The clinical application of metagenomic next-generation sequencing in immunocompromised patients with severe respiratory infections in the ICU

Early targeted antibiotic therapy is crucial for improving the prognosis of immunocompromised patients with severe respiratory infections (SRIs) in the intensive care unit (ICU). Metagenomic next-generation sequencing (mNGS) has shown significant value in pathogen detection, but research on lower re...

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Published inRespiratory research Vol. 25; no. 1; pp. 360 - 13
Main Authors Zhao, Junjie, Sun, Yong, Tang, Jing, Guo, Kai, Wang, Kaiyu, Zhuge, Jiancheng, Fang, Honglong
Format Journal Article
LanguageEnglish
Published England BioMed Central Ltd 05.10.2024
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Abstract Early targeted antibiotic therapy is crucial for improving the prognosis of immunocompromised patients with severe respiratory infections (SRIs) in the intensive care unit (ICU). Metagenomic next-generation sequencing (mNGS) has shown significant value in pathogen detection, but research on lower respiratory tract microorganisms remains limited. This study enrolled 234 patients with SRIs in the ICU, and individuals were categorized into immunocompromised and immunocompetent groups. We compared the diagnostic performance of mNGS using bronchoalveolar lavage fluid (BALF) with conventional microbiological tests (CMTs) and analyzed the value of mNGS in immunocompromised patients with SRIs in the ICU. Among all patients, the pathogenic microorganism detection rate of mNGS was higher than that of CMTs (94.02% vs 66.67%, P < 0.05), both in the immunocompromised group (95.0% vs 58.75%, P < 0.05) and the immunocompetent group (93.51% vs 71.43%, P < 0.05). mNGS detected more pathogens than CMTs did (167 vs 51), identifying 116 organisms that were missed by CMTs. The proportion of antibiotic regimen adjustments based on mNGS results was significantly higher compared to CMTs in both the immunocompromised (70.00% vs 17.50%, P < 0.05) and immunocompetent groups (48.70% vs 15.58%, P < 0.05). In the immunocompromised group, patients who had their antibiotic treatment adjusted on mNGS results had improved prognosis, with significantly lower ICU mortality (8.93% vs 50%, P < 0.05) and 28-day mortality rates (30.36% vs 68.75%, P < 0.05) than CMTs. In the immunocompetent group, no statistically significant differences were observed in ICU mortality or 28-day mortality (20.00% vs 33.33%, P > 0.05; 42.67% vs 45.83%, P > 0.05). mNGS shows significant value in detecting pathogens in immunocompromised patients with SRIs in ICU. For immunocompromised patients who respond poorly to empirical treatment, mNGS can provide an etiological basis, helping adjust antibiotic regimens more precisely and thereby improving patient prognosis.
AbstractList Background Early targeted antibiotic therapy is crucial for improving the prognosis of immunocompromised patients with severe respiratory infections (SRIs) in the intensive care unit (ICU). Metagenomic next-generation sequencing (mNGS) has shown significant value in pathogen detection, but research on lower respiratory tract microorganisms remains limited. Methods This study enrolled 234 patients with SRIs in the ICU, and individuals were categorized into immunocompromised and immunocompetent groups. We compared the diagnostic performance of mNGS using bronchoalveolar lavage fluid (BALF) with conventional microbiological tests (CMTs) and analyzed the value of mNGS in immunocompromised patients with SRIs in the ICU. Results Among all patients, the pathogenic microorganism detection rate of mNGS was higher than that of CMTs (94.02% vs 66.67%, P < 0.05), both in the immunocompromised group (95.0% vs 58.75%, P < 0.05) and the immunocompetent group (93.51% vs 71.43%, P < 0.05). mNGS detected more pathogens than CMTs did (167 vs 51), identifying 116 organisms that were missed by CMTs. The proportion of antibiotic regimen adjustments based on mNGS results was significantly higher compared to CMTs in both the immunocompromised (70.00% vs 17.50%, P < 0.05) and immunocompetent groups (48.70% vs 15.58%, P < 0.05). In the immunocompromised group, patients who had their antibiotic treatment adjusted on mNGS results had improved prognosis, with significantly lower ICU mortality (8.93% vs 50%, P < 0.05) and 28-day mortality rates (30.36% vs 68.75%, P < 0.05) than CMTs. In the immunocompetent group, no statistically significant differences were observed in ICU mortality or 28-day mortality (20.00% vs 33.33%, P > 0.05; 42.67% vs 45.83%, P > 0.05). Conclusion mNGS shows significant value in detecting pathogens in immunocompromised patients with SRIs in ICU. For immunocompromised patients who respond poorly to empirical treatment, mNGS can provide an etiological basis, helping adjust antibiotic regimens more precisely and thereby improving patient prognosis. Keywords: Antibiotics, Etiology, Metagenomic next-generation sequencing, Severe respiratory infections, Bronchoalveolar lavage fluid
