Risk assessments for broncho-pleural fistula and respiratory failure after lung cancer surgery by National Clinical Database Japan
Background Broncho-pleural fistula (BPF) and respiratory failure (RF) are life-threatening complications after lung cancer surgery and can result in long-term hospitalization and decreased quality of life. Risk assessments for BPF and RF in addition to mortality and major morbidities are indispensab...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Endo, Shunsuke [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2018 |
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| Schlagwörter: |
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| Anmerkung: |
© The Author(s) 2018 |
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| Übergeordnetes Werk: |
Enthalten in: The Japanese journal of thoracic and cardiovascular surgery - Tōkyō : Springer Japan, 1998, 67(2018), 3 vom: 16. Okt., Seite 297-305 |
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| Übergeordnetes Werk: |
volume:67 ; year:2018 ; number:3 ; day:16 ; month:10 ; pages:297-305 |
| Links: |
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| DOI / URN: |
10.1007/s11748-018-1022-y |
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SPR022614095 |
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| 520 | |a Background Broncho-pleural fistula (BPF) and respiratory failure (RF) are life-threatening complications after lung cancer surgery and can result in long-term hospitalization and decreased quality of life. Risk assessments for BPF and RF in addition to mortality and major morbidities are indispensable in surgical decision-making and perioperative care. Methods The characteristics and operative data of 80,095 patients who had undergone lung cancer surgery were derived from the 2014 and 2015 National Clinical Database (NCD) of Japan datasets. After excluding 1501 patients, risk models were developed from these data and validated by another dataset for 42,352 patients derived from the 2016 NCD dataset. Receiver operating characteristic curves were generated for postoperative BPF and RF development. The concordance-index was used to assess the discriminatory ability and validity of the model. Results BPF and RF occurred in 259 (0.3%) and 420 patients (0.5%), respectively, in the model development dataset and in 129 (0.3%) and 198 patients (0.5%), respectively, in the model validation dataset. Characteristic variables including types of surgery and comorbidities were identified as risk factors for BPF and RF, respectively. The concordance indexes of assessments for BPF and RF were 0.847 (p < 0.001) and 0.848 (p < 0.001), respectively, for the development dataset and 0.850 (p < 0.001) and 0.844 (p < 0.001), respectively, for the validation dataset. Conclusions These models are satisfactory for predicting BPF and RF after lung cancer surgery in Japan and could guide preoperative assessment and optimal measures for preventing BPF and RF. | ||
| 650 | 4 | |a Lung cancer surgery |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Broncho-pleural fistula |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Respiratory failure |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Risk assessment |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Nationwide survey |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Ikeda, Norihiko |4 aut | |
| 700 | 1 | |a Kondo, Takashi |4 aut | |
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| 700 | 1 | |a Shimada, Yoshihisa |4 aut | |
| 700 | 1 | |a Sato, Masami |4 aut | |
| 700 | 1 | |a Toyooka, Shinichi |4 aut | |
| 700 | 1 | |a Okada, Yoshinori |4 aut | |
| 700 | 1 | |a Sato, Yukio |4 aut | |
| 700 | 1 | |a Yoshino, Ichiro |4 aut | |
| 700 | 1 | |a Okada, Morihito |4 aut | |
| 700 | 1 | |a Okumura, Meinoshin |4 aut | |
| 700 | 1 | |a Chida, Masayuki |4 aut | |
| 700 | 1 | |a Fukuchi, Eriko |4 aut | |
| 700 | 1 | |a Miyata, Hiroaki |4 aut | |
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10.1007/s11748-018-1022-y doi (DE-627)SPR022614095 (SPR)s11748-018-1022-y-e DE-627 ger DE-627 rakwb eng Endo, Shunsuke verfasserin aut Risk assessments for broncho-pleural fistula and respiratory failure after lung cancer surgery by National Clinical Database Japan 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2018 Background Broncho-pleural fistula (BPF) and respiratory failure (RF) are life-threatening complications after lung cancer surgery and can result in long-term hospitalization and decreased quality of life. Risk assessments for BPF and RF in addition to mortality and major morbidities are indispensable in surgical decision-making and