World Journal of Emergency Medicine ›› 2020, Vol. 11 ›› Issue (4): 206-215.doi: 10.5847/wjem.j.1920-8642.2020.04.002
Special Issue: Sepsis
• Original Article • Previous Articles Next Articles
Hai-jiang Zhou1, Tian-fei Lan2, Shu-bin Guo1()
Received:
2019-09-20
Accepted:
2020-03-26
Online:
2020-10-01
Published:
2020-10-01
Contact:
Shu-bin Guo
E-mail:gsbchaoyang@sina.cn
Hai-jiang Zhou, Tian-fei Lan, Shu-bin Guo. Outcome prediction value of National Early Warning Score in septic patients with community-acquired pneumonia in emergency department: A single-center retrospective cohort study[J]. World Journal of Emergency Medicine, 2020, 11(4): 206-215.
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URL: http://wjem.com.cn//EN/10.5847/wjem.j.1920-8642.2020.04.002
Table 1
Baseline characteristics of enrolled patients with community-acquired pneumonia in emergency departments
Parameters | All cohort | Death | Survival | P | ICU admission | Non-ICU admission | P | MV | Non-MV | P |
---|---|---|---|---|---|---|---|---|---|---|
n (%) | 340 | 90 (26.5) | 250 (73.5) | 62 (18.2) | 278 (81.8) | 84 (24.7) | 256 (75.3) | |||
Age (years) | 76 (61-84) | 78 (67-85) | 75 (61-83) | 0.159 | 81 (71-88) | 74 (61-83) | 0.004 | 77 (66-84) | 76 (61-84) | 0.637 |
Male, n (%) | 214 (62.9) | 57 (63.3) | 157 (62.8) | 0.928 | 41 (66.1) | 173 (62.2) | 0.565 | 55 (65.5) | 159 (62.1) | 0.579 |
Comorbidities, n (%) | ||||||||||
COPD | 40 (11.9) | 12 (13.3) | 28 (11.2) | 0.590 | 16 (25.8) | 24 (8.6) | <0.001 | 14 (15.7) | 26 (10.5) | 0.194 |
CDVD | 49 (14.4) | 18 (20.0) | 31 (12.4) | 0.078 | 14 (22.6) | 35 (12.6) | 0.034 | 14 (15.7) | 34 (13.8) | 0.650 |
CBVD | 88 (26.2) | 28 (31.1) | 60 (24.0) | 0.187 | 18 (29.0) | 70 (25.2) | 0.531 | 20 (22.5) | 68 (27.5) | 0.352 |
Diabetes | 78 (22.9) | 31 (34.4) | 47 (18.8) | 0.002 | 24 (38.7) | 54 (19.4) | 0.001 | 15 (16.9) | 62 (25.1) | 0.112 |
CRD | 30 (8.9) | 9 (10.0) | 21 (8.4) | 0.646 | 8 (12.9) | 22 (7.9) | 0.210 | 9 (10.1) | 21 (8.5) | 0.648 |
HBD | 26 (7.6) | 5 (5.6) | 21 (8.4) | 0.384 | 6 (9.7) | 20 (7.2) | 0.596 | 6 (6.7) | 18 (7.3) | 0.864 |
Healthy | 28 (8.3) | 6 (6.7) | 22 (8.81) | 0.528 | 8 (12.9) | 20 (7.2) | 0.139 | 7 (7.9) | 21 (8.5) | 0.852 |
Laboratory results | ||||||||||
