Factors Associated With Treatment Failure in Moderately Severe Community-Acquired Pneumonia

Dinh, Aurélien; Duran, Clara; Ropers, Jacques; Bouchand, Frédérique; Davido, Benjamin; Deconinck, Laurène; Matt, Morgan; Lagrange, A.; Mellon, Guillaume; Câlin, Ruxandra; Makhloufi, S.; Lastours, Victoire de; Mathieu, Emmanuel; Kahn, Jean‐Emmanuel; Rouveix, É.; Grenet, J.; Dumoulin, Jennifer; Chinet, Thierry; Pépin, Marion; Delcey, Véronique; Diamantis, S.; Benhamou, D.; Vitrat, Virginie; Guillemot, Didier; Renaud, Bertrand; Claessens, Yann-Érick; Labarère, José; Aegerter, Philippe; Bédos, Jean‐Pierre; Crémieux, Anne‐Claude; Attal-Behar, Julie; Beaune, Sébastien; Cudennec, Tristan; Laroche, M. de; Thézy, Albane de; Dupont, Caroline; Fercot, Élise; Giraut, Violaine; Greffe, S.; Guyot, Caroline; Labrune, Sylvie; Lachâtre, Marie; Moulias, Sophie; Naline, Charlotte; Sahut-D’Izarn, Marine; Sefssafi, Abel; Teillet, Laurent; Bru, J.P.; Gaillat, J.; Gautier, Vincent; Janßen, C.; Pagani, Léonardo; Abderrahmane, Malika; Camuset, Juliette; Legall, C.; Longuet-Flandres, Pascale; Menn, Anne-Marie; Lecronier, Marie; Prevost, Gwenolée; Burdet, Charles; Derradji, Ouda; Escaut, L.; Hinglais, E.; Lebras, P; Lefèvre, Édouard; Noaillon, Mathilde; Rabier, Pauline; Raphaël, Maurice; Teicher, Elina; Verny, Christiane; Vittecoq, D.; Wyplosz, Benjamin; Hayoun, M. Ben; Brun‐Vézinet, Françoise; Casalino, Enrique; Choquet, Christophe; Dombret, Marie-Christine; Duval, Xavier; Houhou, Nadhira; Joly, Véronique; Lescure, Xavier; Pogliaghi, Manuela; Rioux, C.; Yazdanpanah, Y.; Barros, Elsa Maria da Silva; Begga, Belinda; Boukobza, Sébastien; Bouredji, Houria; Chouahi, Imad; Delacroix, Isabelle; Froissart, Antoine; Garrait, Valérie; Ngwem, Elsa; Phlippoteau, Catherine; Salehabadi, Sepehr; Toper, C.; Viñas, F.; Amsilli, M.; Épaulard, Olivier; Pavèse, Patricia; Isabelle, Pierre; Aulagnier, Jérôme; Celerier, Julie; Cojocariu, Roxana; Rachline, Charlotte; Schoindre, Y.; Sene, Thomas; Thierry, Christelle; Aparicio, C.; Lopes, Amanda; Morgand, Marjolaine; Sellier, Pierre; Simoneau, Guy G.; Chakvetadze, Catherine; Gauthier, Arnaud; Jidar, Kaoutar; Jourdain, Béatrice; Boitiaux, J.F.; Deschamps, Patrick; Devaud, Edouard; Philippe, B.; Calin, Ruxandra-Oana; Chroboczek, Tomasz; Truchis, Pierre de; Sénard, Olivia; Chapuzet, C.; Chauffrey, Laure; Etienne, Manuel; Joly, Luc‐Marie; Obstoy, Bérengère; Salaün, Mathieu; Thiberville, Luc; Tillon, J.; Bollens, Diane; Bottéro, J.; Campa, Pauline; Cosquéric, Gaëlle; Lefebvre, Bénédicte; Ouazene, Zineb; Pacanowski, Jérôme; Pateron, Dominique; Valin, Nadia; Compain, Caroline; Cordel, Hugues; Doumenc, Benoît; Foïs, Eléna; Gambier, Nicolas; Khuong, M. A.; Pasqualoni, E.; Poupard, Marie

doi:10.1001/jamanetworkopen.2021.29566

Cited by 11 publications

(4 citation statements)