perioperative care. Methods The characteristics and operative data of 80,095 patients who had undergone lung cancer surgery were derived from the 2014 and 2015 National Clinical Database (NCD) of Japan datasets. After excluding 1501 patients, risk models were developed from these data and validated by another dataset for 42,352 patients derived from the 2016 NCD dataset. Receiver operating characteristic curves were generated for postoperative BPF and RF development. The concordance-index was used to assess the discriminatory ability and validity of the model. Results BPF and RF occurred in 259 (0.3%) and 420 patients (0.5%), respectively, in the model development dataset and in 129 (0.3%) and 198 patients (0.5%), respectively, in the model validation dataset. Characteristic variables including types of surgery and comorbidities were identified as risk factors for BPF and RF, respectively. The concordance indexes of assessments for BPF and RF were 0.847 (p < 0.001) and 0.848 (p < 0.001), respectively, for the development dataset and 0.850 (p < 0.001) and 0.844 (p < 0.001), respectively, for the validation dataset. Conclusions These models are satisfactory for predicting BPF and RF after lung cancer surgery in Japan and could guide preoperative assessment and optimal measures for preventing BPF and RF. Lung cancer surgery (dpeaa)DE-He213 Broncho-pleural fistula (dpeaa)DE-He213 Respiratory failure (dpeaa)DE-He213 Risk assessment (dpeaa)DE-He213 Nationwide survey (dpeaa)DE-He213 Ikeda, Norihiko aut Kondo, Takashi aut Nakajima, Jun aut Kondo, Haruhiko aut Shimada, Yoshihisa aut Sato, Masami aut Toyooka, Shinichi aut Okada, Yoshinori aut Sato, Yukio aut Yoshino, Ichiro aut Okada, Morihito aut Okumura, Meinoshin aut Chida, Masayuki aut Fukuchi, Eriko aut Miyata, Hiroaki aut Enthalten in The Japanese journal of thoracic and cardiovascular surgery Tōkyō : Springer Japan, 1998 67(2018), 3 vom: 16. Okt., Seite 297-305 (DE-627)539545104 (DE-600)2381600-4 1863-2092 nnns volume:67 year:2018 number:3 day:16 month:10 pages:297-305 https://dx.doi.org/10.1007/s11748-018-1022-y kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_120 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 AR 67 2018 3 16 10 297-305 |
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10.1007/s11748-018-1022-y doi (DE-627)SPR022614095 (SPR)s11748-018-1022-y-e DE-627 ger DE-627 rakwb eng Endo, Shunsuke verfasserin aut Risk assessments for broncho-pleural fistula and respiratory failure after lung cancer surgery by National Clinical Database Japan 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2018 Background Broncho-pleural fistula (BPF) and respiratory failure (RF) are life-threatening complications after lung cancer surgery and can result in long-term hospitalization and decreased quality of life. Risk assessments for BPF and RF in addition to mortality and major morbidities are indispensable in surgical decision-making and perioperative care. Methods The characteristics and operative data of 80,095 patients who had undergone lung cancer surgery were derived from the 2014 and 2015 National Clinical Database (NCD) of Japan datasets. After excluding 1501 patients, risk models were developed from these data and validated by another dataset for 42,352 patients derived from the 2016 NCD dataset. Receiver operating characteristic curves were generated for postoperative BPF and RF development. The concordance-index was used to assess the discriminatory ability and validity of the model. Results BPF and RF occurred in 259 (0.3%) and 420 patients (0.5%), respectively, in the model development dataset and in 129 (0.3%) and 198 patients (0.5%), respectively, in the model validation dataset. Characteristic variables including types of surgery and comorbidities were identified as risk factors for BPF and RF, respectively. The concordance indexes of assessments for BPF and RF were 0.847 (p < 0.001) and 0.848 (p < 0.001), respectively, for the development dataset and 0.850 (p < 0.001) and 0.844 (p < 0.001), respectively, for the validation dataset. Conclusions These models are satisfactory for predicting BPF and RF after lung cancer surgery in Japan and could guide preoperative assessment and optimal measures for preventing BPF and RF. Lung cancer surgery (dpeaa)DE-He213 Broncho-pleural fistula (dpeaa)DE-He213 Respiratory failure (dpeaa)DE-He213 Risk assessment (dpeaa)DE-He213 Nationwide survey (dpeaa)DE-He213 Ikeda, Norihiko aut Kondo, Takashi aut Nakajima, Jun aut Kondo, Haruhiko aut Shimada, Yoshihisa aut Sato, Masami aut Toyooka, Shinichi aut Okada, Yoshinori aut Sato, Yukio aut Yoshino, Ichiro aut Okada, Morihito aut Okumura, Meinoshin aut Chida, Masayuki aut Fukuchi, Eriko aut Miyata, Hiroaki aut Enthalten in The Japanese journal of thoracic and cardiovascular surgery Tōkyō : Springer Japan, 1998 67(2018), 3 vom: 16. Okt., Seite 297-305 (DE-627)539545104 (DE-600)2381600-4 1863-2092 nnns volume:67 year:2018 number:3 day:16 month:10 pages:297-305 https://dx.doi.org/10.1007/s11748-018-1022-y kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_120 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 AR 67 2018 3 16 10 297-305 |
