factors influencing patient prognosis and to assess how various treatment approaches affect survival outcomes. A retrospective study was conducted using data from the Surveillance, Epidemiology, and End Results (SEER) Program, including patients with bladder primary SRCC who were presented between 2000 and 2017. Univariate and multivariate Cox regression models were used to examine the impact of various factors on cancer-specific survival (CSS) and overall survival (OS). Propensity score matching (PSM) and inverse probability of treatment weighting (IPTW) were applied to homogenize both groups. The impact of different treatment regimens on patient CSS and OS was analyzed using the Kaplan-Meier method. A total of 33 cases of non-muscular invasive SRCC and 210 cases of muscular invasive SRCC were included in this study. Multivariate analysis identified race, TNM stage, and surgical method as independent variables influencing both OS and CSS. In non-muscle invasive bladder SRCC patients, radical cystectomy showed no CSS benefit compared to transurethral resection of bladder tumors (P = 0.304). For muscle invasive SRCC, patients who underwent partial cystectomy had better OS and CSS compared to those who underwent radical cystectomy (P = 0.019, P = 0.024). However, after conducting a PSM analysis, the differences between the two surgical outcomes were not statistically significant (P = 0.504, P = 0.335). Lymphadenectomy, chemotherapy, and radiation did not show any benefit to the prognosis of patients. This study identified race, TNM stage, and surgical approach as significant independent predictors for SRCC outcomes. Simple radical cystectomy and partial cystectomy proved to be effective treatments for SRCC. The optimal treatment option still needs to be supported by a number of prospective research trials.

Effectiveness of pelvic circumferential compression device for lower body trauma: Insights from a Japan Trauma Data Bank retrospective study.

Pelvic ring fractures (PRFs) due to high-energy trauma often result in severe bleeding and high mortality. Pelvic circumferential compression devices (PCCD) are widely used to stabilize PRF and decrease bleeding. However, evidence supporting their effectiveness is still inconclusive. We conducted an observational study using the Japan Trauma Data Bank (JTDB) from 2019 to 2021. Patients with blunt lower body trauma aged 15 years or older were included. We used propensity score matching (PSM) and inverse probability of treatment weighting (IPTW) to evaluate the association of PCCD and mortality. Of the 74,393 patients in the database, 235 PCCD group and 23,429 control group were analyzed. After PSM, 231 patients in both groups were enrolled. Crude analysis indicated significantly higher in-hospital mortality in the PCCD group (odds ratio (OR) = 3.8 [95% CI = 2.51-5.75]). However, PSM and IPTW analysis indicated that PCCD was associated with decreased in-hospital mortality (PSM: OR = 0.79 [0.43-1.42]; IPTW: OR = 0.73 [0.62-0.86]). In a subgroup analysis of the IPTW analysis, PCCD fitting resulted in increased in-hospital mortality in the group without PRF (OR = 2.08 [1.91-2.27]), a decrease in stable PRF (OR = 0.74 [0.6-0.91]), and a further decrease in unstable PRF (OR = 0.18 [0.12-0.27]). Additional factors, such as a fall from a height, a fall downstairs, and pre-hospital PCCD placement also influenced the treatment effect. The present, large, registry-based study found that PCCD reduced mortality in patients with a lower body injury, especially those with an unstable PRF.

The distribution of allele frequencies of the 15 Short Tandem Repeats loci in Elaziğ population, Türkiye

The DNA within the Human Genome involves loci with high polymorphism such as short tandem repeats (STR). The STR polymorphism analysis is extensively used for numerous purposes such as identification studies in forensic sciences, paternity tests, genome mapping, and population studies. In this study, blood and swab samples were obtained from 200 unrelated healthy individuals living in Elazig province. DNA was amplified via the AmpFlSTR Identifiler PCR Amplification Kit (Applied Biosystems, USA) to analyze the 15 STR loci. Using the ABI PRISM310 Genetic Analyzer capillary electrophoresis, the samples were analyzed and the allelic ladder was used to compare and identify the alleles of the samples, the distribution of the allele frequencies and peak values were examined. For statistical analysis Arlequin v.3.11 and PowerStats v.1.2 were used to assess the data. To determine if the allele frequencies were compatible with the Hardy-Weinberg (HW) equilibrium, the Markov chain and the Fisher's exact test p-value (p&lt;0.05) were examined. It was determined that the D8S1179 (0.00002), D21S11 (0.00593) and vWA (0.04939) loci were not compatible with the HW equilibrium, but the rest of the loci were compatible. For the loci, the combined power of exclusion is 0.9999995, the combined power of discrimination is 0.9999999999998. The probability of matching for the 15 STR loci was calculated to be 1 in 1.364x10ˉ17. The power of discrimination was quite high when all the loci were considered. The results of this study indicate that the populations residing in the Elaziğ province may benefit from paternity testing, forensic identification, and genomic mapping using the data as an appropriate marker.