WBC (×109/L) | 10.0 (6.8-14.1) | 11.0 (6.7-16.0) | 9.9 (6.8-13.9) | 0.433 | 11.7 (7.4-16.2) | 9.8 (6.6-13.9) | 0.051 | 10.4 (6.7-15.8) | 9.7 (6.8-13.9) | 0.244 |
HGB (g/L) | 126 (115-138) | 123 (111-135) | 127 (117-138) | 0.166 | 124±22 | 127 (116-138 ) | 0.463 | 126 (115-137) | 126 (116-137) | 0.781 |
HCT (%) | 36.9 (31.8-40.8) | 34.8±9.1 | 37.3 (32.8-40.9) | 0.054 | 35.7±9.3 | 37.3 (32.5-40.7) | 0.474 | 35.4±9.2 | 37.2 (32.7-40.7) | 0.356 |
PLT (×109/L) | 184 (131-251) | 163 (123-249) | 191 (135-251) | 0.291 | 155 (123-230) | 191 (136-254) | 0.106 | 155 (117-241) | 192 (141-251) | 0.109 |
ALB (g/L) | 36.2 (32.1-39.1) | 34.0±5.9 | 36.8 (33.0-39.3) | 0.001 | 34.2±6.0 | 36.5 (32.5-39.1) | 0.032 | 34.0±6.0 | 36.7 (32.8-39.3) | 0.002 |
Creatinine (μmol/L) | 80.5 (61.1-113.3) | 92.0 (63.3-140.0) | 76.0 (60.4-106.8) | 0.015 | 94.3 (74.2-153.6) | 75.9 (60.2-106.0) | <0.001 | 92.5 (71.2-149.2) | 75.5 (59.9-104.0) | <0.001 |
BUN (mmol/L) | 7.4 (5.3-11.0) | 8.7 (6.0-13.5) | 6.8 (5.1-10.4) | 0.009 | 10.1 (6.7-16.2) | 6.8 (5.1-10.4) | <0.001 | 9.5 (6.5-15.0) | 6.8 (5.0-10.3) | <0.001 |
AST (U/L) | 30 (20-54) | 33 (23-69) | 30 (20-53) | 0.156 | 35 (23-65) | 30 (20-53) | 0.223 | 36 (23-81) | 29 (20-53) | 0.097 |
ALT (U/L) | 20 (13-37) | 18 (12-36) | 21 (14-37) | 0.285 | 16 (11-32) | 21 (14-37) | 0.217 | 17 (12-45) | 21 (14-36) | 0.694 |
TBIL (μmol/L) | 14.8 (9.7-23.0) | 15.6 (10.3-23.5) | 14.4 (9.5-22.8) | 0.303 | 15.4 (9.5-23.9) | 14.8 (9.8-22.9) | 0.739 | 16.1 (10.6-25.0) | 14 (9.5-22.3) | 0.164 |
DBIL (μmol/L) | 6.4 (4.0-10.5) | 6.9 (4.4-11.4) | 6.1 (3.9-10.0) | 0.077 | 6.1 (4.3-11.6) | 6.4 (4.0-10.4) | 0.448 | 7.0 (4.4-12.3) | 6.1 (3.9-9.7) | 0.037 |
K+ (mmol/L) | 3.8 (3.5-4.2) | 3.9 (3.5-4.4) | 3.8 (3.5-4.2) | 0.248 | 4.0 (3.6-4.4) | 3.8 (3.5-4.2) | 0.049 | 4.0 (3.6-4.5) | 3.8 (3.5-4.1) | 0.006 |
PaO2/FiO2 | 304 (263-356) | 284 (245-328) | 315 (274-364) | <0.001 | 285 (241-329) | 311 (268-362) | 0.005 | 285 (244-326) | 313 (272-363) | <0.001 |
Vital signs | ||||||||||
SBP (mmHg) | 132 (119-139) | 121 (96-135) | 134 (125-143) | <0.001 | 122 (96-135) | 132 (122-142) | <0.001 | 122 (100-135) | 134 (125-143) | <0.001 |
DBP (mmHg) | 68 (65-76) | 63 (55-70) | 70 (66-78) | <0.001 | 65±12 | 69 (65-76) | <0.001 | 65 (55-71) | 70 (66-78) | <0.001 |
