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COPD: Journal of Chronic Obstructive Pulmonary Disease Volume 20, 2023 - Issue 1
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Research Article

Development of a Diagnostic Nomogram to Predict CAP in Hospitalized Patients with AECOPD

Nafeisa DilixiatiDepartment of Pulmonary and Critical Care Medicine, Beijing Luhe Hospital, Capital Medical University, Beijing, ChinaORCID Iconhttps://orcid.org/0009-0009-3328-156XView further author information
ORCID Icon,
Mengyu LianDepartment of Pulmonary and Critical Care Medicine, Beijing Luhe Hospital, Capital Medical University, Beijing, ChinaView further author information
,
Ziliang HouDepartment of Pulmonary and Critical Care Medicine, Beijing Luhe Hospital, Capital Medical University, Beijing, ChinaORCID Iconhttps://orcid.org/0000-0002-1101-6740View further author information
ORCID Icon,
Jie SongDepartment of Pulmonary and Critical Care Medicine, Beijing Luhe Hospital, Capital Medical University, Beijing, ChinaView further author information
,
Jingjing YangDepartment of Pulmonary and Critical Care Medicine, Beijing Luhe Hospital, Capital Medical University, Beijing, ChinaView further author information
,
Ruiyan LinDepartment of Pulmonary and Critical Care Medicine, Beijing Luhe Hospital, Capital Medical University, Beijing, ChinaView further author information
&
Jinxiang WangDepartment of Pulmonary and Critical Care Medicine, Beijing Luhe Hospital, Capital Medical University, Beijing, ChinaCorrespondence[email protected]
View further author information
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Pages 224-232 | Received 26 Apr 2023, Accepted 18 Jun 2023, Published online: 05 Jul 2023

Figures & data

Figure 1. Study flow diagram.

Figure 1. Study flow diagram.

Table 1. Demographic and baseline clinical characteristics of AECOPD patients.

Table 2. Complications and comorbidities of AECOPD patients.

Table 3. Cardiac ultrasound and laboratory findings of AECOPD patients.

Table 4. Arterial blood gas analysis of AECOPD patients.

Table 5. Microbiologic features of AECOPD patients.

Figure 2. Outcome of LASSO regression (A, B). Outcome of logistic regression (C).

Figure 2. Outcome of LASSO regression (A, B). Outcome of logistic regression (C).

Figure 3. A nomogram prediction model for diagnosis of pAECOPD.

Figure 3. A nomogram prediction model for diagnosis of pAECOPD.

Figure 4. The ROC curves of the combination model and variables.

Figure 4. The ROC curves of the combination model and variables.

Figure 5. Decision curve analysis of the combination model (A). Clinical impact curve of the combination model (B). Calibration plots of the combination model (C).

Figure 5. Decision curve analysis of the combination model (A). Clinical impact curve of the combination model (B). Calibration plots of the combination model (C).

Data availability statement

The datasets used in the current study are available from the corresponding author on reasonable request.

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