This study reports the diagnosis and treatment of a 26-year-old pregnant woman with severe malnutrition combined with acute pyelonephritis causing sepsis, refractory septic shock and multiple organ failure. A female patient, 26 years old, was admitted to hospital mainly due to "menelipsis for more than 19 weeks, nausea and vomiting for 20 days, fever with fatigue for 3 days". At the end of 19 weeks of intrauterine pregnancy, the patient presented with fever accompanied by urinary tract irritation. Laboratory tests showed elevated inflammatory indicators, and ultrasonography showed bilateral pelvicalyceal dilation. She was diagnosed with acute pyelonephritis, sepsis, acute kidney injury (AKI) and severe malnutrition. After a whole-hospital consultation, the patient was treated with meropenem and vancomycin as antimicrobial therapy, and bilateral nephrostomy drainage was performed simultaneously. After that, the patient suffered a sudden decrease in blood pressure, blood oxygen saturation, and rapid heart rate. Septic shock with multiple organ dysfunction was considered, and she was transferred to intensive care unit (ICU) immediately. After the patient was transferred to ICU, emergency tracheal intubation and ventilator-assisted ventilation were performed. Rapid fluid resuscitation was administered for the patient. While pulse indicator continuous cardiac output (PICCO) monitoring was performed, norepinephrine, terlipressin, and methylene blue were administered to maintain peripheral vascular resistance. Since the patient developed septic cardiomyopathy and cardiogenic shock later, levosimendan and epinephrine were admi-nistered to improve cardiac function. While etiological specimens were delivered, meropenem, teicoplanin and caspofungin were given as initial empiric antimicrobial therapy. Unfortunately, the intrauterine fetal death occurred on the night of admission to ICU. On the 3rd day of ICU admission, a still-born child was delivered vaginally with 1/5 defect of the fetal membrane. On the 6th day of ICU admission, the patient had fever again with elevated inflammatory indicators. After excluding infection in other parts, intrau-terine infection caused by incomplete delivery of fetal membrane was considered. Then emergency uterine curettage was performed and the infection gradually improved. Later the laboratory results showed that the nephrostomy drainage was cultured for Escherichia coli and uterine, cervical and vaginal secretions were cultured for Candida albicans. Due to severe infection and intrauterine incomplete abortion, the patient developed disseminated intravascular coagulation (DIC). Active antimicrobial therapy and blood product supplement were given. However, the patient was critically ill with significant decrease in hemoglobin and platelets combined with multiple organ failure. Thrombotic microangiopathy (TMA) was not excluded yet, so plasma exchange was performed for the patient in order not to delay treatment. The patient underwent bedside continuous renal replacement therapy (CRRT) for AKI. The patient was complicated with acute liver injury, and the liver function gradually returned to normal after liver protection, antimicrobial therapy and other treatments. Due to the application of large doses of vasoactive drugs, the extremities of the patient gradually developed cyanosis and ischemic necrosis. Local dry gangrene of the bilateral toes remained at the time of discharge. In general, the patient suffered from septic shock, cardiogenic shock, combined with DIC and multiple organ dysfunction. After infection source control, antimicrobial therapy, uterine curettage, blood purification treatment, nutritional and metabolic support, the patient was discharged with a better health condition.
Humans ; Female ; Pyelonephritis/complications* ; Pregnancy ; Adult ; Multiple Organ Failure/etiology* ; Shock, Septic/etiology* ; Sepsis/etiology* ; Pregnancy Complications ; Pregnancy Complications, Infectious ; Malnutrition/complications*