Early targeted antibiotic therapy is crucial for improving the prognosis of immunocompromised patients with severe respiratory infections (SRIs) in the intensive care unit (ICU). Metagenomic next-generation sequencing (mNGS) has shown significant value in pathogen detection, but research on lower respiratory tract microorganisms remains limited. This study enrolled 234 patients with SRIs in the ICU, and individuals were categorized into immunocompromised and immunocompetent groups. We compared the diagnostic performance of mNGS using bronchoalveolar lavage fluid (BALF) with conventional microbiological tests (CMTs) and analyzed the value of mNGS in immunocompromised patients with SRIs in the ICU. Among all patients, the pathogenic microorganism detection rate of mNGS was higher than that of CMTs (94.02% vs 66.67%, P < 0.05), both in the immunocompromised group (95.0% vs 58.75%, P < 0.05) and the immunocompetent group (93.51% vs 71.43%, P < 0.05). mNGS detected more pathogens than CMTs did (167 vs 51), identifying 116 organisms that were missed by CMTs. The proportion of antibiotic regimen adjustments based on mNGS results was significantly higher compared to CMTs in both the immunocompromised (70.00% vs 17.50%, P < 0.05) and immunocompetent groups (48.70% vs 15.58%, P < 0.05). In the immunocompromised group, patients who had their antibiotic treatment adjusted on mNGS results had improved prognosis, with significantly lower ICU mortality (8.93% vs 50%, P < 0.05) and 28-day mortality rates (30.36% vs 68.75%, P < 0.05) than CMTs. In the immunocompetent group, no statistically significant differences were observed in ICU mortality or 28-day mortality (20.00% vs 33.33%, P > 0.05; 42.67% vs 45.83%, P > 0.05). mNGS shows significant value in detecting pathogens in immunocompromised patients with SRIs in ICU. For immunocompromised patients who respond poorly to empirical treatment, mNGS can provide an etiological basis, helping adjust antibiotic regimens more precisely and thereby improving patient prognosis.
Abstract Background Early targeted antibiotic therapy is crucial for improving the prognosis of immunocompromised patients with severe respiratory infections (SRIs) in the intensive care unit (ICU). Metagenomic next-generation sequencing (mNGS) has shown significant value in pathogen detection, but research on lower respiratory tract microorganisms remains limited. Methods This study enrolled 234 patients with SRIs in the ICU, and individuals were categorized into immunocompromised and immunocompetent groups. We compared the diagnostic performance of mNGS using bronchoalveolar lavage fluid (BALF) with conventional microbiological tests (CMTs) and analyzed the value of mNGS in immunocompromised patients with SRIs in the ICU. Results Among all patients, the pathogenic microorganism detection rate of mNGS was higher than that of CMTs (94.02% vs 66.67%, P < 0.05), both in the immunocompromised group (95.0% vs 58.75%, P < 0.05) and the immunocompetent group (93.51% vs 71.43%, P < 0.05). mNGS detected more pathogens than CMTs did (167 vs 51), identifying 116 organisms that were missed by CMTs. The proportion of antibiotic regimen adjustments based on mNGS results was significantly higher compared to CMTs in both the immunocompromised (70.00% vs 17.50%, P < 0.05) and immunocompetent groups (48.70% vs 15.58%, P < 0.05). In the immunocompromised group, patients who had their antibiotic treatment adjusted on mNGS results had improved prognosis, with significantly lower ICU mortality (8.93% vs 50%, P < 0.05) and 28-day mortality rates (30.36% vs 68.75%, P < 0.05) than CMTs. In the immunocompetent group, no statistically significant differences were observed in ICU mortality or 28-day mortality (20.00% vs 33.33%, P > 0.05; 42.67% vs 45.83%, P > 0.05). Conclusion mNGS shows significant value in detecting pathogens in immunocompromised patients with SRIs in ICU. For immunocompromised patients who respond poorly to empirical treatment, mNGS can provide an etiological basis, helping adjust antibiotic regimens more precisely and thereby improving patient prognosis.