References 30 publications

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“…In details, the AUC of the nomogram model was about 0.9 for predicting in-hospital mortality of CAP and observed to be higher than PSI, CURB-65 and qSOFA values (0.85, 0.86, and 0.71, respectively). Among them, the evidence for the application of 4 selected variables (Age, Pulse, NLR, and BUN) in our model has been supported by various studies (19)(20)(21)(22)(23).…”

Section: Discussionsupporting

confidence: 57%

Exploration of prognostic factors for prediction of mortality in elderly CAP population using a nomogram model

Shi

et al. 2022

Front. Med.

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BackgroundThe incidence and mortality rate of community-acquired pneumonia (CAP) in elderly patients were higher than the younger population. The assessment tools including CURB-65 and qSOFA have been applied in early detection of high-risk patients with CAP. However, several disadvantages exist to limit the efficiency of these tools for accurate assessment in elderly CAP. Therefore, we aimed to explore a more comprehensive tool to predict mortality in elderly CAP population by establishing a nomogram model.MethodsWe retrospectively analyzed elderly patients with CAP in Minhang Hospital, Fudan University. The least absolute shrinkage and selection operator (LASSO) logistic regression combined with multivariate analyses were used to select independent predictive factors and established nomogram models via R software. Calibration plots, decision curve analysis (DCA) and receiver operating characteristic curve (ROC) were generated to assess predictive performance.ResultsLASSO and multiple logistic regression analyses showed the age, pulse, NLR, albumin, BUN, and D-dimer were independent risk predictors. A nomogram model (NB-DAPA model) was established for predicting mortality of CAP in elderly patients. In both training and validation set, the area under the curve (AUC) of the NB-DAPA model showed superiority than CURB-65 and qSOFA. Meanwhile, DCA revealed that the predictive model had significant net benefits for most threshold probabilities.ConclusionOur established NB-DAPA nomogram model is a simple and accurate tool for predicting in-hospital mortality of CAP, adapted for patients aged 65 years and above. The predictive performance of the NB-DAPA model was better than PSI, CURB-65 and qSOFA.

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Section: Discussionsupporting

confidence: 57%

Exploration of prognostic factors for prediction of mortality in elderly CAP population using a nomogram model

Shi

et al. 2022

Front. Med.

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“…To avoid missing important variables, all variables with p < .2 12,13 in the univariable logistic regression analysis were screened into multivariable logistic regression analysis. The stepwise method was conducted in the multivariable logistic regression analysis to identify the independent risk factors for a poor 28‐day prognosis.…”

Section: Methodsmentioning

confidence: 99%

An online nomogram of acute respiratory distress syndrome originating from pulmonary disease

Wang

Tang

et al. 2021

Eur J Clin Investigation

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Background Acute respiratory distress syndrome (ARDS) is a highly heterogeneous disease accompanied by high mortality. Our goal was to investigate the risk factors for 28‐day mortality and then establish a predictive online nomogram for ARDS originating from pulmonary disease (ARDSp). Methods We examined 1087 patients diagnosed with ARDS from January 2010 to December 2019 at the Second Affiliated Hospital of Chongqing Medical University. A total of 185 ARDSp patients were finally enrolled in the training cohort. A total of 43 ARDSp patients from January 2020 to August 2021 in the Second Affiliated Hospital of Chongqing Medical University and the Traditional Chinese Medical Hospital of Jiangbei District were included in the external validation cohort. Fundamental, clinical and laboratory variables at admission were gathered from medical records, and the 28‐day prognosis was followed up. Results In the training cohort, it was found that age, sex, C‐reactive protein, albumin and multiple organ dysfunction syndrome (MODS) were independent risk factors for 28‐day mortality via multivariate logistic regression. The online nomogram software for 28‐day mortality showed good discrimination, calibration and clinical utility in both the training cohort and external validation cohort. Conclusions For ARDSp patients, older males, lower C‐reactive protein and albumin levels, and MODS were independent predictors of a poor 28‐day prognosis. The online nomogram based on five independent factors could act as a predictive appliance in clinical practice.

