Literature DB >> 35646804

Prevalence and Outcomes of Pancreatic Enzymes Elevation in Patients With COVID-19: A Meta-Analysis and Systematic Review.

You Zhou1,2,3, Yu-Tong Ge2,4, Xiao-Xi Yang1,2, Qian Cai1, Yan-Bing Ding1,2, Liang-Hao Hu3, Guo-Tao Lu1,2.   

Abstract

Background: Although coronavirus disease 2019 (COVID-19) is considered to be a disease that mainly involves the respiratory system, an increasing number of studies have reported that COVID-19 patients had pancreatic enzymes (PE) elevation and even pancreatic injury. The study aims to determine the prevalence of PE elevation, and the relationship between elevated PE and prognosis in COVID-19 patients.
Methods: A comprehensive literature search was conducted according to the PRISMA guideline in PubMed, Embase, Scopus, Web of Science, and Google Scholar for studies reporting PE elevation in patients with COVID-19 from 1st January 2020 to 24th November 2021.
Results: A total of 13 studies (24,353 participants) were included in our review. The pooled prevalence of PE elevation in COVID-19 patients was 24% (18%-31%), the pooled odds ratio (OR) of mortality was 2.5 (1.7-3.6), the pooled OR of ICU admission was 4.4 (2.8-6.8), and the pooled OR of kidney injury, respiratory failure and liver injury were 3.5 (1.6-7.4), 2.0 (0.5-8.7), and 2.3 (1.4-3.9) respectively. In addition, the subgroup analysis revealed that although PE elevated to > 3 × upper normal limit (ULN) was significantly related to the mortality (OR = 4.4, 2.1-9.4), it seemed that mild elevation of PE to 1-3 ULN also had a considerable risk of mortality (OR = 2.3, 1.5-3.5). Conclusions: PE elevation was a common phenomenon in patients with COVID-19, and was associated with poor clinical outcomes. However, due to the limited numbers of included studies, the result of our study still needed to be validated. Systematic Review Registration: https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=295630, identifier: CRD42021295630.
Copyright © 2022 Zhou, Ge, Yang, Cai, Ding, Hu and Lu.

Entities:  

Keywords:  COVID-19; elevation; meta-analysis; outcome; pancreatic enzymes; review

Mesh:

Year:  2022        PMID: 35646804      PMCID: PMC9133915          DOI: 10.3389/fpubh.2022.865855

Source DB:  PubMed          Journal:  Front Public Health        ISSN: 2296-2565


Introduction

Coronavirus disease 2019 (COVID-19) is a novel severe respiratory infectious disease caused by severe respiratory syndrome coronavirus-2 (SARS-CoV-2). Since the first case was officially reported in Wuhan, China in December 2019, COVID-19 has experienced a widespread outbreak and epidemic worldwide, which has caused tremendous impact and pressure on the medical and health systems around the world (1). On March 11, 2020, the World Health Organization announced it as a global pandemic disease. As of November 28, 2021, over 260 million confirmed cases have been reported globally, of which nearly 5.2 million died (2). COVID-19 has now developed into a global health crisis. Although SARS-CoV-2 was believed to mainly invade the respiratory system of patients, with clinical manifestations as fever, cough, shortness of breath, and extensive lung consolidation, it cannot be ignored that some patients simultaneously had digestive symptoms as nausea, vomiting, and diarrhea (3–6). Consistent with SARS-CoV, SARS-CoV-2 invades cells through combining its spike protein with the angiotensin-converting enzyme II (ACE II) receptors (7, 8). Existing studies suggested that, in addition to type II alveolar epithelial cells, ACE II receptors are also highly expressed in esophagus, small intestine, colon and pancreas (9–11), and show a high affinity for SARS-CoV-2. Therefore, the pancreas may also be a potential target of SARS-CoV-2, which can lead to undetectable pancreatic injury (11). Wang et al. (12) first reported pancreatic enzymes (PE) elevation in COVID-19 patients in a study involving infected people in the early stage of the epidemic. Subsequently, an increasing number of studies reported the similar findings. Since the critically ill COVID-19 patients often experience severe systemic inflammatory, shock, microcirculatory disturbance and renal failure, some scholars believed that PE elevation might be associated with pancreatic ischemic injury (13–15), and the elevated PE can serve as a surrogate marker for poor prognosis of COVID-19 patients. However, in different studies, due to the different sample sizes and definition of PE elevation, the prevalence of PE elevation varied greatly, and the clinical significance of it was still controversial (14, 16). In a previous meta-analysis by Goyal et al. (17), hyperlipasemia was found to be associated with the severity of COVID-19. However, in their study, severe COVID-19 was defined as death, intensive care unit (ICU) admission and need for mechanical ventilation, which was not rigorous because the elevated PE may have different impacts on different clinical outcomes. In addition, the included studies in their meta-analysis included letter to editor and correspondence, lacking enough case-control and cohort studies covering large samples and multi-centers. We believed that the result of their study was open to question. Therefore, we performed this meta-analysis and systematic review in order to 1) determine the prevalence of PE elevation in COVID-19 patients, and 2) summarize the impact of PE elevation on the clinical outcomes in patients with COVID-19.