Early targeted antibiotic therapy is crucial for improving the prognosis of immunocompromised patients with severe respiratory infections (SRIs) in the intensive care unit (ICU). Metagenomic next-generation sequencing (mNGS) has shown significant value in pathogen detection, but research on lower respiratory tract microorganisms remains limited.BACKGROUNDEarly targeted antibiotic therapy is crucial for improving the prognosis of immunocompromised patients with severe respiratory infections (SRIs) in the intensive care unit (ICU). Metagenomic next-generation sequencing (mNGS) has shown significant value in pathogen detection, but research on lower respiratory tract microorganisms remains limited.This study enrolled 234 patients with SRIs in the ICU, and individuals were categorized into immunocompromised and immunocompetent groups. We compared the diagnostic performance of mNGS using bronchoalveolar lavage fluid (BALF) with conventional microbiological tests (CMTs) and analyzed the value of mNGS in immunocompromised patients with SRIs in the ICU.METHODSThis study enrolled 234 patients with SRIs in the ICU, and individuals were categorized into immunocompromised and immunocompetent groups. We compared the diagnostic performance of mNGS using bronchoalveolar lavage fluid (BALF) with conventional microbiological tests (CMTs) and analyzed the value of mNGS in immunocompromised patients with SRIs in the ICU.Among all patients, the pathogenic microorganism detection rate of mNGS was higher than that of CMTs (94.02% vs 66.67%, P < 0.05), both in the immunocompromised group (95.0% vs 58.75%, P < 0.05) and the immunocompetent group (93.51% vs 71.43%, P < 0.05). mNGS detected more pathogens than CMTs did (167 vs 51), identifying 116 organisms that were missed by CMTs. The proportion of antibiotic regimen adjustments based on mNGS results was significantly higher compared to CMTs in both the immunocompromised (70.00% vs 17.50%, P < 0.05) and immunocompetent groups (48.70% vs 15.58%, P < 0.05). In the immunocompromised group, patients who had their antibiotic treatment adjusted on mNGS results had improved prognosis, with significantly lower ICU mortality (8.93% vs 50%, P < 0.05) and 28-day mortality rates (30.36% vs 68.75%, P < 0.05) than CMTs. In the immunocompetent group, no statistically significant differences were observed in ICU mortality or 28-day mortality (20.00% vs 33.33%, P > 0.05; 42.67% vs 45.83%, P > 0.05).RESULTSAmong all patients, the pathogenic microorganism detection rate of mNGS was higher than that of CMTs (94.02% vs 66.67%, P < 0.05), both in the immunocompromised group (95.0% vs 58.75%, P < 0.05) and the immunocompetent group (93.51% vs 71.43%, P < 0.05). mNGS detected more pathogens than CMTs did (167 vs 51), identifying 116 organisms that were missed by CMTs. The proportion of antibiotic regimen adjustments based on mNGS results was significantly higher compared to CMTs in both the immunocompromised (70.00% vs 17.50%, P < 0.05) and immunocompetent groups (48.70% vs 15.58%, P < 0.05). In the immunocompromised group, patients who had their antibiotic treatment adjusted on mNGS results had improved prognosis, with significantly lower ICU mortality (8.93% vs 50%, P < 0.05) and 28-day mortality rates (30.36% vs 68.75%, P < 0.05) than CMTs. In the immunocompetent group, no statistically significant differences were observed in ICU mortality or 28-day mortality (20.00% vs 33.33%, P > 0.05; 42.67% vs 45.83%, P > 0.05).mNGS shows significant value in detecting pathogens in immunocompromised patients with SRIs in ICU. For immunocompromised patients who respond poorly to empirical treatment, mNGS can provide an etiological basis, helping adjust antibiotic regimens more precisely and thereby improving patient prognosis.CONCLUSIONmNGS shows significant value in detecting pathogens in immunocompromised patients with SRIs in ICU. For immunocompromised patients who respond poorly to empirical treatment, mNGS can provide an etiological basis, helping adjust antibiotic regimens more precisely and thereby improving patient prognosis.
