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Objective:To investigate the risk factors of acute biliopancreatic complica-tions in patients of pregnancy combined with gallbladder stone and construction of prediction model.Methods:The retrospective case-control study was constructed. The clinical data of 98 patients of pregnancy combined with gallbladder stone who were admitted to the First Hospital of Lanzhou University from September 2011 to October 2022 and 53 patients of pregnancy combined with gallbladder stone who were admitted to Gansu Provincial Hospital May 2014 to October 2021 were collected. The age of 151 patients was 29(25,32)years. Observation indicators: (1) situations of patients of pregnancy combined with gallbladder stone; (2) risk factors of acute biliopancreatic com-plications in patients of pregnancy combined with gallbladder stone; (3) construction of prediction model for acute biliopancreatic complications in patients of pregnancy combined with gallbladder stone. Measurement data with normal distribution were represented as Mean± SD, and comparison between groups was conducted using the independent t test. Measurement data with skewed distribution were represented as M( Q1, Q3), and comparison between groups was conducted using the Mann-Whitney U test. Count data were described as absolute numbers, and comparison between groups was conducted using the chi-square test. Comparison of ordinal data was conducted using the rank sum test. Univariate and multi-variate analyses were conducted using the Logistic regression model. Nomogram prediction model was conducted, and the receiver operating characteristic (ROC) curve was used to evaluate discri-mination of the nomogram predic-tion model. The calibration curve and clinical decision curve were used to evaluate calibration and net clinical benefit of the nomogram prediction model. Internal validation of the prediction model was performed by applying 10-fold cross-validation. Results:(1) Situations of patients of pregnancy combined with gallbladder stone. The total cholesterol, triglyceride, high density lipoprotein cholesterol, low density lipoprotein cholesterol, prepregnancy body mass index (<18.5 kg/m 2, 18.5?24.0 kg/m 2, >24.0 kg/m 2), gesta-tional period (early, mid, late), primipara (positive, negative), stone type (solitary, non solitary), diameter of stone (≤10 mm, >10 mm), gallbladder wall thickness (≥4 mm, <4 mm) were (4.9±1.4)mmol/L, 1.88(1.22,2.93)mmol/L, 1.48(1.22,1.83)mmol/L, (2.8±0.9)mmol/L, 13, 75, 58, 37, 45, 69, 86, 65, 37, 114, 89, 62, 38, 113 in the 151 patients of pregnancy combined with gallbladder stone. Of the 151 patients, the age, prepregnancy body mass index (<18.5 kg/m 2, 18.5?24.0 kg/m 2, >24.0 kg/m 2), primipara (positive, negative), stone type (solitary, non solitary), diameter of stone (≤10 mm, >10 mm), gallbladder wall thickness (≥4 mm, <4 mm) were 31(28,37)years, 3, 30, 36, 29, 40, 32, 37, 26, 43, 4, 65 in 69 cases without symptom, versus 27(24,31)years, 10, 45, 22, 57, 25, 5, 77, 63, 19, 34, 48 in 82 cases combined with acute biliopancreatic complications, showing significant differences in the above indicators between them ( Z=?3.636, ?2.385, χ2=11.544, 32.862, 23.729, 25.310, P<0.05). Five of the 82 patients of pregnancy combined with gallbladder stone missed data of prepregnancy body mass index. Of the 82 patients, there were 42 patients of simple acute cholecystitis, 40 patients of common bile duct stone and/or acute biliary pancreatitis including 18 cases of common bile duct stone, 13 cases of acute biliary pancreatitis and 9 cases of common bile duct stone combined with acute biliary pancreatitis. (2) Risk factors of acute biliopancreatic complications in patients of pregnancy combined with gallbladder stone. Results of multivariate analysis showed that primipara, non solitary stone, diameter of stone ≤10 mm, gallbladder wall thickness ≥4 mm were independent risk factors of acute biliopancreatic complications in patients of pregnancy combined with gallbladder stone ( odds ratio=3.102, 6.305, 3.674, 6.686, 95% confidence interval as 1.280?7.519, 1.886?21.080, 1.457?9.265, 1.984?22.528, P<0.05). Results of multivariate analysis in further analysis showed that primipara, non solitary stone, gallbladder wall thickness ≥4 mm were independent risk factors of simple acute cholecystitis in patients of pregnancy combined with gallbladder stone ( odds ratio=3.671, 8.905, 7.137, 95% confidence interval as 1.386?9.723, 2.332?34.006, 1.902?26.773, P<0.05), and age, non solitary stone, diameter of stone ≤10 mm, gallbladder wall thickness ≥4 mm were independent risk factors of common bile duct stone and/or acute biliary pancreatitis in patients of pregnancy combined with gallbladder stone ( odds ratio=0.883, 5.361, 5.472, 8.895, 95% confidence interval as 0.789?0.988, 1.062?27.071, 1.590?18.827, 2.064?38.325, P<0.05). (3) Construction of prediction model for acute biliopancreatic complications in patients of pregnancy combined with gallbladder stone. The nomogram prediction model for acute biliopancreatic complications in patients of pregnancy combined with gallbladder stone was constructed based on the clinical factors of age, primipara, stone type, diameter of stone and gallbladder wall thickness. The area under the curve (AUC) of ROC curve of prediction model was 0.869 (95% confidence interval as 0.813?0.923), indicating that the prediction model with good predictive ability. Results of Hosmer-Lemeshow test showed a good fit ( χ2=5.680, P>0.05), indicating that the prediction model with good calibration. Results of decision curve analysis showed the prediction model with high net clinical benefit. Results of internal validation of the prediction model based on 10-fold cross-validation showed the AUC of ROC curve for the cross-validation sample was 0.833, indicating that the prediction model with good stability. Conclusions:Primigravida, non solitary stone, diameter of stone ≤10 mm, gallbladder wall thickness ≥4 mm are independent risk factors of acute biliopancreatic complications in patients of pregnancy combined with gallbladder stone. The prediction model for acute biliopancreatic complications has good predictive ability.