Methods

Protocol Registration

This meta-analysis and systematic review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines (18), and this study was part of the registered protocol on the International Prospective Register of Systematic Reviews (CRD42021295630).

Search Strategy

With the assistance of a professional librarian, we determined the search terms and conducted a literature search in five online databases (PubMed, Embase, Scopus, Web of Science, and Google Scholar) from 1st January 2020 to 24th November 2021 for studies reporting PE elevation in COVID-19 patients. The literature search was limited to English publications. Search terms in PubMed included: [(“COVID-19”[MeSH] OR “COVID-19” OR “COVID 19” OR “COVID-19 Virus Disease*” OR “COVID-19 Virus Infection*”) OR (“SARS-CoV-2"[MeSH]” OR “SARS-CoV-2” OR “SARS-CoV-2 Virus*” OR “2019-nCoV” OR “Severe Acute Respiratory Syndrome Coronavirus 2”) OR (“Coronavirus”[Mesh] OR “Coronavirus” OR “Coronaviruses”)] AND [(“Amylases”[Mesh] OR “Amylases” OR “Amylase” OR “hyperamylasemia”) OR (“Lipase”[MeSH] OR “Lipase” OR “Hyperlipasemia”) OR (“pancreatic enzymes”)] AND (“elevat*”). Two reviewers (YZ and YTG) also screened the references of the key articles to include additional studies left out in the initial search.

Eligibility Criteria

Based on the PICOS (Population, Intervention/Exposure, Comparison, Outcome, and Study design) strategy, the inclusion criteria were as follows: Population: participants included in studies were clearly diagnosed with COVID-19. Exposure: PE elevation. Comparison: normal level of PE. Outcome: COVID-19 clinical outcomes (mortality or hospitalization or complications). Study design: Observational studies. The exclusion criteria were as follows: Non-adult studies. Studies with unavailable full-text. Studies with unclear criteria for PE elevation. Studies not providing specific prevalence or outcomes of PE elevation. Protocols, review articles, abstracts, letters to editor, correspondence, case reports, and pre-prints.

Study Selection

All identified articles were first imported into the Endnote X9 software to remove duplicates manually, then the titles and abstracts of studies were screened by two reviewers (XXY and QC) blindly in accordance with the inclusion and exclusion criteria to exclude irrelevant articles. The articles meeting the eligibility criteria were next screened on full text by the same two reviewers. Any disagreements were resolved by consulting another reviewer (YZ).

Data Extraction

Data were extracted by two reviewers (YZ and XXY) using a designed Excel sheet. Any disagreements were solved by another reviewer (LHH). The following information was recorded: 1) author, 2) year of publication, 3) country, 4) study type, 5) samples size, 6) type of elevated PE, 7) definition for PE elevation, 8) proportion of patients with PE elevation among all patients, 9) proportion of patients with acute pancreatitis (AP) among patients with PE elevation, 10) clinical outcomes of COVID-19 patients with PE elevation.

