Prediction of in vitro fertilization outcome at different antral follicle count thresholds combined with female age, female cause of infertility, and ovarian response in a prospective cohort of 8269 women.

Antral follicle count (AFC) has been widely investigated for the prediction of clinical pregnancy or live birth. This study discussed the effects of AFC quartile levels on pregnancy outcomes combined with female age, female cause of infertility, and ovarian response undergoing in vitro fertilization (IVF) treatment. At present, many research about AFC mainly discuss its impact on clinical practice at different thresholds, or the analyses of AFC with respect to assisted reproductive technology outcomes under using different ovarian stimulation protocols. Factors that include ovarian sensitivity index, female age, and infertility cause are all independent predictors of live birth undergoing IVF/intracytoplasmic sperm injection, while few researchers discussed influence of female-related factors for clinical outcomes in different AFC fields.A total of 8269 infertile women who were stimulated with a long protocol with normal menstrual cycles were enrolled in the study, and patients were categorized into 4 groups based on AFC quartiles (1-8, 9-12, 13-17, and ≥18 antral follicles).The clinical pregnancy rates increased in the 4 AFC groups (28.25% vs 35.38% vs 37.38% vs 40.13%), and there was a negative association between age and the 4 AFC groups. In addition, female cause of infertility like polycystic ovary syndrome, Tubal factor, and other causes had great significance on clinical outcome, and ovarian response in medium (9-16 oocytes retrieved) had the highest clinical pregnancy rate at AFC quartiles of 1 to 8, 9 to 12, 13 to 17, and ≥18 antral follicles.This study concludes that the female-related parameters (female cause of infertility, female age, and ovarian response) combined with AFC can be useful to estimate the probability of clinical pregnancy.

Artificial intelligence in reproductive medicine.

Artificial intelligence (AI) has experienced rapid growth over the past few years, moving from the experimental to the implementation phase in various fields, including medicine. Advances in learning algorithms and theories, the availability of large datasets and improvements in computing power have contributed to breakthroughs in current AI applications. Machine learning (ML), a subset of AI, allows computers to detect patterns from large complex datasets automatically and uses these patterns to make predictions. AI is proving to be increasingly applicable to healthcare, and multiple machine learning techniques have been used to improve the performance of assisted reproductive technology (ART). Despite various challenges, the integration of AI and reproductive medicine is bound to give an essential direction to medical development in the future. In this review, we discuss the basic aspects of AI and machine learning, and we address the applications, potential limitations and challenges of AI. We also highlight the prospects and future directions in the context of reproductive medicine.

Prognostic Value of D-Dimer in Patients with Diffuse Large B-cell Lymphoma: A Retrospective Study.

This study evaluated the significance of serum D-Dimer for predicting survival of patients with diffuse large B-cell lymphoma (DLBCL). We analyzed the clinical data from 113 patients who were newly diagnosed with DLBCL at Tongji Hospital from January 2012 to January 2016. The results indicated that there were higher levels of D-Dimer in DLBCL patients with the following characteristics: stage III/IV, lymphocyte monocyte ratio (LMR) <2.27, lactate dehydrogenase (LDH) > upper limit of normal (ULN), albumin (ALB) < 35 g/L, and anemia. After the first chemotherapeutic regimen, D-Dimer was significantly decreased concomitantly with LDH. Cox univariate regression analysis showed that the overall survival (OS) was negatively affected by the following factors: age > 60 years, stage III/W, LDH > ULN, LMR < 2.27, anemia and D-Dimer > 0.92. Multivariate analysis showed that only LDH > ULN (P=0.038) and age > 60 years (P=0.047) were independent adverse prognostic factors. However, it was suggested that D-Dimer could be regarded as a marker of high tumor burden and a potential prognostic screening tool for patients with DLBCL, not otherwise specified (NOS).

MiRNA-99a can regulate proliferation and apoptosis of human granulosa cells via targeting IGF-1R in polycystic ovary syndrome.

