This study aimed to investigate the associations between the post-wash total progressively motile sperm count(TPMSC)in the first intrauterine insemination(IUI)cycle and pregnancy outcomes of the second IUI cycle.Data ...This study aimed to investigate the associations between the post-wash total progressively motile sperm count(TPMSC)in the first intrauterine insemination(IUI)cycle and pregnancy outcomes of the second IUI cycle.Data were retrieved from the clinical database at the Reproductive Center of Peking University Third Hospital(Beijing,China)between January 2011 and December 2022.Couples were included in this retrospective cohort study if they had unexplained or mild male factor infertility and were treated with IUI for two consecutive cycles using the same protocol.A total of 8290 couples were included in the analysis.The mean±standard deviation(s.d.)age of women was 32.0±3.5 years.We categorized groups based on the post-wash TPMSC(×10^(6))levels in the first IUI cycle:group 1(0<TPMSC<1,n=1290),group 2(1≤TPMSC<2,n=863),group 3(2≤TPMSC<3,n=800),group 4(3≤TPMSC<4,n=783),group 5(4≤TPMSC<5,n=1541),group 6(5≤TPMSC<6,n=522),group 7(6≤TPMSC<7,n=547),group 8(7≤TPMSC<8,n=175),group 9(8≤TPMSC<9,n=556),group 10(9≤TPMSC<10,n=192),and group 11(TPMSC≥10,n=1021).The primary outcome was live birth rate of the second IUI cycle.Live birth rates were 7.9%,5.8%,7.6%,7.4%,7.3%,8.4%,7.5%,7.4%,8.8%,8.9%,and 7.6%in each group,respectively.There were no statistically significant differences in clinical pregnancy rates or live birth rates between any groups and those with the post-wash TPMSC<1×10^(6).In an IUI program for unexplained and mild male factor infertility,the post-wash TPMSC in the first IUI cycle was not significantly associated with the live birth rate in the second IUI cycle.展开更多
CD4 count is the standard method for determining eligibility for highly active antiretroviral therapy （HAART） and monitoring HIV/AIDS disease progression, but it is not widely available in resource-limited settings....CD4 count is the standard method for determining eligibility for highly active antiretroviral therapy （HAART） and monitoring HIV/AIDS disease progression, but it is not widely available in resource-limited settings. This study examined the correlation between total lymphocyte count （TLC） and CD4 count of HIV-infected patients before and after HAART, and assessed the thresholds of TLC for making decisions about the initiation and for monitoring HAART. A retrospective study was performed, and 665 HIV-infected patients with TLC and CD4 count from four counties （Shangcai, Queshan, Shenqiu and Weishi） were included in the study. Pearson correlation and receiver operating characteristic （ROC） were used. TLC and CD4 count after HAART was significantly increased as compared with pre-HAART （P〈0.01）. An overall positive correlation was noted between TLC and CD4 count （pre-HAART, r=0.73, P=0.0001; follow-up HAART, r=0.56, P=0.0001）. The ROC curve between TLC and CD4 count showed that TLC ≤ 1200 cells/mm3 could predict CD4 〈 200 cells/mm3 with a sensitivity of 71.12%, specificity of 66.35% at pre-HAART. After 12-month HAART, the optimum prediction for CD4 count 〈 200 cells/mm3 was a TLC ≤ 1300 cells/mm3, with a sensitivity of 63.27%, and a specificity of 74.84%. Further finding indicated that TLC change was positively correlated to CD4 change （r=0.77, P=0.0001） at the time point of 12-month treatment, and the best prediction point of TLC change for CD4 increasing was 135 cells/mm3. TLC and its change can be used as a surrogate marker for CD4 count and its change of HIV-infected individuals for making decisions about the initiation and for monitoring HAART in resource-limited settings.展开更多