Quality Assessment

The Quality in Prognostic Studies tool was used to assess the quality of the included studies, which includes six items: study participation, study attrition, prognostic factor measurement, outcome measurement, confounding measurement and account, and analysis (19). Each article was assessed by two reviewers (YZ and QC) independently using a consistent standard. Any disagreements were resolved by consulting another reviewer (GTL).

Statistical Analysis

The statistical analysis was performed using the Stata SE Version 16 software. We conservatively used a random-effects model to analyze the impact of PE elevation on mortality, ICU admission, and complications. A forest plot was used to visualized the data. The heterogeneity of included studies was estimated using the Cochran's Q-test and I2 statistics, and the value of I2 between 0 and 25%, 25–75%, and >75% was considered mild, moderate, and high heterogeneity, respectively (20). Prespecified subgroup analyses based on the definition of PE elevation and data source were performed to explore the heterogeneity of clinical outcomes between studies. Sensitivity analyses were preformed to explore the impact of each study by removing studies one by one. Egger's test and visual inspection of funnel plot were used to examine the publication bias. A P-value < 0.05 was considered statistically significant.

Results

Search Results

The PRISAM flow diagram showed the process of article selection (Figure 1). A total of 1,538 records were extracted from the initial search, and three additional studies were identified through the reference searching. After removing the duplicates (n = 421), we screened 1,120 studies with titles and abstracts, of which 76 studies meeting the eligibility criteria were reviewed with full text. Thirteen studies (12–14, 16, 21–29) were finally included for qualitative and quantitative analysis in this review.
Figure 1

Preferred reporting items for systematic reviews and meta-analyses flow diagram.

Preferred reporting items for systematic reviews and meta-analyses flow diagram.

Study Characteristics

Table 1 summarized the characteristic of the included studies. Thirteen studies were from the USA (n = 5), China (n = 3), Italy (n = 2), Turkey (n = 2), and Germany (n = 1), of which, 12 were retrospective, one (24) was prospective, and five studies (14, 16, 23, 25, 29) were multicenter. The sample size ranged from 38–17225, and the proportion of male participants varied from 44.6–78.9%. Each study had a clear definition of PE elevation, however, it lacked a unified standard and there was an obvious heterogeneity in the definition of upper normal limit (ULN). Ten studies (12–14, 16, 21–23, 26, 27, 29) defined PE elevation as > ULN, and three studies (24, 25, 28) defined PE elevation as > 3 × ULN. The results of quality assessment were shown in Supplementary Table 1.
Table 1

Characteristic of studies reporting pancreatic enzymes elevation in COVID-19 patients.

Study Year Country Study type Male, n (%) Age (mean ±SD) Sample size, n PE Definition of PE elevation
Ahmed et al. (14)2021USARetrospective606 (61.1)64 ± 17992Lipase≥ ULN (Center 1: 78 IU/L, Center 2: 60 IU/L)
Bacaksiz et al. (13)2021TurkeyRetrospective700 (51.8)NP1378Amylase and lipase≥ ULN (Amylase: 105 U/L, lipase: 65 U/L
Benias et al. (29)2021USARetrospective680 (46.2%)NP1471Lipase≥ ULN
Caruso et al. (21)2021ItalyRetrospective692 (63.4)64 (IQR: 52–77)1092Lipase≥ ULN (45 U/L)
Ding et al. (22)2021ChinaRetrospective37 (67.3)63 (Range: 29-79)55Amylase and lipase≥ ULN (Amylase: 135 U/L, lipase: 78 U/L
Li et al. (23)2021ChinaRetrospective737 (48.6)61 (IQR: 49–69)1515Amylase≥ ULN (115 U/L)
Rasch et al. (24)2021GermanyProspective30 (78.9)68.5 (Range: 26–85)38Lipase≥ 3 ULN (60 U/L)
Singh et al. (25)2021USARetrospective8349 (52.7)NP17225Lipase≥ 3 × ULN or 180 U/L
Troncone et al. (26)2021ItalyRetrospective148 (58.3)67 (IQR: 53–81)254Amylase and lipase≥ ULN (Amylase: 125 U/L for patients <70 years old, 160 U/L for patients >70 years old; lipase: 78 U/L)
Akkus et al. (27)2020TurkeyRetrospective73 (57.5)NP127Lipase≥ ULN (60 U/L)
Baltar et al. (16)2020USARetrospective33 (46.5)69.4 ± 15.871Lipase≥ ULN (60 U/L)
Barlass et al. (28)2020USARetrospective37 (44.6)NP83Lipase≥ 3 × ULN (52 U/L)
Wang et al. (12)2020ChinaRetrospective24 (46.2)NP52Amylase and lipase≥ ULN (Amylase: 90 U/L, lipase: 70 U/L)