PURPOSE: We aimed to evaluate the regulation of miR-99a to the biological functions of granulosa cells in polycystic ovary syndrome (PCOS) via targeting IGF-1R. METHODS: We collected aspirated follicular fluid in both patients with and without PCOS. Granulosa cells (GCs) were isolated through Percoll differential centrifugation to detect both miR-99a and IGF-1R expressions. We further transfected COV434 cells with miR-99a mimics to establish a miRNA-99a (miR-99a) overexpression model. We explored the regulation of miR-99a to the proliferation and apoptosis of human GCs via IGF-1R in COV434. The effect of different insulin concentrations on miR-99a expression was also evaluated. RESULTS: MiR-99a was significantly downregulated while IGF-1R was upregulated in patients with PCOS. MiR-99a can regulate IGF-1R on a post-transcriptional level. After transfection of miR-99a mimics, the proliferation rate was decreased and apoptosis rate was increased significantly in COV434. Exogenous insulin-like growth factor 1 (IGF-1) treatment could reverse the effect of miR-99a. MiR-99a was negatively and dose-dependently regulated by insulin in vitro. CONCLUSIONS: MiR-99a expression was downregulated in patients with PCOS, the degree of which may be closely related to insulin resistance and hyperinsulinemia. MiR-99a could attenuate proliferation and promote apoptosis of human GCs through targeting IGF-1R, which could partly explain the abnormal folliculogenesis in PCOS.

GnRH antagonist versus follicular-phase single-dose GnRH agonist protocol in patients of normal ovarian responses during controlled ovarian stimulation.

OBJECTIVE: This study aims to explore the differences of the ovarian stimulation (OS) characteristics, laboratory, and clinical outcomes between follicular-phase single-dose gonadotropin-releasing hormone (GnRH) agonist protocol and GnRH antagonist protocol during controlled ovarian hyperstimulation (COH). METHODS: About 1883 consecutive IVF/ICSI fresh cycles of normal ovarian responders were retrospectively analyzed, with 1229 in the single-dose GnRH agonist protocol group and 654 in the GnRH antagonist protocol group at Reproductive Medical Center of Tongji Hospital from 1 January 2014 to 31 December 2017. RESULTS: The follicular-phase single-dose GnRH agonist group showed significantly more oocytes obtained, higher implantation rate and pregnancy rate, as well as lower luteinizing hormone (LH) level and estradiol (E2)/oocyte ratio on the day of human chorionic gonadotropin (hCG) administration. However, differences were not significant in meiosis II (MII) oocyte rate, two pronuclear zygote (2PN) embryo rate, viable embryo rate or high-quality embryo rate, compared with the GnRH antagonist group. Further comparison of clinical outcomes in the first frozen-thawed cycles did not show significant difference in either implantation or clinical pregnancy rate between the two protocol groups. CONCLUSIONS: Follicular-phase single-dose GnRH agonist protocol may achieve better clinical outcomes in normal ovarian responders, which could be explained more by positive effect on endometrial receptivity rather than embryo quality.

Single extracorporeal shock-wave lithotripsy for proximal ureter stones: Can CT texture analysis technique help predict the therapeutic effect?

PURPOSE: To explore whether the computed tomography texture analysis (CTTA) technique can help predict the curative effects of a single extracorporeal shock-wave lithotripsy (ESWL) for proximal ureteral stones. MATERIALS AND METHODS: In all, 100 patients with proximal ureteral stone underwent non-enhanced multi-detector computed tomography (MDCT) before ESWL. The patients were divided into success and failure groups. Success of ESWL was defined as the patients being stone-free or having residual stone fragments of ≤2 mm. Traditional characteristics, such as stone size, body mass index (BMI), and skin-to-stone distance (SSD), and CTTA metrics, such as the mean Hounsfield unit (HU) density, entropy, kurtosis, and skewness, were analyzed and compared between two groups by univariate and multivariate logistic regression analyses. Receiver operating characteristic (ROC) curves were generated to determine Youden index-based cutoff values. RESULT: Failure of stone removal was observed in 36 patients (36%). Stone height, stone cross-sectional diameter, largest cross-sectional area, stone volume, stone density (mean HU), and CTTA metrics (kurtosis and entropy) were the significant independent predictors of ESWL success on univariate analysis (p < 0.05). On multivariate analysis, mean HU, skewness, and kurtosis were shown to be significant predictors of ESWL success (p < 0.05). In subgroup analysis based on the cutoff value of mean stone density (HU = 857), the only significant independent factor associated with both subgroups was kurtosis (p < 0.05). CONCLUSIONS: As a quantitative analysis method, CTTA may be helpful in selecting appropriate ESWL patients. High kurtosis and low mean HU values simultaneously indicate a relatively higher ESWL success rate.

