Most patients with COVID-19 disease caused by the SARS-CoV-2 virus recover from this infection, but a significant fraction progress to a fatal outcome. As with some other RNA viruses, co-infection or activation of lat...Most patients with COVID-19 disease caused by the SARS-CoV-2 virus recover from this infection, but a significant fraction progress to a fatal outcome. As with some other RNA viruses, co-infection or activation of latent bacterial infections along with pre-existing health conditions in COVID-19 disease may be important in determining a fatal disease course. Mycoplasma spp. (M. pneumonaie, M. fermentans, etc.) have been routinely found as co-infections in a wide number of clinical conditions, and in some cases this has progressed to a fatal disease. Although preliminary, Mycoplasma pneumoniae has been identified in COVID-19 disease, and the severity of some signs and symptoms in progressive COVID-19 patients could be due, in part, to Mycoplasma or other bacterial infections. Moreover, the presence of pathogenic Mycoplasma species or other pathogenic bacteria in COVID-19 disease may confer a perfect storm of cytokine and hemodynamic dysfunction, autoimmune activation, mitochondrial dysfunction and other complications that together cannot be easily corrected in patients with pre-existing health conditions. The positive responses of only some COVID-19 patients to antibiotic and anti-malaria therapy could have been the result of suppression of Mycoplasma species and other bacterial co-infections in subsets of patients. Thus it may be useful to use molecular tests to determine the presence of pathogenic Mycoplasma species and other pathogenic bacteria that are commonly found in atypical pneumonia in all hospitalized COVID-19 patients, and when positive results are obtained, these patients should treated accordingly in order to improve clinical responses and patient outcomes.展开更多
<b><span style="font-family:Verdana;">Objectives: </span></b></span><span><span><span style="font-family:""><span style="font-family:Ver...<b><span style="font-family:Verdana;">Objectives: </span></b></span><span><span><span style="font-family:""><span style="font-family:Verdana;">Early identification of patients with the novel coronavirus in</span><span style="font-family:Verdana;">duced-disease 2019 (COVID-19) and pneumonia is currently challenging.</span><span style="font-family:Verdana;"> Few data are available on validated scores predictive of Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) infection. The Portuguese Society of Intensive Care (PSIC) proposed a risk score whose main goals were to predict a higher probability of COVID-19 and optimize hospital resources, adjusting patients’ intervention. This study aimed to validate the PSIC risk score applied to inpatients with pneumonia.</span><b><span style="font-family:Verdana;"> Methods:</span></b><span style="font-family:Verdana;"> A retrospective analysis of 207 patients with pneumonia admitted to a suspected/confirmed </span><span style="font-family:Verdana;">SARS-CoV-2 infection specialized ward (20/03 to 20/05/2020) was per</span><span style="font-family:Verdana;">formed. Score variables were analyzed to determine the significance of the indepen</span><span style="font-family:Verdana;">dent predictive variables on the probability of a positive SARS-CoV-2</span><span style="font-family:Verdana;"> rRT-PCR test. The binary logistic regression modeling approach was selected. The best cut-off value was obtained with the Receiver Operating Characteristic (ROC) curve together with the evaluation of the discriminatory power through the Area Under the Curve (AUC).</span><b><span style="font-family:Verdana;"> Results: </span></b><span style="font-family:Verdana;">The validation cohort included</span><b> </b><span style="font-family:Verdana;">145 patients. Typical chest computed-tomography features (OR, 12.16;95%</span></span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">CI, 3.32</span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">-</span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">44.50) and contact with a positive SARS-CoV-2 patient (OR, 6.56;95%</span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">CI, 1.33</span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">-</span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">32.30) were the most significant independent predictive variables. A score ≥</span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">10 increased suspicion for</span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">SARS-CoV-2 pneumonia</span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">. The AUC</span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">was</span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">0.82 (</span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">95%</span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">CI, 0.73</span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">-</span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">0.91</span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">) demonstrating the good discriminating power for COVID-19 probability stratification in inpatients with pneumonia. </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><b><span style="font-family:Verdana;">Conclusions: </span></b></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">The application of the PSIC score to inpatients with pneumonia may be of value in predicting the risk of COVID-19.</span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">Further studies from other centers are needed to validate this score widely.展开更多
Physical inactivity is a well-established risk factor for chronic diseases,such as cardiovascular disease,cancer,and diabetes mellitus.There is a growing awareness that physical inactivity should also be regarded as a...Physical inactivity is a well-established risk factor for chronic diseases,such as cardiovascular disease,cancer,and diabetes mellitus.There is a growing awareness that physical inactivity should also be regarded as a risk factor for acute respiratory infections(ARIs).ARIs,such as the common cold,influenza,pneumonia,and coronavirus disease 2019(COVID-19),are among the most pervasive diseases on earth and cause widespread morbidity and mortality.Evidence in support of the linkage between ARIs and physical inactivity has been strengthened during the COVID-19 pandemic because of increased scientific scrutiny.Large-scale studies have consistently reported that the risk for severe COVID-19 outcomes is elevated in cohorts with low physical activity and/or physical fitness,even after adjusting for other risk factors.The lowered risk for severe COVID-19 and other ARIs in physically active groups is attributed to exercise-induced immunoprotective effects,including enhanced surveillance of key immune cells and reduced chronic inflammation.Scientific consensus groups,including those who submitted the Physical Activity Guidelines for Americans,have not yet given this area of research the respect that is due.It is time to add“reduced risk for ARIs”to the“Exercise is Medicine”list of physical activity-related health benefits.展开更多
COVID-19 disease is a global pandemic caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV2) that mainly presents with pneumonia, but has variable multi-systemic manifestations. Concomitant bacterial in...COVID-19 disease is a global pandemic caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV2) that mainly presents with pneumonia, but has variable multi-systemic manifestations. Concomitant bacterial infections associated with the acute stage of COVID-19 disease have been rarely reported in the literature. However, to our knowledge, post viral organizing pneumonia (OP) secondary to bacterial infection after recovery from SARS-CoV2 infection has not been noted before. We report a 27-year-old male patient with Type 1 Diabetes Mellitus who presented with fever post recovery from COVID-19 disease for seven weeks and was found to have OP secondary to<em> Klebsiella pneumoniae</em>. Furthermore, the bronchoalveolar lavage was positive for SARS-CoV2 by RT-PCR despite multiple negative nasopharyngeal RT-PCR. The patient was successfully treated with antibiotics only. Therefore, we conclude that early recognition of OP secondary to bacterial infection in patients with COVID-19 disease and prompt antibiotic treatment could avoid the use of a prolonged course of steroids.展开更多
The essential role of immunoglobulin G(IgG)in immune system regulation and combatting infectious diseases cannot be fully recognized without an understanding of the changes in its N-glycans attached to the asparagine ...The essential role of immunoglobulin G(IgG)in immune system regulation and combatting infectious diseases cannot be fully recognized without an understanding of the changes in its N-glycans attached to the asparagine 297 of the fragment crystallizable(Fc)domain that occur under such circumstances.These glycans impact the antibody stability,half-life,secretion,immunogenicity,and effector functions.Therefore,in this study,we analyzed and compared the total IgG glycome—at the level of individual glycan structures and derived glycosylation traits(sialylation,galactosylation,fucosylation,and bisecting Nacetylglucosamine(GlcNAc))—of 64 patients with influenza,77 patients with coronavirus disease 2019(COVID-19),and 56 healthy controls.Our study revealed a significant decrease in IgG galactosylation,sialylation,and bisecting