NP, not reported; PE, pancreatic enzymes, ULN: upper normal limit.

Characteristic of studies reporting pancreatic enzymes elevation in COVID-19 patients. NP, not reported; PE, pancreatic enzymes, ULN: upper normal limit.

Prevalence of PE and AP

Thirteen studies reported the prevalence of PE elevation in COVID-19 patients, covering 2,4353 participants, of which 3,180 participants had elevated PE. The prevalence of PE elevation ranged from 8.2 to 58.2%. The pooled prevalence of PE elevation in COVID-19 patients was 24% (95% CI: 18%−31%), with a high degree of heterogeneity (I2 = 98.9%) (Figure 2).
Figure 2

Effect size analysis for the prevalence of PE elevation in COVID-19 patients.

Effect size analysis for the prevalence of PE elevation in COVID-19 patients. Six studies (13, 14, 21, 22, 25, 26) with samples more than ten patients reported AP diagnosis according to the revised Atlanta classification of acute pancreatitis 2012 (30), covering 1,705 patients with elevated PE > 3 × ULN, of which 182 developed AP. The prevalence of AP ranged from 1.3 to 18.8%. The pooled prevalence of AP in patients with elevated PE > 3 × ULN was 9% (95% CI: 2%-15%), with a high degree of heterogeneity (I2= 93.2%) (Supplementary Figure 1).

Analysis of PE Elevation and Mortality

Ten studies (13, 14, 16, 21–23, 25–27, 29) reported the mortality associated with elevated PE. A total of 2,4207 participants including 3,142 participants in the elevated PE group, of which 760 participants died, and 2,1065 participants in the normal PE group, of which 2,033 participants died were included in the analysis. The mortality ranged from 10.0 to 79.3%. PE elevation was significantly related to the mortality of COVID-19 patients (OR = 2.5, 95% CI: 1.7–3.6), with substantial heterogeneity (I2 = 89.5%) (Figure 3).
Figure 3

Effect size analysis for mortality in COVID-19 patients with PE elevation.

Effect size analysis for mortality in COVID-19 patients with PE elevation. Since the heterogeneity was significant, we performed a sensitivity analysis to explore the impact of each study. The result showed that two studies (13, 23) affected the pooled OR (odds ratio) of mortality (Supplementary Figure 2). After removing any one of the two studies, the I2 did not decrease significantly (78.6–87.7%). After removing both studies simultaneously, the heterogeneity became acceptable (I2 = 13.3%), and the pooled OR was 1.7 (95% CI: 1.5–1.9) (Supplementary Figure 3). Subsequently, we performed a subgroup analysis based on the definition of PE elevation and data sources. Ten studies were divided into the 1–3 ULN group (13, 14, 21, 23, 26, 29) and the >3 × ULN group (13, 14, 21, 23, 25, 26, 29) (six studies (13, 14, 21, 23, 26, 29) reported the two conditions). The 1–3 ULN group involved 1,330 participants, of which 424 died, and the >3 × ULN group involved 1,754 participants, of which 308 died. The result of subgroup analysis showed that PE elevated to both 1–3 ULN (OR= 2.3, 95% CI: 1.5–3.5) and >3 × ULN (OR = 4.4, 95% CI: 2.1–9.4) were significantly related to mortality, and the pooled OR of the 1–3 ULN group was similar to that before grouping (OR = 2.5, 95% CI: 1.7–3.6) (Supplementary Figure 4). Considering two studies with obvious heterogeneity, we also performed subgroup analysis after removing these two studies (Table 2) (Supplementary Figure 4). Consistent with the previous result, after removing the heterogeneous studies, the pooled OR of the 1–3ULN group (OR = 1.7, 95% CI: 1.3–2.1) was basically the same as that of all eight studies (OR = 1.7, 95% CI: 1.5–1.9).
Table 2

Subgroup analysis on the association between of pancreatic enzymes elevation and mortality in COVID-19 patients.