| allfields_unstemmed |
10.1007/s11748-018-1022-y doi (DE-627)SPR022614095 (SPR)s11748-018-1022-y-e DE-627 ger DE-627 rakwb eng Endo, Shunsuke verfasserin aut Risk assessments for broncho-pleural fistula and respiratory failure after lung cancer surgery by National Clinical Database Japan 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2018 Background Broncho-pleural fistula (BPF) and respiratory failure (RF) are life-threatening complications after lung cancer surgery and can result in long-term hospitalization and decreased quality of life. Risk assessments for BPF and RF in addition to mortality and major morbidities are indispensable in surgical decision-making and perioperative care. Methods The characteristics and operative data of 80,095 patients who had undergone lung cancer surgery were derived from the 2014 and 2015 National Clinical Database (NCD) of Japan datasets. After excluding 1501 patients, risk models were developed from these data and validated by another dataset for 42,352 patients derived from the 2016 NCD dataset. Receiver operating characteristic curves were generated for postoperative BPF and RF development. The concordance-index was used to assess the discriminatory ability and validity of the model. Results BPF and RF occurred in 259 (0.3%) and 420 patients (0.5%), respectively, in the model development dataset and in 129 (0.3%) and 198 patients (0.5%), respectively, in the model validation dataset. Characteristic variables including types of surgery and comorbidities were identified as risk factors for BPF and RF, respectively. The concordance indexes of assessments for BPF and RF were 0.847 (p < 0.001) and 0.848 (p < 0.001), respectively, for the development dataset and 0.850 (p < 0.001) and 0.844 (p < 0.001), respectively, for the validation dataset. Conclusions These models are satisfactory for predicting BPF and RF after lung cancer surgery in Japan and could guide preoperative assessment and optimal measures for preventing BPF and RF. Lung cancer surgery (dpeaa)DE-He213 Broncho-pleural fistula (dpeaa)DE-He213 Respiratory failure (dpeaa)DE-He213 Risk assessment (dpeaa)DE-He213 Nationwide survey (dpeaa)DE-He213 Ikeda, Norihiko aut Kondo, Takashi aut Nakajima, Jun aut Kondo, Haruhiko aut Shimada, Yoshihisa aut Sato, Masami aut Toyooka, Shinichi aut Okada, Yoshinori aut Sato, Yukio aut Yoshino, Ichiro aut Okada, Morihito aut Okumura, Meinoshin aut Chida, Masayuki aut Fukuchi, Eriko aut Miyata, Hiroaki aut Enthalten in The Japanese journal of thoracic and cardiovascular surgery Tōkyō : Springer Japan, 1998 67(2018), 3 vom: 16. Okt., Seite 297-305 (DE-627)539545104 (DE-600)2381600-4 1863-2092 nnns volume:67 year:2018 number:3 day:16 month:10 pages:297-305 https://dx.doi.org/10.1007/s11748-018-1022-y kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_120 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 AR 67 2018 3 16 10 297-305 |
| allfieldsGer |
10.1007/s11748-018-1022-y doi (DE-627)SPR022614095 (SPR)s11748-018-1022-y-e DE-627 ger DE-627 rakwb eng Endo, Shunsuke verfasserin aut Risk assessments for broncho-pleural fistula and respiratory failure after lung cancer surgery by National Clinical Database Japan 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2018 Background Broncho-pleural fistula (BPF) and respiratory failure (RF) are life-threatening complications after lung cancer surgery and can result in long-term hospitalization and decreased quality of life. Risk assessments for BPF and RF in addition to mortality and major morbidities are indispensable in surgical decision-making and perioperative care. Methods The characteristics and operative data of 80,095 patients who had undergone lung cancer surgery were derived from the 2014 and 2015 National Clinical Database (NCD) of Japan datasets. After excluding 1501 patients, risk models were developed from these data and validated by another dataset for 42,352 patients derived from the 2016 NCD dataset. Receiver operating characteristic curves were generated for postoperative BPF and RF development. The concordance-index was used to assess the discriminatory ability and validity of the model. Results BPF