GlcNAc(where the latter shows the most significant decrease)in deceased COVID19 patients,whereas IgG fucosylation was increased.On the other hand,IgG galactosylation remained stable in influenza patients and COVID-19 survivors.IgG glycosylation in influenza patients was more time-dependent:In the first seven days of the disease,sialylation increased and fucosylation and bisecting GlcNAc decreased;in the next 21 days,sialylation decreased and fucosylation increased(while bisecting GlcNAc remained stable).The similarity of IgG glycosylation changes in COVID-19 survivors and influenza patients may be the consequence of an adequate immune response to enveloped viruses,while the observed changes in deceased COVID-19 patients may indicate its deviation.展开更多
Objective:Pneumocystis pneumonia(PcP)is a life-threatening infection caused by the opportunistic fungi Pneumocystis jirovecii.The emergence of the COVID-19 pandemic forced the focus of attention of health policymakers...Objective:Pneumocystis pneumonia(PcP)is a life-threatening infection caused by the opportunistic fungi Pneumocystis jirovecii.The emergence of the COVID-19 pandemic forced the focus of attention of health policymakers on these two infections due to their clinical and paraclinical similarities,which cause diagnostic dilemmas.This study was undertaken to evaluate and estimate the global prevalence and main leading risk factors of coronavirus-associated pneumocystosis(CAP).Methods:We searched related databases between December 2019 and May 2022 for studies reporting CAP.Meta-analysis was performed using StatsDirect software(version 2.7.9)according to the DerSimonian and Laird method applying the random-effects model.We evaluated heterogeneity using theχ2-based Q statistic(significant for P<0.05)and the I2 statistic(>75%indicative of“notable”heterogeneity).Moreover,an odds ratio(OR)analysis was performed for eligible data.Results:Our meta-analysis included eight studies with 923 patients hospitalized with COVID-19;among them,92 were PcP cases.The overall pooled prevalence of CAP was estimated at 11.5%.The mortality among CAP patients was lower than that of non-PcP patients(OR 1.93;95%CI 0.86-4.31).Long-term corticosteroid therapy(OR 28.22;95%CI 0.54-1480.84)was the most predisposing factor for PcP among COVID-19 patients,followed by pulmonary diseases(OR 1.46;95%CI 0.43-4.98),kidney diseases(OR 1.26;95%CI 0.21-7.49),and acute respiratory destruction syndrome(OR 1.22;95%CI 0.05-29.28).Conclusions:The prevalence of PcP among the COVID-19 population is almost similar to the pre-COVID era.However,PcP-related mortality was decreased by the emergence of the COVID-19 pandemic.Women with COVID-19 are more susceptible to PcP than men.Acute respiratory distress syndrome,kidney diseases,pulmonary diseases,and long-term corticosteroid therapy increased the risk of PcP;however,transplantation and malignancy decreased the risk for PcP among COVID-19 patients.Further retrospective,case-control,prospective,and more precisely systematic review and meta-analysis studies are needed in this field.展开更多
文摘Most patients with COVID-19 disease caused by the SARS-CoV-2 virus recover from this infection, but a significant fraction progress to a fatal outcome. As with some other RNA viruses, co-infection or activation of latent bacterial infections along with pre-existing health conditions in COVID-19 disease may be important in determining a fatal disease course. Mycoplasma spp. (M. pneumonaie, M. fermentans, etc.) have been routinely found as co-infections in a wide number of clinical conditions, and in some cases this has progressed to a fatal disease. Although preliminary, Mycoplasma pneumoniae has been identified in COVID-19 disease, and the severity of some signs and symptoms in progressive COVID-19 patients could be due, in part, to Mycoplasma or other bacterial infections. Moreover, the presence of pathogenic Mycoplasma species or other pathogenic bacteria in COVID-19 disease may confer a perfect storm of cytokine and hemodynamic dysfunction, autoimmune activation, mitochondrial dysfunction and other complications that together cannot be easily corrected in patients with pre-existing health conditions. The positive responses of only some COVID-19 patients to antibiotic and anti-malaria therapy could have been the result of suppression of Mycoplasma species and other bacterial co-infections in subsets of patients. Thus it may be useful to use molecular tests to determine the presence of pathogenic Mycoplasma species and other pathogenic bacteria that are commonly found in atypical pneumonia in all hospitalized COVID-19 patients, and when positive results are obtained, these patients should treated accordingly in order to improve clinical responses and patient outcomes.