Subgroups Number of studies Sample size (n) OR 95% CI I2 (%) P-value
Definition of PE elevation
1–3 ULN6 (13, 14, 21, 23, 26, 29)13302.31.5–3.587.5<0.001
>3 ULN7 (13, 14, 21, 23, 25, 26, 29)17544.42.1–9.492.9<0.001
Reference1031422.51.7–3.689.5<0.001
1–3 ULN*4 (14, 21, 26, 29)8921.71.3–2.141.10.165
>3 ULN*5 (14, 21, 25, 26, 29)16801.91.3–2.661.10.036
Reference*826301.71.5–1.913.30.326
Data source
Single-center*4 (21, 22, 26, 27)4702.41.4–4.254.40.087
Multi-center*4 (14, 16, 25, 29)35541.61.4–1.80.01.000
Reference*826301.71.5–1.913.30.326

After removing the two heterogeneous studies (13, 23).

CI, confidence interval; OR, odds ratio; PE, pancreatic enzyme; ULN, upper normal limit.

Subgroup analysis on the association between of pancreatic enzymes elevation and mortality in COVID-19 patients. After removing the two heterogeneous studies (13, 23). CI, confidence interval; OR, odds ratio; PE, pancreatic enzyme; ULN, upper normal limit. Based on the different sources of data and removing the heterogeneous studies, we categorized eight studies into the single-center group (21, 22, 26, 27) and the multi-center group (14, 16, 25, 29). Compared with the pooled OR of all eigth studies (OR = 1.7, 95% CI: 1.5–1.9) and four multi-center studies (OR= 1.6, 95% CI: 1.4–1.8), it was worth noting that the pooled OR of single-center group seemed to be higher (OR = 2.4, 95% CI: 1.4–4.2) (Table 2) (Supplementary Figure 4).

Analysis of PE Elevation and Hospitalization

Six studies (14, 16, 21, 26–28) reported PE elevation was associated with ICU admission in COVID-19 patients. A total of 1,783 participants including 520 participants in the elevated PE group, of which 147 were admitted to the ICU, and 1,263 participants in the normal PE group, of which 138 were admitted to the ICU were included in the analysis. As is shown in Figure 4, PE elevation was significantly associated with ICU admission in COVID-19 patients (OR = 4.4, 95% CI: 2.8–6.8), with acceptable heterogeneity (I2 = 36.8%).
Figure 4

Effect size analysis for ICU admission in COVID-19 patients with PE elevation.

Effect size analysis for ICU admission in COVID-19 patients with PE elevation. Three studies reported that PE elevation was related to the length of stay (LOS). Ahmed et al. (14) reported that the median LOS for patients with elevated PE was 15 days (IQR: 8.3–30 days), and that for patients with normal PE was 11 days (IQR: 5.5–20.5 days). Akkus et al. (27) found that the median LOS for patients with elevated PE was 11.5 days (range: 3–41 days), and that for patients with normal PE was 8 days (range: 0–38 days). Benias et al. (29) reported that the LOS for patients with normal PE, 1–3 ULN PE, and >3 × ULN PE was 11.19, 15.08, and 24.20 days respectively. Compared with normal PE, the median LOS for COVID-19 patients with elevated PE increased by about 40%. In addition, Ahmed et al. (14) found that patients with elevated PE had longer ICU LOS. Compared with those without PE elevation (12days, IQR: 3.3–20 days), the median ICU LOS for patients with elevated PE (19 days, IQR: 7.5–33.5 days) increased by about 60%. Ding et al. (22) (20.7% vs. 47.8%) and Li et al. (23) (76.5% vs. 94.5%) found that patients with elevated PE had a lower discharge rate respectively. Singh et al. (25) reported that patients with or without PE elevation did not show significant difference in rehospitalization (42.0% vs. 42.8%).