Blood Homocysteine Levels Mediate the Association Between Blood Lead Levels and Cardiovascular Mortality

Lead is a heavy, toxic metal and its exposure to humans can lead to increased risk of cardiovascular disease development and mortality. Lead exposure has been shown to induce hyperhomocysteinemia (HHCy) which may be a major pathogenic risk for the risk of CVDs. The aim of this study was to investigate whether homocysteine (Hcy) mediates the effect of lead on cardiovascular mortality. A total of 17,915 adults aged ≥ 20 who participated in the National Health and Nutrition Examination Survey (1999 to 2006). Information on mortality was ascertained via probabilistic matching to the death certificates from the National Death Index recorded up to December 31, 2015. Cox proportional hazards regression was performed to assess the association between blood lead levels and mortality. Mediation via Hcy was examined using a logit model. During a mean follow-up of 11.6 years, the incidences of CVD mortality were 0.73, 2.18, 3.03 and 4.94 per 1000 person-years across quarterlies of blood lead levels from low to high. Following multivariable adjustment, blood lead levels were strongly associated with CVD mortality in all mortality models (p-trend < 0.001). This association remained statistically significant after further adjusting for quartiles of homocysteine (model 3; HR 1.38 (95% CI 1.01—1.89) p-trend < 0.001). Furthermore, blood lead levels increased the odds of CVD mortality via homocysteine (indirect effect) (OR 1.42 (95% CI 1.30—1.55)), demonstrating the mediatory effect of homocysteine. This the first study that demonstrates that increased homocysteine mediates nearly half of CVD mortality related to blood lead levels.

Feasibility Study of Parkinson's Speech Disorder Evaluation With Pre-Trained Deep Learning Model for Speech-to-Text Analysis.

This study investigates the feasibility of employing a pre-trained deep learning wave-to-vec model for speech-to-text analysis in individuals with speech disorders arising from Parkinson's disease (PD). A publicly available dataset containing speech recordings including the Hoehn and Yahr (H&Y) staging, Movement Disorder Society Unified Parkinson's Disease Rating Scale (UPDRS) Part I, UPDRS Part II scores, and gender information from both healthy controls (HC) and those diagnosed with PD was utilized. Employing the Wav2Vec model, a speech-to-text analysis method was implemented on PD patient data. Tasks conducted included word letter classification, word match probability assessment, and analysis of speech waveform characteristics as provided by the model's output. For the dataset comprising 20 cases, among individuals with PD, the H&Y score averaged 2.50±0.67, the UPDRS II-part 5 score averaged 0.70±1.00, and the UPDRS III-part 18 score averaged 0.80±0.98. Additionally, the number of words derived from decoded text subsequent to speech recognition was evaluated, resulting in mean values of 299.10±16.79 and 259.80±93.39 for the HC and PD groups, respectively. Furthermore, the calculated degree of agreement for all syllables was based on the speech process. The accuracy for the reading sentences was observed to be 0.31 and 0.10, respectively. This study aimed to demonstrate the effectiveness of wave-to-vec in enhancing speech-to-text analysis for patients with speech disorders. The findings could pave the way for the development of clinical tools for improved diagnosis, evaluation, and communication support for this population.

日本人集団において個人を識別するのに必要なSTRとSNPの最小座位数

For this study, we investigated the minimum number of short tandem repeat (STR) and single nucleotide polymorphism (SNP) loci sufficient for personal identification in the Japanese population. A guidance for the data volume that should be treated as personal information was presented here. The uniqueness of individual genotypes was evaluated according to the Scientific Working Group on DNA Analysis Methods interpretation guideline, using the probability that another individual would have the same genotype by chance. In the Japanese population, the threshold of random match probability sufficient for personal identification was 8.15×10－11. In STR, it was considered that when 9 or more of the 21 autosomal STR loci of the GlobalFiler system were combined, they should correspond to personal information. For SNP, a total of 112 loci should be required for identification when cumulating the number of loci at the minor allele frequency interval of 0.01. However, based on the median of allele distribution, a total of 47 loci were necessary to reach below the threshold. Furthermore, we simulated the number of the required loci when the size of the population was variable. Since genome data is already widely used in society, we need to recognize that strict management of genome data are essential from the viewpoint of protecting personal information.