HR (times/minute) | 86 (78-95) | 87 (79-106) | 86 (78-94) | 0.008 | 86 (79-107) | 86 (78-94) | 0.018 | 86 (79-104) | 86 (78-94) | 0.033 |
Severity scores | ||||||||||
CURB65 | 2 (2-3) | 3 (3-4) | 2 (1-3) | <0.001 | 4 (3-4) | 2 (2-3) | <0.001 | 3 (3-4) | 2 (1-3) | <0.001 |
PSI | 130±40 | 157±35 | 119 (90-143) | <0.001 | 174 (150-192) | 121±36 | <0.001 | 161±37 | 120±36 | <0.001 |
SOFA | 3 (2-5) | 5.5 (4-8) | 3 (2-4) | <0.001 | 7 (6-9) | 3 (2-4) | <0.001 | 6 (4-9) | 3 (2-4) | <0.001 |
qSOFA | 2 (1-2) | 2 (2-3) | 1 (1-2) | <0.001 | 3 (2-3) | 1 (1-2) | <0.001 | 3 (2-3) | 1 (1-2) | <0.001 |
MEDS | 11 (8-14) | 14.5 (13-16.3) | 10 (8-11) | <0.001 | 16 (13-17) | 10 (8-11) | <0.001 | 14 (12-16) | 10 (8-11) | <0.001 |
NEWS | 6 (5-10) | 11 (9-13) | 6 (4-8) | <0.001 | 12 (9-14) | 6 (4-8) | <0.001 | 11 (9-13) | 6 (4-8) | <0.001 |
Lactate (mmol/L) | 1.4 (1.1-2.1) | 1.8 (1.3-3.2) | 1.3 (1.0-1.8) | <0.001 | 2.5 (1.6-4.2) | 1.3 (1.1-1.8) | <0.001 | 2.0 (1.3-4.2) | 1.4 (1.1-1.8) | <0.001 |
Table 2
Comparisons of severity scores and different outcomes in patients with CAP using qSOFA and NEWS
Parameters | qSOFA ≥2 (n=197) | qSOFA <2 (n=143) | P | NEWS ≥9 (n=112) | NEWS <9 (n=228) | P |
---|---|---|---|---|---|---|
Severity scores | ||||||
CURB65 | 3 (2-4) | 2 (1-2) | <0.001 | 3 (3-4) | 2 (1-3) | <0.001 |
PSI | 148±36 | 105±32 | <0.001 | 159±35 | 116 (88-137) | <0.001 |
SOFA | 5 (3-6) | 2 (2-3) | <0.001 | 6 (4-8) | 3 (2-4) | <0.001 |
qSOFA | 2 (2-3) | 1 (1-1) | <0.001 | 2 (2-3) | 1 (1-2) | <0.001 |
MEDS | 13 (11-16) | 8 (5-11) | <0.001 | 14 (11-16) | 8 (8-11) | <0.001 |
NEWS | 9 (7-12) | 5 (4-6) | <0.001 | 11 (10-13) | 5 (4-6) | <0.001 |
Lactate | 1.6 (1.2-2.8) | 1.2 (1.0-1.6) | <0.001 | 1.8 (1.3-2.9) | 1.3 (1.0-1.8) | <0.001 |
Primary outcome, n (%) | ||||||
The 28-day mortality | 81 (41.1) | 9 (6.3) | <0.001 | 70 (62.5) | 20 (8.8) | <0.001 |
Secondary outcome, n (%) | ||||||
ICU admission | 59 (29.9) | 3 (2.1) | <0.001 | 54 (48.2) | 8 (3.5) | <0.001 |
Mechanical ventilation | 78 (39.6) | 6 (4.2) | <0.001 | 68 (60.7) | 16 (7.0) | <0.001 |
1 |
Mandell LA, Wunderink RG, Anzueto A, Bartlett JG, Campbell GD, Dean NC, et al. Infectious Diseases Society of America/American Thoracic Society Consensus Guidelines on the Management of Community-Acquired Pneumonia in Adults. Clin Infect Dis. 2007;44 Suppl 2(Suppl 2): S27-72.
