Table_1_Trends and predictions of maternal sepsis and other maternal infections among women of childbearing age: a systematic analysis for the global burden of disease study 2019.X... by Hang Qian (444740)

“…The highest disease burden existed in the African Region. From 1990 to 2019, the estimated global age-standardized incidence and mortality rates of MSMIs (AAPC: -1.32, 95% CI: −1.34 to −1.30; AAPC: -3.39, 95% CI: −4.28 to −2.48) in WCBA both demonstrated significant declining trends. …”

Image_4_Trends and predictions of maternal sepsis and other maternal infections among women of childbearing age: a systematic analysis for the global burden of disease study 2019.J... by Hang Qian (444740)

“…The highest disease burden existed in the African Region. From 1990 to 2019, the estimated global age-standardized incidence and mortality rates of MSMIs (AAPC: -1.32, 95% CI: −1.34 to −1.30; AAPC: -3.39, 95% CI: −4.28 to −2.48) in WCBA both demonstrated significant declining trends. …”

Image_3_Trends and predictions of maternal sepsis and other maternal infections among women of childbearing age: a systematic analysis for the global burden of disease study 2019.J... by Hang Qian (444740)

“…The highest disease burden existed in the African Region. From 1990 to 2019, the estimated global age-standardized incidence and mortality rates of MSMIs (AAPC: -1.32, 95% CI: −1.34 to −1.30; AAPC: -3.39, 95% CI: −4.28 to −2.48) in WCBA both demonstrated significant declining trends. …”

Image_1_Trends and predictions of maternal sepsis and other maternal infections among women of childbearing age: a systematic analysis for the global burden of disease study 2019.T... by Hang Qian (444740)

“…The highest disease burden existed in the African Region. From 1990 to 2019, the estimated global age-standardized incidence and mortality rates of MSMIs (AAPC: -1.32, 95% CI: −1.34 to −1.30; AAPC: -3.39, 95% CI: −4.28 to −2.48) in WCBA both demonstrated significant declining trends. …”

Effect of RNAi inhibition of TsNas14 expression on <i>T. spiralis</i> infection. by Qingbo Lv (11631289)

Comparison of neutrophils, lymphocyte and platelet between the two groups. by Changxu Wang (17826805)

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Analysis of correlation of RV-GLS over consecutive quartiles of 25 measurements. by Chantelle M. de Vet (16535257)

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Analysis of correlation of LV-GLS over consecutive quartiles of 25 measurements. by Chantelle M. de Vet (16535257)

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Standard deviation of the difference between the LV-GLS value of the expert and trainees in four consecutive groups of 25 fetal heart clips. by Chantelle M. de Vet (16535257)

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RV-GLS agreement analysis between expert and novice trainees over consecutive quartiles of 25 measurements. by Chantelle M. de Vet (16535257)

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S1 File - by Changxu Wang (17826805)

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Baseline patient characteristics and surgical and anesthetic datas. by Changxu Wang (17826805)

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Standard deviation of the difference between the RV-GLS value of the expert and trainees in four consecutive groups of 25 fetal heart clips. by Chantelle M. de Vet (16535257)

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LV-GLS agreement analysis between expert and trainees over consecutive quartiles of 25 measurements. by Chantelle M. de Vet (16535257)

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GLS analysis with 2D-STE software. by Chantelle M. de Vet (16535257)

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ICC of each trainee RV-GLS value compared with the expert in four consecutive groups of 25 fetal heart clips. by Chantelle M. de Vet (16535257)

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ICC of each trainee LV-GLS value compared with the expert in four consecutive groups of 25 fetal heart clips. by Chantelle M. de Vet (16535257)

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Mean of the difference between the RV-GLS value of the expert and trainees in four consecutive groups of 25 fetal heart clips. by Chantelle M. de Vet (16535257)

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Postoperative pain assessment indexes, nausea and vomiting frequency, and postoperative recovery of patients in two groups. by Changxu Wang (17826805)

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The flow chart of the study. by Changxu Wang (17826805)

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