1
|
Xu D, Zhang AL, Zheng JS, Ye MW, Li F, Qian GC, Shi HB, Jin XH, Huang LP, Mei JG, Mei GH, Xu Z, Fu H, Lin JJ, Ye HZ, Zheng Y, Hua LL, Yang M, Tong JM, Chen LL, Zhang YY, Yang DH, Zhou YL, Li HW, Lan YL, Xu YL, Feng JY, Chen X, Gong M, Chen ZM, Wang YS. [A multicenter prospective study on early identification of refractory Mycoplasma pneumoniae pneumonia in children]. Zhonghua Er Ke Za Zhi 2024; 62:317-322. [PMID: 38527501 DOI: 10.3760/cma.j.cn112140-20231121-00383] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 03/27/2024]
Abstract
Objective: To explore potential predictors of refractory Mycoplasma pneumoniae pneumonia (RMPP) in early stage. Methods: The prospective multicenter study was conducted in Zhejiang, China from May 1st, 2019 to January 31st, 2020. A total of 1 428 patients with fever >48 hours to <120 hours were studied. Their clinical data and oral pharyngeal swab samples were collected; Mycoplasma pneumoniae DNA in pharyngeal swab specimens was detected. Patients with positive Mycoplasma pneumoniae DNA results underwent a series of tests, including chest X-ray, complete blood count, C-reactive protein, lactate dehydrogenase (LDH), and procalcitonin. According to the occurrence of RMPP, the patients were divided into two groups, RMPP group and general Mycoplasma pneumoniae pneumonia (GMPP) group. Measurement data between the 2 groups were compared using Mann-Whitney U test. Logistic regression analyses were used to examine the associations between clinical data and RMPP. Receiver operating characteristic (ROC) curves were used to analyse the power of the markers for predicting RMPP. Results: A total of 1 428 patients finished the study, with 801 boys and 627 girls, aged 4.3 (2.7, 6.3) years. Mycoplasma pneumoniae DNA was positive in 534 cases (37.4%), of whom 446 cases (83.5%) were diagnosed with Mycoplasma pneumoniae pneumonia, including 251 boys and 195 girls, aged 5.2 (3.3, 6.9) years. Macrolides-resistant variation was positive in 410 cases (91.9%). Fifty-five cases were with RMPP, 391 cases with GMPP. The peak body temperature before the first visit and LDH levels in RMPP patients were higher than that in GMPP patients (39.6 (39.1, 40.0) vs. 39.2 (38.9, 39.7) ℃, 333 (279, 392) vs. 311 (259, 359) U/L, both P<0.05). Logistic regression showed the prediction probability π=exp (-29.7+0.667×Peak body temperature (℃)+0.004×LDH (U/L))/(1+exp (-29.7+0.667×Peak body temperature (℃)+0.004 × LDH (U/L))), the cut-off value to predict RMPP was 0.12, with a consensus of probability forecast of 0.89, sensitivity of 0.89, and specificity of 0.67; and the area under ROC curve was 0.682 (95%CI 0.593-0.771, P<0.01). Conclusion: In MPP patients with fever over 48 to <120 hours, a prediction probability π of RMPP can be calculated based on the peak body temperature and LDH level before the first visit, which can facilitate early identification of RMPP.
