| Literature DB >> 36186744 |
Deepak Parchwani1, Sagar Dholariya2, Cds Katoch3, Ragini Singh1.
Abstract
BACKGROUND: Growth differentiation factor (GDF)-15 is a member of a transforming growth factor-β cytokine superfamily that regulates metabolism and is released in response to inflammation, hypoxia and tissue injury. It has evolved as one of the most potent cytokines for predicting the severity of infections and inflammatory conditions, such as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. AIM: To investigate the utility of GDF-15 in predicting the severity of SARS-CoV-2 infection.Entities:
Keywords: Biomarker; Growth differentiation factor 15; Prognosis; Risk-stratification; SARS-CoV-2
Year: 2022 PMID: 36186744 PMCID: PMC9516548 DOI: 10.5662/wjm.v12.i5.438
Source DB: PubMed Journal: World J Methodol ISSN: 2222-0682
Figure 1Flow diagram for selection of research studies from various databases according to PRISMA 2020 guidelines. SARS-CoV-2: Severe acute respiratory syndrome coronavirus 2.
Studies included in the systematic review, with duration, type, region/place, and main findings
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| Myhre | March 18, 2020 to May 4, 2020 | Prospective, observational study | Norway | GDF-15 has a better prognostic significance than recognized inflammatory biomarkers like CRP, ferritin, procalcitonin, and IL-6 |
| Notz | March 14 to May 28, 2020 | A single-center retrospective study | Germany | There was no evident imbalance of pro-and anti-inflammatory pathways, with higher GDF-15 levels in patients with SARS-CoV-2 infection during ICU stay, implying elevated tissue resilience |
| Luis García de Guadiana Romualdo | March 14 to April 12, 2020 | Case-series | Spain | The GDF level was significantly high in nonsurvivors compared to survivors of SARS-CoV-2 infection, and it may be useful to predict prognosis |
| Teng | January 22, 2020, to May 13, 2020 | Retrospective study | China | GDF-15 could be used as a biomarker to predict the severity of SARS-CoV-2 infection. GDF-15 level increased consistently with increased severity of SARS-CoV-2 infection, and GDF-15 expression returned to normal level similarly in a convalescent group compared to the healthy control participants. Hence, it implies that the GDF-15 precisely monitors the progression of SARS-CoV-2 infection |
| Kanberg | February 21 to November 5, 2020 | Prospective study | Sweden | Patients with severe and moderate SARS-CoV-2 infection exhibited significantly increased GDF-15 levels compared with participants with mild infection and controls throughout the acute phase. Even after 6 mo of infection, GDF-15 concentrations persisted considerably higher in the severe and moderate infections compared to patients with mild infection and controls |
| Ebihara | August 2020 to December 2020 | Prospective multicenter observational study | Japan | GDF-15 may be beneficial to predict delayed recovery or mortality of SARS-CoV-2-infected patients during ICU treatment |
| Alserawan | Not mentioned | Prospective study | Spain | GDF-15 may play a role in categorizing SARS-CoV-2-infected patients based on severityGDF-15 is an excellent biomarker to detect impaired respiratory function compared to CRP and D-dimer |
CRP: C-reactive protein; GDF-15: Growth differentiation factor 15; IL-6: Interleukin 6; ICU: Intensive care unit; SARS-CoV-2: Severe acute respiratory syndrome coronavirus 2.
Review of data extracted for growth differentiation factor 15 in SARS-CoV-2 infection from included studies
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| 123 confirmed cases of SARS-CoV-2 infection (non-ICU survivor = 88, ICU admission/ death = 28) | 13 cases of SARS-CoV-2 infection with ARDS | 66 confirmed cases of SARS-CoV-2 infection (non-survival = 58, survival = 6) | 111 confirmed cases of SARS-CoV-2 infection and 20 healthy controls (asymptomatic = 14, mild = 12, moderate = 34, severe = 18, and convalescent = 33) | 100 confirmed cases of SARS-CoV-2 infection (mild = 24, moderate = 28, severe = 48] and 51 healthy controls | 306 confirmed cases of SARS-CoV-2 infection | 84 confirmed cases of SARS-CoV-2 infection and 20 healthy controls | |
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| Healthy controls | 13.5 (8.0–79.0) | 703.0 (501.0–949.0) | - | 582.0 (370.0-807.0) | |||
| Mild | 136.4 (44.7–321.4) | 748.0 (586.0–1087.0) | - | 2051.0 (1474.0-2925.0) | ||||
| Moderate | 12400.0 | 256.2 (76.1–341.0) | 3450.0 (2337.0–4105.0) | - | ||||
| Severe | - | 524.8 (405.1–831.1) | 3562.0 (2458.0–5880.0) | Increased during ICU stay | ||||
| Critical | 621.0 | - | - | - | ||||
| Non-ICU survivor | 2187.0 (1344.0-3620.0) | - | 2590.0 (1886.0-4811.0) | - | - | - | ||
| ICU admission or death | 4225.0 (3197.0-5972.0) | - | 9448.0 (6462.0-11707.0) | - | - | - | - | |
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| 0.78 (0.70–0.86) | Not mentioned | 0.89 (0.792–0.955) | 0.89 | Not mentioned | For severity: 0.764; For prognosis: 0.740 | 0.729 (0.602-0.857) | |
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| 2252.0 pg/mL, to differentiate non-ICU survivors and ICU admission or death | Not mentioned | 7789.00 pg/mL, to differentiate non-ICU survivors and ICU admission or death | Not mentioned | Not mentioned | Not mentioned | 1675.0 pg/mL, to recognize deprived respiratory function (SpO2/FiO2 ≤ 400) | |
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| ELISA | ELISA | Electro-chemiluminescent | ELISA | Electro-chemiluminescent | ELISA | ELISA | |
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| It was associated with viral load and hypoxemia. Better prognostic significance compared to CRP, ferritin, IL-6, and procalcitonin | It was not correlated with age and BMI | Positively correlated with CRP, ferritin, and D-dimer | GDF-15 indicates the severity and closely monitor the progression of SARS-CoV-2 | Elevated GDF-15 was significantly related to hypoxemia, viral load, and worse clinical consequences | The plasma level of GDF-15 was significantly associated with the time to wean-off mechanical ventilation | Positively correlated with CRP, D-dimer, and neutrophil count and negatively correlated with lymphocyte count |
ARDS: Acute respiratory distress syndrome; BMI: Body mass index; CRP: C-reactive protein; ELISA: Enzyme-linked immunosorbent assays; GDF-15: Growth differentiation factor 15; IL-6: Interleukin 6; ICU: Intensive care unit; SARS-CoV-2: Severe acute respiratory syndrome coronavirus 2.