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1.
Front Med (Lausanne) ; 9: 819134, 2022.
Article in English | MEDLINE | ID: covidwho-1775694

ABSTRACT

Background: This study aimed to describe an innovative and functional method to deal with the increased COVID-19 pandemic-related intensive care unit bed requirements. Methods: We described the emergency creation of an integrated system of internistic ward, step-down unit, and intensive care unit, physically located in reciprocal vicinity on the same floor. The run was carried out under the control of single intensive care staff, through sharing clinical protocols and informatics systems, and following single director supervision. The intention was to create a dynamic and flexible system, allowing for rapid and fluid patient admission/discharge, depending on the requirements due to the third Italian peak of the COVID-19 pandemic in March 2021. Results: This study involved 142 COVID-19 patients and 66 non-COVID-19 patients who were admitted; no critical patient was left unadmitted and no COVID-19 severe patients referring to our center had to be redirected to other hospitals due to bed saturation. This system allowed shorter hospital length-of-stay in general wards (5.9 ± 4 days) than in other internistic COVID-19 wards and overall mortality in line with those reported in literature despite the peak raging. Conclusion: This case report showed the feasibility and the efficiency of this dynamic model of hospital rearrangement to deal with COVID-19 pandemic peaks.

3.
SAGE Open Med Case Rep ; 8: 2050313X20983132, 2020.
Article in English | MEDLINE | ID: covidwho-999379

ABSTRACT

Rhabdomyolysis is an uncommon complication of the coronavirus disease 2019 (COVID-19) infection. Previous reports have described its management and treatment in medical units, but have not discussed confirmatory tests or differential diagnosis. We report a case of a 58 year-old male patient, who was admitted for COVID-19 pneumonia and subsequently developed severe weakness, inability to move limbs, acute renal failure, significantly elevated myoglobin and creatinine kinase, and was diagnosed with rhabdomyolysis. Continuous renal replacement therapy, the treatment modality of choice over hyperhydration due to ongoing mechanical ventilation, was effective in resolving symptoms. No direct viral invasion of muscles was noted on biopsy. Here, we describe his symptoms, electromyography, and muscular biopsy results, and further discuss the possible differential diagnoses. Neuromuscular symptoms related to COVID-19 require careful clinical analysis. In addition, detailed reports of patients' course of illness and diagnoses will assist in improving care for affected patients.

4.
Transl Med Commun ; 5(1): 27, 2020.
Article in English | MEDLINE | ID: covidwho-992584

ABSTRACT

BACKGROUND: This study was conceived to provide systematic data about lung mechanics during early phases of CoVID-19 pneumonia, as long as to explore its variations during prone positioning. METHODS: We enrolled four patients hospitalized in the Intensive Care Unit of "M. Bufalini" hospital, Cesena (Italy); after the positioning of an esophageal balloon, we measured mechanical power, respiratory system and transpulmonary parameters and arterial blood gases every 6 hours, just before decubitus change and 1 hour after prono-supination. RESULTS: Both respiratory system and transpulmonary compliance and driving pressure confirmed the pseudo-normal respiratory mechanics of early CoVID-19 pneumonia (respectively, CRS 40.8 ml/cmH2O and DPRS 9.7 cmH2O; CL 53.1 ml/cmH2O and DPL 7.9 cmH2O). Interestingly, prone positioning involved a worsening in respiratory mechanical properties throughout time (CRS,SUP 56.3 ml/cmH2O and CRS,PR 41.5 ml/cmH2O - P 0.37; CL,SUP 80.8 ml/cmH2O and CL,PR 53.2 ml/cmH2O - P 0.23). CONCLUSIONS: Despite the severe ARDS pattern, respiratory system and lung mechanical properties during CoVID-19 pneumonia are pseudo-normal and tend to worsen during pronation. TRIAL REGISTRATION: Restrospectively registered.

