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Predictors of mortality of hospitalized COVID-19 pneumonia patients in university hospital

Abstract

Introduction

COVID-19 pneumonia is a leading cause for worse outcome of infected patients. Factors associated with mortality in COVID-19 pneumonia vary among studies; identification of most possible factors related to worse outcome might add for management.

Patients and methods

Consecutive COVID-19 pneumonia patients referred to the Assiut University Hospital, Egypt, from June 2020 to August 2022 were included in our study. All the included patients were followed up from admission until discharge to identify the factors that worsen the outcome. Our cohort study includes two groups: survivors and non-survivors. Clinical, laboratory, and management data of both groups were recorded.

Results

Two-hundred and fifty-one confirmed COVID-19 pneumonia patients were included in the study; 147 (58.6%) patients were improved (survivors’ group), and 104 (41.4%) patients were deteriorated and died (non-survivors’ group). Non-survivors’ group had significantly higher MMRC dyspnea scale, pneumonia severity index, CURB-65 score, and baseline respiratory rate. Non-survivors group had significantly lower mean lymphocytes (0.81 ± 0.61 vs. 1.25 ± 0.75; p < 0.001), higher ferritin (1272.45 ± 143.76 vs. 615.84 ± 75.47; p < 0.001), and higher d-dimer (6.65 ± 2.67 vs. 2.78 ± 0.38; p < 0.001), with interestingly significantly higher mean platelet volume (MPV) (10.34 ± 1.64 vs. 10.07 ± 1.93 (fl); p < 0.001). Non-survivors group was frequently admitted to ICU (88 (84.6%) vs. 38 (25.9%); p < 0.001) and had longer duration in ICU than survivors group (9.71 ± 3.36 vs. 5.90 ± 2.34 (days); p < 0.001). The predictors for mortality among patients with COVID-19 pneumonia were old age, high MPV, high CT score, and admission to ICU.

Conclusion

Old age, severe lung infiltrate with HRCT, high mean platelet volume, and ICU admission are the main clinical determinants of worse outcome of COVID-19 pneumonia.

Introduction

Coronavirus disease 2019 (COVID-19) was initiated by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, spreading rapidly worldwide. Most patients may have mild or no illness, but some cases may develop severe pneumonia requiring intensive respiratory support [1].

Early in the starting of the pandemic, mortality from COVID-19 pneumonia was alarming sign to be considered with patient’s management [2]; mortality was still high with going time especially patients had severe pneumonia [3]. Although the COVID-19 pandemic is run out, still some COVID-19 pneumonia cases and mortality are recorded [4]. These mortality burden necessitates aggressive investigation of its factors [5]. The findings from previous studies suggested many factors were correlated with COVID-19 pneumonia disease burden or death [2, 3, 5]. These factors of worse COVID-19 pneumonia vary among studies; in the present study, these factors are displayed and confirmed.

Patients and methods

A prospective study was conducted in the Assiut University Hospital during the period of June 2020 to August 2022.

Selection criteria

Consecutive patients were diagnosed to have COVID-19 pneumonia and were eligible for the study after their consent.

Methods

All the enrolled patients in the study were subjected to history taking, and clinical evaluation included age, sex, comorbidities, and clinical presentations. In addition of laboratory data included, arterial blood gases, complete blood count, liver function, coagulation profile, serum electrolytes, and erythrocyte sedimentation rate were recorded. High-resolution chest computed tomography (HRCT) is recorded using COVID-19 Reporting and Data System (CO-RADS) [6].

Severity assessment

Admission CURB-65 score: It is five items score; each item scored 1 point, including confusion, urea more than 7 mmol/L, respiratory rate is 30 cycle per minute or above, systolic blood pressure is lower than 90 mmHg and/or diastolic blood pressure is 60 mmHg or less, and age is 65 years or more [7]. Admission pneumonia severity index (PSI scale) is recorded; PSI is 19 variables scale that is calculated based on age, the presence of comorbidity, abnormal clinical variables as respiratory rate of 30 cycle per minute or more, a temperature of 40 °C or more and abnormal laboratory findings as pH less than 7.35, a blood urea nitrogen 30 mg/dl or more, and a serum sodium level less than 130 mmol per liter [8, 9].

Statistical analysis

It was performed using SPSS version 20 (USA). Patient’s variable analyses were done using standard descriptive methods: frequency (percentage) for qualitative variables and mean (SD) quantitative variables. Nominal data were compared by chi-square test, while continuous data were compared by Student t-test. With using logistic regression analysis, mortality predictors of patients with COVID-19 pneumonia were determined. All measured p-values were two sided with values less than 0.05 which were considered statistically significant.

