nach oben

Erschienen in:

2023 | OriginalPaper | Buchkapitel

Analyzing LOS Variation for Patients Under Emergency Interventions: A Bicentric Study

verfasst von : Alfonso Maria Ponsiglione, Marta Rosaria Marino, Eliana Raiola, Francesco Smeraglia, Enrico Festa, Giuseppe Russo, Anna Borrelli, Arianna Scala

Erschienen in: Biomedical and Computational Biology

Verlag: Springer International Publishing

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

Cholecystectomy and Appendectomy are the most frequent procedures in emergency general surgery. Emergency surgeries represent particularly important procedures in health care as they include various surgical specialties and represent a significant percentage of surgeries sustained in a hospital. This will have a reply is in terms of management of the resources that of costs supported from the hospital. The value of the average hospital stay, LOS, is an important parameter for the proper management of hospitals, providing support to clinicians. This study was conducted with the aim of predicting LOS for all patients undergoing appendectomy and cholecystectomy in the University Hospital “San Giovanni di Dio e Ruggi d’Aragona” of Salerno (Italy) and the A.O.R.N. “Antonio Cardarelli” of Naples (Italy).

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Vorheriges Kapitel Predictive Models for Studying Emergency Department Abandonment Rates: A Bicentric Study

Nächstes Kapitel Machine Learning Algorithms to Study Features Affecting the Length of Stay in Patients with Lower Limb Fractures: A Bicentric Study

Akinbami, F., Askari, R., Steinberg, J., Panizales, M., Rogers, O.: Factors affecting morbidity in emergency general surgery. Am. J. Surg. 201(4), 456–462 (2011). https://doi.org/10.1016/j.amjsurg.2010.11.007. ISSN 0002-9610CrossRefPubMed

Havens, J.M., et al.: The excess morbidity and mortality of emergency general surgery. J. Trauma Acute Care Surg. 78(2), 306–311 (2015). https://doi.org/10.1097/TA.0000000000000517CrossRefPubMed

Becher, R.D., Hoth, J.J., Miller, P.R., Mowery, N.T., Chang, M.C., Meredith, J.W.: A critical assessment of outcomes in emergency versus nonemergency general surgery using the American college of surgeons national surgical quality improvement program (NSQIP) database. Am Surg. 77(7), 951–959 (2011)CrossRefPubMed

Akinbami, F., Askari, R., Steinberg, J., Panizales, M., Rogers, S.O., Jr.: Factors affecting morbidity in emergency general surgery. Am J Surg. 201(4), 456–462 (2011)CrossRefPubMed

Rosa, D., et al.: How to manage a failed cartilage repair: a systematic literature review. Joints 5(2), 93–106 (2017)CrossRefPubMedPubMedCentral

Smeraglia, F., Basso, M.A., Famiglietti, G., Eckersley, R., Bernasconi, A., Balato, G.: Partial wrist denervation versus total wrist denervation: a systematic review of the literature. Hand Surg. Rehabil. 39(6), 487–491 (2020)CrossRefPubMed

Dimick, J.B., Chen, S.L., Taheri, P.A., et al.: Hospital costs associated with surgical complications: a report from the private-sector national surgical quality improvement program. J. Am. Coll. Surg. 199, 531–537 (2004)CrossRefPubMed

Semm, K.: Endoscopic appendectomy. Endoscopy 15, 59–64 (1983). https://doi.org/10.1055/s-2007-1021466CrossRefPubMed

Mayir, B., Bilecik, T., Ensari, C.O., Oruc, M.T.: Laparoscopic appendectomy with handmade loop. Videosurg. Miniinv. 9, 152–156 (2014). https://doi.org/10.5114/wiitm.2014.41624CrossRef

10.

Faiz, O., et al.: Traditional and laparoscopic appendectomy in adults. Ann. Surg. 248(5), 800–806 (2008). https://doi.org/10.1097/SLA.0b013e31818b770cCrossRefPubMed

11.

Strasberg, S.M.: Clinical practice. Acute calculous cholecystitis. N. Engl. J. Med. 358, 2804–2811 (2008). http://www.ncbi.nlm.nih.gov/pubmed/18579815

12.

Yamashita, Y., et al.: Surgical treatment of patients with acute cholecystitis: Tokyo guidelines (2007)

13.

McAleese, P., Odling-Smee, W.: The effect of complications on length of stay. Ann. Surg. 220(6), 740 (1994)CrossRefPubMedPubMedCentral

14.