文摘<b><span style="font-family:Verdana;">Objectives: </span></b></span><span><span><span style="font-family:""><span style="font-family:Verdana;">Early identification of patients with the novel coronavirus in</span><span style="font-family:Verdana;">duced-disease 2019 (COVID-19) and pneumonia is currently challenging.</span><span style="font-family:Verdana;"> Few data are available on validated scores predictive of Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) infection. The Portuguese Society of Intensive Care (PSIC) proposed a risk score whose main goals were to predict a higher probability of COVID-19 and optimize hospital resources, adjusting patients’ intervention. This study aimed to validate the PSIC risk score applied to inpatients with pneumonia.</span><b><span style="font-family:Verdana;"> Methods:</span></b><span style="font-family:Verdana;"> A retrospective analysis of 207 patients with pneumonia admitted to a suspected/confirmed </span><span style="font-family:Verdana;">SARS-CoV-2 infection specialized ward (20/03 to 20/05/2020) was per</span><span style="font-family:Verdana;">formed. Score variables were analyzed to determine the significance of the indepen</span><span style="font-family:Verdana;">dent predictive variables on the probability of a positive SARS-CoV-2</span><span style="font-family:Verdana;"> rRT-PCR test. The binary logistic regression modeling approach was selected. The best cut-off value was obtained with the Receiver Operating Characteristic (ROC) curve together with the evaluation of the discriminatory power through the Area Under the Curve (AUC).</span><b><span style="font-family:Verdana;"> Results: </span></b><span style="font-family:Verdana;">The validation cohort included</span><b> </b><span style="font-family:Verdana;">145 patients. Typical chest computed-tomography features (OR, 12.16;95%</span></span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">CI, 3.32</span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">-</span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">44.50) and contact with a positive SARS-CoV-2 patient (OR, 6.56;95%</span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">CI, 1.33</span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">-</span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">32.30) were the most significant independent predictive variables. A score ≥</span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">10 increased suspicion for</span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">SARS-CoV-2 pneumonia</span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">. The AUC</span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">was</span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">0.82 (</span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">95%</span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">CI, 0.73</span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">-</span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">0.91</span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">) demonstrating the good discriminating power for COVID-19 probability stratification in inpatients with pneumonia. </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><b><span style="font-family:Verdana;">Conclusions: </span></b></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">The application of the PSIC score to inpatients with pneumonia may be of value in predicting the risk of COVID-19.</span></span></span><span><span><span style="font-family:""> </span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">Further studies from other centers are needed to validate this score widely.
文摘Physical inactivity is a well-established risk factor for chronic diseases,such as cardiovascular disease,cancer,and diabetes mellitus.There is a growing awareness that physical inactivity should also be regarded as a risk factor for acute respiratory infections(ARIs).ARIs,such as the common cold,influenza,pneumonia,and coronavirus disease 2019(COVID-19),are among the most pervasive diseases on earth and cause widespread morbidity and mortality.Evidence in support of the linkage between ARIs and physical inactivity has been strengthened during the COVID-19 pandemic because of increased scientific scrutiny.Large-scale studies have consistently reported that the risk for severe COVID-19 outcomes is elevated in cohorts with low physical activity and/or physical fitness,even after adjusting for other risk factors.The lowered risk for severe COVID-19 and other ARIs in physically active groups is attributed to exercise-induced immunoprotective effects,including enhanced surveillance of key immune cells and reduced chronic inflammation.Scientific consensus groups,including those who submitted the Physical Activity Guidelines for Americans,have not yet given this area of research the respect that is due.It is time to add“reduced risk for ARIs”to the“Exercise is Medicine”list of physical activity-related health benefits.
文摘COVID-19 disease is a global pandemic caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV2) that mainly presents with pneumonia, but has variable multi-systemic manifestations. Concomitant bacterial infections associated with the acute stage of COVID-19 disease have been rarely reported in the literature. However, to our knowledge, post viral organizing pneumonia (OP) secondary to bacterial infection after recovery from SARS-CoV2 infection has not been noted before. We report a 27-year-old male patient with Type 1 Diabetes Mellitus who presented with fever post recovery from COVID-19 disease for seven weeks and was found to have OP secondary to<em> Klebsiella pneumoniae</em>. Furthermore, the bronchoalveolar lavage was positive for SARS-CoV2 by RT-PCR despite multiple negative nasopharyngeal RT-PCR. The patient was successfully treated with antibiotics only. Therefore, we conclude that early recognition of OP secondary to bacterial infection in patients with COVID-19 disease and prompt antibiotic treatment could avoid the use of a prolonged course of steroids.