Results

Two-hundred and fifty-one patients were included in the study with confirmed COVID-19 pneumonia. Out of those patients, 147 (58.6%) patients were improved and discharged (survivor group), and 104 (41.4%) patients were deteriorated and died (non-survivor group).

Baseline characteristics of included patients based on the outcome (Table 1)

Table 1 Baseline data of enrolled patients based on the outcome

Non-survivor group had significantly higher mean age in comparison to survivor group (65.22 ± 12.47 vs. 55.48 ± 17.32 (years); p < 0.001). All other baseline variables did not show significant differences between both groups (p > 0.05).

Symptomatology and clinical evaluation based on the outcome (Table 2)

Table 2 Symptomatology and clinical evaluation in patients based on the outcome

Frequency of dyspnea was significantly higher among non-survivor group (121 (82.3%) vs. 99 (95.2%); p < 0.001). Also, non-survivor group had significantly higher dyspnea scale, pneumonia severity index, CURB-65, and baseline respiratory rate, while survivor group had significantly higher systolic and diastolic blood pressure (p < 0.001).

Laboratory and radiological data based on the outcome(Table 3)

Table 3 Laboratory and radiological data in patients based on the outcome

Non-survivor group had significantly lower mean lymphocytes (0.81 ± 0.61 vs. 1.25 ± 0.75 (103/µl); p < 0.001) with significantly higher MPV (10.34 ± 1.64 vs. 10.07 ± 1.93 (fl); p < 0.001), ferritin (1272.45 ± 143.76 vs. 615.84 ± 75.47 (ng/ml); p < 0.001) and d-dimer (6.65 ± 2.67 vs. 2.78 ± 0.38 (mg/l); p < 0.001). Also, arterial blood gases where all parameters were significantly impaired in non-survivor group.

CT score was significantly higher among dead patients (5 ± 1.06 vs. 3.96 ± 1.34; p < 0.001). Four patients of survivors group and another patient from non-survivor group had pulmonary embolism.

Therapeutic regimens and length of stay based on the outcome (Table 4)

Table 4 Therapeutic regimens and length of stay based on the outcome

Hospital stay was significantly longer among non-survivor group in comparison to survivor group (19.71 ± 5.46 vs. 12.07 ± 4.64 (days); p < 0.001). Non-survivor group was frequently admitted to ICU (88 (84.6%) vs. 38 (25.9%); p < 0.001) with longer duration in ICU than survivor group (9.71 ± 3.36 vs. 5.90 ± 2.34 (days); p < 0.001).

Mortality predictors among patients with COVID-19 pneumonia (Table 5)

Table 5 Predictors of mortality among patients with COVID-19 infection

Based on the present study, mortality predictors among patients with COVID-19 pneumonia were old age, high MPV, high CT score, and admission to ICU.

Discussion

The present study discloses important factors affecting patient’s outcome in large COVID-19 pneumonia hospitalized patients. A total of 251 patients were enrolled; 58.6% patients were improved and discharge from hospital, while 41.4% were deteriorated and died. This reflects the burden of hospitalized COVID-19 pneumonia to the patients, necessitating urgent and cautious deal to improve the outcome.

The non-survivors group had significantly higher mean age; with increasing age, there are significant changes in the immune system and the response of the inflammatory cells to infection including viral one especially if it is not previously identified and novel antigen to the immune cells [10]. These changes in the immune system with aging involve hematopoietic stem cells and its lymphoid progenitors cells responsible for defense against viral infection [11]. This also observed with others as Palaiodimos L. et al. who noted that old age was correlated with high mortality [12].

Gender effect on the mortality of COVID-19 pneumonia varies among studies; with interest in improving women outcome in most of them, this was proposed related to genetic, hormonal, and or behavioral factors that modulate the immune system differently in both genders [13, 14], this was not noted in the present study as no significant differences in gender were found, and our finding might be powered by the bias effect that commonly referred in the previous studies to explain the differences [13]. However. Jin et al. stated those male with COVID-19 pneumonia tended to be more serious than female, and men were more prone to dying respectively [15].

Breathlessness is an important clinical symptom that guides the patients to seek medical care; its severity could make physician decision for patient hospitalization and meticulous medical dealing and important prognostic factor for worse pneumonia outcome [16]; frequency of dyspnea was significantly higher among non-survivor group in the present study. This observation runs the study of Padmaprakash et al. which found out that dyspnea was positively correlated with the progression of COVID-19 pneumonia [17].