Scala, A., et al.: Regression models to study the total LOS related to valvuloplasty. Int. J. Environ. Res. Public Health 19, 3117 (2022). https://doi.org/10.3390/ijerph19053117CrossRefPubMedPubMedCentral

15.

Achanta, A., et al.: Most of the variation in length of stay in emergency general surgery is not related to clinical factors of patient care. J. Trauma Acute Care Surg. 87, 408–412 (2019)CrossRefPubMed

16.

Smeraglia, F., Del Buono, A., Maffulli, N.: Endoscopic cubital tunnel release: a systematic review. Br Med Bull. 116, 155–163 (2015)PubMed

17.

Smeraglia, F., Tamborini, F., Garutti, L., Minini, A., Basso, M.A., Cherubino, M.: Chronic exertional compartment syndrome of the forearm: a systematic review. EFORT Open Rev. 6(2), 101–106 (2021)CrossRefPubMedPubMedCentral

18.

Detsky, A.S., Stricker, S.C., Mulley, A.G., Thibault, G.E.: Prognosis, survival, and the expenditure of hospital resources for patients in an intensive-care unit. N. Engl. J. Med. 305, 667–672 (1981)CrossRefPubMed

19.

Smeraglia, F., Mariconda, M., Balato, G., Di Donato, S.L., Criscuolo, G., Maffulli, N.: Dubious space for Artelon joint resurfacing for basal thumb (trapeziometacarpal joint) osteoarthritis. A systematic review. Br. Med. Bull. 126(1), 79–84 (2018)CrossRefPubMed

20.

Di Girolamo, R., Esposito, C., Moscato, V., Sperlí, G.: Evolutionary game theoretical on-line event detection over tweet streams. Knowl.-Based Syst. 211, 106563 (2021). https://doi.org/10.1016/j.knosys.2020.106563CrossRef

21.

Sperlí, G.: A deep learning based community detection approach. In: Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, pp. 1107–1110 (2019). https://doi.org/10.1145/3297280.3297574

22.

De Santo, A., Galli, A., Gravina, M., Moscato, V., Sperlì, G.: Deep learning for HDD health assessment: an application based on LSTM. IEEE Trans. Comput. 71(1), 69–80 (2020). https://doi.org/10.1109/TC.2020.3042053CrossRef

23.

La Gatta, V., Moscato, V., Pennone, M., Postiglione, M., Sperlí, G.: Music recommendation via hypergraph embedding. IEEE Trans. Neural Netw. Learn. Syst. (2022). https://doi.org/10.1109/TNNLS.2022.3146968

24.

Han, Q., Molinaro, C., Picariello, A., Sperli, G., Subrahmanian, V.S., Xiong, Y.: Generating fake documents using probabilistic logic graphs. IEEE Trans. Dependable Secure Comput. (2021). https://doi.org/10.1109/TDSC.2021.3058994

25.

Improta, G., Scala, A., Trunfio, T.A., Guizzi, G.: Application of supply chain management at drugs flow in an Italian hospital district. J. Phys. Conf. Ser. 1828(1) (2021). https://doi.org/10.1088/1742-6596/1828/1/012081

26.

Di Laura, D., D’Angiolella, L., Mantovani, L., et al.: Efficiency measures of emergency departments: an Italian systematic literature review. BMJ Open Qual. 10, e001058 (2021). https://doi.org/10.1136/bmjoq-2020-001058CrossRefPubMedPubMedCentral

27.

Improta, G., et al.: Management of the diabetic patient in the diagnostic care pathway. In: Jarm, T., Cvetkoska, A., Mahnič-Kalamiza, S., Miklavcic, D. (eds.) EMBEC 2020. IP, vol. 80, pp. 784–792. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-64610-3_88CrossRef

28.

Ponsiglione, A.M., Amato, F., Cozzolino, S., Russo, G., Romano, M., Improta, G.: A hybrid analytic hierarchy process and likert scale approach for the quality assessment of medical education programs. Mathematics 10(9), 1426 (2022)CrossRef

29.

Cesarelli, G., Montella, E., Scala, A., Raiola, E., Triassi, M., Improta, G.: DMAIC approach for the reduction of healthcare-associated infections in the neonatal intensive care unit of the university hospital of Naples ‘Federico II.’ In: Jarm, T., Cvetkoska, A., Mahnič-Kalamiza, S., Miklavcic, D. (eds.) EMBEC 2020. IFMBE Proceedings, vol. 80, pp. 414–423. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-64610-3_48CrossRef

30.