Accelerating Point-Voxel Representation of 3-D Object Detection for Automatic Driving

Current point-voxel fusion methods for 3D object detection could not make full use of complementary information in the field of autonomous driving. Therefore, a novel two-stage 3D object detection method, called Accelerating Point-Voxel Representation (APVR), is proposed. The advantages of Point-based feature and Voxel-based feature can be integrated into a single 3D representation. Thereby, the proposed method retains more fine-grained information of an object while maintaining high efficiency. Specifically, computational cost is reduced by adding offsets to query neighboring voxels of key-points. More fine-grained information can be obtained by calculating the matching probability between neighbouring voxels and key-points. During the optimization of the prediction boxes, virtual grid points are set to capture the spatial information between key-points. The constraint of minimum enclosing rectangle is also added to optimize the directions of the prediction boxes. A large number of experiments on the KITTI, NuScenes and Waymo datasets demonstrate great generalizability and portability of the proposed approach. The effectiveness and efficiency of APVR has been proved by comparisons with the state-of-art methods. APVR makes the real-time processing frame rate reach 40.4 Hz while ensuring high prediction accuracy.

Assessing the Impact of Covid-19 in Mozambique in 2020

Taking advantage of the 2019/2020 Mozambican household budget survey, in the field both before and during the first phases of the Covid-19 pandemic, we assess the impact of Covid-19 on welfare in 2020, aiming to disentangle this impact from the effect of other shocks. Comparing a number of welfare metrics, and applying propensity score matching and inverse probability weighted regression adjustment approaches, we find that consumption levels are significantly lower and poverty rates substantially higher during the first phases of Covid-19 than in the pre-Covid-19 period. Moreover, the impact was greater in urban areas and accordingly in the more urbanised southern region. Non-food expenditures suffered relatively more than food expenditures, likely a coping strategy, while the impact on consumption levels was greater for people working in the secondary and tertiary sectors than for workers in the primary sector, mainly agriculture. Stunting among under-5 children also suffered. Only a limited number of countries have actual, collected in-person, survey data that span across the initial phases of the Covid-19 pandemic. Thus, the present analysis adds value to our understanding of the welfare consequences of Covid-19 in a low-income context, where automatic social safety nets were not in place during the early phases of the pandemic. More specifically, it helps in assessing the results of previous welfare impact simulations, compared to real data. Even though our main findings are broadly in line with existing estimates based on simulations or phone surveys, important differences between the predictions and the actual results emerge. We conclude that it is critically important for Mozambique and its development partners to develop stronger and more targeted policies and tools to respond to temporary shocks.

Omnichannel integration strategy based on BOPS.

Technological innovation and the upgrading of consumer preferences have greatly accelerated the rapid development of the "new retail" omnichannel model. Meeting the personalized and seamless interactive experience expected by consumers requires integrating the advantages of both offline and online channels and expanding the integrated and intelligent omnichannel layout. This has emerged as a complex problem that the industry urgently needs to address. In order to tackle this issue, we conducted a study on a Buy-Online-and-Pick-up-in-Store (BOPS) pricing game between offline stores and e-commerce departments, considering factors such as match probability and network cost of return. Furthermore, we proposed the Buy-Online-and-Pick-up-in-Store-and-Return-Online (BORO) strategy and conducted an analysis on the variation in market share and revenue levels for both offline stores and e-commerce departments under this strategy. The results demonstrate that: (i) the omnichannel strategy of BOPS can increase the revenues of both offline stores and e-commerce departments only when the distance costs are moderate; (ii) the BORO strategy provides greater benefits to offline stores compared to e-commerce departments; and (iii) the effectiveness of the BORO strategy is influenced by factors such as match probability, distance cost, and product return. This research not only provides a theoretical foundation but also practical insights for the strategic channel management of omnichannel brand merchants.

Calcium administration appears not to benefit acute pancreatitis patients with hypocalcemia.

Hypocalcemia occurs commonly among patients with acute pancreatitis (AP) in the intensive care unit (ICU). Calcium therapy could be used to correct hypocalcemia and maintain calcium levels, but its impact on the prognosis has not been demonstrated. Our study aimed to determine whether calcium therapy could benefit the multiple outcomes of AP patients with hypocalcemia. We extracted 807 AP patients with hypocalcemia from the Beth Israel Deaconess Medical Center (MIMIC-IV) database and performed retrospective analyses. The outcomes were in-hospital, 28 days, ICU mortality, and the length of stay (LOS) in the hospital and ICU. We performed propensity matching (PSM) and inverse probability weighting (IPTW) to balance the baseline differences and conducted multivariate regression to investigate the impact of calcium therapy. A total of 620 patients (76.8%) received calcium treatment (calcium group) during hospitalization, while 187 patients (non-calcium group) did not. Patients in the calcium group did not present significant survival differences between groups before and after matching. After including covariates, calcium administration had no association with patients' in-hospital (HR: 1.03, 95% Cl: 0.47-2.27, p = .942), 28 days and ICU mortality and was significantly associated with prolonged length of stay in the hospital (effect estimate: 6.18, 95% Cl: 3.27-9.09, p < .001) and ICU (effect estimate: 1.72, 95% Cl: 0.24-3.20, p < .001). Calcium therapy could not benefit patients in subgroups with exclusive parenteral infusion, early calcium therapy (<48 h), or various degrees of hypocalcemia. AP patients with hypocalcemia could not benefit from calcium administration, which has no association with multiple mortality and is significantly associated with prolonged LOS in the hospital and ICU.

