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. 2023 Feb 11;16:539–562. doi: 10.2147/JIR.S395331

Table 3.

PLR Ratio in Various Studies.63–86

Authors Study Group Control Group PLR Values P value Cut-off AUC Specificity (%) Sensitivity (%) Observations
N N Study Control
Bilge et al 202166 n=75
(Cancers)
n=111
(No cancers)
303.89 242.56 NS - - - -
  • There is no statistically significant differences in the PLR ratio between the control group and the study group.

Waris et al 202190 Mild
n=52
Moderate
n=24
Severe
n=9
Critical
n=16
Mild=131.5
Moderate=180.6
Severe=139.5
Critical=238.3
<0.001 - - - -
  • PLR can be helpful for clinicians to identify potentially severe cases at early stages, initiate effective management in time, and conduct early triage which may reduce the overall mortality of COVID-19 patients.

Zhao et al 202063 Severe
n=74
Mild
n=211
237 229 <0.001 274 0.69 - -
  • PLR reflects the intensity of inflammation and is associated with severity of patients with COVID-19.

Gujar et al 202164 ICU
n=264
ISOLATION
n=577
28.4 9.5 0.001 9.4 0.826 - -
  • PLR can predict severe illness with high accuracy.

López-Escobar et al 202178 Non-survivors
n=321
Survivors
n=1767
2.4 1.9 <0.0001 2.98 - 78 44
  • PLR is higher at admission in patients who died compared with patients who survived, but they do not maintain significance after more complex model of multivariable adjustment.

Velazquez et al 202179 ICU
n=185
Non-ICU
n=2069
2.0 1.9 0.023 2.5 - 66 47
  • PLR shows no significant association with ICU admission in the stratified analysis.

Acar et al 202065 Non-survivors
n=19
Survivors
n=129
427.9 261.5 ≤0.05 289.9 0.742 68.9 57.8
  • PLR is associated with disease mortality and can be used to predict disease progression and mortality.

  • Increased PLR reflects an inflammation and can also indicates a poor prognosis.

  • PLR in COVID-19 can assist in the diagnosis of prediction of mortality.

Ramos-Peñafiel et al 202067 Death
n=54
0648
Alive
n=71
419 338 0.192 - - - -
  • PLR can predicts SARS-CoV-2 infection-associated mortality.

  • PLR may be used in combination as indicators of the inflammatory and immunological status.

Citu et al 202281 Deaths
n=17
Survivors
n=91
345 ± 235 324 ± 219 0.71 - - - -
  • AUC for PLR have no statistically significant discriminatory value.

Moisa et al 202182 Group 1 -patients on IMV upon ICU admission
n=33
Group −2
IMV during ICU-LOS
n=134
Group 3 - non-IMV during ICU-LOS
n=105
Group 1=489
Group 2=566
Group 3=342
<0.0001 - - - -
  • PLR is found to be an independent predictor for IMV need, but with lower hazard ratio value.

Non-survivors
n=142
Survivors
n=130
G: 579
K: 351
<0.0001 - - - -
Fois et al 202086 Non-survivors
n=29
Survivors
n=90
265 214 0.24 240 0.572 58 59
  • There are no statistically significant differences in PLR ratio between the control group and the study group.

  • PLR ratio shows a lower diagnostic efficiency than SII.

Jain et al 202170 Severe
n=29
Non-severe
n=162
204 121 <0.001 115.3 115.3 62 79
  • PLR is significantly higher in severe COVID-19 patients than non-severe patients.

  • The cut off for PLR is 115.3 and can classify the patients into severe and non-severe categories.

Abbreviations: ICU, intensive care unit patients; non-ICU, non-intensive care unit patients; IMV, invasive mechanical ventilation; ICU-LOS, ICU length of stay.