The present study shows admission PSI and CURB-65 score were significantly high in non-survivor group (p < 0.001) and also with using ROC analysis (Fig. 1) showing significant prognostic value (AUC: 0.743 and 0.752, respectively, p 0.0001). Chen J. et al. found that PSI and CURB-65 were significant in predicting mortality with PSI had higher sensitivity than CURB-65 [18]. Also, Arturo Artero et al. noted the important significant value of admission PSI and CURB-65 as a prognostic tool in hospitalized COVID-19 pneumonia patients that enforce the present finding [19].

Fig. 1
figure 1

ROC curve analysis showing the prediction of hospitalized COVID-19 pneumonia mortality using admission CURB-65 score (AUC: 0.752) and pneumonia severity index (AUC: 0.743)

Mean platelet volume increases significantly in non-survivors’ group, and this goes with the study of Comer S. et al. [20]; COVID-19 is associated with thrombocytopenia which stimulates pulmonary megakaryocyte to produce more platelets. The new platelets were younger, immature, and larger which explains the increase of volume of platelet [21]. Although these finding was observed with others, however, there are some concern to consider these finding with interest as mean platelet volume may be not highly accurate calculated with the routine lab devices and the way of blood collection may be not ideal for calculation of MPV; however, as there are more than one study observing these finding, it should be considered and investigated in future studies to confirm its value [22, 23].

Many laboratory markers differ significantly between survivors and non-survivor as increase of absolute number of neutrophils and decrease of absolute number of lymphocytes and eosinophil’s in non-survivor group; these hematological effect may be explained by the bidirectional effect of the virus and the immune system through stimulation with subsequent releasing or inhibiting inflammatory mediators as procoagulant, coagulant, autoimmune antibodies, and immune complex mediator [24]. These biomarkers have direct and indirect effect on hematopoietic stem cell and the lung immune system [25, 26]. Ferritin, CRP, D-dimer, and LDH were significantly higher in non-survivor group; these related to the cytokine releases from immune stimulate cells in response to excessive virus load [27], and previous studies were consistent with such data [28,29,30]. As predicted the need for intensive care and increase severity of the case; with worse outcome; as present analysis found; ICU admission was associated with higher mortality rate as also noted by the study of Yang et al. [31].

Conclusion

Old age, high MPV, high CT score, and admission to ICU can be used as predictors for mortality among patients with COVID-19 pneumonia. Future studies with longer duration of follow are warranted.

Availability of data and materials

The data that support the findings of this study are available from the corresponding author on request.

Abbreviations

COVID-19:

Coronavirus disease 2019

HRCT:

High-resolution chest computed tomography

ICU:

Intensive care unit

LDH:

Lactate dehydrogenase

MMRC:

Modified Medical Research Council

MPV:

Mean platelets volume

PSI:

Pneumonia severity index

SARS-CoV-2:

Severe acute respiratory syndrome coronavirus 2

SPSS:

Statistical Package for the Social Sciences

References

  1. Thungthienthong M, Vattanavanit V (2023) Platelet-to-white blood cell ratio as a predictor of mortality in patients with severe COVID-19 pneumonia: a retrospective cohort study. Infection and Drug Resistance. 16:445–455

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  2. Huang C, Wang Y, Li X, Ren L, Zhao J, Hu Y et al (2020) Clinical features of patients infected with 2019 novel coronavirus in Wuhan. China The lancet 395(10223):497–506

    Article  CAS  Google Scholar 

  3. Chen N, Zhou M, Dong X, Qu J, Gong F, Han Y et al (2020) Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study. Lancet 395(10223):507–13 (PubMed PMID: 32007143. Pubmed Central PMCID: PMC7135076. Epub 20200130. eng)

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Del Rio C, Malani PN (2023) COVID-19 in the fall of 2023-forgotten but not gone. JAMA 330(16):1517–1518 (PubMed PMID: 37698857)

    Article  PubMed  Google Scholar 

  5. Wang D, Hu B, Hu C, Zhu F, Liu X, Zhang J et al (2020) Clinical characteristics of 138 hospitalized patients with 2019 novel coronavirus–infected pneumonia in Wuhan. China jama 323(11):1061–1069

    Article  CAS  PubMed  Google Scholar 

  6. Nair AV, McInnes M, Jacob B, Kumar D, Soman DK, Subair HSV et al (2021) Diagnostic accuracy and inter-observer agreement with the CO-RADS lexicon for CT chest reporting in COVID-19. Emergency radiology 28(6):1045–54 (PubMed PMID: 34302561. Pubmed Central PMCID: 8308071.)