BACKGROUND: The clinical impact of post-percutaneous coronary intervention (PCI) quantitative flow ratio (QFR) in patients treated with PCI for chronic total occlusion (CTO) was still undetermined. METHODS: All CTO vessels treated with successful anatomical PCI in patients from PANDA III trial were retrospectively measured for post-PCI QFR. The primary outcome was 2-year vessel-oriented composite endpoints (VOCEs, composite of target vessel-related cardiac death, target vessel-related myocardial infarction, and ischemia-driven target vessel revascularization). Receiver operator characteristic curve analysis was conducted to identify optimal cutoff value of post-PCI QFR for predicting the 2-year VOCEs, and all vessels were stratified by this optimal cutoff value. Cox proportional hazards models were employed to calculate the hazard ratio (HR) with 95% CI. RESULTS: Among 428 CTO vessels treated with PCI, 353 vessels (82.5%) were analyzable for post-PCI QFR. 31 VOCEs (8.7%) occurred at 2 years. Mean value of post-PCI QFR was 0.92 ± 0.13. Receiver operator characteristic curve analysis shown the optimal cutoff value of post-PCI QFR for predicting 2-year VOCEs was 0.91. The incidence of 2-year VOCEs in the vessel with post-PCI QFR < 0.91 (n = 91) was significantly higher compared with the vessels with post-PCI QFR ≥ 0.91 (n = 262) (22.0% vs. 4.2%, HR = 4.98, 95% CI: 2.32-10.70). CONCLUSIONS Higher post-PCI QFR values were associated with improved prognosis in the PCI practice for coronary CTO. Achieving functionally optimal PCI results (post-PCI QFR value ≥ 0.91) tends to get better prognosis for patients with CTO lesions.

[This corrects the article DOI: 10.1016/j.apsb.2022.05.019.].

It is proposed that the disease mechanism evolution of systemic lupus erythematosus can be summarized into four stages： initial invasion and latency， the pathogenesis remains concealing； latent toxin accumulation， the disease gradually becomes apparent； active toxin begins damaging， the disease manifests aggressively； damage resulting to deficiency， the disease course prolonged. Based on the stages of latent toxin evolution， the syndrome differentiation and treatment of systemic lupus erythematosus can be summarized as follows： during the initial latent stage， characterized by latent dampness and heat stagnation， modified Sanren Decoction （三仁汤） should be used； in the toxin outbreak stage， marked by intense heat toxin， modified Xijiao Dihuang Decoction （犀角地黄汤） combined with modified Qingwen Baidu Decoction （清瘟败毒饮） should be used； during the toxin damage stage， which presents as latent toxin damaging zang-fu organs， modified Qinghao Biejia Decoction （青蒿鳖甲汤） should be used； in the healthy qi deficiency stage， characterized by deficiencies of qi， blood， yin， and yang， modified Xieli Shiquan Ointment （燮理十全膏） should be used.

Objective To summarize and evaluate the characteristics of current recurrent spontaneous abortion(RSA)animal models at home and abroad,and to provide reference and guidance for the standardized preparation of RSA models.Methods"Recurrent spontaneous abortion"and"animal model"were used as co-keywords in CNKI,Wanfang,VIP,PubMed and Web of Science databases to search the RSA animal experimental literature,covering the period up to January 20,2024,and a total of 1 411 articles were collected.The analysis focused on construction methods and essential elements of RSA animal models,the modeling process and result evaluation,as well as the application of these models in pharmacological and pharmacodynamic research.An Excel table was established for systematic analysis and discussion.Results A total of 138 experimental studies were obtained after screening.In constructing RSA animal models,immunological models were the most widely used in Western medicine(96.92％),with the Clark model being the main one(92.31％).In traditional Chinese medicine(TCM)models,70.00％were kidney deficiency-luteal inhibition-syndrome combination models,20.00％were kidney deficiency and blood stasis models,and 10.00％were deficiency-heat syndrome models.Most animals were selected at 6-8 weeks(33.86％)and 8 weeks(32.28％)of age.The majority of animals were paired for mating at 18:00 on the day of cage pairing.In 81.03％of literatures,vaginal plugs were checked once the following morning,with 8:00 being the most common time(17.02％).The most commonly used drug administration cycle was 14 days of continuous gavage after pregnancy.Among the tested drugs,Western drugs were mainly protein-based(29.17％),while TCM drugs were mainly TCM decoction(81.11％).The most frequently used methods for detecting indicators included visual observation of embryos(22.54％),western blot(15.96％),PCR(13.58％),ELISA(12.91％),HE staining(10.80％)and immunohistochemistry(9.39％).Conclusion The etiology of RSA is complex,and corresponding animal models should be established based on different etiologies.Clark model is commonly used in the construction of Western medicine model,while the kidney deficiency-luteal inhibition-syndrome combination model is predominant in TCM.RSA animal model is widely used in related research,but systematic evaluation needs to be strengthened.