Early targeted antibiotic therapy is crucial for improving the prognosis of immunocompromised patients with severe respiratory infections (SRIs) in the intensive care unit (ICU). Metagenomic next-generation sequencing (mNGS) has shown significant value in pathogen detection, but research on lower respiratory tract microorganisms remains limited. This study enrolled 234 patients with SRIs in the ICU, and individuals were categorized into immunocompromised and immunocompetent groups. We compared the diagnostic performance of mNGS using bronchoalveolar lavage fluid (BALF) with conventional microbiological tests (CMTs) and analyzed the value of mNGS in immunocompromised patients with SRIs in the ICU. Among all patients, the pathogenic microorganism detection rate of mNGS was higher than that of CMTs (94.02% vs 66.67%, P < 0.05), both in the immunocompromised group (95.0% vs 58.75%, P < 0.05) and the immunocompetent group (93.51% vs 71.43%, P < 0.05). mNGS detected more pathogens than CMTs did (167 vs 51), identifying 116 organisms that were missed by CMTs. The proportion of antibiotic regimen adjustments based on mNGS results was significantly higher compared to CMTs in both the immunocompromised (70.00% vs 17.50%, P < 0.05) and immunocompetent groups (48.70% vs 15.58%, P < 0.05). In the immunocompromised group, patients who had their antibiotic treatment adjusted on mNGS results had improved prognosis, with significantly lower ICU mortality (8.93% vs 50%, P < 0.05) and 28-day mortality rates (30.36% vs 68.75%, P < 0.05) than CMTs. In the immunocompetent group, no statistically significant differences were observed in ICU mortality or 28-day mortality (20.00% vs 33.33%, P > 0.05; 42.67% vs 45.83%, P > 0.05). mNGS shows significant value in detecting pathogens in immunocompromised patients with SRIs in ICU. For immunocompromised patients who respond poorly to empirical treatment, mNGS can provide an etiological basis, helping adjust antibiotic regimens more precisely and thereby improving patient prognosis.