Analysis of PE Elevation and Complications

Six studies (13, 22–26) reported complications in PE elevation patients. Among them, kidney injury (KI) was the most common complication. The meta-analysis suggested that elevated PE was significantly associated with the increased risk of KI (OR= 3.5, 95% CI: 1.6–7.4), with significant heterogeneity (I2 = 95.0%) (Supplementary Figure 5). There were two studies each reporting respiratory failure (23, 25) and liver failure (24, 26). The pooled OR of respiratory failure in COVID-19 patients with elevated PE was 2.0 (95% CI: 0.5–8.7) (Supplementary Figure 5), and the pooled OR of liver failure was 2.3 (95% CI: 1.4–3.9) (Supplementary Figure 5). In addition, the reported complications included acute heart failure, cardiac injury, sepsis, and disseminated intravascular coagulation as well (23).

Publication Bias

Egger's test revealed that, there was no significant publication bias for studies reporting mortality (P = 0.463), ICU admission (P = 0.647), and KI (P = 0.523) associated with PE elevation, except for PE prevalence (P = 0.006). Supplementary Figure 6 for visual funnel plots.

Discussion

To the best of our knowledge, this is the latest and most comprehensive systematic review and meta-analysis on the prevalence and clinical outcomes of PE elevation in COVID-19 patients. Our study demonstrated that, overall, PE elevation was common in COVID-19 patients. The pooled prevalence of PE elevation was 24%, which was significantly higher than that of the previous mate-analysis by Goyal et al., and the risk of developing severe COVID-19 in patients with hyperlipasemia in their study was higher than that of adverse outcomes in our study (17). This is understandable because their meta-analysis included fewer and earlier studies. In addition, we also found that about 9% of patients with elevated PE > 3 × ULN eventually developed AP, which was also higher than that of a previous meta-analysis on the prevalence and clinical outcomes of AP in COVID-19 patients reported by Yang et al. (31). In their study, the pooled prevalence of AP complicated by COVID-19 was about 3.1%, of which about 18.5% eventually died. COVID-19 patients with pancreatic injury often had poor clinical outcomes. According to the revised Atlanta classification of acute pancreatitis 2012, the diagnosis of AP included abdominal pain, the elevated PE > 3 × ULN, and characteristic findings of AP on imaging. However, it cannot be denied that patients did not meet the diagnostic have no potential pancreatic injury and potential risk of poor prognosis. In this systematic review and meta-analysis, we extensively searched and included existing studies on PE elevation in patients with COVID-19 and included more participants to reveal the association between elevated PE and the clinical outcomes of COVID-19 patients. At present, the cause of PE elevation was still unclear. In the autopsy of patients with severe acute respiratory syndrome, SARS-CoV was found to be present in pancreatic tissue (32). Due to the similarity of the two viruses and the ACE II receptors highly expressed in the pancreas, pancreatic injury caused by the direct invasion of SARS-CoV-2 was one of the potential causes of PE elevation. In the case report by Schepis et al., SARS-CoV-2 RNA was detected for the first time in a pancreatic pseudocyst fluid sample from a COVID-19 patient (33). In addition, a Chinese pathology study found that COVID-19 patients had a small amount of pancreatic islet cell degeneration (34). Although the above studies seemed to verify the possibility of direct damage by SARS-CoV-2, in critically ill patients, PE elevation often occurred. The most widely accepted explanation for PE elevation with non-viral causes was pancreatic ischemia (15, 35, 36). When the patient had severe infection, hypoperfusion and shock, the pancreas was insufficiently perfused, which will lead to pancreatic injury. In addition, non-pancreatic causes such as intestinal inflammation (37), diabetes (38), acidosis (39), and renal failure (38, 40, 41) can also lead to PE elevation. Although a variety of causes, including pancreatic injury, can lead to PE elevation, it was undeniable that when the above symptoms appeared in COVID-19 patients, it often indicated the occurrence of poor clinical outcomes. Our meta-analysis and systematic review found that PE elevation in COVID-19 patients was significantly associated with the increase of mortality, ICU admission, LOS, and clinical complications as KI, respiratory failure and liver failure. In the analysis of mortality, the pooled OR without two heterogeneous studies (13, 23) was 1.7, which was significantly lower than the pooled OR of 2.5 for all studies. In these two studies, we found