Raiola, E., et al.: Implementation of lean practices to reduce healthcare associated infections. Int. J. Healthc. Technol. Manag. 18, 51 (2020). https://doi.org/10.1504/IJHTM.2020.10039887CrossRef

31.

Ponsiglione, A.M., Cosentino, C., Cesarelli, G., Amato, F., Romano, M.: A comprehensive review of techniques for processing and analyzing fetal heart rate signals. Sensors 21(18), 6136 (2021)CrossRefPubMedPubMedCentral

32.

Ponsiglione, A.M., Amato, F., Romano, M.: Multiparametric investigation of dynamics in fetal heart rate signals. Bioengineering 9, 8 (2022). https://doi.org/10.3390/bioengineering9010008CrossRef

33.

Improta, G., Mazzella, V., Vecchione, D., Santini, S., Triassi, M.: Fuzzy logic–based clinical decision support system for the evaluation of renal function in post-transplant patients. J. Eval. Clin. Pract. 26(4), 1224–1234 (2020)CrossRefPubMed

34.

Giovanni, I., Pasquale, N., Carmela, S.L., Maria, T.: Health worker monitoring: Kalman-based software design for fault isolation in human breathing. In: EMSS 2014 Proceedings (2014)

35.

Balato, G., et al.: Laboratory-based versus qualitative assessment of α-defensin in periprosthetic hip and knee infections: a systematic review and meta-analysis. Arch. Orthop. Trauma Surg. 140(3), 293–301 (2019). https://doi.org/10.1007/s00402-019-03232-5CrossRefPubMed

36.

Balato, G., et al.: Bacterial biofilm formation is variably inhibited by different formulations of antibiotic-loaded bone cement in vitro. Knee Surg. Sports Traumatol. Arthrosc. 27(6), 1943–1952 (2018). https://doi.org/10.1007/s00167-018-5230-xCrossRefPubMed

37.

Rosa, D., Balato, G., Ciaramella, G., Soscia, E., Improta, G., Triassi, M.: Long-term clinical results and MRI changes after autologous chondrocyte implantation in the knee of young and active middle aged patients. J. Orthop. Traumatol. 17(1), 55–62 (2015). https://doi.org/10.1007/s10195-015-0383-6CrossRefPubMedPubMedCentral

38.

Scala, A., Loperto, I., Carrano, R., Federico, S., Triassi, M., Improta, G.: Assessment of proteinuria level in nephrology patients using a machine learning approach. In: 2021 5th International Conference on Medical and Health Informatics (ICMHI 2021), pp. 13–16. Association for Computing Machinery, New York (2021). https://doi.org/10.1145/3472813.3472816

39.

Santini, S., et al.: Using fuzzy logic for improving clinical daily-care of β-thalassemia patients. In 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), pp. 1–6. IEEE (2017)

40.

Latessa, I., et al.: Implementing fast track surgery in hip and knee arthroplasty using the lean six sigma methodology. TQM J. 33(7), 131–147 (2020)CrossRef

41.

De Franco, C., et al.: The active knee extension after extensor mechanism reconstruction using allograft is not influenced by “early mobilization”: a systematic review and meta-analysis. J. Orthop. Surg. Res. 17(1), 153 (2022)CrossRefPubMedPubMedCentral

42.

Balato, G., et al.: Debridement and implant retention in acute hematogenous periprosthetic joint infection after knee arthroplasty: a systematic review. Orthop. Rev. (Pavia) 14(2), 33670 (2022)PubMedPubMedCentral

43.

Baldini, A., Balato, G., Franceschini, V.: The role of offset stems in revision knee arthroplasty. Curr. Rev. Musculoskelet. Med. 8(4), 383–389 (2015). https://doi.org/10.1007/s12178-015-9294-7CrossRefPubMedPubMedCentral

44.

Scala, A., Trunfio, T.A., Borrelli, A., Ferrucci, G., Triassi, M., Improta, G.: Modelling the hospital length of stay for patients undergoing laparoscopic cholecystectomy through a multiple regression model. In: 2021 5th International Conference on Medical and Health Informatics (ICMHI 2021), pp. 68–72. Association for Computing Machinery, New York (2021). https://doi.org/10.1145/3472813.3472826

45.

Combes, C., Kadri, F., Chaabane, S.: Predicting hospital length of stay using regression models: application to emergency department (2014)

46.