doi: 10.1086/511159 |
2 |
Quan TP, Fawcett NJ, Wrightson JM, Finney J, Wyllie D, Jeffery K, et al. Increasing burden of community-acquired pneumonia leading to hospitalisation, 1998-2014. Thorax. 2016; 71(6):535-42.
doi: 10.1136/thoraxjnl-2015-207688 pmid: 26888780 |
3 | Chalmers J, Campling J, Ellsbury G, Hawkey PM, Madhava H, Slack M. Community-acquired pneumonia in the United Kingdom: a call to action. Pneumonia (Nathan). 2017; 9:15. |
4 |
Cao B, Huang Y, She DY, Cheng QJ, Fan H, Tian XL, et al. Diagnosis and Treatment of Community-Acquired Pneumonia in Adults: 2016 Clinical Practice Guidelines by the Chinese Thoracic Society, Chinese Medical Association. Clin Respir J. 2018; 12(4):1320-60.
doi: 10.1111/crj.12674 pmid: 28756639 |
5 | Lim WS, Baudouin SV, George RC, Hill AT, Jamieson C, Le Jeune I, et al. BTS Guidelines for the Management of Community- acquired Pneumonia in Adults: Update 2009. Thorax. 2009;64 Suppl 3:iii1-55. |
6 |
Fine MJ, Auble TE, Yealy DM, Hanusa BH, Weissfeld LA, Singer DE, et al. A prediction rule to identify low-risk patients with community-acquired pneumonia. N Engl J Med. 1997; 336(4):243-50.
doi: 10.1056/NEJM199701233360402 pmid: 8995086 |
7 |
Singer M, Deutschman CS, Seymour CW, Shankar-Hari M, Annane D, Bauer M, et al. The Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3). JAMA. 2016; 315(8):801-10.
doi: 10.1001/jama.2016.0287 pmid: 26903338 |
8 |
Ranzani OT, Prina E, Menéndez R, Ceccato A, Cilloniz C, Méndez R, et al. New sepsis definition (Sepsis-3) and community-acquired pneumonia mortality. A validation and clinical decision-making study. Am J Respir Crit Care Med. 2017; 196(10):1287-97.
doi: 10.1164/rccm.201611-2262OC pmid: 28613918 |
9 |
Abdullah SMOB, Grand J, Sijapati A, Puri PR, Nielsen FE. qSOFA is a useful prognostic factor for 30-day mortality in infected patients fulfilling the SIRS criteria for sepsis. Am J Emerg Med. 2020; 38(3):512-6.
doi: 10.1016/j.ajem.2019.05.037 pmid: 31171438 |
10 |
Shapiro NI, Wolfe RE, Moore RB, Smith E, Burdick E, Bates DW. Mortality in Emergency Department Sepsis (MEDS) score: a prospective derived and validated clinical prediction rule. Crit Care Med. 2003; 31(3):670-5.
doi: 10.1097/01.CCM.0000054867.01688.D1 pmid: 12626967 |
11 |
Sbiti-Rohr D, Kutz A, Christ-Crain M, Thomann R, Zimmerli W, Hoess C, et al. The National Early Warning Score (NEWS) for outcome prediction in emergency department patients with community-acquired pneumonia: results from a 6-year prospective cohort study. BMJ Open. 2016; 6(9):e011021.
doi: 10.1136/bmjopen-2015-011021 pmid: 27683509 |
12 |
Brabrand M, Henriksen DP. CURB-65 score is equal to NEWS for identifying mortality risk of pneumonia patients: an observational study. Lung. 2018; 196(3):359-61.
doi: 10.1007/s00408-018-0105-y pmid: 29541854 |
13 |
Abbott TE, Vaid N, Ip D, Cron N, Wells M, Torrance HD, et al. A single centre observational cohort study of admission National Early Warning Score (NEWS). Resuscitation. 2015; 92:89-93.