that 50.1% of the patients were diagnosed with severe COVID-19 and 43% with severe pneumonia, respectively. In a meta-analysis involving 30 studies, the proportion of severe COVID-19 was about 26% (42). In addition, studies have shown that severe COVID-19 and more comorbidities were the risk factors for higher clinical mortality (43, 44). Although the severity of COVID-19 was not clearly reported in other included studies, we believed that the heavier condition of patients contributed to the higher mortality, resulting in the overestimation of the risk of pooled mortality. Compared with the existing discovered risk factors for mortality of COVID-19 patients such as gender (45, 46), age (43, 45–47), diabetes (45, 48), history of COPD (45), and chronic cardiac disease (49), we found that PE elevation had a similar risk for mortality. Therefore, PE elevation may also serve as a risk indicator of mortality for patients with COVID-19. In the subgroup analysis of mortality based on different definition of PE elevation, we found that patients with elevated PE of >3 × ULN had a higher risk of death. In addition, it was also interesting that regardless of including or excluding the heterogeneous studies, the pooled OR of mortality in the 1–3 ULN group did not change a lot (2.3 vs. 2.5, 1.7 vs. 1.7), which indicated that a slight increase in PE, even if it did not satisfy the diagnostic criterion of AP, will have a hazardous effect on the clinical outcomes of COVID-19 patients. In other words, it is possible that PE is a sensitive marker for predicting the mortality in COVID-19 patients. In the subgroup analysis on mortality based on different data sources, the pooled OR of mortality in single-center studies was higher than that of multi-center studies (2.4 vs. 1.6). Among the included multi-center studies, one was a database study (25), one study was based on two tertiary hospitals and four community hospitals (16), and two studies was based on several major tertiary medical systems (14, 29). Since the time of data recorded and the methods of measurement and testing in public databases were difficult to ensure consistency (50), and the conditions of patients in community hospitals were different from those in tertiary medical institutions, we believed that the existing multi-center studies may underestimate the real risk of mortality in COVID-19 patients with elevated PE. Therefore, we hoped that prospective studies based on several tertiary medical institutions can be carried out to explore the real risk of hospital mortality related to PE elevation in COVID-19 patients. And on this basis, further explore the specific sources and risk factors of PE elevation. In addition, it is worth noting that Ahmed et al. (14) tried to explore the relationship between PE elevation, D-dimer and mortality, ICU admission. Existing studies have proved that laboratory factors including D-dimer levels, demographic factors, patient history factors, physical examination factors, and clinical scores were significantly related to the severity and poor prognosis of COVID-19 patients (51). Since the COVID-19 patients often underwent various examinations during hospitalization, which generated rich medical records, it will be a meaningful attempt to predict the clinical outcomes of COVID-19 patients through using these multi-dimensional data. At present, machine learning algorithm has been widely used in the prediction tasks of complications, mortality, etc. in COVID-19 (52–54). We hoped that future studies can develop similar predictive models based on multi-omics clinical data including PE elevation to predict the clinical outcome of COVID-19 patients. This systematic review and meta-analysis also had certain limitations. First, we only searched articles in English, which may lead to potential bias of publication. Second, due to the limited number of articles included, the results showed significant heterogeneity. Although we attributed it to the differences in the severity of COVID-19, there may also be other potential factors that we overlooked. Third, although we tried to perform a subgroup analysis to explore the impact of PE elevation on specific clinical outcomes, due to the few studies reporting detailed complications, the result of our analysis was unstable and needed to be validated by including more studies in the future.

Conclusion

In conclusion, our research found that PE elevation was a risk factor for poor clinical outcomes in patients with COVID-19. Compared with patients with normal PE, patients with elevated PE had a higher risk of mortality, ICU admission, and complications. In addition, future studies are still needed for further analysis of more impacts of PE elevation in COVID-19 patients.

