1.Analysis of relevant factors influencing the 30-day survival rate of patients with cardiac arrest and cardiopulmonary resuscitation: research based on 8-year data of a class III hospital.
Xu MA ; Baoying GUO ; Yun WANG ; Ningkang LI ; Li SHEN ; Wenhua XI ; Kerong HAI
Chinese Critical Care Medicine 2023;35(4):367-370
OBJECTIVE:
To investigate the survival of patients with cardiac arrest and cardiopulmonary resuscitation (CA-CPR), and to analyze the factors influencing survival at 30 days after restoration of spontaneous circulation (ROSC).
METHODS:
A retrospective cohort study was conducted. Clinical data of 538 patients with CA-CPR admitted to the People's Hospital of Ningxia Hui Autonomous Region from January 2013 to September 2020 were enrolled. The gender, age, underlying disease, cause of CA, type of CA, initial rhythm, presence or absence of endotracheal intubation, defibrillation, use of epinephrine, and 30-day survival rate of patients were collected. The etiology of CA and 30-day survival rate among patients with different ages were compared, as well as the clinical data between patients who survived and died at 30 days after ROSC were also compared. Multivariate Logistic regression was used to analyze the relevant factors affecting the 30-day survival rate of patients.
RESULTS:
Among 538 patients with CA-CPR, 67 patients with incomplete information were excluded, and 471 patients were enrolled. Among 471 patients, 299 were males and 172 were females. Aged from 0 to 96 years old, 23 patients (4.9%) were < 18 years old, 205 patients (43.5%) were 18 to 64 years old, and 243 patients (51.6%) were ≥ 65 years old. 302 cases (64.1%) achieved ROSC, and 46 patients (9.8%) survived for more than 30 days. The 30-day survival rate of patients aged < 18 years old, 18-64 years old and ≥ 65 years old was 8.7% (2/23), 12.7% (26/205) and 7.4% (18/243), respectively. The main causes of CA in patients younger than 18 years were severe pneumonia (13.1%, 3/23), respiratory failure (13.1%, 3/23), and trauma (13.1%, 3/23). The main causes were acute myocardial infarction (AMI; 24.9%, 51/205), respiratory failure (9.8%, 20/205), and hypoxic brain injury (9.8%, 20/205) in patients aged 18-64 years old, and AMI (24.3%, 59/243) and respiratory failure (13.6%, 33/243) in patients aged ≥ 65 years old. Univariate analysis results revealed that the 30-day survival rate of patients with CA-CPR may be related to the the cause of CA was AMI, initial rhythm was ventricular tachycardia/ventricular fibrillation, endotracheal intubation and epinephrine. Multivariate Logistic regression analysis results showed that CA was caused by AMI [odds ratio (OR) = 0.395, 95% confidence interval (95%CI) was 0.194-0.808, P = 0.011] and endotracheal intubation (OR = 0.423, 95%CI was 0.204-0.877, P = 0.021) was a protective factor for 30 days of survival after ROSC in patients with CA-CPR.
CONCLUSIONS
The 30-day survival rate of CA-CPR patients was 9.8%. The 30-day survival rate of CA-CPR patients with AMI after ROSC is higher than that of patients with other CA causes, and early endotracheal intubation can improve the prognosis of patients.
Female
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Male
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Humans
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Infant, Newborn
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Infant
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Child, Preschool
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Child
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Adolescent
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Young Adult
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Adult
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Middle Aged
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Aged
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Aged, 80 and over
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Retrospective Studies
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Survival Rate
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Heart Arrest
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Hospitals
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Epinephrine
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Ventricular Fibrillation
2.Agricultural Risk Factors Influence Microbial Ecology in Honghu Lake.
Maozhen HAN ; Melissa DSOUZA ; Chunyu ZHOU ; Hongjun LI ; Junqian ZHANG ; Chaoyun CHEN ; Qi YAO ; Chaofang ZHONG ; Hao ZHOU ; Jack A GILBERT ; Zhi WANG ; Kang NING
Genomics, Proteomics & Bioinformatics 2019;17(1):76-90
Agricultural activities, including stock-farming, planting industry, and fish aquaculture, can affect the physicochemical and biological characters of freshwater lakes. However, the effects of pollution producing by agricultural activities on microbial ecosystem of lakes remain unclear. Hence, in this work, we selected Honghu Lake as a typical lake that is influenced by agriculture activities. We collected water and sediment samples from 18 sites, which span a wide range of areas from impacted and less-impacted areas. We performed a geospatial analysis on the composition of microbial communities associated with physicochemical properties and antibiotic pollution of samples. The co-occurrence networks of water and sediment were also built and analyzed. Our results showed that the microbial communities of impacted and less-impacted samples of water were largely driven by the concentrations of TN, TP, NO-N, and NO-N, while those of sediment were affected by the concentrations of Sed-OM and Sed-TN. Antibiotics have also played important roles in shaping these microbial communities: the concentrations of oxytetracycline and tetracycline clearly reflected the variance in taxonomic diversity and predicted functional diversity between impacted and less-impacted sites in water and sediment samples, respectively. Furthermore, for samples from both water and sediment, large differences of network topology structures between impacted and less-impacted were also observed. Our results provide compelling evidence that the microbial community can be used as a sentinel of eutrophication and antibiotics pollution risk associated with agricultural activity; and that proper monitoring of this environment is vital to maintain a sustainable environment in Honghu Lake.
Agriculture
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Animals
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Anti-Bacterial Agents
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analysis
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China
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Eutrophication
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Geologic Sediments
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chemistry
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microbiology
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Lakes
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chemistry
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microbiology
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Microbiota
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Risk Factors
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Water Pollutants, Chemical
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analysis