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Longitudinal Assessment of ROX and HACOR Scores to Predict Non-Invasive Ventilation Failure in Patients with SARS-CoV-2 Pneumonia Cover

Longitudinal Assessment of ROX and HACOR Scores to Predict Non-Invasive Ventilation Failure in Patients with SARS-CoV-2 Pneumonia

Open Access
|Apr 2024

Figures & Tables

Fig. 1.

Study flow chart

Table 1.

Comparison of Demographic, Severity of illness, Inflammatory markers between NIV success vs Failure patients

TotalNIV Success (n=179)NIV failure (n=262)p value
Age60 (19–90)54(53–58)62(61–64)<0.001
M:F311:130126:53185:770.960
DM241(54.6%)106(59.2%)135(56%)0.111
HTN268(60.8%)103(57.5%)165(63%)0.251
CAD64 (14.5%)22(12.3%)42(16%)0.274
CKD24(5.4%)7(3.9%)17(6.5%)0.241
COAD22(5%)8(4.5%)14(5.3%)0.629
Symptom-admission duration (days)7 (0–14)3(0–8)4(1–14)0.783
Baseline P/F ratio125(56–280)145(140–156)117(110–121)<0.001
ARDS category<0.001
Mild32 (7.3%)18(56.3%)14(43.8%)
Moderate282 (63.4%)136(48.2%)146(51.8%)
Severe127(28.8%)25(19.7%)80.3%
Remedesivir286 (64.9%)117(65.4%)169(64.5%)0.853
TCZ23 (5.2%)11(6.1%)12(4.6%)0.468
Vasopressors172(39%)2(1.1%)170(64.9%)<0.001
Steroid<0.001
Early High283 (64.2%)126(70.4%)157(59.9%)
Early low113 (25.6%)50(27.91%)63(14.3%)
Indeterminate45 (10.2%)3 (1.7%)42(9.5%)
BSI
NG351(79.6%)164(91.6%)187(71.4%)<0.001
Gram neg56(12.7%)9(5%)47(17.9%)
Positive14 (3.2%)3(1.7%)11(4.2%)
Fungal20(4.5%)3(1.7%)17(6.5%)
Shock134 (30.4%)1(0.6%)133(50.8%)<0.001
AKI109(24.7%08(4.5%)101(38.5%)<0.001
SOFA4(2–14)3(3–4)6(6–7)0.0001
Baseline CRP101(1.98–870)75(68–98.70)116.20(98–135)0.006
Baseline ALC760(120–3640)860(760–920)720(650–780)<0.001
ICU LOS9(1–90)7(7–8)11(10–13)<0.001
Hospital LOS14(1–95)14(12–16)14(13–15)0.349
Fig. 2.

Patterns of ROX index and HACOR from day 1 to day 6

Fig. 3.

Receiver operating curve analysis of ROX-index and HACOR score from day 1 to day 6

Table 2.

Ventilatory parameter comparison- HACOR/ROX

TotalSuccess (n=175)Failure (n=262)Univariate analysis OR (CI)
HACOR D15(0–9)4(4–5)6(6–7)1.963(1.696–2.273)
ROX D14.13(1.9–9.27)5.14(4.9–5.3)3.53(3.33–3.68)0.309(0.245–0.389)
HACOR D25(0–10)3(3–4)6(6–7)2.735(2.250–3.325)
ROX D24.1(1.7–12.15)5.62(5.36–5.85)3.32(3.16–3.50)0.194(0.143–0.262)
HACOR D35(0–9)3(3–4)7(7–8)3.064(2.435–3.857)
ROX D34.5(1.68–13.22)6.06(5.85–6.27)3.3(3.13–3.50)0.186(0.131–0.263)
HACOR D45(0–10)3(3–4)7(7–8)3.119(2.416–4.027)
ROX D42.7(2–14.1)6.08(5.83–6.50)3.29(3.10–3.57)0.182(0.125–0.266)
HACOR D54.0(0–10)2(2–3)7(7–8)3.745(2.647–5.300)
ROX D55.2(1.95–10.47)6.3(6.15–6.6)2.95(2.8–3.20)0.182(0.119–0.279)
HACOR D64 (0–10)2.0(2–3)7.5(7–8)3.536(2.442–5.119)
ROX D65.4(1.5–12.65)6.84(6.35–7.14)2.89(2.66–3.20)0.159(0.093–0.272)
No of days with HACOR>52(0–18)1(1–2)3(3–4)1.87(1.58–2.09)
Table 3.