Data Availability Statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Author Contributions

All authors contributed to the development of the manuscript. YZ, Y-TG, L-HH, and G-TL designed the study. YZ and Y-TG conducted literature searching with the help of Y-BD and L-HH. X-XY and QC screened and reviewed the articles. YZ and QC assessed the quality of included studies. YZ and X-XY extracted the data from included studies. YZ and Y-TG drafted the manuscript. Y-BD, L-HH, and G-TL provided guidance and approved the final draft. All authors contributed to the article and approved the submitted version.

Funding

This study was supported by the National Natural Science Foundation of China [No. 82070664 (L-HH), No. 81801970 (G-TL), and No. 82070668 (G-TL)].

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher's Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
  53 in total

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Authors:  You Zhou; Yu-Tong Ge; Xiao-Lei Shi; Ke-Yan Wu; Wei-Wei Chen; Yan-Bing Ding; Wei-Ming Xiao; Dan Wang; Guo-Tao Lu; Liang-Hao Hu
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Review 4.  PANCREATITIS OR NOT?--Elevated lipase and amylase in ICU patients.

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5.  Lipase Elevation in Patients With COVID-19.

Authors:  Julia McNabb-Baltar; David X Jin; Amit S Grover; Walker D Redd; Joyce C Zhou; Kelly E Hathorn; Thomas R McCarty; Ahmad N Bazarbashi; Lin Shen; Walter W Chan
Journal:  Am J Gastroenterol       Date:  2020-08       Impact factor: 10.864

6.  Epidemiology, clinical course, and outcomes of critically ill adults with COVID-19 in New York City: a prospective cohort study.

Authors:  Matthew J Cummings; Matthew R Baldwin; Darryl Abrams; Samuel D Jacobson; Benjamin J Meyer; Elizabeth M Balough; Justin G Aaron; Jan Claassen; LeRoy E Rabbani; Jonathan Hastie; Beth R Hochman; John Salazar-Schicchi; Natalie H Yip; Daniel Brodie; Max R O'Donnell
Journal:  Lancet       Date:  2020-05-19       Impact factor: 79.321

7.  A Machine Learning Prediction Model of Respiratory Failure Within 48 Hours of Patient Admission for COVID-19: Model Development and Validation.

Authors:  Douglas Barnaby; Theodoros P Zanos; Siavash Bolourani; Max Brenner; Ping Wang; Thomas McGinn; Jamie S Hirsch
Journal:  J Med Internet Res       Date:  2021-02-10       Impact factor: 5.428

Review 8.  Angiotensin-converting enzyme 2: a functional receptor for SARS coronavirus.

Authors:  J H Kuhn; W Li; H Choe; M Farzan
Journal:  Cell Mol Life Sci       Date:  2004-11       Impact factor: 9.261

9.  Machine Learning to Predict Mortality and Critical Events in a Cohort of Patients With COVID-19 in New York City: Model Development and Validation.

Authors:  Sulaiman Somani; Adam J Russak; Akhil Vaid; Jessica K De Freitas; Fayzan F Chaudhry; Ishan Paranjpe; Kipp W Johnson; Samuel J Lee; Riccardo Miotto; Felix Richter; Shan Zhao; Noam D Beckmann; Nidhi Naik; Arash Kia; Prem Timsina; Anuradha Lala; Manish Paranjpe; Eddye Golden; Matteo Danieletto; Manbir Singh; Dara Meyer; Paul F O'Reilly; Laura Huckins; Patricia Kovatch; Joseph Finkelstein; Robert M Freeman; Edgar Argulian; Andrew Kasarskis; Bethany Percha; Judith A Aberg; Emilia Bagiella; Carol R Horowitz; Barbara Murphy; Eric J Nestler; Eric E Schadt; Judy H Cho; Carlos Cordon-Cardo; Valentin Fuster; Dennis S Charney; David L Reich; Erwin P Bottinger; Matthew A Levin; Jagat Narula; Zahi A Fayad; Allan C Just; Alexander W Charney; Girish N Nadkarni; Benjamin S Glicksberg
Journal:  J Med Internet Res       Date:  2020-11-06       Impact factor: 5.428

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