and RF occurred in 259 (0.3%) and 420 patients (0.5%), respectively, in the model development dataset and in 129 (0.3%) and 198 patients (0.5%), respectively, in the model validation dataset. Characteristic variables including types of surgery and comorbidities were identified as risk factors for BPF and RF, respectively. The concordance indexes of assessments for BPF and RF were 0.847 (p < 0.001) and 0.848 (p < 0.001), respectively, for the development dataset and 0.850 (p < 0.001) and 0.844 (p < 0.001), respectively, for the validation dataset. Conclusions These models are satisfactory for predicting BPF and RF after lung cancer surgery in Japan and could guide preoperative assessment and optimal measures for preventing BPF and RF. Lung cancer surgery (dpeaa)DE-He213 Broncho-pleural fistula (dpeaa)DE-He213 Respiratory failure (dpeaa)DE-He213 Risk assessment (dpeaa)DE-He213 Nationwide survey (dpeaa)DE-He213 Ikeda, Norihiko aut Kondo, Takashi aut Nakajima, Jun aut Kondo, Haruhiko aut Shimada, Yoshihisa aut Sato, Masami aut Toyooka, Shinichi aut Okada, Yoshinori aut Sato, Yukio aut Yoshino, Ichiro aut Okada, Morihito aut Okumura, Meinoshin aut Chida, Masayuki aut Fukuchi, Eriko aut Miyata, Hiroaki aut Enthalten in The Japanese journal of thoracic and cardiovascular surgery Tōkyō : Springer Japan, 1998 67(2018), 3 vom: 16. Okt., Seite 297-305 (DE-627)539545104 (DE-600)2381600-4 1863-2092 nnns volume:67 year:2018 number:3 day:16 month:10 pages:297-305 https://dx.doi.org/10.1007/s11748-018-1022-y kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_120 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 AR 67 2018 3 16 10 297-305 |
| allfieldsSound |
10.1007/s11748-018-1022-y doi (DE-627)SPR022614095 (SPR)s11748-018-1022-y-e DE-627 ger DE-627 rakwb eng Endo, Shunsuke verfasserin aut Risk assessments for broncho-pleural fistula and respiratory failure after lung cancer surgery by National Clinical Database Japan 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2018 Background Broncho-pleural fistula (BPF) and respiratory failure (RF) are life-threatening complications after lung cancer surgery and can result in long-term hospitalization and decreased quality of life. Risk assessments for BPF and RF in addition to mortality and major morbidities are indispensable in surgical decision-making and perioperative care. Methods The characteristics and operative data of 80,095 patients who had undergone lung cancer surgery were derived from the 2014 and 2015 National Clinical Database (NCD) of Japan datasets. After excluding 1501 patients, risk models were developed from these data and validated by another dataset for 42,352 patients derived from the 2016 NCD dataset. Receiver operating characteristic curves were generated for postoperative BPF and RF development. The concordance-index was used to assess the discriminatory ability and validity of the model. Results BPF and RF occurred in 259 (0.3%) and 420 patients (0.5%), respectively, in the model development dataset and in 129 (0.3%) and 198 patients (0.5%), respectively, in the model validation dataset. Characteristic variables including types of surgery and comorbidities were identified as risk factors for BPF and RF, respectively. The concordance indexes of assessments for BPF and RF were 0.847 (p < 0.001) and 0.848 (p < 0.001), respectively, for the development dataset and 0.850 (p < 0.001) and 0.844 (p < 0.001), respectively, for the validation dataset. Conclusions These models are satisfactory for predicting BPF and RF after lung cancer surgery in Japan and could guide preoperative assessment and optimal measures for preventing BPF and RF. Lung cancer surgery (dpeaa)DE-He213 Broncho-pleural fistula (dpeaa)DE-He213 Respiratory failure (dpeaa)DE-He213 Risk assessment (dpeaa)DE-He213 Nationwide survey (dpeaa)DE-He213 Ikeda, Norihiko aut Kondo, Takashi aut Nakajima, Jun aut Kondo, Haruhiko aut Shimada, Yoshihisa aut Sato, Masami aut Toyooka, Shinichi aut Okada, Yoshinori aut Sato, Yukio aut Yoshino, Ichiro aut Okada, Morihito aut Okumura, Meinoshin aut Chida, Masayuki aut Fukuchi, Eriko aut Miyata, Hiroaki aut Enthalten in The Japanese journal of thoracic and cardiovascular surgery Tōkyō : Springer Japan, 1998 67(2018), 3 vom: 16. Okt., Seite 297-305 (DE-627)539545104 (DE-600)2381600-4 1863-2092 nnns volume:67 year:2018 number:3 day:16 month:10 pages:297-305 https://dx.doi.org/10.1007/s11748-018-1022-y kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_120 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 AR 67 2018 3 16 10 297-305 |