Multivariable models for NIV failure. The models were created on 327 participants having complete information about all covariates. The model diagnostics indicate the substantial reduction in error variances after theory driven sequential sections of variables

PredictorsRef. Category. NIV_Success Odds Ratios CI p
ORCIpORCIpORClpORCIpORCIp
R0X>4.470.190.13–26<0.0010,180.12–0.25<0.0010,180.12–0.25<0.0010,170.11–0.25<0.0010,150.09–0.23<0.001
Age>60Yrs5,2.47–11.83<0.0015,238–11.74<0.0015,230–1158<0.0014,1.66–10.180,003
GenderF0,640.29–1.410,271590.26–1.330,2080,650.28–1.470,300370.13–1.0057
Diabetes+0,610.29-1.270,184590.28–1.250,170590.27–1.260,17655023–1.300,175
Illness_ICU_IntervalT2(Int)0,720.29–1.720,4560,76031–1.863550,770.27–2.150,617
Illness_ICU_IntervalT3(High)2,0.87–5.250,1002220.90–5.620,0863,1.16–9.260,027
ALCDI_Tertile2(Int)0,450.17–1.11870,870.29–2580,796
ALCDI_Tertile3(High)0,430.16–1.070,0710,750.26–2.16585
SOFA Score2,1.60–2.71<0.001
Observations327327327327327
R2 Tjur3930,6360,6460,6540,729
AIC224,209,207,206582169,
log-Likelihood−110213−99334−96387−94291−74,

[i] OR: Odds ratio; CI: Confidence interval

Fig. 4.

Age, SOFA, ROX score interaction

Table 4:

Summary of studies depicting NIV failure

Reference, Year (Country)SettingModesNIRS failure definitionHACOR score in FailureROX Score in FailureNIRS FailureMortalityPredictors of Failure
Duan et al. 2021 (China)19ICU (non-COPD)NIVNeed of IMV as rescue therapy7 (at initiation) 5 (at 1–2 hours)14.7 %9.4 %HACOR score, Duration of NIV, Heart rate, pH, GCS, Mean Arterial BP, P/F ratio, PaCO2
Guia et al. 2021 (Italy, Portugal, USA)15ICU (COVID)NIV (CPAP)Need of IMV as rescue therapy and Death527.3 %23 %HACOR score, Age, P/F ratio
Valencia et al. 2021 (Colombia)13Emergency DepartmentHFNC (COVID)Need of IMV as rescue therapy and Death7.14 ±3.65.61 ±4.162.0 %29.3 %HACOR score, GCS, ROX index, Heart Rate, Respiratory Rate, PaCO2, SaO2, pH, PaO2, P/F ratio, Chronic Kidney Disease, Co-Infections
Jog S et al. 2021 (India)20ICU (COVID)NIV/HFNCNeed of IMV as rescue therapy and Death64.1 %56.9 %Age, Medical Comorbidities, Admission SpO2, Non-Respiratory organ dysfunction
Prakash J et al. 2021 (Meta-analysis)16ICU (COVID)HFNC5 (24 hr)ROX score
Prakash J et al. 2021 (Meta-analysis)16ICU (COVID)HFNC5 (24 hr)ROX score
Khan MS et al., 2022 (India)21ICU (COVID)HFNCNeed of NIV or IMV as rescue therapy3.4 ± 0.4 (1 hr)
4.4 ± 0.9 (6 hr)
28.9 %27.1 % (28-day)Age, APACHE ll, SOFA, Lag time to HFNC, Duration of HFNC, ICU LOS, PF ratio, ROX index, D-dimer, IL-6, RBS, Admission SpO2
Santus et al. 2022 (Italy)14HDU (COVID)CPAP (Helmet)Need of IMV as rescue therapy, Transfer to ICU and Death5 (1 hr)6.2 (4.7–7.7) (1hr)
mROX 5.8 (3.8–8.9) (1 hr)
38.4 %12.4 %Age, Ischaemic Heart Disease, COPD, CPAP duration, Hospital LOS, WBC count, D-dimer, CRP, PEEP, FiO2, PF ratio, Respiratory rate, A-a O2 gradient, GCS, ROX index, mROX index, HACOR score PaCO2,
Chacko et al. 2022 (India)18ICU (COVID)NIVNeed of IMV as rescue therapy or Death36.4 %30.1 %Age, Disease Severity, Admission PF ratio, Respiratory Rate, High CK-MB, Need for organ support, Duration of continuous NIV, ICU LOS and hospital LOS
DOI: https://doi.org/10.2478/jccm-2024-0013 | Journal eISSN: 2393-1817 | Journal ISSN: 2393-1809
Language: English
Page range: 147 - 157
Submitted on: Aug 1, 2023
Accepted on: Jan 30, 2024
Published on: Apr 30, 2024
Published by: University of Medicine, Pharmacy, Science and Technology of Targu Mures
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2024 Abhijeet Anand, Sai Teja Kodamanchili, Ankur Joshi, Rajnish Joshi, Jai Prakash Sharma, Goyal Abhishek, Abhijit P Pakhare, Yogesh Niwariya, Rajesh Panda, Sunaina T Karna, Alkesh K Khurana, Saurabh Saigal, published by University of Medicine, Pharmacy, Science and Technology of Targu Mures
This work is licensed under the Creative Commons Attribution 4.0 License.