Using two self-developed InDel panels to explore forensic traits and ancestral components in the Hui group

To address the challenges faced by forensic examiners in degraded DNA analysis, we have developed two different panels for various forensic applications, encompassing an AIM-InDel panel for ancestry inference and a Multi-InDel panel for individual identification, respectively. Herein, the efficiencies of these two panels were tested in the Chinese Hui group. By calculating forensic parameters and simulating family relationships, we verified that the Multi-InDel panel could be an effective tool for individual identification, paternity testing, and could assist in kinship identification in the Hui group. For full siblings, the true positive rate of kinship discrimination was 96.553%, when the threshold of log10LR was 1. The cumulative probability of matching as well as cumulative probability of exclusion were 3.8117 × 10−26 and 0.999999722, respectively. Meanwhile, we found that the AIM-InDel panel was effective for bio-geographic ancestry inference, with the vast majority of loci contributing significantly to distinguish East Asian, African, and European populations. By studying the population structure of the Hui ethnic minority, the genetic distance to the Beijing Han population was the closest among the 26 reference populations, which was similar to previous reports. In summary, we have developed two panels which can be effectively applied to the Hui group for individual identification, parentage testing and bio-geographic ancestry inference.

Adverse Impact of Sodium Bicarbonate Administration on Multiple Outcomes in Acute Pancreatitis Patients With Hyperlactatemia.

Hyperlactatemia is likely to occur among patients with acute pancreatitis (AP). Sodium bicarbonate (SB) therapy could be applied to correct potential detrimental acidic disturbances, but the exact impact of SB treatment is unknown. This study aims to investigate the impact of SB on AP patients complicated with hyperlactatemia. The study was conducted based on the database named Medical Information Mart for Intensive Care-IV (MIMIC-IV). Propensity matching (PSM) and inverse probability weighting (IPTW) were used to balance the baseline differences. Multivariate regression and marginal structural Cox models were performed to investigate the association between SB and multiple outcomes. Three hundred fifty-three AP patients with hyperlactatemia (initial serum lactate, >2.0 mmol/L) were extracted from the MIMIC-IV database. We found that SB treatment was significantly associated with worse multi-outcomes of AP patients with hyperlactatemia (in-hospital mortality: hazard ratio, 2.46; 95% confidence interval, 1.38-4.39; P < 0.01). Further analysis through marginal structural Cox models showed that SB had adverse impact on in-hospital prognosis of patients with severe lactic acidosis (pH < 7.15,lactate > 2.0 mmol/L). Sodium bicarbonate might not be an appropriate treatment for AP patients with hyperlactatemia (lactate > 2.0 mmol/L) or with severe lactic acidosis (pH < 7.15, lactate > 2.0 mmol/L).

Effects of Low-Osmolar Contrast Media on Long-Term Renal Impairment After Coronary Angiography: Iohexol Versus Iopromide

To investigate the long-term effects of 2 commonly used low-osmolar contrast media, iohexol and iopromide, on renal function and survival in patients who underwent coronary angiography. A total of 14,141 cardiology patients from 2006 to 2013 were recruited, of whom 1,793 patients (679 patients on iohexol and 1,114 on iopromide) were evaluated for long-term renal impairment and 5,410 patients (1,679 patients on iohexol and 3,731 on iopromide) were admitted for survival analyses spanning as long as 15years. Univariate and multivariate logistic regression were used to explore the risk factors for long-term renal impairment. Cox proportional hazard regression was used to investigate the risk factors affecting survival. Propensity score matching and inverse probability of treatment weighting were applied to balance the baseline clinical characteristics. Patients receiving iohexol demonstrated a greater occurrence of renal impairment compared with those who received iopromide. Such difference remained consistent both before and after propensity score matching or inverse probability of treatment weighting, with a statistical significance of p <0.05. Among clinical variables, receiving contrast-enhanced contrast tomography/magnetic resonance imaging during follow-up, antihypertensive medication usage, presence of proteinuria, and anemia were identified as risk factors for long-term renal impairment (p = 0.041, 0.049, 0.006, and 0.029, respectively). During survival analyses, the difference was insignificant after propensity score matching and inverse probability of treatment weighting. In conclusion, administration of iohexol was more likely to induce long-term renal impairment than iopromide, particularly among patients diagnosed with anemia and proteinuria and those taking antihypertensive medication and with additional contrast exposure. The all-cause mortality, however, showed no significant difference between iohexol and iopromide administration.