AIM: To study the relationship between platelet count-to-spleen diameter ratio and post-gastrectomy esopha-geal varices (EVs) development in patients without liver cirrhosis or hepatitis. METHODS: We retrospectively s...AIM: To study the relationship between platelet count-to-spleen diameter ratio and post-gastrectomy esopha-geal varices (EVs) development in patients without liver cirrhosis or hepatitis. METHODS: We retrospectively studied 92 patients who underwent gastrectomy. They were divided into 2 groups on the basis of the surgical treatment: the distal gastrectomy (DG) group and total gastrectomy (TG) group. The incidence of EVs was determined and postoperative platelet counts, spleen diameters, and platelet count-to-spleen diameter ratios were com-pared between the 2 groups. RESULTS: EVs were not detected during the first 6 mo after surgery in either group; however, at 12 mo after surgery, EVs were detected in 2 patients (3%) in the DG group and in 1 patient (3.6%) in the TG group; their mean platelet count-to-spleen diameter ratio was 2628 ± 409, and 2604 ± 360, respectively.CONCLUSION: Endoscopy should be performed to detect EVs when the platelet count-to-spleen diameter ratio is < 2600.展开更多
Traffic count is the fundamental data source for transportation planning, management, design, and effectiveness evaluation. Recording traffic flow and counting from the recorded videos are increasingly used due to con...Traffic count is the fundamental data source for transportation planning, management, design, and effectiveness evaluation. Recording traffic flow and counting from the recorded videos are increasingly used due to convenience, high accuracy, and cost-effectiveness. Manual counting from pre-recorded video footage can be prone to inconsistencies and errors, leading to inaccurate counts. Besides, there are no standard guidelines for collecting video data and conducting manual counts from the recorded videos. This paper aims to comprehensively assess the accuracy of manual counts from pre-recorded videos and introduces guidelines for efficiently collecting video data and conducting manual counts by trained individuals. The accuracy assessment of the manual counts was conducted based on repeated counts, and the guidelines were provided from the experience of conducting a traffic survey on forty strip mall access points in Baton Rouge, Louisiana, USA. The percentage of total error, classification error, and interval error were found to be 1.05 percent, 1.08 percent, and 1.29 percent, respectively. Besides, the percent root mean square errors (RMSE) were found to be 1.13 percent, 1.21 percent, and 1.48 percent, respectively. Guidelines were provided for selecting survey sites, instruments and timeframe, fieldwork, and manual counts for an efficient traffic data collection survey.展开更多
基金supported by National Key Research and Development Program(2022YFC2705305)clinical key project of Peking University Third Hospital(BYSYZD2023007)National Science Fund for Distinguished Young Scholars(81925013).
文摘This study aimed to investigate the associations between the post-wash total progressively motile sperm count(TPMSC)in the first intrauterine insemination(IUI)cycle and pregnancy outcomes of the second IUI cycle.Data were retrieved from the clinical database at the Reproductive Center of Peking University Third Hospital(Beijing,China)between January 2011 and December 2022.Couples were included in this retrospective cohort study if they had unexplained or mild male factor infertility and were treated with IUI for two consecutive cycles using the same protocol.A total of 8290 couples were included in the analysis.The mean±standard deviation(s.d.)age of women was 32.0±3.5 years.We categorized groups based on the post-wash TPMSC(×10^(6))levels in the first IUI cycle:group 1(0<TPMSC<1,n=1290),group 2(1≤TPMSC<2,n=863),group 3(2≤TPMSC<3,n=800),group 4(3≤TPMSC<4,n=783),group 5(4≤TPMSC<5,n=1541),group 6(5≤TPMSC<6,n=522),group 7(6≤TPMSC<7,n=547),group 8(7≤TPMSC<8,n=175),group 9(8≤TPMSC<9,n=556),group 10(9≤TPMSC<10,n=192),and group 11(TPMSC≥10,n=1021).The primary outcome was live birth rate of the second IUI cycle.Live birth rates were 7.9%,5.8%,7.6%,7.4%,7.3%,8.4%,7.5%,7.4%,8.8%,8.9%,and 7.6%in each group,respectively.There were no statistically significant differences in clinical pregnancy rates or live birth rates between any groups and those with the post-wash TPMSC<1×10^(6).In an IUI program for unexplained and mild male factor infertility,the post-wash TPMSC in the first IUI cycle was not significantly associated with the live birth rate in the second IUI cycle.