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BackgroundThe outbreak of the coronavirus disease 2019 (COVID-19) has had a massive impact on the whole world. Computed tomography (CT) has been widely used in the diagnosis of this novel pneumonia. This study aims to understand the role of CT for the diagnosis and the main imaging manifestations of patients with COVID-19. MethodsWe conducted a rapid review and meta-analysis on studies about the use of chest CT for the diagnosis of COVID-19. We comprehensively searched databases and preprint servers on chest CT for patients with COVID-19 between 1 January 2020 and 31 March 2020. The primary outcome was the sensitivity of chest CT imaging. We also conducted subgroup analyses and evaluated the quality of evidence using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach. ResultsA total of 104 studies with 5694 patients were included. Using RT-PCR results as reference, a meta-analysis based on 64 studies estimated the sensitivity of chest CT imaging in COVID-19 was 99% (95% CI, 0.97-1.00). If case reports were excluded, the sensitivity in case series was 96% (95% CI, 0.93-0.99). The sensitivity of CT scan in confirmed patients under 18 years old was only 66% (95% CI, 0.11-1.00). The most common imaging manifestation was ground-glass opacities (GGO) which was found in 75% (95% CI, 0.68-0.82) of the patients. The pooled probability of bilateral involvement was 84% (95% CI, 0.81-0.88). The most commonly involved lobes were the right lower lobe (84%, 95% CI, 0.78-0.90) and left lower lobe (81%, 95% CI, 0.74-0.87). The quality of evidence was low across all outcomes. ConclusionsIn conclusion, this meta-analysis indicated that chest CT scan had a high sensitivity in diagnosis of patients with COVID-19. Therefore, CT can potentially be used to assist in the diagnosis of COVID-19.
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BackgroundSupportive treatment is an important and effective part of the management for patients with life-threatening diseases. This study aims to identify and evaluate the forms of supportive care for patients with respiratory diseases. MethodsAn umbrella review of supportive care for patient respiratory diseases was undertaken. We comprehensively searched the following databases: Medline, EMBASE, Web of Science, CNKI (China National Knowledge Infrastructure), Wanfang Data and CBM (SinoMed) from their inception to 31 March 2020, and other sources to identify systematic reviews and meta-analyses related to supportive treatments for patient with respiratory diseases including COVID-19, SARS, MERS and influenza. We assessed the methodological quality using the AMSTAR score and the quality of the evidence for the primary outcomes of each included systematic review and meta-analysis. ResultsWe included 18 systematic reviews and meta-analyses in this study. Most studies focused on the respiratory and circulatory support. Ten studies were of high methodological quality, five studies of medium quality, and three studies of low quality. According to four studies extracorporeal membrane oxygenation did not reduce mortality in adults (OR/RR ranging from 0.71 to 1.28), but two studies reported significantly lower mortality in patients receiving venovenous extracorporeal membrane oxygenation than in the control group (OR/RR ranging from 0.38 to 0.73). Besides, monitoring of vital signs and increasing the number of medical staff may also reduce the mortality in patients with respiratory diseases. ConclusionsOur overview suggests that supportive care may reduce the mortality of patients with respiratory diseases to some extent. However, the quality of evidence for the primary outcomes in the included studies was low to moderate. Further systematic reviews and meta-analyses are needed to address the evidence gap regarding the supportive care for SARS, MERS and COVID-19.
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BackgroundCOVID-19, a disease caused by SARS-CoV-2 coronavirus, has now spread to most countries and regions of the world. As patients potentially infected by SARS-CoV-2 need to visit hospitals, the incidence of nosocomial infection can be expected to be high. Therefore, a comprehensive and objective understanding of nosocomial infection is needed to guide the prevention and control of the epidemic. MethodsWe searched major international and Chinese databases Medicine, Web of science, Embase, Cochrane, CBM(China Biology Medicine disc), CNKI (China National Knowledge Infrastructure) and Wanfang database)) for case series or case reports on nosocomial infections of COVID-19, SARS(Severe Acute Respiratory Syndromes) and MERS(Middle East Respiratory Syndrome) from their inception to March 31st, 2020. We conducted a meta-analysis of the proportion of nosocomial infection patients in the diagnosed patients, occupational distribution of nosocomial infection medical staff and other indicators. ResultsWe included 40 studies. Among the confirmed patients, the proportions of nosocomial infections were 44.0%, 36.0% and 56.0% for COVID-19, SARS and MERS, respectively. Of the confirmed patients, the medical staff and other hospital-acquired infections accounted for 33.0% and 2.0% of COVID-19 cases, 37.0% and 24.0% of SARS cases, and 19.0% and 36.0% of MERS cases, respectively. Nurses and doctors were the most affected among the infected medical staff. The mean numbers of secondary cases caused by one index patient were 29.3 and 6.3 for SARS and MERS, respectively. ConclusionsThe proportion of nosocomial infection in patients with COVID-19 was 44%. Patients attending hospitals should take personal protection. Medical staff should be awareness of the disease to protect themselves and the patients.