doi: 10.1016/j.resuscitation.2015.04.020 pmid: 25943011 |
14 |
Silcock DJ, Corfield AR, Gowens PA, Rooney KD. Validation of the National Early Warning Score in the prehospital setting. Resuscitation. 2015; 89:31-5.
doi: 10.1016/j.resuscitation.2014.12.029 pmid: 25583148 |
15 |
Grudzinska FS, Aldridge K, Hughes S, Nightingale P, Parekh D, Bangash M, et al. Early identification of severe community-acquired pneumonia: a retrospective observational study. BMJ Open Respir Res. 2019; 6(1):e000438.
doi: 10.1136/bmjresp-2019-000438 pmid: 31258921 |
16 |
Frenzen FS, Kutschan U, Meiswinkel N, Schulte-Hubbert B, Ewig S, Kolditz M. Admission lactate predicts poor prognosis independently of the CRB/CURB-65 scores in community-acquired pneumonia. Clin Microbiol Infect. 2018;24(3): 306.e1-306.e6.
doi: 10.1016/j.cmi.2017.07.007 |
17 |
Lim WS, van der Eerden MM, Laing R, Boersma WG, Karalus N, Town GI, et al. Defining community-acquired pneumonia severity on presentation to hospital: an international derivation and validation study. Thorax. 2003; 58(5):377-82.
doi: 10.1136/thorax.58.5.377 pmid: 12728155 |
18 |
Sharp AL, Jones JP, Wu I, Huynh D, Kocher KE, Shah NR, et al. CURB-65 performance among admitted and discharged emergency department patients with community-acquired pneumonia. Acad Emerg Med. 2016; 23(4):400-5.
doi: 10.1111/acem.12929 pmid: 26825484 |
19 |
Ilg A, Moskowitz A, Konanki V, Patel PV, Chase M, Grossestreuer AV, et al. Performance of the CURB-65 score in predicting critical care interventions in patients admitted with community-acquired pneumonia. Ann Emerg Med. 2019; 74(1):60-8.
doi: 10.1016/j.annemergmed.2018.06.017 pmid: 30078659 |
20 |
Morris A. CURB65, CRB65, pneumonia severity index similarly predict mortality in community-acquired pneumonia. Ann Intern Med. 2011; 154(8):JC4-13.
doi: 10.7326/0003-4819-154-8-201104190-02002 pmid: 21502640 |
21 |
Kim HI, Kim SW, Chang HH, Cha SI, Lee JH, Ki HK, et al. Mortality of community-acquired pneumonia in Korea: assessed with the pneumonia severity index and the CURB-65 score. J Korean Med Sci. 2013; 28(9):1276-82.
doi: 10.3346/jkms.2013.28.9.1276 |
22 |
Zhang ZX, Yong Y, Tan WC, Shen L, Ng HS, Fong KY. Prognostic factors for mortality due to pneumonia among adults from different age groups in Singapore and mortality predictions based on PSI and CURB-65. Singapore Med J. 2018; 59(4):190-8.
doi: 10.11622/smedj.2017079 pmid: 28805234 |
23 |
Jiang J, Yang J, Jin Y, Cao J, Lu Y. Role of qSOFA in predicting mortality of pneumonia: a systematic review and meta-analysis. Medicine (Baltimore). 2018; 97(40):e12634.
doi: 10.1097/MD.0000000000012634 |
24 |
Asai N, Watanabe H, Shiota A, Kato H, Sakanashi D, Hagihara M, et al. Efficacy and accuracy of qSOFA and SOFA scores as prognostic tools for community-acquired and healthcare-associated pneumonia. Int J Infect Dis. 2019; 84:89-96.
doi: 10.1016/j.ijid.2019.04.020 pmid: 31028877 |
25 |
Ahnert P, Creutz P, Horn K, Schwarzenberger F, Kiehntopf M, Hossain H, et al. Sequential Organ Failure Assessment Score is an excellent operationalization of disease severity of adult patients with hospitalized community-acquired pneumonia - results from the prospective observational PROGRESS study. Crit Care. 2019; 23(1):110.