Al Taleb, A.R., Hoque, M., Hasanat, A., Khan, M.B.: Application of data mining techniques to predict length of stay of stroke patients. In: 2017 International Conference on Informatics, Health Technology (ICIHT), pp. 1–5 (2017)

47.

Bender, G.J., et al.: Neonatal intensive care unit: predictive models for length of stay. J. Perinatol. Off. J. Calif. Perinat. Assoc. 33, 147–153 (2013)

48.

Bacchi, S., Tan, Y., Oakden-Rayner, L., Jannes, J., Kleinig, T., Koblar, S.: Machine learning in the prediction of medical inpatient length of stay. Intern. Med. J. 52, 176–185 (2022)CrossRefPubMed

49.

Trunfio, T.A., Scala, A., Borrelli, A., Sparano, M., Triassi, M., Improta, G.: Application of the lean six sigma approach to the study of the LOS of patients who undergo laparoscopic cholecystectomy at the San Giovanni di Dio and Ruggi d’Aragona University Hospital. In: 2021 5th International Conference on Medical and Health Informatics (ICMHI 2021), pp. 50–54. Association for Computing Machinery, New York (2021). https://doi.org/10.1145/3472813.3472823

50.

Maria Ponsiglione, A., et al.: Modeling the variation in length of stay for appendectomy and cholecystectomy interventions in the emergency general surgery. In: 2021 International Symposium on Biomedical Engineering and Computational Biology (2021)

51.

Guarino, F., Improta, G., Triassi, M., Castiglione, S., Cicatelli, A.: Air quality biomonitoring through Olea europaea L.: The study case of “Land of pyres.” Chemosphere 282, 131052 (2021). https://doi.org/10.1016/j.chemosphere.2021.131052CrossRefPubMed

52.

Guarino, F., Improta, G., Triassi, M., Cicatelli, A., Castiglione, S.: Effects of zinc pollution and compost amendment on the root microbiome of a metal tolerant poplar clone. Front. Microbiol. 11, 1677 (2020). https://doi.org/10.3389/fmicb.2020.01677CrossRefPubMedPubMedCentral

53.

Guarino, F., Conte, B., Improta, G., Sciarrillo, R., Castiglione, S., Cicatelli, A., Guarino, C.: Genetic characterization, micropropagation, and potential use for arsenic phytoremediation of Dittrichia viscosa (L.) Greuter. Ecotoxicol. Environ. Saf. 148, 675–683 (2018). https://doi.org/10.1016/j.ecoenv.2017.11.010CrossRefPubMed

54.

Guarino, F., Cicatelli, A., Brundu, G., Improta, G., Triassi, M., Castiglione, S.: The use of MSAP reveals epigenetic diversity of the invasive clonal populations of Arundo donax L. PLoS One 14 (2019) https://doi.org/10.1371/journal.pone.0215096

55.

De Agostini, A., et al.: Heavy metal tolerance of orchid populations growing on abandoned mine tailings: a case study in Sardinia Island (Italy). Ecotoxicol. Environ. Saf. 189, 110018 (2020). https://doi.org/10.1016/j.ecoenv.2019.110018CrossRefPubMed

56.

Moccia, E., et al.: Use of Zea mays L. in phytoremediation of trichloroethylene. Environ. Sci. Pollut. Res. 24, 11053–11060 (2017). https://doi.org/10.1007/s11356-016-7570-8CrossRef

57.

Smeraglia, F., Basso, M.A., Famiglietti, G., Cozzolino, A., Balato, G., Bernasconi, A.: Pyrocardan® interpositional arthroplasty for trapeziometacarpal osteoarthritis: a minimum four year follow-up. Int. Orthop. 46(8), 1803–1810 (2022)CrossRefPubMed

Titel: Analyzing LOS Variation for Patients Under Emergency Interventions: A Bicentric Study
verfasst von: Alfonso Maria Ponsiglione
Marta Rosaria Marino
Eliana Raiola
Francesco Smeraglia
Enrico Festa
Giuseppe Russo
Anna Borrelli
Arianna Scala
Verlag: Springer International Publishing
Buch: Biomedical and Computational Biology
Print ISBN: 978-3-031-25190-0

Electronic ISBN: 978-3-031-25191-7

Copyright-Jahr: 2023
DOI: https://doi.org/10.1007/978-3-031-25191-7_42

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"

Premium Partner