基金supported by the European Structural and Investment Funds grant for the Croatian National Centre of Competence in Molecular Diagnostics (KK.01.2.2.03.0006)the Croatian National Centre of Research Excellence in Personalized Healthcare grant (KK.01.1.1.01.0010)supported by the Human Glycome Project。
文摘The essential role of immunoglobulin G(IgG)in immune system regulation and combatting infectious diseases cannot be fully recognized without an understanding of the changes in its N-glycans attached to the asparagine 297 of the fragment crystallizable(Fc)domain that occur under such circumstances.These glycans impact the antibody stability,half-life,secretion,immunogenicity,and effector functions.Therefore,in this study,we analyzed and compared the total IgG glycome—at the level of individual glycan structures and derived glycosylation traits(sialylation,galactosylation,fucosylation,and bisecting Nacetylglucosamine(GlcNAc))—of 64 patients with influenza,77 patients with coronavirus disease 2019(COVID-19),and 56 healthy controls.Our study revealed a significant decrease in IgG galactosylation,sialylation,and bisecting GlcNAc(where the latter shows the most significant decrease)in deceased COVID19 patients,whereas IgG fucosylation was increased.On the other hand,IgG galactosylation remained stable in influenza patients and COVID-19 survivors.IgG glycosylation in influenza patients was more time-dependent:In the first seven days of the disease,sialylation increased and fucosylation and bisecting GlcNAc decreased;in the next 21 days,sialylation decreased and fucosylation increased(while bisecting GlcNAc remained stable).The similarity of IgG glycosylation changes in COVID-19 survivors and influenza patients may be the consequence of an adequate immune response to enveloped viruses,while the observed changes in deceased COVID-19 patients may indicate its deviation.
基金This study has received financial support from the Vice Chancellor for Research&Technology Affairs,Shiraz University of Medical Sciences(Grant number:26817).
文摘Objective:Pneumocystis pneumonia(PcP)is a life-threatening infection caused by the opportunistic fungi Pneumocystis jirovecii.The emergence of the COVID-19 pandemic forced the focus of attention of health policymakers on these two infections due to their clinical and paraclinical similarities,which cause diagnostic dilemmas.This study was undertaken to evaluate and estimate the global prevalence and main leading risk factors of coronavirus-associated pneumocystosis(CAP).Methods:We searched related databases between December 2019 and May 2022 for studies reporting CAP.Meta-analysis was performed using StatsDirect software(version 2.7.9)according to the DerSimonian and Laird method applying the random-effects model.We evaluated heterogeneity using theχ2-based Q statistic(significant for P<0.05)and the I2 statistic(>75%indicative of“notable”heterogeneity).Moreover,an odds ratio(OR)analysis was performed for eligible data.Results:Our meta-analysis included eight studies with 923 patients hospitalized with COVID-19;among them,92 were PcP cases.The overall pooled prevalence of CAP was estimated at 11.5%.The mortality among CAP patients was lower than that of non-PcP patients(OR 1.93;95%CI 0.86-4.31).Long-term corticosteroid therapy(OR 28.22;95%CI 0.54-1480.84)was the most predisposing factor for PcP among COVID-19 patients,followed by pulmonary diseases(OR 1.46;95%CI 0.43-4.98),kidney diseases(OR 1.26;95%CI 0.21-7.49),and acute respiratory destruction syndrome(OR 1.22;95%CI 0.05-29.28).Conclusions:The prevalence of PcP among the COVID-19 population is almost similar to the pre-COVID era.However,PcP-related mortality was decreased by the emergence of the COVID-19 pandemic.Women with COVID-19 are more susceptible to PcP than men.Acute respiratory distress syndrome,kidney diseases,pulmonary diseases,and long-term corticosteroid therapy increased the risk of PcP;however,transplantation and malignancy decreased the risk for PcP among COVID-19 patients.Further retrospective,case-control,prospective,and more precisely systematic review and meta-analysis studies are needed in this field.