ObjectiveTo explore the effect of Tanreqing injection combined with Ceftazide on the clinical efficacy， lung function， and laboratory inflammatory index of patients suffering from phlegm heat obstructing lung syndrome in acute exacerbation of chronic obstructive pulmonary disease （AECOPD）. MethodFrom June 2021 to June 2023， 76 patients diagnosed with phlegm heat obstructing lung syndrome in AECOPD were enrolled in the respiratory and critical medical department of Jieshou Hospital of Traditional Chinese Medicine. They were randomly divided into a control group and an observation group with 38 cases each. The control group used Ceftazidime intravenous drip and other conventional oxygen inhalation and antispasmodic treatment measures of western medicine. The observation group received Tanreqing injection intravenous drip based on the treatment of the control group， with a course of 10 days. The changes of laboratory indicators such as hs-CRP， calcitonin （PCT）， and interleukin-6 （IL-6） before and after treatment were analyzed， and the improvement of forced expiratory volume in the first second （FEV₁）， forced vital capacity （FVC）， one second rate （FEV₁/FVC）， assessment and improvement of the British Medical Research Society’s dyspnea index （mMRC）， self-evaluation test of chronic obstructive pulmonary disease patients （CAT）， and traditional Chinese medicine syndrome score was compared. In addition， the total effective rate between the two groups after treatment was compared. ResultAfter treatment， the hs-CRP， PCT， IL-6， FEV₁， FVC， FEV₁/FVC， mMRC， CAT scores， and traditional Chinese medicine syndrome evaluation of both groups improved （P<0.01）. After treatment， compared with the control group， the observation group showed more significant improvements in hs-CRP， PCT， IL-6， FEV₁， FVC， FEV₁/FVC， mMRC， CAT scores， and traditional Chinese medicine syndrome evaluation， and the difference was statistically significant （P<0.05，P<0.01）. The total clinical effective rate of the control group was 86.84% （33/38）， while that of the observation group was 94.74% （36/38）. The therapeutic effect of the observation group was better than that of the control group （χ²=8.471， P<0.05）. ConclusionTanreqing injection combined with Ceftazidime has obvious efficacy in the treatment of phlegm heat obstructing lung syndrome in AECOPD， which is better than the treatment of Ceftazidime antibiotics alone. It can reduce the risk of acute exacerbation， alleviate clinical symptoms， and delay the decline of lung function.

Objective To evaluate the CT features and differential value of gastric leiomyomas(GLs)and gastric stromal tumors(GSTs)after propensity score matching.Methods Twenty-six GLs were 1∶1 propensity score matched to GSTs based on sex,age,tumor site and size.Tumor shape and contour,mucosal ulcer,tumor growth patterns,enhancement pattern and degree,the lon-gest diameter(LD)of the tumor,and the ratio of the LD to the vertical diameter(VD)were analyzed.CT signs included hemor-rhage,calcification,peripheral invasion,and distant metastasis,etc.Regression analysis was used to determine the best quantitative evaluation for differentiation of them.Results The presence of mucosal ulcer was significantly more frequent in GSTs than in GLs(P=0.032).Both tumors showed progressive enhancement;however,the enhancement degree of GSTs was significantly higher than GLs in the arterial and portal venous phases(P=0.004,P=0.002,respectively).The above influential factors were included in a regression analysis using enhancement degree of 18 HU and 23 HU in the arterial and portal venous phases as cutoff values respectively.An enhancement degree≤18 HU in the arterial phase was identified as an independent influential factor in the diagnosis of GLs[odds ratio(OR)=12.776,95％confidence interval(CI)1.270-128.535].No significant difference was found in other morphological characteristics(P＞0.05).Conclusion Less ulceration on the tumor surface and mild enhancement in arterial phase are characteristic features of GLs compared with GSTs.

