BACKGROUND: Stroke is a leading cause of disability and mortality globally. This study aimed to develop a prognostic nomogram based on neutrophil-to-albumin ratio (NAR) and collateral status in acute ischemic stroke (AIS) patients with anterior large vessel occlusion (LVO).
METHODS: 590 AIS patients with LVO assessed for regional leptomeningeal collateral (rLMC) were retrospectively enrolled, and randomly divided into a training set (n = 414) and a testing set (n = 176). Unfavorable functional outcome was defined as a modified Rankin scale (mRS) score of 3 to 6 at 3 months. We assessed the accuracy and clinical utility of the nomogram using calibration plots, area under the curve (AUC), decision curve analysis (DCA), net reclassification index (NRI), and integrated discrimination improvement (IDI).
RESULTS: Both NAR and rLMC were independently associated with unfavorable outcome at 3 months (OR=8.96, p=0.0341; OR=0.89, p=0.0002, respectively). The developed nomogram (akaike information criterion (AIC)=398.77), which included NAR, rLMC and other factors, showed good performance (the AUC for the development and validation cohorts was 0.848 and 0.840 respectively) and improved the predictive value compared to a model without NAR and rLMC, according to an overall NRI of 3.27% (p=0.2401), overall IDI of 3.27% (p=0.2414), and a higher AUC (0.848 vs 0.831).
CONCLUSIONS: NAR can serve as an independent predictor in AIS patients with anterior LVO, and the nomogram incorporating NAR and rLMC is reliable in predicting unfavorable outcome. Further studies with larger sample sizes are needed to validate and extend these findings.

BACKGROUND: Neutrophil-To-Albumin Ratio (NAR) is a novel inflammatory biomarker. However, the potential prognostic value of NAR in acute ischemic stroke (AIS) remains unclear. This study aimed to evaluate whether NAR levels correlated with the 3-month modified Rankin scale (mRS) in patients with AIS.
METHODS: AIS patients were included in this retrospective study. NAR was calculated as the ratio of absolute neutrophil count to serum albumin level. Logistic regression analyses were used to investigate the effect of NAR on 3-month mRS of AIS. The predictive values of NAR, albumin level, and neutrophil count were compared utilizing receiver operating characteristic (ROC) curves. Moreover, subgroup analyses and interaction tests were conducted to evaluate the consistency of NAR\'s effect on AIS prognosis.
RESULTS: Of the 780 patients included, 403 (51.67%) had a poor clinical outcome (mRS 3-6) at 3 months. NAR was independently correlated to 3-month poor functional outcome after adjusting for confounders (Odds ratios (OR), 9.34; 95% confidence intervals (CI), 1.09 to 80.13; p =0.0417). Subgroup analysis showed a relative effect consistent with the overall population results, and no statistical interactions were found in the subgroups (all p for interaction > 0.05). The ROC curve showed that the prognosis-related cutoff value for NAR was 0.123, with corresponding specificity and sensitivity of 53.55% and 63.94%, respectively. When comparing the predictive power, NAR (0.590; 95%CI 0.549-0.630) exhibited the highest area under the curve (AUC) of ROC compared to neutrophils (0.584; 95%CI 0.543-0.624) and albumin (0.540; 95%CI 0.500-0.581).
CONCLUSIONS: There is a positive relationship between NAR levels and 3-month poor functional outcomes in AIS patients, supporting the potential of NAR as a readily available and economic serum biomarker for the early identification of AIS prognosis. Further studies are required to validate the prognostic value and clinical utility of the NAR.

UNASSIGNED: Multiple myeloma (MM) is a malignant disease characterized by a single clonal proliferation of B cell-derived plasma cells in the bone marrow. It is the second most common haematologic malignancy in adults. The objective of this retrospective study is to evaluate the diagnostic and prognostic value of haematologic parameters in MM.
UNASSIGNED: The difference of NLR/ALB ratio (NAR) and NLR/HDL-C ratio (NHR) between the 151 newly diagnosed MM patients and 153 healthy controls was compared. According to NAR and NHR cutoff values obtained from the ROC curve, MM patients were divided into low group and high group. The differences in hematological parameters and survival time between the two groups were compared. Independent prognostic analysis was performed using Cox proportional hazard regression model.
UNASSIGNED: The NAR and NHR values in MM group were significantly higher than those in control group (P < 0.001). Higher NAR levels were significantly associated with lower albumin (ALB), higher β2 microglobulin(β2-MG), higher creatinine (Crea), and highe ISS stage (All P<0.05). High NHR group was significantly correlated with age , β2-MG and ISS stage (All P<0.05). In high NAR or NHR groups, OS and DFS was significantly shortened and the prognosis was poor (P < 0.05). Multivariate analysis showed that PLT, ISS stage and NAR were independent prognostic indicators of OS in MM patients, while ALB, PLT and NAR were independent prognostic factors of DFS.
UNASSIGNED: NAR and NHR are inexpensive, readily available diagnostic indicators for MM, and NAR is an independent prognostic factor for MM.

