未经证实:本研究的目的是确定导致急性结肠憩室炎诊断准确性提高的临床因素。
UNASSIGNED:前瞻性纳入2017年1月9日至2017年10月31日在瑞典两家医院经计算机断层扫描(CT)证实为临床怀疑急性结肠憩室炎的患者。症状,合并症,并记录了实验室结果。候选变量采用逻辑回归分析,使用最小绝对收缩率和选择算子回归确定产生最准确预测的最终变量集,并使用受试者工作特征(ROC)曲线下面积进行评估。
未经批准:总共,纳入146例患者(73%为女性;中位年龄68岁;年龄范围,50-94岁)。临床诊断准确率为70.5%。在多元Logistic回归分析中,性别(女性与男性比值比[OR]:4.82;置信区间[CI],1.56-14.91),年龄(或,0.92;95%CI,0.87-0.98),腹部左下侧疼痛(或,15.14;95%CI,2.65-86.58),并且没有呕吐(或,14.02;95%CI,2.90-67.88)具有统计学意义,并且与CT证实的憩室炎的诊断相关。有七个预测因子(年龄,性别,泌尿症状,恶心,温度,C反应蛋白,左下侧疼痛),ROC曲线下面积为0.82,并建立了计算风险评分的公式.
UNASSIGNED:我们提出了一种使用常见临床变量的评分系统,该系统可应用于临床怀疑结肠憩室炎的患者,以提高诊断准确性。开发的评分系统可在https://phille-wagner免费获得。shinyapps.io/憩室炎_风险_模型/。
UNASSIGNED: The aim of this study was to identify clinical factors leading to increased diagnostic accuracy for acute colonic diverticulitis.
UNASSIGNED: Patients with clinical suspicion of acute colonic diverticulitis verified with computed tomography (CT) from two hospitals in Sweden between 9 January 2017 and 31 October 2017 were prospectively included. Symptoms, comorbidities, and laboratory results were documented. Candidate variables were analyzed using logistic regression, and the final variable set that yielded the most accurate predictions was identified using least absolute shrinkage and selection operator regression and evaluated using the area under the receiver operating characteristic (ROC) curve.
UNASSIGNED: In total, 146 patients were included (73% women; median age 68 years; age range, 50-94 years). The clinical diagnostic accuracy was 70.5%. In the multiple logistic regression analysis, gender (female vs male odds ratio [OR]: 4.82; confidence interval [CI], 1.56-14.91), age (OR, 0.92; 95% CI, 0.87-0.98), pain on the lower left side of the abdomen (OR, 15.14; 95% CI, 2.65-86.58), and absence of vomiting (OR, 14.02; 95% CI, 2.90-67.88) were statistically significant and associated with the diagnosis of CT-verified diverticulitis. With seven predictors (age, gender, urinary symptoms, nausea, temperature, C-reactive protein, and pain left lower side), the area under the ROC curve was 0.82, and a formula was developed for calculating a risk score.
UNASSIGNED: We present a scoring system using common clinical variables that can be applied to patients with clinical suspicion of colonic diverticulitis to increase the diagnostic accuracy. The developed scoring system is available for free of charge at https://phille-wagner.shinyapps.io/Diverticulitis_risk_model/.