    Article  PubMed  PubMed Central  Google Scholar 

  7. Nguyen Y, Corre F, Honsel V, Curac S, Zarrouk V, Fantin B et al (2020) Applicability of the CURB-65 pneumonia severity score for outpatient treatment of COVID-19. J Infect 81(3):e96–e8 (PubMed PMID: 32474039. Pubmed Central PMCID: PMC7255987. Epub 20200529. eng)

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Lee MS, Oh JY, Kang C-I, Kim ES, Park S, Rhee CK et al (2018) Guideline for antibiotic use in adults with community-acquired pneumonia. Infection & chemotherapy 50(2):160

    Article  Google Scholar 

  9. Fine MJ, Auble TE, Yealy DM, Hanusa BH, Weissfeld LA, Singer DE et al (1997) A prediction rule to identify low-risk patients with community-acquired pneumonia. N Engl J Med 336(4):243–250 (PubMed PMID: 8995086)

    Article  CAS  PubMed  Google Scholar 

  10. Montecino-Rodriguez E, Berent-Maoz B, Dorshkind K (2013) Causes, consequences, and reversal of immune system aging. The Journal of clinical investigation. 123(3):958–65 (PubMed PMID: 23454758. Pubmed Central PMCID: 3582124)

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Linton PJ, Dorshkind K (2004) Age-related changes in lymphocyte development and function. Nat Immunol 5(2):133–139 (PubMed PMID: 14749784)

    Article  CAS  PubMed  Google Scholar 

  12. Palaiodimos L, Kokkinidis DG, Li W, Karamanis D, Ognibene J, Arora S et al (2020) Severe obesity, increasing age and male sex areindependently associated with worse in-hospital outcomes, and higherin-hospital mortality, in a cohort of patients with COVID-19 in the Bronx. NewYork. Metabolism. 108:154262. PubMed PMID: 32422233. Pubmed CentralPMCID: PMC7228874. Epub 20200516. eng.

    Article  CAS  Google Scholar 

  13. Lakbar I, Luque-Paz D, Mege JL, Einav S, Leone M (2020) COVID-19 gender susceptibility and outcomes: a systematic review. PloS one. 15(11):e0241827. PubMed PMID: 33141872. Pubmed Central PMCID: 7608911 speaker for MSD, Pfizer and as consultant for Amomed, Aguettant and Gilead. This does not alter our adherence to PLOS ONE policies on sharing data and materials

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  14. Regitz-Zagrosek V (2012) Sex and gender differences in health. Science & Society Series on Sex and Science. EMBO reports 13(7):596–603 (PubMed PMID: 22699937. Pubmed Central PMCID: 3388783)

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Jin JM, Bai P, He W, Wu F, Liu XF, Han DM et al (2020) Gender differences in patients with COVID-19: focus on severity and mortality. Front Public Health. 8:152 (PubMed PMID: 32411652. Pubmed Central PMCID: PMC7201103. Epub 20200429. eng)

    Article  PubMed  PubMed Central  Google Scholar 

  16. Choi YJ, Song JY, Hyun H, Nham E, Yoon JG, Seong H et al (2022) Prognostic factors of 30-day mortality in patients with COVID-19 pneumonia under standard remdesivir and dexamethasone treatment. Medicine. 101(38):e30474. PubMed PMID: 36197235. Pubmed Central PMCID: 9508954.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. Padmaprakash K, Vardhan V, Thareja S, Muthukrishnan J, Raman N, Ashta KK et al (2021) Clinical characteristics and clinical predictors of mortality in hospitalised patients of COVID 19: an Indian study. medical journal armed forces india 77:S319–S32

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. Chen J, Liu B, Du H, Lin H, Chen C, Rao S et al (2021) Performance of CURB-65, PSI, and APACHE-II for predicting COVID-19 pneumonia severity and mortality. European Journal of Inflammation 19:20587392211027084

    Article  CAS  Google Scholar 

  19. Artero A, Madrazo M, Fernandez-Garces M, Muino Miguez A, Gonzalez Garcia A, Crestelo Vieitez A et al (2021) Severity scores in COVID-19 pneumonia: a multicenter, retrospective, cohort study. J Gen Int Med. 36(5):1338–45 (PubMed PMID: 33575909. Pubmed Central PMCID: 7878165)

    Article  Google Scholar 

  20. Comer SP, Cullivan S, Szklanna PB, Weiss L, Cullen S, Kelliher S et al (2021) COVID-19 induces a hyperactive phenotype in circulating platelets. PLoS Biol 19(2):e3001109

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Daniels S, Wei H, Denning DW (2021) Platelet size as a predictor for severity and mortality in COVID-19 patients: a systematic review and meta-analysis. https://doi.org/10.1101/2021.07.15.21260576