ArticleNumber 360
Audience Academic
Author Zhao, Junjie
Wang, Kaiyu
Sun, Yong
Tang, Jing
Fang, Honglong
Guo, Kai
Zhuge, Jiancheng
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Cites_doi 10.1007/s40291-023-00669-8
10.3389/fcimb.2023.1291980
10.3389/fcimb.2022.877205
10.1093/cid/cix881
10.1093/bioinformatics/btu170
10.3390/jof6030106
10.1080/1040841x.2019.1681933
10.1183/13993003.01656-2017
10.1016/j.idc.2019.05.008
10.5858/arpa.2016-0539-ra
10.1007/s00134-019-05906-5
10.1186/s13073-022-01072-4
10.1164/rccm.201706-1097le
10.1093/clinchem/hvab143
10.3389/fcimb.2019.00351
10.1128/jcm.02264-16
10.1093/jpids/piw066
10.1007/s00134-020-06184-2
10.1007/s00134-019-05519-y
10.3389/fcimb.2023.1209724
10.1186/1471-2466-14-144
10.1086/525263
10.1007/s00134-023-07295-2
10.1038/nmeth.1923
10.2147/idr.s387134
10.1164/rccm.201906-1185ST
10.3389/fcimb.2021.541092
10.1007/s00134-017-4884-z
10.1038/s41591-020-1105-z
10.3389/fcimb.2021.694756
10.3389/fmicb.2021.751073
10.1186/s13059-014-0487-y
10.1016/j.idc.2021.08.002
10.1164/rccm.201804-0681oc
10.1016/s2213-2600(18)30345-x
10.1073/pnas.1809700115
10.1016/s0140-6736(20)30251-8
10.3389/fcimb.2020.567615
10.1001/jama.2017.10569
10.7883/yoken.jjid.2017.424
10.1097/CCM.0000000000005270
10.1186/s13059-019-1891-0
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Issue 1
Keywords Bronchoalveolar lavage fluid
Metagenomic next-generation sequencing
Antibiotics
Severe respiratory infections
Etiology
Language English
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References BW Buchan (2991_CR5) 2021; 68
X Zhou (2991_CR12) 2019
J Legoff (2991_CR35) 2019; 199
E Azoulay (2991_CR3) 2019; 7
W Gu (2991_CR9) 2021; 27
Y Zheng (2991_CR11) 2021
J Wang (2991_CR39) 2024
E Azoulay (2991_CR1) 2017; 43
K Messacar (2991_CR4) 2017; 55
A Torres (2991_CR7) 2019; 45
K Mongkolrattanothai (2991_CR21) 2017
DE Wood (2991_CR20) 2019
R Schlaberg (2991_CR6) 2017; 141
Y Dong (2991_CR15) 2023; 16
G Suleyman (2991_CR28) 2021; 35
C Langelier (2991_CR13) 2018
PH Serpa (2991_CR14) 2022
R Lu (2991_CR8) 2020; 395
F Venet (2991_CR29) 2022; 50
D Han (2991_CR31) 2019; 45
N Khanna (2991_CR37) 2008; 46
PMK Larkin (2991_CR30) 2020; 6
Y-Y Qian (2991_CR10) 2021
L Kreitmann (2991_CR17) 2024; 50
AP Limaye (2991_CR38) 2017; 318
CA Hage (2991_CR16) 2019; 200
S Kakiuchi (2991_CR36) 2018; 71
J Chen (2991_CR41) 2023; 27
AM Bolger (2991_CR18) 2014; 30
B Langmead (2991_CR19) 2012; 9
PJ Simner (2991_CR22) 2018; 66
K Bittinger (2991_CR24) 2014; 15
Y Chen (2991_CR40) 2021
Y Zhan (2991_CR33) 2014; 14
A-S Moreau (2991_CR26) 2018; 51
Y Shi (2991_CR32) 2023
C Langelier (2991_CR23) 2018; 197
FG Zampieri (2991_CR25) 2021; 47
E Azoulay (2991_CR2) 2020; 46
Y-C Zhao (2991_CR42) 2022; 12
R Kumar (2991_CR27) 2019; 33
Y Zhan (2991_CR34) 2021; 12
References_xml – volume: 27
  start-page: 685
  year: 2023
  ident: 2991_CR41
  publication-title: Mol Diagn Ther
  doi: 10.1007/s40291-023-00669-8
– year: 2024
  ident: 2991_CR39
  publication-title: Front Cell Infect Microbiol
  doi: 10.3389/fcimb.2023.1291980
– volume: 12
  start-page: 877205
  year: 2022
  ident: 2991_CR42
  publication-title: Front Cell Infect Microbiol
  doi: 10.3389/fcimb.2022.877205
– volume: 66
  start-page: 778
  year: 2018
  ident: 2991_CR22
  publication-title: Clin Infect Dis
  doi: 10.1093/cid/cix881
– volume: 30
