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A COVID-19-association-dependent categorization of death causes in 100 autopsy cases.
Danics, Krisztina; Pesti, Adrián; Töro, Klára; Kiss-Dala, Noémi; Szlávik, János; Lakatos, Botond; Radnai, Andrea; Balázs, Tamás; Bacskai, Miklós; Dobi, Deján; Várkonyi, Tibor; Glasz, Tibor; Lotz, Gábor; Kiss, András; Schaff, Zsuzsa; Vályi-Nagy, István.
  • Danics K; Department of Forensic and Insurance Medicine, Semmelweis University, Budapest, Hungary.
  • Pesti A; 2nd Department of Pathology, Semmelweis University, Budapest, Hungary.
  • Töro K; Department of Forensic and Insurance Medicine, Semmelweis University, Budapest, Hungary.
  • Kiss-Dala N; Central Hospital of Southern Pest-National Institute of Hematology and Infectious Diseases, Budapest, Hungary.
  • Szlávik J; Central Hospital of Southern Pest-National Institute of Hematology and Infectious Diseases, Budapest, Hungary.
  • Lakatos B; Central Hospital of Southern Pest-National Institute of Hematology and Infectious Diseases, Budapest, Hungary.
  • Radnai A; Heathware Consulting Ltd, Budapest, Hungary.
  • Balázs T; Heathware Consulting Ltd, Budapest, Hungary.
  • Bacskai M; Heathware Consulting Ltd, Budapest, Hungary.
  • Dobi D; 2nd Department of Pathology, Semmelweis University, Budapest, Hungary.
  • Várkonyi T; 2nd Department of Pathology, Semmelweis University, Budapest, Hungary.
  • Glasz T; 2nd Department of Pathology, Semmelweis University, Budapest, Hungary.
  • Lotz G; 2nd Department of Pathology, Semmelweis University, Budapest, Hungary.
  • Kiss A; 2nd Department of Pathology, Semmelweis University, Budapest, Hungary.
  • Schaff Z; 2nd Department of Pathology, Semmelweis University, Budapest, Hungary. schaff.zsuzsa@med.semmelweis-univ.hu.
  • Vályi-Nagy I; Central Hospital of Southern Pest-National Institute of Hematology and Infectious Diseases, Budapest, Hungary.
Geroscience ; 43(5): 2265-2287, 2021 10.
Article in English | MEDLINE | ID: covidwho-1401069
ABSTRACT
From March through December 2020, 100 autopsies were performed (Semmelweis University, Budapest, Hungary), with chart review, of patients with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection demonstrated by real-time reverse-transcription polymerase chain reaction testing (mean age, 74.73 years, range 40-102 years; 50 males, mean age 71.96 years, and 50 females, mean age 77.5 years). Classified by the date of death, 21 cases were from the pandemic's "first wave" (March through July) and 79 from the "second wave" (August through December). Three mortality categories were defined by relevance of SARS-CoV-2 infection (1) "strong" association (n=57), in which COVID-19 was primary responsible for death; (2) "contributive" association (n=27), in which a pre-existing condition independent of COVID-19 was primary responsible for death, albeit with substantial COVID-19 co-morbidity; (3) "weak" association (n=16), in which COVID-19 was minimally or not at all responsible for death. Distributions among categories differed between the first wave, in which the "contributive" association cases dominated (strong 24%, contributive 48%, weak 28%), and the second wave, in which the "strong" association cases dominated (strong 66%, contributive 21%, weak 13%). Charted co-morbidities included hypertension (85 %), cardiovascular diseases (71 %), diabetes (40 %), cerebrovascular diseases (31 %), chronic respiratory diseases (30 %), malignant tumors (20 %), renal diseases (19 %), diseases of the central nervous system (15 %), and liver diseases (6 %). Autopsy evaluation analyzed alterations on macroscopy as well as findings on microscopy of scanned and scored sections of formalin-fixed, paraffin-embedded tissue samples (50-80 blocks/case). Severity of histological abnormalities in the lung differed significantly between "strong" and "contributive" (p<0.0001) and between "strong" and "weak" categories (p<0.0001). Abnormalities included diffuse alveolar damage, macrophage infiltration, and vascular and alveolar fibrin aggregates (lung), with macro- and microvascular thrombi and thromboemboli (lung, kidney, liver). In conclusion, autopsies clarified in what extent COVID-19 was responsible for death, demonstrated the pathological background of clinical signs and symptoms, and identified organ alterations that led to the death. Clinicopathologic correlation, with conference discussions of severity of co-morbidities and of direct pathological signs of disease, permitted accurate categorization of cause of death and COVID-19 association as "strong," "contributive," or "weak." Lung involvement, with reduced ventilatory capacity, was the primary cause of death in the "strong" and "contributive" categories. Shifts in distribution among categories, with "strong" association between COVID-19 and death dominating in the second wave, may reflect improved clinical management of COVID-19 as expertise grew.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Experimental Studies / Prognostic study Limits: Aged / Female / Humans / Male Language: English Journal: Geroscience Year: 2021 Document Type: Article Affiliation country: S11357-021-00451-w

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Experimental Studies / Prognostic study Limits: Aged / Female / Humans / Male Language: English Journal: Geroscience Year: 2021 Document Type: Article Affiliation country: S11357-021-00451-w