  22. Beyan C, Beyan E (2022) Mean platelet volume may not be a mortality marker in patients with COVID-19 pneumonia. Am J Emerg Med. 57:199–200 (PubMed PMID: 34991906. Pubmed Central PMCID: 8715572)

    Article  PubMed  Google Scholar 

  23. Isler Y, Kaya H (2022) Relationship of platelet counts, platelet volumes, and Curb-65 scores in the prognosis of COVID-19 patients. Am J Emerg Med 51:257–61 (PubMed PMID:34781151. Pubmed Central PMCID: 8577220)

    Article  PubMed  Google Scholar 

  24. de-Oliveira-Pinto LM, Fiestas Solorzano VE, de Lourdes Martins M, Fernandes-Santos C, Damasco PH, de Siqueira M et al (2022) Comparative analysis of circulating levels of SARS-CoV-2 antibodies and inflammatory mediators in healthcare workers and COVID-19 patients. Viruses 14(3):455 (PubMed PMID: 35336861. Pubmed Central PMCID: 8955649)

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Subramaniam S, Scharrer I (2018) Procoagulant activity during viral infections. Front Biosci 23(6):1060–1081 (PubMed PMID: 28930589)

    CAS  Google Scholar 

  26. Bai B, Xu Z, Hu Y, Qu M, Cheng J, Luo S et al (2021) Patient hematology during hospitalization for viral pneumonia caused by SARS-CoV-2 and non-SARS-CoV-2 agents: a retrospective study. European journal of medical research. 26(1):45 (PubMed PMID: 33990223. Pubmed Central PMCID: 8120019)

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  27. Farid E, Sridharan K, Alsegai OA, Khawaja SA, Mansoor EJ, Teraifi NA et al (2021) Utility of inflammatory biomarkers in patients with COVID-19 infections: Bahrain experience. Biomarkers in medicine 15(8):541–9 (PubMed PMID: 33988463. Pubmed Central PMCID: 8120999)

    Article  CAS  PubMed  Google Scholar 

  28. Hu J, Han Z, Heidari AA, Shou Y, Ye H, Wang L et al (2022) Detection of COVID-19 severity using blood gas analysis parameters and Harris hawks optimized extreme learning machine. Comput Biol Med 142:105166 (PubMed PMID: 35077935. Pubmed Central PMCID: PMC8701842. Epub 20211224. eng.)

    Article  CAS  PubMed  Google Scholar 

  29. Bartziokas K, Kostikas K (2021) Lactate dehydrogenase, COVID-19 and mortality. Med Clin (Engl Ed) 156(1):37 (PubMed PMID: 33521309. Pubmed Central PMCID: PMC7832973. Epub 20210106. eng)

    CAS  PubMed  Google Scholar 

  30. Ahmed S, Ansar Ahmed Z, Siddiqui I, Haroon Rashid N, Mansoor M, Jafri L (2021) Evaluation of serum ferritin for prediction of severity and mortality in COVID-19- a cross sectional study. Ann Med Surg (Lond) 63:102163 (PubMed PMID: 33614024. Pubmed Central PMCID: PMC7879065. Epub 20210212. eng)

    PubMed  Google Scholar 

  31. Yang X, Yu Y, Xu J, Shu H, Liu H, Wu Y et al (2020) Clinical course and outcomes of critically ill patients with SARS-CoV-2 pneumonia in Wuhan, China: a single-centered, retrospective, observational study. Lancet Respir Med 8(5):475–481

    Article  CAS  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

Residents and nurses of Chest Diseases Departments and Critical Care Unit, Assiut University.

Funding

None. NB: Part of this study was presented as online abstract poster at ATS2023.

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Authors

Contributions

SMW was shared in the study design, collection of data, analysis of data, result interpretations, manuscript writing and revision, and manuscript approval; MOS was shared in the study design, collection of data, analysis of data, result interpretations, manuscript writing and revision, and manuscript approval; and MKA was shared in the study design, collection of data, analysis of data, result interpretations, manuscript writing and revision, and manuscript approval.

Corresponding author

Correspondence to Mostafa K. Ahmed.

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Ethics approval and consent to participate

This study was approved by clinical trial number: NCT04481360 and the Assiut University Faculty of Medicine medical ethical committee number: 17101187.

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All the authors agree for submission and publication of the manuscript.

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The authors declare that they have no competing interests.

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Wafy, S.M., Saman, M.O. & Ahmed, M.K. Predictors of mortality of hospitalized COVID-19 pneumonia patients in university hospital. Egypt J Bronchol 18, 22 (2024). https://doi.org/10.1186/s43168-024-00275-0

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