  start-page: 2114
  year: 2014
  ident: 2991_CR18
  publication-title: Bioinformatics
  doi: 10.1093/bioinformatics/btu170
– volume: 6
  start-page: 106
  year: 2020
  ident: 2991_CR30
  publication-title: JoF
  doi: 10.3390/jof6030106
– volume: 45
  start-page: 668
  year: 2019
  ident: 2991_CR31
  publication-title: Crit Rev Microbiol
  doi: 10.1080/1040841x.2019.1681933
– volume: 51
  start-page: 1701656
  year: 2018
  ident: 2991_CR26
  publication-title: Eur Respir J
  doi: 10.1183/13993003.01656-2017
– volume: 33
  start-page: 1143
  year: 2019
  ident: 2991_CR27
  publication-title: Infect Dis Clin North Am
  doi: 10.1016/j.idc.2019.05.008
– volume: 141
  start-page: 776
  year: 2017
  ident: 2991_CR6
  publication-title: Arch Pathol Lab Med
  doi: 10.5858/arpa.2016-0539-ra
– volume: 46
  start-page: 298
  year: 2020
  ident: 2991_CR2
  publication-title: Intensive Care Med
  doi: 10.1007/s00134-019-05906-5
– year: 2022
  ident: 2991_CR14
  publication-title: Genome Med
  doi: 10.1186/s13073-022-01072-4
– volume: 197
  start-page: 524
  year: 2018
  ident: 2991_CR23
  publication-title: Am J Respir Crit Care Med
  doi: 10.1164/rccm.201706-1097le
– volume: 68
  start-page: 59
  year: 2021
  ident: 2991_CR5
  publication-title: Clin Chem
  doi: 10.1093/clinchem/hvab143
– year: 2019
  ident: 2991_CR12
  publication-title: Front Cell Infect Microbiol
  doi: 10.3389/fcimb.2019.00351
– volume: 55
  start-page: 715
  year: 2017
  ident: 2991_CR4
  publication-title: J Clin Microbiol
  doi: 10.1128/jcm.02264-16
– year: 2017
  ident: 2991_CR21
  publication-title: JPIDSJ
  doi: 10.1093/jpids/piw066
– volume: 47
  start-page: 170
  year: 2021
  ident: 2991_CR25
  publication-title: Intensive Care Med
  doi: 10.1007/s00134-020-06184-2
– volume: 45
  start-page: 159
  year: 2019
  ident: 2991_CR7
  publication-title: Intensive Care Med
  doi: 10.1007/s00134-019-05519-y
– year: 2023
  ident: 2991_CR32
  publication-title: Front Cell Infect Microbiol
  doi: 10.3389/fcimb.2023.1209724
– volume: 14
  start-page: 144
  year: 2014
  ident: 2991_CR33
  publication-title: BMC Pulm Med
  doi: 10.1186/1471-2466-14-144
– volume: 46
  start-page: 402
  year: 2008
  ident: 2991_CR37
  publication-title: Clin Infect Dis
  doi: 10.1086/525263
– volume: 50
  start-page: 332
  year: 2024
  ident: 2991_CR17
  publication-title: Intensive Care Med
  doi: 10.1007/s00134-023-07295-2
– volume: 9
  start-page: 357
  year: 2012
  ident: 2991_CR19
  publication-title: Nat Methods
  doi: 10.1038/nmeth.1923
– volume: 16
  start-page: 677
  year: 2023
  ident: 2991_CR15
  publication-title: IDR
  doi: 10.2147/idr.s387134
– volume: 200
  start-page: 535
  year: 2019
  ident: 2991_CR16
  publication-title: Am J Respir Crit Care Med
  doi: 10.1164/rccm.201906-1185ST
– year: 2021
  ident: 2991_CR40
  publication-title: Front Cell Infect Microbiol
  doi: 10.3389/fcimb.2021.541092
– volume: 43
  start-page: 1366
  year: 2017
  ident: 2991_CR1
  publication-title: Intensive Care Med
  doi: 10.1007/s00134-017-4884-z
– volume: 27
  start-page: 115
  year: 2021
  ident: 2991_CR9
  publication-title: Nat Med
  doi: 10.1038/s41591-020-1105-z
– year: 2021
  ident: 2991_CR11
  publication-title: Front Cell Infect Microbiol
  doi: 10.3389/fcimb.2021.694756
– volume: 12
  start-page: 751073
  year: 2021
