Analysis of factors related to preterm birth: a retrospective study at Nanjing Maternity and Child Health Care Hospital in China

Abstract Purpose: Neuroendocrine cervical carcinoma (NECC) is an uncommon malignancy of the female reproductive system. This study aimed to evaluate the cancer-specific mortality and to construct prognostic nomograms for predicting the survival of patients with NECC.Methods: we assembled the patients with NECC diagnosed between 2004 to 2015 from the Surveillance, Epidemiology, and End Results (SEER) database. Meanwhile, we identified other patients with NECC from the Wenling Maternal and Child Health Care Hospital between 2002 to 2017. Fine and Gray’s test and Kaplan-Meier methods were used to evaluate cancer-specific mortality and overall survival (OS) rates, respectively. Nomograms were constructed for predicting cancer-specific survival (CSS) and OS for patients with NECC. The developed nomograms were validated both internally and externally.Results: a total of 894 patients with NECC extracted from the SEER database, then classified them into the training cohort (n=628) and the internal validation cohort (n=266). Besides, 106 patients from the Wenling Maternal and Child Health Care Hospital served as an external validation cohort. Nomograms for predicting CSS and OS were constructed on clinical predictors. The validation of nomograms was calculated by calibration curves and concordance indexes (C-indexes). Furthermore, the developed nomograms presented higher areas under the receiver operating characteristic (ROC) curves when compared to the FIGO staging system.Conclusions: we established the first competing risk nomograms to predict the survival of patients with NECC. Such a model with excellent performance could be a practical tool for clinicians.

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Complaint Analysis of 48 Cases of Pediatrics in a Secondary Maternal and Child Health Care Hospital in Beijing

10.47939/mh.v2i12.303 ◽

2012 ◽

Keyword(s):

Health Care ◽

Child Health ◽

Maternal And Child Health ◽

Child Health Care ◽

Care Hospital ◽

And Child Health

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Current antimicrobial susceptibility pattern of uropathogens in a maternal and child health care hospital in Bangladesh

Indian Journal of Microbiology Research ◽

10.18231/j.ijmr.2019.029 ◽

2019 ◽

Vol 6 (2) ◽

pp. 135-141

Author(s):

Ritu Saha ◽

◽

Afzalunnessa Binte Lutfor ◽

Arpita Deb ◽

Taskina Akhter ◽

...

Keyword(s):

Health Care ◽

Child Health ◽

Maternal And Child Health ◽

Antimicrobial Susceptibility ◽

Child Health Care ◽

Care Hospital ◽

Susceptibility Pattern ◽

Antimicrobial Susceptibility Pattern ◽

And Child Health

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Construction and validation of the prognostic model for patients with neuroendocrine cervical carcinoma: a competing risk nomogram analysis

BMC Cancer ◽

10.1186/s12885-021-09104-9 ◽

2022 ◽

Vol 22 (1) ◽

Author(s):

Ai-Guo Jiang ◽

Xu Cai

Keyword(s):

Health Care ◽

Child Health ◽

Maternal And Child Health ◽

Validation Cohort ◽

Child Health Care ◽

Care Hospital ◽

Seer Database ◽

Specific Mortality ◽

Cancer Specific Mortality ◽

And Child Health

Abstract Purpose Neuroendocrine cervical carcinoma (NECC) is an uncommon malignancy of the female reproductive system. This study aimed to evaluate cancer-specific mortality and to construct prognostic nomograms for predicting the survival of patients with NECC. Methods we assembled the patients with NECC diagnosed between 2004 to 2015 from the Surveillance, Epidemiology, and End Results (SEER) database. Meanwhile, we identified other patients with NECC from the Wenling Maternal and Child Health Care Hospital between 2002 to 2017. Fine and Gray’s test and Kaplan–Meier methods were used to evaluate cancer-specific mortality and overall survival (OS) rates, respectively. Nomograms were constructed for predicting cancer-specific survival (CSS) and OS for patients with NECC. The developed nomograms were validated both internally and externally. Results a total of 894 patients with NECC were extracted from the SEER database, then classified into the training cohort (n = 628) and the internal validation cohort (n = 266). Besides, 106 patients from the Wenling Maternal and Child Health Care Hospital served as an external validation cohort. Nomograms for predicting CSS and OS were constructed on clinical predictors. The validation of nomograms was calculated by calibration curves and concordance indexes (C-indexes). Furthermore, the developed nomograms presented higher areas under the receiver operating characteristic (ROC) curves when compared to the FIGO staging system. Conclusions we established the first competing risk nomograms to predict the survival of patients with NECC. Such a model with high predictive accuracy could be a practical tool for clinicians.

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Antimicrobial resistance of Klebsiella Pneumoniae Pathogens in 2019 of Shaoxing City, Zhejiang Province: A Multi-Centre, Retrospective Study

10.21203/rs.3.rs-132287/v1 ◽

2020 ◽

Author(s):

Meichun Liang ◽

Guofeng Mao ◽

Xiaojiao Zhang ◽

Qiuli He ◽

Qunhua Ying ◽

...

Keyword(s):

Health Care ◽

Drug Resistance ◽

Child Health ◽

Drug Susceptibility ◽

Resistance Rate ◽

Child Health Care ◽

Care Hospital ◽

Tertiary Hospitals ◽

Resistance Rates ◽

And Child Health

Abstract Background: The detection rate and drug resistance rate of K. pneumoniae increased year by year in China. Understanding the drug resistance situation will help guide prevention and control of K. pneumoniae infection. Methods: This study collected the results of drug susceptibility of K. pneumoniae from six tertiary hospitals in Shaoxing city in 2019 and analyzed the differences in drug resistance among different hospitals, genders, ages, and specimens. Results: A total of 1954 strains were collected, all of which were most sensitive to amikacin, with a resistance rate of 4.42%. The resistance rate to carbapenems and tigecycline was less than 10%. Nitrofurantoin had the highest resistance rate (36.18%). The drug resistance rate of Shaoxing traditional Chinese medicine hospital and Shaoxing maternity and child health care hospital was lower, and the drug resistance rate of the affiliated hospital of Shaoxing University was the highest. In addition to the Shaoxing maternity and child health care hospital, specimens were mainly from elderly and male patients, the drug resistance rate increased with age, and no carbapenem-resistant strains were found in patients under 17 years old. The specimens were mostly from the respiratory tract and urinary tract, but the CRKP rate was the highest in blood, the ESBL rate was the highest in other sterile body fluids except for blood, and the high ESBL and CR rates in urine were also detected. Conclusions: The above results indicated that there were significant differences in drug resistance rates of strains among different hospitals, genders, ages, and specimen sources, and clinical empirical medication should be incorporated into the reference.

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