Prognostic Nutritional Index and CRP, age, platelet count, albumin level score in predicting mortality and intensive care unit admission for COVID-19

Bibliometric analysis of the classic cited papers in the American Journal of Surgery: Citation recapitulates surgical history

BACKGROUND

We performed a bibliometric analysis of the American Journal of Surgery (AJS) to identify, characterize and place within a historical context, its published classic cited papers (CCPs).

METHODS

Bibliometric data from papers published in the AJS between January 1, 1945, and December 31, 2021 was extracted from the Web of Science database. Analysis was performed utilizing Bibliometrix and VOSViewer software.

RESULTS

27,070 papers were published in the AJS over the study period. There were 16 CCPs, including 5 Top CCPs, identified. Review of the Top CCPs reveals that they are based on careful clinical observations, innovation and generally build on prior published work. Top CCPs usually are specific to a particular diagnosis or a commonly performed procedure, as such papers frequently present a scoring or classification system, or important details related to new operative approaches or techniques.

CONCLUSIONS

Bibliometric study of the AJS has allowed for identification, characterization and appreciation of many of the key changes that have occurred in the discipline throughout the history of modern surgery.

Comparison of liver function test- and inflammation-based prognostic scores for coronavirus disease 2019: a single center study

BACKGROUND

Although several liver- and inflammation-based scores to predict the clinical course of patients with coronavirus disease 2019 (COVID-19) have been evaluated, no direct comparison regarding their predictive ability has been performed.

METHODS

1038 patients (608 males, age 63.5 ± 17 years) hospitalized with documented COVID-19 infection to the non-ICU ward, were included retrospectively. Clinical and laboratory characteristics on admission including evaluation of Fibrosis-4 (FIB-4) score and C-Reactive Protein (CRP) to albumin ratio (CAR) were recorded.

RESULTS

One hundred and twenty-four patients (11.9%) died during hospitalization after 8 (3-72) days. In multivariate analysis, FIB-4 (hazard ratio, 1.11; 95% confidence interval (CI), 1.034-1.19; P = 0.004), was independently associated with mortality, with very good discriminative ability (area under the receiver operating characteristic curve curve, 0.76). The patients with FIB-4 >2.67 (n = 377), compared to those with ≤2.67 (n = 661), had worse survival (log-rank 32.6; P < 0.001). Twenty-four (6.8%) of 352 patients with possible nonalcoholic fatty liver disease (NAFLD) (defined as Hepatic Steatosis Index >36) died during hospitalization. In multivariate analysis, CAR was an independent risk factor (1) for mortality (hazard ratio, 1.014; 95% CI, 1.002-1.025; P = 0.021), (2) the need for high-flow nasal cannula with or without intubation (hazard ratio, 1.016; 95% CI, 1.004-1.027; P = 0.007) and (3) development of acute kidney injury (hazard ratio, 1.017; 95% CI, 1.006-1.028; P = 0.002). In addition, the patients with possible NAFLD and CAR >12 (n = 154), compared to those with CAR ≤12 (n = 198), had worse survival (log-rank 5.1; P = 0.024).

CONCLUSIONS

FIB-4 was an independent factor for mortality with better performance compared to other liver function test- and inflammation-based scores in patients with COVID-19, while CAR was the only score independently associated with the clinical course in COVID-19 patients with possible NAFLD.

Exploration of the Potential Link, Hub Genes, and Potential Drugs for Coronavirus Disease 2019 and Lung Cancer Based on Bioinformatics Analysis

The ongoing pandemic of coronavirus disease 2019 (COVID-19) has a huge influence on global public health and the economy. Lung cancer is one of the high-risk factors of COVID-19, but the molecular mechanism of lung cancer and COVID-19 is still unclear, and further research is needed. Therefore, we used the transcriptome information of the public database and adopted bioinformatics methods to identify the common pathways and molecular biomarkers of lung cancer and COVID-19 to further understand the connection between them. The two RNA-seq data sets in this study—GSE147507 (COVID-19) and GSE33532 (lung cancer)—were both derived from the Gene Expression Omnibus (GEO) database and identified differentially expressed genes (DEGs) for lung cancer and COVID-19 patients. We conducted Gene Ontology (GO) functions and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways enrichment analysis and found some common features between lung cancer and COVID-19. We also performed TFs-gene, miRNAs-gene, and gene-drug analyses. In total, 32 DEGs were found. A protein-protein interaction (PPI) network was constructed by DEGs, and 10 hub genes were screened. Finally, the identified drugs may be helpful for COVID-19 treatment.

Association of Prognostic Nutritional Index with Severity and Mortality of Hospitalized Patients with COVID-19: A Systematic Review and Meta-Analysis

The associations of prognostic nutritional index (PNI) with disease severity and mortality in patients with coronavirus disease 2019 (COVID-19) remain unclear. Electronic databases, including MEDLINE, EMBASE, Google scholar, and Cochrane Library, were searched from inception to 10 May 2022. The associations of PNI with risk of mortality (primary outcome) and disease severity (secondary outcome) were investigated. Merged results from meta-analysis of 13 retrospective studies (4204 patients) published between 2020 and 2022 revealed a lower PNI among patients in the mortality group [mean difference (MD): −8.65, p < 0.001] or severity group (MD: −5.19, p < 0.001) compared to those in the non-mortality or non-severity groups. A per-point increase in PNI was associated with a reduced risk of mortality [odds ratio (OR) = 0.84, 95% CI: 0.79 to 0.9, p < 0.001, I2 = 67.3%, seven studies] and disease severity (OR = 0.84, 95% CI: 0.77 to 0.92, p < 0.001, I2 = 83%, five studies). The pooled diagnostic analysis of mortality yielded a sensitivity of 0.76, specificity of 0.71, and area under curve (AUC) of 0.79. Regarding the prediction of disease severity, the sensitivity, specificity, and AUC were 0.8, 0.61, and 0.65, respectively. In conclusion, this study demonstrated a negative association between PNI and prognosis of COVID-19. Further large-scale trials are warranted to support our findings.

Novel biomarker-based score (SAD-60) for predicting mortality in patients with COVID-19 pneumonia: a multicenter retrospective cohort of 1013 patients

Background: The aim was to explore a novel risk score to predict mortality in hospitalized patients with COVID-19 pneumonia. Methods: This was a retrospective, multicenter study. Results: A total of 1013 patients with COVID-19 were included. The mean age was 60.5 ± 14.4 years, and 581 (57.4%) patients were male. In-hospital death occurred in 124 (12.2%) patients. Multivariate analysis revealed peripheral capillary oxygen saturation (SpO2), albumin, D-dimer and age as independent predictors. The mortality score model was given the acronym SAD-60, representing SpO2, Albumin, D-dimer, age ≥60 years. The SAD-60 score (0.776) had the highest area under the curve compared with CURB-65 (0.753), NEWS2 (0.686) and qSOFA (0.628) scores. Conclusion: The SAD-60 score has a promising predictive capacity for mortality in hospitalized patients with COVID-19.