BACKGROUND: Studies have demonstrated that non-acid reflux (NAR) is associated with esophageal squamous cell carcinoma (ESCC). Esophageal dysmotility is associated with NAR but few studies have focused on the esophageal motility of ESCC patients. We explored the relationship between ESCC, NAR and esophageal dysmotility with the aid of multichannel intraluminal impedance and pH (MII-pH) and high-resolution manometry (HRM).
METHODS: From Jan 2021 to Oct 2022, 20 patients with superficial ESCC were enrolled as the ESCC group, while 20 age and gender matched individuals without gastroesophageal reflux disease (GERD) symptoms and 20 age and gender matched patients with GERD symptoms were recruited as the control groups. Patients received 24 h MII-pH and HRM procedure before endoscopic submucosal dissection (ESD), and the data were then collected to identify the type of reflux and esophageal dysmotility.
RESULTS: Prevalence of esophageal dysmotility was significantly different among the three groups, 75.0% in the ESCC group, 35.0% in the non-GERD group and 70.0% in the GERD group (P = 0.029). NAR episodes at 15 cm above the lower esophageal sphincter (LES) in the ESCC group were significantly higher than that in the non-GERD group (6.5 (3.5-9.3) vs 1.0 (0.8-4.0), P = 0.001) and were similar with that in the GERD group (6.5 (3.5-9.3) vs 5.5 (3.0-10.5), P > 0.05). NAR episodes at 5 cm above LES was significantly higher in the ESCC group than that in the non-GERD group (38.0 (27.0-60.0) vs 18.0 (11.8-25.8), P = 0.001) and was significantly higher than that in the GERD group (38.0 (27.0-60.0) vs 20.0 (9.8-30.5)), P = 0.010). Prevalence of pathologic non-acid reflux was significantly different among the three groups, 30.0% in the ESCC group, 0.0% in the non-GERD group and 10.0% in the GERD group (P < 0.001).
CONCLUSIONS: Our study found NAR and esophageal dysfunction frequently occur in ESCC patients. NAR and esophageal dysmotility may be associated with ESCC.
BACKGROUND: ChiCTR2200061456.

Tuberculosis (TB) affects people globally and is being reconsidered as a serious public health problem in China. Reliable forecasting is useful for the prevention and control of TB. This study proposes a hybrid model combining autoregressive integrated moving average (ARIMA) with a nonlinear autoregressive (NAR) neural network for forecasting the incidence of TB from January 2007 to March 2016. Prediction performance was compared between the hybrid model and the ARIMA model. The best-fit hybrid model was combined with an ARIMA (3,1,0) × (0,1,1)12 and NAR neural network with four delays and 12 neurons in the hidden layer. The ARIMA-NAR hybrid model, which exhibited lower mean square error, mean absolute error, and mean absolute percentage error of 0·2209, 0·1373, and 0·0406, respectively, in the modelling performance, could produce more accurate forecasting of TB incidence compared to the ARIMA model. This study shows that developing and applying the ARIMA-NAR hybrid model is an effective method to fit the linear and nonlinear patterns of time-series data, and this model could be helpful in the prevention and control of TB.

Phytoestrogens (PEs) are naturally occurring chemical constituents of certain plants. The internal PE exposures, mainly from diet, vary among different populations and in different regions due to various eating habits. To investigate the potential relationship between urinary PE levels and idiopathic male infertility and semen quality in Chinese adult males, 608 idiopathic infertile men and 469 fertile controls were recruited by eligibility screening procedures. Individual exposure to PEs was measured using UPLC-MS/MS as spot urinary concentrations of 6 PEs (daidzein, DAI; equol, EQU; genistein, GEN; naringenin, NAR; coumestrol, COU; and secoisolariciresinol, SEC), which were adjusted with urinary creatinine (CR). Semen quality was assessed by sperm concentration, number per ejaculum and motility. We found that exposures to DAI, GEN and SEC were significantly associated with idiopathic male infertility (P-value for trend=0.036; 0.002; and 0.0001, respectively), while these exposures had stronger association with infertile subjects with at least one abnormal semen parameter than those with all normal semen parameters. Exposures to DAI, GEN and SEC were also related to idiopathic male infertility with abnormal sperm concentration, number per ejaculum and motility (P-value for trend<0.05), while these exposures had stronger association with the infertile men with abnormal sperm number per ejaculum. These findings provide the evidence that PE exposures are related to male reproductive function and raise a public health concern because that exposure to PEs is ubiquitous in China.