Collapse
Affiliation(s)
- D Xu
- Department of Pulmonology, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - A L Zhang
- Department of Pediatrics, the Second Hospital of Jiaxing, Jiaxing 314001, China
| | - J S Zheng
- Department of Pediatrics, Ningbo Women and Children's Hospital, Ningbo 315012, China
| | - M W Ye
- Department of Pediatrics, Sanmen People's Hospital, Taizhou 317199, China
| | - F Li
- Department of Pediatrics, Shaoxing Second Hospital, Shaoxing 312099, China
| | - G C Qian
- Department of Pediatrics, Changxing Maternal and Child Health Care Hospital, Huzhou 313199, China
| | - H B Shi
- Department of Pediatrics, Ningbo Medical Center Lihuili Hospital, Ningbo 315048, China
| | - X H Jin
- Department of Pediatrics, Taizhou Hospital of Zhejiang Province, Taizhou 317099, China
| | - L P Huang
- Department of Pediatrics, Zhoushan Women and Children's Hospital, Zhoushan 316004, China
| | - J G Mei
- Department of Pediatrics, Cixi Maternal and Child Health Care Hospital, Ningbo 315331, China
| | - G H Mei
- Department of Pediatrics, Quzhou Maternal and Child Health Care Hospital, Quzhou 324003, China
| | - Z Xu
- Department of Pediatrics, Huzhou Central Hospital, Huzhou 313099, China
| | - H Fu
- Department of Pediatrics, Shengsi People's Hospital, Zhoushan 202450, China
| | - J J Lin
- Department of Pediatrics, Lishui City People's Hospital, Lishui 323050, China
| | - H Z Ye
- Department of Pediatrics, the First People's Hospital of Huzhou, Huzhou 313099, China
| | - Y Zheng
- Department of Pediatrics, People's Hospital of Quzhou, Quzhou 324002, China
| | - L L Hua
- Department of Pediatrics, Ningbo Women and Children's Hospital, Ningbo 315012, China
| | - M Yang
- Department of Pediatrics, Sanmen People's Hospital, Taizhou 317199, China
| | - J M Tong
- Department of Pediatrics, Changxing Maternal and Child Health Care Hospital, Huzhou 313199, China
| | - L L Chen
- Department of Pediatrics, Taizhou Hospital of Zhejiang Province, Taizhou 317099, China
| | - Y Y Zhang
- Department of Pulmonology, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - D H Yang
- Department of Pulmonology, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - Y L Zhou
- Department of Pulmonology, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - H W Li
- Department of Pulmonology, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - Y L Lan
- Department of Pulmonology, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - Y L Xu
- Department of Pediatrics, Zhoushan Women and Children's Hospital, Zhoushan 316004, China
| | - J Y Feng
- Department of Pediatrics, Cixi Maternal and Child Health Care Hospital, Ningbo 315331, China
| | - X Chen
- Department of Pediatrics, Huzhou Central Hospital, Huzhou 313099, China
| | - M Gong
- Department of Pediatrics, People's Hospital of Quzhou, Quzhou 324002, China
| | - Z M Chen
- Department of Pulmonology, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| | - Y S Wang
- Department of Pulmonology, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, China
| |
Collapse
|
2
|
Xie DF, Cheng RY, Fu X, Zhang XY, Price M, Lan YL, Wang CB, He XJ. A Combined Morphological and Molecular Evolutionary Analysis of Karst-Environment Adaptation for the Genus Urophysa (Ranunculaceae). Front Plant Sci 2021; 12:667988. [PMID: 34177982 PMCID: PMC8223000 DOI: 10.3389/fpls.2021.667988] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/15/2021] [Accepted: 05/12/2021] [Indexed: 06/13/2023]
Abstract
The karst environment is characterized by low soil water content, periodic water deficiency, and poor nutrient availability, which provides an ideal natural laboratory for studying the adaptive evolution of its inhabitants. However, how species adapt to such a special karst environment remains poorly understood. Here, transcriptome sequences of two Urophysa species (Urophysa rockii and Urophysa henryi), which are Chinese endemics with karst-specific distribution, and allied species in Semiaquilegia and Aquilegia (living in non-karst habitat) were collected. Single-copy genes (SCGs) were extracted to perform the phylogenetic analysis using concatenation and coalescent methods. Positively selected genes (PSGs) and clusters of paralogous genes (Mul_genes) were detected and subsequently used to conduct gene function annotation. We filtered 2,271 SCGs and the coalescent analysis revealed that 1,930 SCGs shared the same tree topology, which was consistent with the topology detected from the concatenated tree. Total of 335 PSGs and 243 Mul_genes were detected, and many were enriched in stress and stimulus resistance, transmembrane transport, cellular ion homeostasis, calcium ion transport, calcium signaling regulation, and water retention. Both molecular and morphological evidences indicated that Urophysa species evolved complex strategies for adapting to hostile karst environments. Our findings will contribute to a new understanding of genetic and phenotypic adaptive mechanisms of karst adaptation in plants.
Collapse
Affiliation(s)
- Deng-Feng Xie
- Key Laboratory of Bio-Resources and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, China
| | - Rui-Yu Cheng
- Key Laboratory of Bio-Resources and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, China
| | - Xiao Fu
- Key Laboratory of Bio-Resources and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, China
| | - Xiang-Yi Zhang
- Key Laboratory of Bio-Resources and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, China
| | - Megan Price
- Key Laboratory of Bio-Resources and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, China
| | - Yan-Ling Lan
- Key Laboratory of Bio-Resources and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, China
| | | | - Xing-Jin He
- Key Laboratory of Bio-Resources and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, China
| |
Collapse
|