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Risk assessments for BPF and RF in addition to mortality and major morbidities are indispensable in surgical decision-making and perioperative care. Methods The characteristics and operative data of 80,095 patients who had undergone lung cancer surgery were derived from the 2014 and 2015 National Clinical Database (NCD) of Japan datasets. After excluding 1501 patients, risk models were developed from these data and validated by another dataset for 42,352 patients derived from the 2016 NCD dataset. Receiver operating characteristic curves were generated for postoperative BPF and RF development. The concordance-index was used to assess the discriminatory ability and validity of the model. Results BPF and RF occurred in 259 (0.3%) and 420 patients (0.5%), respectively, in the model development dataset and in 129 (0.3%) and 198 patients (0.5%), respectively, in the model validation dataset. Characteristic variables including types of surgery and comorbidities were identified as risk factors for BPF and RF, respectively. The concordance indexes of assessments for BPF and RF were 0.847 (p < 0.001) and 0.848 (p < 0.001), respectively, for the development dataset and 0.850 (p < 0.001) and 0.844 (p < 0.001), respectively, for the validation dataset. 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Endo, Shunsuke |
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Risk assessments for broncho-pleural fistula and respiratory failure after lung cancer surgery by National Clinical Database Japan Lung cancer surgery (dpeaa)DE-He213 Broncho-pleural fistula (dpeaa)DE-He213 Respiratory failure (dpeaa)DE-He213 Risk assessment (dpeaa)DE-He213 Nationwide survey (dpeaa)DE-He213 |
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Endo, Shunsuke Ikeda, Norihiko Kondo, Takashi Nakajima, Jun Kondo, Haruhiko Shimada, Yoshihisa Sato, Masami Toyooka, Shinichi Okada, Yoshinori Sato, Yukio Yoshino, Ichiro Okada, Morihito Okumura, Meinoshin Chida, Masayuki Fukuchi, Eriko Miyata, Hiroaki |
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risk assessments for broncho-pleural fistula and respiratory failure after lung cancer surgery by national clinical database japan |
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Risk assessments for broncho-pleural fistula and respiratory failure after lung cancer surgery by National Clinical Database Japan |
| abstract |
Background Broncho-pleural fistula (BPF) and respiratory failure (RF) are life-threatening complications after lung cancer surgery and can result in long-term hospitalization and decreased quality of life. Risk assessments for BPF and RF in addition to mortality and major morbidities are indispensable in surgical decision-making and perioperative care. Methods The characteristics and operative data of 80,095 patients who had undergone lung cancer surgery were derived from the 2014 and 2015 National Clinical Database (NCD) of Japan datasets. After excluding 1501 patients, risk models were developed from these data and validated by another dataset for 42,352 patients derived from the 2016 NCD dataset. Receiver operating characteristic curves were generated for postoperative BPF and RF development. The concordance-index was used to assess the discriminatory ability and validity of the model. Results BPF and RF occurred in 259 (0.3%) and 420 patients (0.5%), respectively, in the model development dataset and in 129 (0.3%) and 198 patients (0.5%), respectively, in the model validation dataset. Characteristic variables including types of surgery and comorbidities were identified as risk factors for BPF and RF, respectively. The concordance indexes of assessments for BPF and RF were 0.847 (p < 0.001) and 0.848 (p < 0.001), respectively, for the development dataset and 0.850 (p < 0.001) and 0.844 (p < 0.001), respectively, for the validation dataset. Conclusions These models are satisfactory for predicting BPF and RF after lung cancer surgery in Japan and could guide preoperative assessment and optimal measures for preventing BPF and RF. © The Author(s) 2018 |
| abstractGer |
