Table 1.

Hospital mortality of patients admitted to internal medicine wards according to the available literature

AuthorsCountryYearDesignMain aimNo. of patientsIn-hospital mortality, n (%)Follow-up mortality, n (%) [follow-up]
Sanclemente et al1Spain2004RetrospectivePatients' characteristics and mortality16,059819 (5.1)N/A
Kettaneh et al2France2007RetrospectivePrediction of mortality by biochemical markers1,05459 (5.6)N/A
Francia et al3Spain2009ProspectivePhysiological parameters vs clinical categories to predict mortality50065 (13.0)N/A
Marco et al4Spain2010RetrospectiveWeekend admission and mortality460,42347,569 (10.3)N/A
Subbe et al5Ireland2010ProspectiveA clinical score and mortality1,09882 (7.5)N/A
Mannucci et al6Italy2014ProspectiveMultimorbidity, polypharmacy and mortality3,999158 (4.0)140 (8.1) [3-month]
Aljishi et al7New Zealand2014RetrospectiveReadmissions and mortality394N/A91 (23.1) [1-year]
Smolin et al8Israel2015RetrospectiveA prediction model of 6-month mortality19,257N/A (9.5)N/A (20) [3-month]
Perysinaki et al9Greece2015ProspectiveMortality predictors10116 (15.8)30 (29.7) [6-month]
Fabbian et al10Italy2017RetrospectiveA predictive model of mortality75,5866,007 (7.9)N/A
Schwartz et al11Israel2017RetrospectiveA predictive model of mortality10,788874 (8.1)N/A
Sakhnini et al12Israel2017RetrospectiveA predictive model of mortality12,499882 (7.1)N/A
Lenti et al13Italy2019RetrospectiveGastrointestinal bleeding in elderly patients1204 (3.3)8 (9.4)
Sanson et al14Italy2019RetrospectiveA predictive model of mortality5,698452 (7.9)1,303 (22.9) [3-month]
Han et al15South Korea2020RetrospectiveFulltime hospitalist service and mortality51346 (9.0)N/A
Soffer et al16Israel2020RetrospectivePrediction of mortality by machine learning118,2626311 (5.3)N/A