Using Both Lactic Dehydrogenase Levels and the Ratio of Involved to Uninvolved Free Light Chain Levels as Risk Factors Improves Risk Assessment in Patients With Newly Diagnosed Multiple Myeloma.

BACKGROUND: This study aimed to evaluate the prognostic value of the ratio of involved to uninvolved free light chain (rFLC) levels and lactic dehydrogenase (LDH) levels in the risk stratification of patients with multiple myeloma (MM). MATERIALS AND METHODS: Clinical data of 283 patients with newly diagnosed MM were retrospectively analyzed. RESULTS: In the traditional chemotherapy group, patients with an rFLC < 100 had a better prognosis than those with an rFLC ≥ 100 (40 months versus 6 months, P = 0.022), as did patients with an LDH ≤ upper limit of normal (ULN) compared to those with an LDH > ULN (29 months versus 6 months, P = 0.023). In patients who underwent novel drug-combined therapy, no significant difference was observed between the rFLC < 100 group and the rFLC ≥ 100 group (54 months versus median not reached, P = 0.508). However, patients with an LDH ≤ ULN had a better prognosis than those with an LDH > ULN (60 months versus 21 months, P = 0.004). Using an rFLC ≥ 100 and an LDH ≥ ULN as adverse risk factors, patients were classified into 3 groups: group 1 (no adverse risk factors), group 2 (1 adverse risk factor) and group 3 (2 adverse risk factors). The median overall survival (OS) of groups 1, 2 and 3 was 52 months, 34 months and 15 months, respectively (P = 0.001). CONCLUSIONS: rFLC and LDH levels were sensitive prognostic factors in MM patients, combining them could improve the risk stratification and treatment choice of patients in clinical practice.

The effect of premature luteinizing hormone increases among high ovarian responders undergoing a gonadotropin-releasing hormone antagonist ovarian stimulation protocol.

OBJECTIVE: To explore factors causing a premature rise in luteinizing hormone among high ovarian responders undergoing the gonadotropin-releasing hormone (GnRH) antagonist ovarian stimulation protocol. METHODS: The present retrospective study included healthy women undergoing fresh cycles using a fixed GnRH antagonist protocol with a predicted high response and antral follicle count (AFC) of at least 15 at the Reproductive Medicine Center of Tongji Hospital, China, between January 1 and December 31, 2016. Treatment-related characteristics, hormone changes, and pregnancy outcomes were compared between patients who did or did not experience a premature luteinizing hormone rise. RESULTS: There were 314 patients included; 49 experienced premature luteinizing hormone increases. Among patients who experienced a premature rise in luteinizing hormone, a lower two pronuclear embryo rate (P=0.038); fewer high-quality embryos (P=0.020); higher serum luteinizing hormone (P=0.006), progesterone (P=0.013), and estradiol (E2) levels (P=0.003) on the day of human chorionic gonadotropin administration; a lower clinical pregnancy rate (P=0.031); and a higher cancellation rate (P=0.006) were observed. AFC of at least 22 (P=0.001) and E2 of 669 pg/mL or higher at the start of GnRH antagonist administration were predictive of early (P=0.036) and late (P=0.033) premature luteinizing hormone increases. CONCLUSION: Earlier administration of GnRH antagonist could avoid premature luteinizing hormone increases among high ovarian responders, especially those with a starting AFC of 22 or more.

Tubeless versus standard percutaneous nephrolithotomy: an update meta-analysis.