Background Broncho-pleural fistula (BPF) and respiratory failure (RF) are life-threatening complications after lung cancer surgery and can result in long-term hospitalization and decreased quality of life. Risk assessments for BPF and RF in addition to mortality and major morbidities are indispensable in surgical decision-making and perioperative care. Methods The characteristics and operative data of 80,095 patients who had undergone lung cancer surgery were derived from the 2014 and 2015 National Clinical Database (NCD) of Japan datasets. After excluding 1501 patients, risk models were developed from these data and validated by another dataset for 42,352 patients derived from the 2016 NCD dataset. Receiver operating characteristic curves were generated for postoperative BPF and RF development. The concordance-index was used to assess the discriminatory ability and validity of the model. Results BPF and RF occurred in 259 (0.3%) and 420 patients (0.5%), respectively, in the model development dataset and in 129 (0.3%) and 198 patients (0.5%), respectively, in the model validation dataset. Characteristic variables including types of surgery and comorbidities were identified as risk factors for BPF and RF, respectively. The concordance indexes of assessments for BPF and RF were 0.847 (p < 0.001) and 0.848 (p < 0.001), respectively, for the development dataset and 0.850 (p < 0.001) and 0.844 (p < 0.001), respectively, for the validation dataset. Conclusions These models are satisfactory for predicting BPF and RF after lung cancer surgery in Japan and could guide preoperative assessment and optimal measures for preventing BPF and RF. © The Author(s) 2018 |
| abstract_unstemmed |
Background Broncho-pleural fistula (BPF) and respiratory failure (RF) are life-threatening complications after lung cancer surgery and can result in long-term hospitalization and decreased quality of life. Risk assessments for BPF and RF in addition to mortality and major morbidities are indispensable in surgical decision-making and perioperative care. Methods The characteristics and operative data of 80,095 patients who had undergone lung cancer surgery were derived from the 2014 and 2015 National Clinical Database (NCD) of Japan datasets. After excluding 1501 patients, risk models were developed from these data and validated by another dataset for 42,352 patients derived from the 2016 NCD dataset. Receiver operating characteristic curves were generated for postoperative BPF and RF development. The concordance-index was used to assess the discriminatory ability and validity of the model. Results BPF and RF occurred in 259 (0.3%) and 420 patients (0.5%), respectively, in the model development dataset and in 129 (0.3%) and 198 patients (0.5%), respectively, in the model validation dataset. Characteristic variables including types of surgery and comorbidities were identified as risk factors for BPF and RF, respectively. The concordance indexes of assessments for BPF and RF were 0.847 (p < 0.001) and 0.848 (p < 0.001), respectively, for the development dataset and 0.850 (p < 0.001) and 0.844 (p < 0.001), respectively, for the validation dataset. Conclusions These models are satisfactory for predicting BPF and RF after lung cancer surgery in Japan and could guide preoperative assessment and optimal measures for preventing BPF and RF. © The Author(s) 2018 |
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Ikeda, Norihiko Kondo, Takashi Nakajima, Jun Kondo, Haruhiko Shimada, Yoshihisa Sato, Masami Toyooka, Shinichi Okada, Yoshinori Sato, Yukio Yoshino, Ichiro Okada, Morihito Okumura, Meinoshin Chida, Masayuki Fukuchi, Eriko Miyata, Hiroaki |
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Ikeda, Norihiko Kondo, Takashi Nakajima, Jun Kondo, Haruhiko Shimada, Yoshihisa Sato, Masami Toyooka, Shinichi Okada, Yoshinori Sato, Yukio Yoshino, Ichiro Okada, Morihito Okumura, Meinoshin Chida, Masayuki Fukuchi, Eriko Miyata, Hiroaki |
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Risk assessments for BPF and RF in addition to mortality and major morbidities are indispensable in surgical decision-making and perioperative care. Methods The characteristics and operative data of 80,095 patients who had undergone lung cancer surgery were derived from the 2014 and 2015 National Clinical Database (NCD) of Japan datasets. After excluding 1501 patients, risk models were developed from these data and validated by another dataset for 42,352 patients derived from the 2016 NCD dataset. Receiver operating characteristic curves were generated for postoperative BPF and RF development. The concordance-index was used to assess the discriminatory ability and validity of the model. Results BPF and RF occurred in 259 (0.3%) and 420 patients (0.5%), respectively, in the model development dataset and in 129 (0.3%) and 198 patients (0.5%), respectively, in the model validation dataset. Characteristic variables including types of surgery and comorbidities were identified as risk factors for BPF and RF, respectively. The concordance indexes of assessments for BPF and RF were 0.847 (p < 0.001) and 0.848 (p < 0.001), respectively, for the development dataset and 0.850 (p < 0.001) and 0.844 (p < 0.001), respectively, for the validation dataset. 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