doi: 10.1186/s13054-019-2316-x pmid: 30947753 |
26 |
Song H, Moon HG, Kim SH. Efficacy of quick Sequential Organ Failure Assessment with lactate concentration for predicting mortality in patients with community-acquired pneumonia in the emergency department. Clin Exp Emerg Med. 2019; 6(1):1-8.
doi: 10.15441/ceem.17.262 pmid: 30781940 |
27 |
Shapiro NI, Wolfe RE, Moore RB, Smith E, Burdick E, Bates DW. Mortality in Emergency Department Sepsis (MEDS) score: a prospectively derived and validated clinical prediction rule. Crit Care Med. 2003; 31(3):670-5.
doi: 10.1097/01.CCM.0000054867.01688.D1 pmid: 12626967 |
28 |
Hsieh CC, Yang CY, Lee CH, Chi CH, Lee CC. Validation of MEDS score in predicting short-term mortality of adults with community-onset bacteremia. Am J Emerg Med. 2020; 38(2):282-7.
doi: 10.1016/j.ajem.2019.05.002 pmid: 31301873 |
29 |
Teng F, Wan TT, Guo SB, Liu X, Cai JF, Qi X, et al. Outcome prediction using the Mortality in Emergency Department Sepsis score combined with procalcitonin for influenza patients. Med Clin (Barc). 2019; 153(11):411-7.
doi: 10.1016/j.medcli.2019.03.021 |
30 |
Smith GB, Prytherch DR, Meredith P, Schmidt PE, Featherstone PI. The ability of the National Early Warning Score (NEWS) to discriminate patients at risk of early cardiac arrest, unanticipated intensive care unit admission, and death. Resuscitation. 2013; 84(4):465-70.
doi: 10.1016/j.resuscitation.2012.12.016 |
31 |
Brabrand M, Henriksen DP. CURB-65 score is equal to NEWS for identifying mortality risk of pneumonia patients: an observational study. Lung. 2018; 196(3):359-61.
doi: 10.1007/s00408-018-0105-y pmid: 29541854 |
32 |
Jo S, Jeong T, Lee JB, Jin Y, Yoon J, Park B. Validation of modified early warning score using serum lactate level in community-acquired pneumonia patients. The National Early Warning Score-Lactate score. Am J Emerg Med. 2016; 34(3):536-41.
doi: 10.1016/j.ajem.2015.12.067 pmid: 26803715 |
33 |
Levy MM, Evans LE, Rhodes A. The Surviving Sepsis Campaign Bundle: 2018 update. Crit Care Med. 2018; 46(6):997-1000.
doi: 10.1097/CCM.0000000000003119 pmid: 29767636 |
34 |
Frenzen FS, Kutschan U, Meiswinkel N, Schulte-Hubbert B, Ewig S, Kolditz M. Admission lactate predicts poor prognosis independently of the CRB/CURB-65 scores in community-acquired pneumonia. Clin Microbiol Infect. 2018;24(3):306.e1-306.e6.
doi: 10.1016/j.cmi.2017.07.007 |
35 |
Gwak MH, Jo S, Jeong T, Lee JB, Jin YH, Yoon J, et al. Initial serum lactate level is associated with inpatient mortality in patients with community-acquired pneumonia. Am J Emerg Med. 2015; 33(5):685-90.
doi: 10.1016/j.ajem.2015.03.002 pmid: 25791153 |
36 |
Redfern OC, Smith GB, Prytherch DR, Meredith P, Inada-Kim M, Schmidt PE. A comparison of the quick Sequential (sepsis-related) Organ Failure Assessment Score and the National Early Warning Score in non-ICU patients with/without infection. Crit Care Med. 2018; 46(12):1923-33.
doi: 10.1097/CCM.0000000000003359 pmid: 30130262 |
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