  ident: 2991_CR34
  publication-title: Front Microbiol
  doi: 10.3389/fmicb.2021.751073
– volume: 15
  start-page: 487
  issue: 10
  year: 2014
  ident: 2991_CR24
  publication-title: Genome Biol
  doi: 10.1186/s13059-014-0487-y
– volume: 35
  start-page: 1027
  year: 2021
  ident: 2991_CR28
  publication-title: Infect Dis Clin North Am
  doi: 10.1016/j.idc.2021.08.002
– volume: 199
  start-page: 518
  year: 2019
  ident: 2991_CR35
  publication-title: Am J Respir Crit Care Med
  doi: 10.1164/rccm.201804-0681oc
– volume: 7
  start-page: 173
  year: 2019
  ident: 2991_CR3
  publication-title: Lancet Respir Med
  doi: 10.1016/s2213-2600(18)30345-x
– year: 2018
  ident: 2991_CR13
  publication-title: Proc Natl Acad Sci USA
  doi: 10.1073/pnas.1809700115
– volume: 395
  start-page: 565
  year: 2020
  ident: 2991_CR8
  publication-title: The Lancet
  doi: 10.1016/s0140-6736(20)30251-8
– year: 2021
  ident: 2991_CR10
  publication-title: Front Cell Infect Microbiol
  doi: 10.3389/fcimb.2020.567615
– volume: 318
  start-page: 731
  year: 2017
  ident: 2991_CR38
  publication-title: JAMA
  doi: 10.1001/jama.2017.10569
– volume: 71
  start-page: 109
  year: 2018
  ident: 2991_CR36
  publication-title: Jpn J Infect Dis
  doi: 10.7883/yoken.jjid.2017.424
– volume: 50
  start-page: 565
  issue: 4
  year: 2022
  ident: 2991_CR29
  publication-title: Crit Care Med
  doi: 10.1097/CCM.0000000000005270
– year: 2019
  ident: 2991_CR20
  publication-title: Genome Biol
  doi: 10.1186/s13059-019-1891-0
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Snippet Early targeted antibiotic therapy is crucial for improving the prognosis of immunocompromised patients with severe respiratory infections (SRIs) in the...
Background Early targeted antibiotic therapy is crucial for improving the prognosis of immunocompromised patients with severe respiratory infections (SRIs) in...
Abstract Background Early targeted antibiotic therapy is crucial for improving the prognosis of immunocompromised patients with severe respiratory infections...
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SubjectTerms Adult
Aged
Analysis
Anti-Bacterial Agents - therapeutic use
Antibiotics
Bronchoalveolar lavage fluid
Bronchoalveolar Lavage Fluid - microbiology
Care and treatment
Comparative analysis
Development and progression
DNA sequencing
Dosage and administration
Etiology
Female
Health aspects
High-Throughput Nucleotide Sequencing - methods
Hospital patients
Humans
Immunocompromised Host
Infection
Intensive Care Units
Lung diseases
Male
Medical research
Medicine, Experimental
Metagenomic next-generation sequencing
Metagenomics - methods
Microbiology
Middle Aged
Mortality
Nucleotide sequencing
Prognosis
Respiratory Tract Infections - diagnosis
Respiratory Tract Infections - drug therapy
Respiratory Tract Infections - immunology
Respiratory Tract Infections - microbiology
Respiratory Tract Infections - mortality
Retrospective Studies
Severe respiratory infections
Severity of Illness Index
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Title The clinical application of metagenomic next-generation sequencing in immunocompromised patients with severe respiratory infections in the ICU
URI https://www.ncbi.nlm.nih.gov/pubmed/39369191
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