基金supported by a grant from the Key Projects in the National Science & Technology Pillar Program during the Eleventh Five-Year Plan Period of China (No. 2009ZX10001-017)
文摘CD4 count is the standard method for determining eligibility for highly active antiretroviral therapy （HAART） and monitoring HIV/AIDS disease progression, but it is not widely available in resource-limited settings. This study examined the correlation between total lymphocyte count （TLC） and CD4 count of HIV-infected patients before and after HAART, and assessed the thresholds of TLC for making decisions about the initiation and for monitoring HAART. A retrospective study was performed, and 665 HIV-infected patients with TLC and CD4 count from four counties （Shangcai, Queshan, Shenqiu and Weishi） were included in the study. Pearson correlation and receiver operating characteristic （ROC） were used. TLC and CD4 count after HAART was significantly increased as compared with pre-HAART （P〈0.01）. An overall positive correlation was noted between TLC and CD4 count （pre-HAART, r=0.73, P=0.0001; follow-up HAART, r=0.56, P=0.0001）. The ROC curve between TLC and CD4 count showed that TLC ≤ 1200 cells/mm3 could predict CD4 〈 200 cells/mm3 with a sensitivity of 71.12%, specificity of 66.35% at pre-HAART. After 12-month HAART, the optimum prediction for CD4 count 〈 200 cells/mm3 was a TLC ≤ 1300 cells/mm3, with a sensitivity of 63.27%, and a specificity of 74.84%. Further finding indicated that TLC change was positively correlated to CD4 change （r=0.77, P=0.0001） at the time point of 12-month treatment, and the best prediction point of TLC change for CD4 increasing was 135 cells/mm3. TLC and its change can be used as a surrogate marker for CD4 count and its change of HIV-infected individuals for making decisions about the initiation and for monitoring HAART in resource-limited settings.
文摘AIM: To study the relationship between platelet count-to-spleen diameter ratio and post-gastrectomy esopha-geal varices (EVs) development in patients without liver cirrhosis or hepatitis. METHODS: We retrospectively studied 92 patients who underwent gastrectomy. They were divided into 2 groups on the basis of the surgical treatment: the distal gastrectomy (DG) group and total gastrectomy (TG) group. The incidence of EVs was determined and postoperative platelet counts, spleen diameters, and platelet count-to-spleen diameter ratios were com-pared between the 2 groups. RESULTS: EVs were not detected during the first 6 mo after surgery in either group; however, at 12 mo after surgery, EVs were detected in 2 patients (3%) in the DG group and in 1 patient (3.6%) in the TG group; their mean platelet count-to-spleen diameter ratio was 2628 ± 409, and 2604 ± 360, respectively.CONCLUSION: Endoscopy should be performed to detect EVs when the platelet count-to-spleen diameter ratio is < 2600.
文摘Traffic count is the fundamental data source for transportation planning, management, design, and effectiveness evaluation. Recording traffic flow and counting from the recorded videos are increasingly used due to convenience, high accuracy, and cost-effectiveness. Manual counting from pre-recorded video footage can be prone to inconsistencies and errors, leading to inaccurate counts. Besides, there are no standard guidelines for collecting video data and conducting manual counts from the recorded videos. This paper aims to comprehensively assess the accuracy of manual counts from pre-recorded videos and introduces guidelines for efficiently collecting video data and conducting manual counts by trained individuals. The accuracy assessment of the manual counts was conducted based on repeated counts, and the guidelines were provided from the experience of conducting a traffic survey on forty strip mall access points in Baton Rouge, Louisiana, USA. The percentage of total error, classification error, and interval error were found to be 1.05 percent, 1.08 percent, and 1.29 percent, respectively. Besides, the percent root mean square errors (RMSE) were found to be 1.13 percent, 1.21 percent, and 1.48 percent, respectively. Guidelines were provided for selecting survey sites, instruments and timeframe, fieldwork, and manual counts for an efficient traffic data collection survey.