BACKGROUND: To update a previously published systematic review and meta-analysis on the efficacy and safety of tubeless percutaneous nephrolithotomy (PCNL). METHODS: A systematic literature search of EMBASE, PubMed, Web of Science, and the Cochrane Library was performed to confirm relevant studies. The scientific literature was screened in accordance with the predetermined inclusion and exclusion criteria. After quality assessment and data extraction from the eligible studies, a meta-analysis was conducted using Stata SE 12.0. RESULTS: Fourteen randomized controlled trials (RCTs) involving 1148 patients were included. Combined results demonstrated that tubeless PCNL was significantly associated with shorter operative time (weighted mean difference [WMD], -3.79 min; 95% confidence interval [CI], -6.73 to -0.85; P = 0.012; I2 = 53.8%), shorter hospital stay (WMD, -1.27 days; 95% CI, -1.65 to -0.90; P < 0.001; I2 = 98.7%), faster time to return to normal activity (WMD, -4.24 days; 95% CI, -5.76 to -2.71; P < 0.001; I2 = 97.5%), lower postoperative pain scores (WMD, -16.55 mm; 95% CI, -21.60 to -11.50; P < 0.001; I2 = 95.7%), less postoperative analgesia requirements (standard mean difference, -1.09 mg; 95% CI, -1.35 to -0.84; P < 0.001; I2 = 46.8%), and lower urine leakage (Relative risk [RR], 0.30; 95% CI 0.15 to 0.59; P = 0.001; I2 = 41.2%). There were no significant differences in postoperative hemoglobin reduction (WMD, -0.02 g/dL; 95% CI, -0.04 to 0.01; P = 0.172; I2 = 41.5%), stone-free rate (RR, 1.01; 95% CI, 0.97 to 1.05; P = 0.776; I2 = 0.0%), postoperative fever rate (RR, 1.05; 95% CI, 0.57 to 1.93; P = 0.867; I2 = 0.0%), or blood transfusion rate (RR, 0.79; 95% CI, 0.36 to 1.70; P = 0.538; I2 = 0.0%). The results of subgroup analysis were consistent with the overall findings. The sensitivity analysis indicated that most results remained constant when total tubeless or partial tubeless or mini-PCNL studies were excluded respectively. CONCLUSIONS: Tubeless PCNL is an available and safe option in carefully evaluated and selected patients. It is significantly associated with the advantages of shorter hospital stay, shorter time to return to normal activity, lower postoperative pain scores, less analgesia requirement, and reduced urine leakage.

The Value of Thromboelastography for Bleeding Risk Prediction in Hematologic Diseases.

BACKGROUND: This study aimed to explore the correlations between thromboelastography (TEG) parameters with platelet (PLT) count and fibrinogen and to evaluate the value of the maximal amplitude (MA) for bleeding risk prediction. METHODS: A total of 1,559 patients with hematologic diseases underwent PLT counting and TEG tests, and 1,201 of these patients underwent conventional coagulation tests. Patients were divided into a bleeding group and a nonbleeding group according to their clinical records. RESULTS: Patients in the bleeding group had lower PLT counts, α-angle values, MA values and higher K values (all P < 0.05) than patients in the nonbleeding group. Low PLT counts (≤30 × 109/L) were found in 265 patients and bleeding episodes occurred in 109 patients (41.13%). A total of 99 patients had both low MA values and bleeding episodes in this subgroup. A total of 124 of the 265 patients (46.79%) had hematological malignancies. In the 2 different types of diseases, there was a similar tendency in bleeding risk prediction according to the receiver operating characteristic curves. The curves using both the PLT counts and MA values show a higher sensitivity and a slightly lower specificity than those of the PLT count or MA alone. CONCLUSIONS: There are some correlations between the TEG parameters and the traditional hemostatic parameters. The combination of the PLT counts and MA values had greater predictive value for bleeding risk in hematological diseases when the PLT counts were at a low level (≤30 × 109/L).

The Prognostic Value of D-Dimer in De Novo Acute Myeloid Leukemia.

BACKGROUND: The aim of this study was to evaluate the prognostic value of D-dimer in patients with newly diagnosed de novo non-M3 subtypes of acute myeloid leukemia (AML). MATERIALS AND METHODS: We retrospectively analyzed the clinical data from 245 patients with newly diagnosed de novo non-M3 subtypes of AML at the Tongji Hospital from January 2010 to December 2014. RESULTS: The comparison results indicated that the D-dimer values were higher in patients with AML with the following characteristics: WBC count ≥ 20 × 10(9)/L (2.20 versus 6.00, P = 0.001), percentage of bone marrow (BM) blasts ≥ 60% (2.06 versus 5.69, P = 0.003), and poor-risk stratification (P < 0.001). Cox univariate regression analysis showed that overall survival was negatively affected by the following factors: age > 60 years, poor-risk stratification, BM blast cell count ≥60%, and D-dimer ≥1µg/mL. Multivariate analysis showed that only age > 60 years (P < 0.001), BM blast cell counts ≥60% (P = 0.001) and D-dimer values ≥1µg/mL (P = 0.014) were independent adverse prognostic factors. CONCLUSIONS: D-dimer ≥1µg/mL is related to high tumor burden and can be considered as an independent prognostic factor in patients with de novo non-M3 AML.