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“…Kết quả nghiên cứu của Nguyễn Văn Tuấn tổn thương trên phim Xquang phổi: 72,7% bệnh nhân viêm phổi nặng có tổn thương phổi lan tỏa ở nhiều hơn một thùy phổi trên phim x-quang, hình ảnh mờ tổ chức kẽ thường gặp nhất (51,1%), thâm nhiễm dạng nốt ít gặp [6]. Aurélien Dinh tổn thương phổi nhiều thùy ở nhóm VPMPCĐ thất bại điều trị chiếm 21,8%, nhóm điều trị thành công là 16%, tràn dịch màng phổi ghi nhận 10,3% và 8,4% ở mỗi nhóm [7].…”

Section: đặC đIểm Cận Lâm Sàngunclassified

Nghiên Cứu Đặc Điểm Lâm Sàng, Cận Lâm Sàng, Một Số Yếu Tố Liên Quan Của Viêm Phổi Mắc Phải Cộng Đồng Sau Nhiễm Covid-19

Tống,

Nguyễn

2023

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Đặt vấn đề: Viêm phổi mắc phải cộng đồng là một trong những nguyên nhân gây nhập viện, tử vong và tiêu tốn chi phí y tế hàng đầu. Viêm phổi mắc phải cộng đồng sau bệnh COVID-19 là vấn đề mới, chưa được nghiên cứu. Mục tiêu nghiên cứu: Mô tả các đặc điểm lâm sàng, cận lâm sàng, yếu tố liên quan của viêm phổi mắc phải cộng đồng sau bệnh COVID-19. Đối tượng và phương pháp nghiên cứu: Nghiên cứu mô tả cắt ngang trên 127 bệnh nhân được chẩn đoán viêm phổi mắc phải cộng đồng sau bệnh COVID-19 nhập viện tại Bệnh viện Đa khoa thành phố Cần Thơ từ tháng 07/2022 đến tháng 04/2023. Kết quả: Triệu chứng cơ năng nổi bật là ho 94,5%, khạc đàm 93,2%, khó thở 86,7%, sốt 66,3% và đau ngực kiểu màng phổi 11,7%. Triệu chứng thực thể nổi bật là ran nổ 84,2%, ran ngáy 46,1%, ran ẩm 34,2%. Giá trị bạch cầu=13024±59,02/mm3. Giá trị trung vị của CRP là 70 mg/L, PaO2= 80,45±24,5 mmHg, PaO2/FiO2=245,31±81,97. Về X quang phổi, có 79,7% bệnh nhân tổn thương phế nang, 19,5% tổn thương mô kẽ và tràn dịch màng phổi 23,4%. Hậu COVID-19 là yếu tố nguy cơ viêm phổi mắc phải cộng đồng nặng. Kết luận: Đặc điểm lâm sàng và cận lâm sàng ở bệnh nhân viêm phổi mắc phải cộng đồng sau bệnh COVID-19 rất đa dạng, hậu COVID-19 có liên quan tới viêm phổi mắc phải cộng đồng nặng sau bệnh COVID-19.

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Factors Associated With Treatment Failure in Moderately Severe Community-Acquired Pneumonia

Abstract: IMPORTANCEFailure of treatment is the most serious complication in community-acquired pneumonia (CAP). OBJECTIVE To assess the potential risk factors for treatment failure in clinically stable patients with CAP.

Cited by 11 publications

References 30 publications

Exploration of prognostic factors for prediction of mortality in elderly CAP population using a nomogram model

Exploration of prognostic factors for prediction of mortality in elderly CAP population using a nomogram model

An online nomogram of acute respiratory distress syndrome originating from pulmonary disease

Nghiên Cứu Đặc Điểm Lâm Sàng, Cận Lâm Sàng, Một Số Yếu Tố Liên Quan Của Viêm Phổi Mắc Phải Cộng Đồng Sau Nhiễm Covid-19

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