Objective:To investigate the feasibility and accuracy of computer vision-based artificial intelligence technology in detecting and recognizing instruments and organs in the scenario of radical laparoscopic gastrectomy for gastric cancer.Methods:Eight complete laparoscopic distal radical gastrectomy surgery videos were collected from four large tertiary hospitals in China (First Medical Center of Chinese PLA General Hospital [three cases], Liaoning Cancer Hospital [two cases], Liyang Branch of Jiangsu Province People's Hospital [two cases], and Fudan University Shanghai Cancer Center [one case]). PR software was used to extract frames every 5–10 seconds and convert them into image frames. To ensure quality, deduplication was performed manually to remove obvious duplication and blurred image frames. After conversion and deduplication, there were 3369 frame images with a resolution of 1,920×1,080 PPI. LabelMe was used for instance segmentation of the images into the following 23 categories: veins, arteries, sutures, needle holders, ultrasonic knives, suction devices, bleeding, colon, forceps, gallbladder, small gauze, Hem-o-lok, Hem-o-lok appliers, electrocautery hooks, small intestine, hepatogastric ligaments, liver, omentum, pancreas, spleen, surgical staplers, stomach, and trocars. The frame images were randomly allocated to training and validation sets in a 9:1 ratio. The YOLOv8 deep learning framework was used for model training and validation. Precision, recall, average precision (AP), and mean average precision (mAP) were used to evaluate detection and recognition accuracy.Results:The training set contained 3032 frame images comprising 30 895 instance segmentation counts across 23 categories. The validation set contained 337 frame images comprising 3407 instance segmentation counts. The YOLOv8m model was used for training. The loss curve of the training set showed a smooth gradual decrease in loss value as the number of iteration calculations increased. In the training set, the AP values of all 23 categories were above 0.90, with a mAP of 0.99, whereas in the validation set, the mAP of the 23 categories was 0.82. As to individual categories, the AP values for ultrasonic knives, needle holders, forceps, gallbladders, small pieces of gauze, and surgical staplers were 0.96, 0.94, 0.91, 0.91, 0.91, and 0.91, respectively. The model successfully inferred and applied to a 5-minutes video segment of laparoscopic gastroenterostomy suturing.Conclusion:The primary finding of this multicenter study is that computer vision can efficiently, accurately, and in real-time detect organs and instruments in various scenarios of radical laparoscopic gastrectomy for gastric cancer.

Objective:To investigate the feasibility and accuracy of computer vision-based artificial intelligence technology in detecting and recognizing instruments and organs in the scenario of radical laparoscopic gastrectomy for gastric cancer.Methods:Eight complete laparoscopic distal radical gastrectomy surgery videos were collected from four large tertiary hospitals in China (First Medical Center of Chinese PLA General Hospital [three cases], Liaoning Cancer Hospital [two cases], Liyang Branch of Jiangsu Province People's Hospital [two cases], and Fudan University Shanghai Cancer Center [one case]). PR software was used to extract frames every 5–10 seconds and convert them into image frames. To ensure quality, deduplication was performed manually to remove obvious duplication and blurred image frames. After conversion and deduplication, there were 3369 frame images with a resolution of 1,920×1,080 PPI. LabelMe was used for instance segmentation of the images into the following 23 categories: veins, arteries, sutures, needle holders, ultrasonic knives, suction devices, bleeding, colon, forceps, gallbladder, small gauze, Hem-o-lok, Hem-o-lok appliers, electrocautery hooks, small intestine, hepatogastric ligaments, liver, omentum, pancreas, spleen, surgical staplers, stomach, and trocars. The frame images were randomly allocated to training and validation sets in a 9:1 ratio. The YOLOv8 deep learning framework was used for model training and validation. Precision, recall, average precision (AP), and mean average precision (mAP) were used to evaluate detection and recognition accuracy.Results:The training set contained 3032 frame images comprising 30 895 instance segmentation counts across 23 categories. The validation set contained 337 frame images comprising 3407 instance segmentation counts. The YOLOv8m model was used for training. The loss curve of the training set showed a smooth gradual decrease in loss value as the number of iteration calculations increased. In the training set, the AP values of all 23 categories were above 0.90, with a mAP of 0.99, whereas in the validation set, the mAP of the 23 categories was 0.82. As to individual categories, the AP values for ultrasonic knives, needle holders, forceps, gallbladders, small pieces of gauze, and surgical staplers were 0.96, 0.94, 0.91, 0.91, 0.91, and 0.91, respectively. The model successfully inferred and applied to a 5-minutes video segment of laparoscopic gastroenterostomy suturing.Conclusion:The primary finding of this multicenter study is that computer vision can efficiently, accurately, and in real-time detect organs and instruments in various scenarios of radical laparoscopic gastrectomy for gastric cancer.