5.
Int J Qual Health Care ; 33(1)2021 Feb 20.
Article in English | MEDLINE | ID: covidwho-704209

ABSTRACT

QUALITY PROBLEM OR ISSUE: The on-going COVID-19 pandemic may cause the collapse of healthcare systems because of unprecedented hospitalization rates. INITIAL ASSESSMENT: A total of 8.2 individuals per 1000 inhabitants have been diagnosed with COVID-19 in our province. The hospital predisposed 110 beds for COVID-19 patients: on the day of the local peak, 90% of them were occupied and intensive care unit (ICU) faced unprecedented admission rates, fearing system collapse. CHOICE OF SOLUTION: Instead of increasing the number of ICU beds, the creation of a step-down unit (SDU) close to the ICU was preferred: the aim was to safely improve the transfer of patients and to relieve ICU from the risk of overload. IMPLEMENTATION: A nine-bed SDU was created next to the ICU, led by intensivists and ICU nurses, with adequate personal protective equipment, monitoring systems and ventilators for respiratory support when needed. A second six-bed SDU was also created. EVALUATION: Patients were clinically comparable to those of most reports from Western Countries now available in the literature. ICU never needed supernumerary beds, no patient died in the SDU, and there was no waiting time for ICU admission of critical patients. SDU has been affordable from human resources, safety and economic points of view. LESSONS LEARNED: COVID-19 is like an enduring mass casualty incident. Solutions tailored on local epidemiology and available resources should be implemented to preserve the efficiency and adaptability of our institutions and provide the adequate sanitary response.


Subject(s)
COVID-19/therapy , Critical Illness , Intensive Care Units/organization & administration , Intermediate Care Facilities/organization & administration , Bed Occupancy/statistics & numerical data , COVID-19/epidemiology , Humans , Italy/epidemiology , Pandemics , SARS-CoV-2
6.
World J Emerg Surg ; 15(1): 41, 2020 06 30.
Article in English | MEDLINE | ID: covidwho-618185

ABSTRACT

BACKGROUND: Iron metabolism and immune response to SARS-CoV-2 have not been described yet in intensive care patients, although they are likely involved in Covid-19 pathogenesis. METHODS: We performed an observational study during the peak of pandemic in our intensive care unit, dosing D-dimer, C-reactive protein, troponin T, lactate dehydrogenase, ferritin, serum iron, transferrin, transferrin saturation, transferrin soluble receptor, lymphocyte count and NK, CD3, CD4, CD8 and B subgroups of 31 patients during the first 2 weeks of their ICU stay. Correlation with mortality and severity at the time of admission was tested with the Spearman coefficient and Mann-Whitney test. Trends over time were tested with the Kruskal-Wallis analysis. RESULTS: Lymphopenia is severe and constant, with a nadir on day 2 of ICU stay (median 0.555 109/L; interquartile range (IQR) 0.450 109/L); all lymphocytic subgroups are dramatically reduced in critically ill patients, while CD4/CD8 ratio remains normal. Neither ferritin nor lymphocyte count follows significant trends in ICU patients. Transferrin saturation is extremely reduced at ICU admission (median 9%; IQR 7%), then significantly increases at days 3 to 6 (median 33%, IQR 26.5%, p value 0.026). The same trend is observed with serum iron levels (median 25.5 µg/L, IQR 69 µg/L at admission; median 73 µg/L, IQR 56 µg/L on days 3 to 6) without reaching statistical significance. Hyperferritinemia is constant during intensive care stay: however, its dosage might be helpful in individuating patients developing haemophagocytic lymphohistiocytosis. D-dimer is elevated and progressively increases from admission (median 1319 µg/L; IQR 1285 µg/L) to days 3 to 6 (median 6820 µg/L; IQR 6619 µg/L), despite not reaching significant results. We describe trends of all the abovementioned parameters during ICU stay. CONCLUSIONS: The description of iron metabolism and lymphocyte count in Covid-19 patients admitted to the intensive care unit provided with this paper might allow a wider understanding of SARS-CoV-2 pathophysiology.


Subject(s)
Coronavirus Infections , Critical Care , Iron/metabolism , Lymphocytes/immunology , Pandemics , Pneumonia, Viral , Aged , Betacoronavirus/isolation & purification , Blood Coagulation , COVID-19 , Coronavirus Infections/blood , Coronavirus Infections/mortality , Coronavirus Infections/physiopathology , Coronavirus Infections/therapy , Correlation of Data , Critical Care/methods , Critical Care/statistics & numerical data , Female , Humans , Intensive Care Units/statistics & numerical data , Italy/epidemiology , Lymphocyte Count/methods , Lymphocyte Subsets , Male , Middle Aged , Mortality , Pneumonia, Viral/blood , Pneumonia, Viral/mortality , Pneumonia, Viral/physiopathology , Pneumonia, Viral/therapy , SARS-CoV-2 , Severity of Illness Index , Transferrin/analysis
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