Objective Using the wireless mobile communication technology and Internet technology, cloud platform to build maternal and infant health intel igent management. Methods Using the J2EE technology based on B/S three-tier to build health intel igent management cloud platform. Vital signs parameters (such as blood pressure, blood oxygen saturation, heart rate, breathing, pulse, temperature, instantaneous heart rate of pregnant women,etc) achieved the real-time detection and wireless remote transmission. Results Realized the digitization management of maternal health information, health records, health analysis;Through this platform to realize the consulting between the patient and doctor online. Conclusion The Pregnant women can upload and download various vital signs parameters at any time to check the personal health analysis report through mobile phone client.

Objective:To analyze the clinical characteristics of patients with acute glyphosate herbicide poisoning and the differences in the severity of poisoning.Methods:A retrospective analysis was performed on patients with acute glyphosate herbicide poisoning admitted to the First Affiliated Hospital of Zhengzhou University from January 2014 to December 2020. The general information, exposure time, poisoning dose, poisoning cause, poisoning route, clinical manifestations, laboratory examination results during hospitalization, treatment measures, hospital stays and prognosis of the patients were collected. The patients were graded according to the poisoning severity scoring standard of Chinese Expert Consensus on Diagnosis and Treatment of Acute Poisoning in 2016. The highest severity score during hospitalization was used as the final grade. According to the final grade, asymptomatic and mild patients were included in the mild group, and moderate, severe and death patients were included in the severe group. The independent sample T test or Mann-Whitney U test was used for measurement data, and χ2 test or Fisher's exact test was used for counting data. The differences of general data and clinical data between the two groups were compared. Results:According to the inclusion and exclusion criteria, 83 patients with acute glyphosate herbicide poisoning were selected as the study subjects. All patients survived, mainly mild poisoning (56.6%), with a male to female ratio of 33∶50, and an average age of 39 years. The number of poisoning cases increased yearly (the highest in 2019), and most cases occurred in spring and summer. The main cause of poisoning was suicide (71.1%), direct oral administration (83.1%) was the primary route of poisoning, and the dominating clinical manifestations were digestive symptoms (71.1%). Laboratory tests showed increased white blood cell count (WBC), neutrophil percentage (NEUT %) and D-dimer, and decreased hemoglobin and potassium. Compared with the mild group, patients in the severe group were older [(51±17) years vs. (35±19) years], had a higher proportion of suicide and direct oral administration, a longer hospital stay [8.0 (4.8, 12.0) d vs. 3.0 (2.0, 5.5) d], a higher dose of poisoning [200.0 (50.0, 200.0) mL vs. 30.0 (11.3, 57.5) mL], and higher NEUT % within 24 h of admission [(83.4±10.4) vs. (73.2±12.8)]. The increase of WBC, NEUT %, aspartate aminotransferase, prothrombin time, D-dimer and the decrease of serum potassium were more common in the severe group than the mild group, with statistical significance (all P<0.05). Conclusions:The number of patients with acute glyphosate herbicide poisoning is increasing yearly. Generally, the condition is mild and the prognosis is satisfying. The severity is more serious in the middle-aged and elderly patients andthose with direct oral administration, high toxic dose, and high NEUT % within 24 h of admission. Severe poisoning is more likely to cause changes in laboratory indicators.

Objective: To explore the intravoxel incoherent motion diffusion-weighted imaging (IVIM-DWI) model in lung cancer patients with different histopathological subtypes. Methods: A total of 105 patients were recruited, including 68 cases of adenocarcinoma, 22 cases of squamous carcinoma and 15 cases of small cell carcinoma. All patients underwent magnetic resonance examination consisting of axial IVIM-DWI sequence on a 3.0 T whole body scanner, then the standard ADC (sADC), diffusion coefficient (D), pseudo-diffusion coefficient(D^*), perfusion fraction (f), distributed diffusion coefficient (DDC) and water diffusion heterogeneity index (α) were calculated for each lesion within the IVIM-DWI model. Results: Mean sADC values were (1.45±0.26) ×10^-3mm²/s, (1.36±0.48) ×10^-3mm²/s and (1.35±0.40) ×10^-3mm²/s for adenocarcinoma, squamous carcinoma and small cell carcinoma, respectively. Mean f values were (59.75±16.37) %, (47.41±18.69) % and (48.96±19.88) % for adenocarcinoma, squamous carcinoma and small cell carcinoma, respectively. Mean α values were 0.72±0.13 for adenocarcinoma, 0.62±0.12 for squamous carcinoma, and 0.63±0.11 for small cell carcinoma, respectively. Statistical analyses indicated that the sADC, f and α values among different histopathological subtypes were significantly different (P<0.05), while there was no significant difference in D, D^* and DDC values (P>0.05). Furthermore, the comparison showed that the sADC, f and α values of patients with adenocarcinoma were significantly higher than those with squamous carcinoma or small cell carcinoma (P<0.05), whereas there was no significant difference between squamous carcinoma group and small cell carcinoma group (P>0.05). Conclusions The sADC, f and α values derived from the IVIM-DWI model can be used for comprehensive non-invasive evaluation of diffusion, perfusion and heterogeneity of microenvironment in lung cancer patients. And the IVIM-DWI model may be a promising tool for predicting histopathological subtypes of lung cancer.

COVID-19 pandemic caused by SARS-CoV-2 infection severely threatens global health and economic development. No effective antiviral drug is currently available to treat COVID-19 and any other human coronavirus infections. We report herein that a macrolide antibiotic, carrimycin, potently inhibited the cytopathic effects (CPE) and reduced the levels of viral protein and RNA in multiple cell types infected by human coronavirus 229E, OC43, and SARS-CoV-2. Time-of-addition and pseudotype virus infection studies indicated that carrimycin inhibited one or multiple post-entry replication events of human coronavirus infection. In support of this notion, metabolic labelling studies showed that carrimycin significantly inhibited the synthesis of viral RNA. Our studies thus strongly suggest that carrimycin is an antiviral agent against a broad-spectrum of human coronaviruses and its therapeutic efficacy to COVID-19 is currently under clinical investigation.